pax_global_header00006660000000000000000000000064137015125130014510gustar00rootroot0000000000000052 comment=5e1364db1e71c7e6ad9586e3ba7599e08e7cdce8 QMix-1.0.6/000077500000000000000000000000001370151251300123725ustar00rootroot00000000000000QMix-1.0.6/.gitattributes000066400000000000000000000002341370151251300152640ustar00rootroot00000000000000*.py linguist-language=Python *.ipynb linguist-documentation notebooks/* linguist-documentation paper/* linguist-documentation docs/* linguist-documentationQMix-1.0.6/.gitignore000066400000000000000000000006071370151251300143650ustar00rootroot00000000000000.cache .coverage .coveralls.yml .DS_Store .idea .ipynb_checkpoints .pytest_cache .ropeproject *.lprof *.pdf *.pgf *.png *.py.bak *.pyc qmix/exp/hfss_data.py bin/ misc/ my-projects/ old/ speed/ build/ dist/ htmlcov/ QMix.egg-info/ __pycache__/ .eggs/ docs/source/analyze-experimental-data.ipynb docs/source/multi-tone-simulation.ipynb docs/source/single-tone-simulation.ipynb Makefile QMix-1.0.6/.travis.yml000066400000000000000000000022531370151251300145050ustar00rootroot00000000000000# Parameters for Travis CI tests # These are automated tests that run after each commit # see: https://docs.travis-ci.com/user/languages/python/ language: python python: - "3.7" install: # install dependencies - pip install llvmlite --prefer-binary - pip install -r requirements.txt - pip install . # install testing dependencies - pip install pytest>=3.0 - pip install pytest-cov==2.5.0 - pip install coveralls # install documentation dependencies - pip install ipython - pip install ipykernel - pip install jupyter - pip install nbconvert - pip install pandoc - pip install sphinx>=1.6 - pip install sphinx_rtd_theme - pip install nbsphinx addons: apt_packages: - pandoc script: # run tests - py.test ./tests/ --verbose --doctest-modules --color=yes --cov=./qmix/ --cov-report=term-missing # build documentation - cp notebooks/*.ipynb docs/source/ - ls docs/source/ - make -C docs/ html - touch docs/build/html/.nojekyll after_success: # for coveralls.io - coveralls deploy: # push to github pages - provider: pages verbose: true token: $GITHUB_TOKEN edge: true local_dir: docs/build/html/ keep_history: trueQMix-1.0.6/CHANGES.md000066400000000000000000000205321370151251300137660ustar00rootroot00000000000000v1.0.6 (unreleased) =================== Functionality Changes --------------------- - Renamed ``cct.vph`` to ``cct.freq`` (in ``qmix.circuit.EmbeddingCircuit``). The normalized photon voltage is equivalent to the normalized frequency. I think frequency is easier to understand so I changed it. - Deleted the command line scripts (``bin/``). There was only one script and it was pretty obscure so I descided to delete it. - Moved ``qtcurrent_all_freq()`` function from ``qmix.qtcurrent`` to ``qmix.harmonic_balance``. Again, it's a pretty obscure function and it's only used in the ``harmonic_balance`` module, so I moved it. - Deleted ``qtcurrent_std`` from ``qmix.qtcurrent``. This function calculated the "standard" output values, but this was pretty arbitrary. It also didn't really simplify the package at all so I deleted it. Optimization ------------ - Added more detailed benchmarking and profiling scripts (found in ``QMix/profile/``). - ``qmix.qtcurrent.qtcurrent`` is now ~20% faster for 1 tone. - ``qmix.harmonic_balance.harmonic_balance`` is ~20% faster for 1 or 2 tones, and ~10% faster for 3 tones. Documentation ------------- - Travis CI now automatically rebuilds the online documentation on each new commit. - Added information on how to contribute to QMix to README. - Added docstrings to many private functions. This should allow new users to understand the inner workings a bit better. Miscellaneous Minor Changes --------------------------- - ``QMix/examples/`` renamed ``QMix/notebooks/`` - Removed ``codemeta.json`` and ``setup.cfg``. - Fixed several bugs with Travis CI. v1.0.5 (30-Jul-2019) ==================== Experimental data ----------------- - Process experimental data in a consistent order (i.e., I-V and IF data should be processed in the same way). - Add warning if normal resistance is too low or too high. This can help to detect if you are using the wrong units for the current. - Make parameters in ``qmix.exp.parameters`` more consistent. Changes include: - ``voffset_range``, which defines where the voltage offset is potentially found, is now defined as a list. E.g., if the experimental voltage offset could be found anywhere between -0.5mV and 0.1mV, you now use ``voffset_range=(-0.5e-3, 0.1e-3)``. This change is backwards compatible, so you can still define it as a float if you like. For example, if you set ``voffset_range=1e-3``, this is equivalent to ``voffset_range=(-1e-3, 1e-3)``. - ``rn_vmin`` and ``rn_vmax``, which previously defined where the normal resistance was calculated, are now combined into ``vrn``. Previously, this was defined using ``rn_vmin`` and ``rn_vmax``. Now, it is defined using ``vrn`` as a list. For example, if you previously used ``rn_vmin=4e-3`` and ``rn_vmax=5e-3``, you would now use ``vrn=(4e-3, 5e-3)``. This change is backwards compatible, so you can still use ``rn_vmin`` and ``rn_vmax``. - ``vshot``, which controls where the shot noise slope is calculated, is now a list of lists, so that multiple voltage ranges can be defined. For example, if the shot noise slope is smooth between from 4-5mV and 5.5-6mV, you can define ``vshot=((4e-3,5e-3),(5.5e-3,6e-3))``. This change is backwards compatible, so you can still use a normal list. - ``cut_low`` and ``cut_high``, which previously defined the region of the first photon step that would be used for impedance recovery, are now combined into ``fit_range``. For example, if you previously used ``cut_low=0.25`` and ``cut_high=0.2``, you should now use ``fit_interval=(0.25, 0.8)``. (NB: The way that the upper limit is defined has been changed!). In this example, the script will ignore the first 25% of the photon step and the last 20% during the impdance recovery process. This is backwards compatible, so you can still use ``cut_low`` and ``cut_high`` if you like. - ``vgap_guess`` and ``igap_guess`` have been removed. They actually weren't needed all along. - ``ifdata_vmax``, which previously defined the maximum IF voltage to import, has been removed. QMix now uses the value from ``vmax`` instead. - ``ifdata_sigma``, which defines the width of the filter for the IF data, is now defined in units [V]. Previously, it was defined by the number of data points. This is also backwards compatible (if ``ifdata_sigma`` is >0.5, it will assume that you are defining it by the number steps). Optimization ------------ - Add basic timing scripts for ``qmix.harmonic_balance``. See ``speed/`` directory. - Use a better initial guess for the junction voltage in the ``qmix.harmonic_balance.harmonic_balance`` function. Testing ------- - Improve code coverage. Now 99.0% covered! Command line ------------ - Add command line script to plot IF response from experimental data (``bin/plot-if-response.py``). v1.0.4 (15-Apr-2019) ==================== Optimization ------------ - Optimize ``qmix.qtcurrent`` using Numba and JIT. 4 tone simulations are now 1.5 times faster! - Add basic timing scripts for ``qmix.qtcurrent``. See ``speed/`` directory. Changes ------- - Move the code that is used for analyzing the IF response into a new module: ``qmix.exp.if_response``. New Features ------------ - Add ability to force embedding impedance in ``qmix.exp.exp_data.RawData``. The embedding voltage will then be calculated using this value. Testing ------- - Improve test coverage for ``qmix.circuit``, ``qmix.respfn``, and ``qmix.exp.exp_data``. - Add tests for new module (``qmix.exp.if_response``). - Add notebook to recreate plots from Kittara's thesis. (For the purpose of validation.) Minor Changes ------------- - Improved progress messages from ``qmix.harmonic_balance.harmonic_balance``. - Add ability to plot response function (``qmix.respfn.RespFn``). - Always use default parameters from ``qmix.exp.parameters`` (i.e., reduce the number of magic numbers). - Add ability to call ``qmix.respfn.RespFn`` by adding ``__call__`` method. This will return the interpolated response function (a complex value). - Fix error in ``qmix.harmonic_balance.harmonic_balance`` (when Thevenin voltage is checked). - Other minor changes to documentation. v1.0.3 (20-Mar-2019) ==================== - This release was created after the JOSS review. - There are minor changes to the documentation, but no changes to the code base. v1.0.2 (11-Mar-2019) ==================== New Features ------------ - All plotting functions now accept and return Matplotlib axis objects. - When analyzing experimental data, you can now pass either CSV files or Numpy arrays to ``RawData`` and ``RawData0``. Changes ------- - In the ``qmix.respfn.RespFn`` class, the ``f_idc``, ``f_ikk``, ``f_didc``, and ``f_dikk`` attributes were all made private by adding a leading underscore. They are replaced by the ``idc``, ``ikk``, ``didc`` and ``dikk`` methods, respectively. - In the experimental data module, the parameter ``iv_multiplier`` was renamed ``i_multiplier``. ``RawData0`` and ``RawData`` use this parameter to correct imported current values. (All imported current data is multiplied by ``i_multiplier``.) I also added ``v_multiplier``, which does the same things, except for imported voltage data. Testing ------- - Dropped Travis-CI testing with Python 3.5-dev and 3.6-dev. QMix is now tested with 3.5, 3.6 and 3.7-dev. - Added automatic coverage testing through coveralls.io. Bug Fixes --------- - Fixed potential issue with file paths. Previously, file paths were built assuming a mac operating system (e.g., ``"some-dir/this-figure.png"``). The package was updated to now use ``os.path.join("some-dir", "this-figure.png")``, which is machine independent. Documentation ------------- - Added package API to web page. - Added more information about how experimental is stored and imported into QMix. - Added information on getting support and contributing to QMix. - Added descriptions of different response function types to docstring in ``qmix.respfn.py``. - Added more comments on keyword arguments and attributes for classes in ``qmix.circuit.py`` and ``qmix.respfn.py``. (This should help to explain some of the SIS-related jargon.) - Added use cases for many class methods. - Fixed documentation for ``qmix.exp.parameters.py``. - Updated workflow examples. - Other (minor) changes. v1.0.1 (5-Feb-2019) =================== Bug Fixes --------- - Fixed description in setup.py. Previously, there were some non-ASCII characters, which were causing issues on Windows installations. v1.0.0 (11-Jan-2019) ==================== Initial release. QMix-1.0.6/CODE_GUIDELINES.md000066400000000000000000000123261370151251300151420ustar00rootroot00000000000000Code Guidelines for the QMix Package ==================================== - All new code must follow our [Python coding guidelines](#python-code). - In addition, all new code must include: - [docstrings](#docstrings) for each new module, function, class and dictionary, - [unit tests](#unit-tests) for each new function and class, and - updated [documentation](#qmix-documentation) for the QMix web page. - Please also update the docstrings and tests if you change how a function or class operates. - Follow our [Git guidelines](#version-control) for all Git commits and branches. - General best practice: - [Open Sourcing a Python Project the Right Way](https://jeffknupp.com/blog/2013/08/16/open-sourcing-a-python-project-the-right-way/) - [Best Practice for Scientific Computing](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745) - [Packaging a python library](https://blog.ionelmc.ro/2014/05/25/python-packaging/) Python Code ----------- - In general, follow [Google's style guidelines](https://google.github.io/styleguide/pyguide.html) and ["Best practices for scientific computing"](http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745) by G. Wilson et al. - This includes giving variables, functions and classes meaningful names; using consistent formatting (i.e., follow what's already there); using Git effectively; using issue tracking; and writing in small steps with frequent testing. - All Python code should also follow the [PEP-008](https://www.python.org/dev/peps/pep-0008/) guidelines. - Always use 4 spaces to indent code, **never tabs.** - Try to stay below 80 characters per line. Sometimes this doesn't make sense, so use your own judgment. - The command `pep8` can be used to check PEP-008 consistency: - To install: `pip install pep8` - To run: `pep8 ` - The command `autopep8` can be used to force PEP-008 consistency: - To install: `pip install autopep8` - To run: `autopep8 qmix --recursive --in-place --pep8-passes 2000 --verbose` - In addition to these guidelines, please ensure that your code: - is compatible with Python version 3.5 and later, and - only depends on the standard library; the NumPy, SciPy, Numba or Matplotlib packages; and the dependencies thereof. - Finally, please also ensure that there are only ASCII characters in your code (no unicode). - Using regular expression, you can search for non-ASCII characters using `[^\x00-\x7F]+` Docstrings ---------- - Docstrings are required for every public module, function, class and dictionary. - Please use the [Google docstring format](https://google.github.io/styleguide/pyguide.html#381-docstrings) and follow the [PEP-257](https://www.python.org/dev/peps/pep-0257/) guidelines. - Note: It's okay to comment private functions with inline comments (i.e., functions that start with a single underscore and are only used within that module). Unit Tests ---------- - Unit tests are required for all public functions and classes. - The tests should be able to be run using `pytest` and should follow the file structure seen in the `QMix/tests/` directory. - Ensure that your new tests pass when you run: - ``pytest --verbose --color=yes tests/`` - You should also check your test coverage using: - ``pytest --verbose --color=yes --cov=qmix/ --cov-report=html tests/`` - See Pytest's [Good Integration Practices](http://doc.pytest.org/en/latest/goodpractices.html) for more information. QMix Documentation ------------------ - The [QMix webpage](https://garrettj403.github.io/QMix/qmix.html) includes a section that outlines all of the modules, functions and classes that are contained within the QMix package. - If you add any new code, please update this documentation by running: - ``sphinx-apidoc -o docs/source/ qmix/`` Version Control --------------- - The QMix project uses Git for version control and is hosted at: www.github.com/garrettj403/QMix - So far, the QMix project has been written entirely by me, John Garrett. Because of this, I have been a bit sloppy in how I manage Git commits/branches. Moving forward, I would like to adopt a more formal Git commit/branching model (e.g., see ["A successful Git branching model"](https://nvie.com/posts/a-successful-git-branching-model/)). - Some quick guidelines: - Always keep `master` branch clean (i.e., production-ready). - Use `develop` branch for developing new releases. Merge into `master` when stable (with new release tag). - Use `feature/` branches for developing new features. Should branch off of `develop` and merge back into `develop` when done. These branches generally only exist on developer repos (not `origin`). - Recommended tools: - [gitflow](https://github.com/nvie/gitflow) Other Notes ----------- - For matrix indices, follow this order: - frequency (`f`), harmonic (`p`), summation index (`k`), voltage point (`i`) - e.g., for the Thevenin voltage: `vt[f, p]` - e.g., for the Convolution coefficient: `ckh[f, p, k, i]` - Use American spelling everywhere to be consistent with the rest of Python. - Note: If you have Aspell installed, you can check your spelling against the American dictionary using: - `aspell -c -d en_US `QMix-1.0.6/CONTRIBUTING.md000066400000000000000000000042571370151251300146330ustar00rootroot00000000000000Contributing to QMix ==================== We welcome contributions via [pull requests](#contributing-new-code). You can also [report bugs](#reporting-bugs) or [request new features](#requesting-new-features) through the [GitHub issue tracker](https://github.com/garrettj403/QMix/issues). **Note:** If you are new to GitHub, you can learn more about how to make contributions to GitHub projects [here](https://guides.github.com/introduction/flow/) and more about forking repositories [here](https://guides.github.com/activities/forking/). Reporting Bugs -------------- If you find any bugs in QMix, please create a new issue through the [GitHub Issue tracker](https://github.com/garrettj403/QMix/issues) with the ``bug`` label. In your message, please include your: - operating system - Python version - package versions (Numpy, SciPy and Matplotlib) - if applicable, a small code snippet that recreates the error **Note:** Before reporting a bug, please ensure that you are using the latest version of QMix and that you are using the QMix virtual environment (``QMix/environment.yml``). Requesting New Features ----------------------- If you would like a new feature added to QMix, please create a new issue through the [GitHub Issue tracker](https://github.com/garrettj403/QMix/issues) with the ``enhancement`` label. We can then discuss the improvements online, including whether the changes are necessary and how to implement the proposed changes. Contributing New Code --------------------- If you would like to contribute new code to the QMix project, you can fork the repository, make your changes, and then create a pull request. To remain consistent with the rest of the QMix package, please follow the [QMix code guidelines](https://github.com/garrettj403/QMix/blob/master/CODE_GUIDELINES.md). Seeking Support --------------- If you are having any problems installing QMix or setting up your simulation, please create a new issue through the [GitHub Issue tracker](https://github.com/garrettj403/QMix/issues) with the ``help wanted`` or ``question`` tag. 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But first, please read .QMix-1.0.6/README.md000066400000000000000000000130351370151251300136530ustar00rootroot00000000000000QMix ==== **Quantum Mixing software** [![PyPI version](https://badge.fury.io/py/QMix.svg)](https://badge.fury.io/py/QMix) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/QMix.svg)](https://pypi.org/project/QMix/) [![Build Status](https://travis-ci.org/garrettj403/QMix.svg?branch=master)](https://travis-ci.org/garrettj403/QMix) [![Coverage Status](https://coveralls.io/repos/github/garrettj403/QMix/badge.svg?branch=master)](https://coveralls.io/github/garrettj403/QMix?branch=master) [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://github.com/garrettj403/QMix/blob/master/LICENSE) QMix is used to simulate the quasiparticle tunneling currents in Superconductor/Insulator/Superconductor (SIS) junctions. In radio astronomy, these junctions are used for heterodyne mixing at millimeter and submillimeter wavelengths. QMix can be used to simulate the behavior of SIS mixers, optimize their performance and investigate experimental results. In order to calculate the quasiparticle tunneling currents, QMix uses *multi-tone spectral domain analysis* (see [references](https://garrettj403.github.io/QMix/references.html#references-related-to-multi-tone-spectral-domain-analysis)). Among other applications, this makes QMix ideal for simulating power saturation, higher-order harmonics, sub-harmonic pumping, harmonic mixing and frequency multiplication. **Website:** https://garrettj403.github.io/QMix/ Getting Started --------------- The easiest way to install QMix is using ``pip``: # for latest release python -m pip install QMix # for latest commit python -m pip install git+https://github.com/garrettj403/QMix.git Take a look at the [QMix website](https://garrettj403.github.io/QMix/) for more information on how to use the QMix package and examples showing how to simulate SIS junctions. If you run into any problems, please create a new issue through the [issue tracker](https://github.com/garrettj403/QMix/issues) with the ``help wanted`` or ``question`` tag. In your message, make sure to include your operating system, Python version, and package versions for QMix, Numpy, SciPy and Matplotlib. Contributing to QMix -------------------- [![GitHub issues](https://img.shields.io/github/issues-raw/garrettj403/QMix.svg)](https://github.com/garrettj403/QMix/issues) [![GitHub commits since latest release](https://img.shields.io/github/commits-since/garrettj403/QMix/latest.svg)](https://github.com/garrettj403/QMix/commits/master) If you would like to contribute to the QMix project, please take a look at the [contribution instructions](https://github.com/garrettj403/QMix/blob/master/CONTRIBUTING.md). This document includes information on reporting bugs, requesting new features, creating pull requests and contributing new code. To get a local copy of QMix running: # Download QMix git clone https://github.com/garrettj403/QMix.git QMix cd QMix/ # Create a virtual environment using Anaconda conda env create -f environment.yml conda activate qmix # Install QMix python -m pip install -e . # Test installation pytest --verbose --color=yes tests/ Examples -------- QMix can be used to simulate a wide variety of SIS junction behavior. A simple example is shown below for simulating an SIS mixer at 230 GHz. You can find more examples in the ``QMix/notebooks/`` directory or on the [QMix website](https://garrettj403.github.io/QMix/single-tone-simple.html). ![](https://raw.githubusercontent.com/garrettj403/QMix/master/notebooks/results/multi-tone-results.png) Citing QMix ----------- If you use QMix, please cite the following papers: [![DOI1](https://img.shields.io/badge/DOI%201%3A-10.21105%2Fjoss.01231-blue)](https://doi.org/10.21105/joss.01231) @article{Qmix1, author = {J. D. Garrett and G. Yassin}, title = {{QMix: A Python package for simulating the quasiparticle tunneling currents in SIS junctions}}, publisher = {Journal of Open Source Software}, month = mar, year = 2019, volume = 4, number = 35, pages = 1231, doi = {10.21105/joss.01231}, url = {https://doi.org/10.21105/joss.01231}, } [![DOI2](https://img.shields.io/badge/DOI%202%3A-10.1109%2FTTHZ.2019.2938993-blue)](https://doi.org/10.1109/TTHZ.2019.2938993) @article{Qmix2, author = {J. D. Garrett and B.-K. Tan and F. Boussaha and C. Chaumont and G. Yassin}, title = {{Simulating the Behavior of a 230-GHz SIS Mixer Using Multitone Spectral Domain Analysis}}, publisher = {IEEE Transactions on Terahertz Science and Technology}, month = nov, year = 2019, volume = 9, number = 6, pages = {540--548}, doi = {10.1109/TTHZ.2019.2938993}, url = {https://ieeexplore.ieee.org/document/8822760/}, } You can also cite a specific version of QMix by citing the appropriate Zenodo archive: [![DOI3](https://img.shields.io/badge/DOI%203%3A-10.5281%2Fzenodo.2538162-blue)](https://doi.org/10.5281/zenodo.2538162) @article{Qmix3, author = {J. D. Garrett and G. Yassin}, title = {{garrettj403/QMix (Version v1.0.4)}}, month = apr, year = 2019, publisher = {Zenodo}, doi = {10.5281/zenodo.2640907}, url = {http://doi.org/10.5281/zenodo.2640907} } License ------- QMix is released under a [GNU General Public License, Version 3](https://github.com/garrettj403/QMix/blob/master/LICENSE). QMix-1.0.6/docs/000077500000000000000000000000001370151251300133225ustar00rootroot00000000000000QMix-1.0.6/docs/Makefile000066400000000000000000000013421370151251300147620ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build SPHINXPROJ = QMix SOURCEDIR = source BUILDDIR = build PDF = # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) latexpdf: make latex make -C $(BUILDDIR)/latex make -C $(BUILDDIR)/latex cp $(BUILDDIR)/latex/QMix.pdf $(PDF) QMix-1.0.6/docs/README.md000066400000000000000000000003331370151251300146000ustar00rootroot00000000000000Documentation for QMix ====================== To generate webpage, run: make html This will generate ``*.html`` files in the ``../../QMix-docs/html/`` directory. Open ``../../QMix-docs/html/index.html`` to view.QMix-1.0.6/docs/source/000077500000000000000000000000001370151251300146225ustar00rootroot00000000000000QMix-1.0.6/docs/source/Makefile000066400000000000000000000166621370151251300162750ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . # the i18n builder cannot share the environment and doctrees with the others I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . .PHONY: help help: @echo "Please use \`make ' where is one of" @echo " html to make standalone HTML files" @echo " dirhtml to make HTML files named index.html in directories" @echo " singlehtml to make a single large HTML file" @echo " pickle to make pickle files" @echo " json to make JSON files" @echo " htmlhelp to make HTML files and a HTML help project" @echo " qthelp to make HTML files and a qthelp project" @echo " applehelp to make an Apple Help Book" @echo " devhelp to make HTML files and a Devhelp project" @echo " epub to make an epub" @echo " epub3 to make an epub3" @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " latexpdf to make LaTeX files and run them through pdflatex" @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" @echo " text to make text files" @echo " man to make manual pages" @echo " texinfo to make Texinfo files" @echo " info to make Texinfo files and run them through makeinfo" @echo " gettext to make PO message catalogs" @echo " changes to make an overview of all changed/added/deprecated items" @echo " xml to make Docutils-native XML files" @echo " pseudoxml to make pseudoxml-XML files for display purposes" @echo " linkcheck to check all external links for integrity" @echo " doctest to run all doctests embedded in the documentation (if enabled)" @echo " coverage to run coverage check of the documentation (if enabled)" @echo " dummy to check syntax errors of document sources" .PHONY: clean clean: rm -rf $(BUILDDIR)/* .PHONY: html html: $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." .PHONY: dirhtml dirhtml: $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." .PHONY: singlehtml singlehtml: $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml @echo @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." .PHONY: pickle pickle: $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle @echo @echo "Build finished; now you can process the pickle files." .PHONY: json json: $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json @echo @echo "Build finished; now you can process the JSON files." .PHONY: htmlhelp htmlhelp: $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp @echo @echo "Build finished; now you can run HTML Help Workshop with the" \ ".hhp project file in $(BUILDDIR)/htmlhelp." .PHONY: qthelp qthelp: $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp @echo @echo "Build finished; now you can run "qcollectiongenerator" with the" \ ".qhcp project file in $(BUILDDIR)/qthelp, like this:" @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/mixer.qhcp" @echo "To view the help file:" @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/mixer.qhc" .PHONY: applehelp applehelp: $(SPHINXBUILD) -b applehelp $(ALLSPHINXOPTS) $(BUILDDIR)/applehelp @echo @echo "Build finished. The help book is in $(BUILDDIR)/applehelp." @echo "N.B. You won't be able to view it unless you put it in" \ "~/Library/Documentation/Help or install it in your application" \ "bundle." .PHONY: devhelp devhelp: $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp @echo @echo "Build finished." @echo "To view the help file:" @echo "# mkdir -p $$HOME/.local/share/devhelp/mixer" @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/mixer" @echo "# devhelp" .PHONY: epub epub: $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub @echo @echo "Build finished. The epub file is in $(BUILDDIR)/epub." .PHONY: epub3 epub3: $(SPHINXBUILD) -b epub3 $(ALLSPHINXOPTS) $(BUILDDIR)/epub3 @echo @echo "Build finished. The epub3 file is in $(BUILDDIR)/epub3." .PHONY: latex latex: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." @echo "Run \`make' in that directory to run these through (pdf)latex" \ "(use \`make latexpdf' here to do that automatically)." .PHONY: latexpdf latexpdf: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through pdflatex..." $(MAKE) -C $(BUILDDIR)/latex all-pdf @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." .PHONY: latexpdfja latexpdfja: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through platex and dvipdfmx..." $(MAKE) -C $(BUILDDIR)/latex all-pdf-ja @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." .PHONY: text text: $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text @echo @echo "Build finished. The text files are in $(BUILDDIR)/text." .PHONY: man man: $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man @echo @echo "Build finished. The manual pages are in $(BUILDDIR)/man." .PHONY: texinfo texinfo: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." @echo "Run \`make' in that directory to run these through makeinfo" \ "(use \`make info' here to do that automatically)." .PHONY: info info: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo "Running Texinfo files through makeinfo..." make -C $(BUILDDIR)/texinfo info @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." .PHONY: gettext gettext: $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale @echo @echo "Build finished. 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QMix-1.0.6/docs/source/README.md000066400000000000000000000002161370151251300161000ustar00rootroot00000000000000Setup Source Files ================== Sybolically link all of the workflow examples into this directory: ln -s ../../notebooks/*.ipynb .QMix-1.0.6/docs/source/conf.py000066400000000000000000000116531370151251300161270ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # QMix documentation build configuration file, created by # sphinx-quickstart on Wed Mar 22 23:10:15 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import os import sys sys.path.insert(0, os.path.abspath('../..')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.napoleon', 'sphinx.ext.doctest', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.mathjax', 'sphinx.ext.githubpages', 'nbsphinx', 'IPython.sphinxext.ipython_console_highlighting'] autosummary_generate = True # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = ['.rst', '.ipynb'] # The master toctree document. master_doc = 'index' # General information about the project. project = u'QMix' copyright = u'2017, John Garrett' author = u'John Garrett' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = u'latest' # The full version, including alpha/beta/rc tags. release = u'latest' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', '**.ipynb_checkpoints', '_templates'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". # html_static_path = ['_static'] html_static_path = [] # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'QMixdoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # 'papersize': 'a4paper', # The font size ('10pt', '11pt' or '12pt'). # 'pointsize': '12pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'QMix.tex', u'QMix Documentation', u'John Garrett', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'qmix', u'QMix Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'QMix', u'QMix Documentation', author, 'QMix', 'One line description of project.', 'Miscellaneous'), ] QMix-1.0.6/docs/source/index.rst000066400000000000000000000017771370151251300164770ustar00rootroot00000000000000QMix: Quantum Mixing Software ============================= QMix is a software package for simulating the quasiparticle tunneling currents in Superconductor/Insulator/Superconductor (SIS) junctions. In radio astronomy, these junctions are used for heterodyne mixing at millimeter and submillimeter wavelengths. QMix can be used to simulate and optimize the performance of SIS mixers, and analyze their experimental results. In order to calculate the quasiparticle tunneling currents, QMix uses *multi-tone spectral domain analysis* (see :ref:`references`). Among other applications, this makes QMix ideal for simulating power saturation, higher-order harmonics, sub-harmonic pumping and frequency multiplication. **Repository:** https://github.com/garrettj403/QMix/ Contents ======== .. toctree:: :maxdepth: 3 :numbered: setup qmix single-tone-simulation multi-tone-simulation analyze-experimental-data references Indices and tables ================== * :ref:`genindex` * :ref:`modindex` QMix-1.0.6/docs/source/modules.rst000066400000000000000000000000611370151251300170210ustar00rootroot00000000000000qmix ==== .. toctree:: :maxdepth: 4 qmix QMix-1.0.6/docs/source/qmix.exp.rst000066400000000000000000000016071370151251300171310ustar00rootroot00000000000000qmix.exp package ================ Submodules ---------- qmix.exp.clean\_data module --------------------------- .. automodule:: qmix.exp.clean_data :members: :undoc-members: :show-inheritance: qmix.exp.exp\_data module ------------------------- .. automodule:: qmix.exp.exp_data :members: :undoc-members: :show-inheritance: qmix.exp.if\_data module ------------------------ .. automodule:: qmix.exp.if_data :members: :undoc-members: :show-inheritance: qmix.exp.iv\_data module ------------------------ .. automodule:: qmix.exp.iv_data :members: :undoc-members: :show-inheritance: qmix.exp.parameters module -------------------------- .. automodule:: qmix.exp.parameters :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: qmix.exp :members: :undoc-members: :show-inheritance: QMix-1.0.6/docs/source/qmix.mathfn.rst000066400000000000000000000014311370151251300176050ustar00rootroot00000000000000qmix.mathfn package =================== Submodules ---------- qmix.mathfn.filters module -------------------------- .. automodule:: qmix.mathfn.filters :members: :undoc-members: :show-inheritance: qmix.mathfn.ivcurve\_models module ---------------------------------- .. automodule:: qmix.mathfn.ivcurve_models :members: :undoc-members: :show-inheritance: qmix.mathfn.kktrans module -------------------------- .. automodule:: qmix.mathfn.kktrans :members: :undoc-members: :show-inheritance: qmix.mathfn.misc module ----------------------- .. automodule:: qmix.mathfn.misc :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: qmix.mathfn :members: :undoc-members: :show-inheritance: QMix-1.0.6/docs/source/qmix.misc.rst000066400000000000000000000007221370151251300172650ustar00rootroot00000000000000qmix.misc package ================= Submodules ---------- qmix.misc.progbar module ------------------------ .. automodule:: qmix.misc.progbar :members: :undoc-members: :show-inheritance: qmix.misc.terminal module ------------------------- .. automodule:: qmix.misc.terminal :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: qmix.misc :members: :undoc-members: :show-inheritance: QMix-1.0.6/docs/source/qmix.rst000066400000000000000000000014231370151251300163320ustar00rootroot00000000000000Package API =========== Subpackages ----------- .. toctree:: qmix.exp qmix.mathfn qmix.misc Submodules ---------- qmix.circuit module ------------------- .. automodule:: qmix.circuit :members: :undoc-members: :show-inheritance: qmix.harmonic\_balance module ----------------------------- .. automodule:: qmix.harmonic_balance :members: :undoc-members: :show-inheritance: qmix.qtcurrent module --------------------- .. automodule:: qmix.qtcurrent :members: :undoc-members: :show-inheritance: qmix.respfn module ------------------ .. automodule:: qmix.respfn :members: :undoc-members: :show-inheritance: Module contents --------------- .. automodule:: qmix :members: :undoc-members: :show-inheritance: QMix-1.0.6/docs/source/references.rst000066400000000000000000000057201370151251300175010ustar00rootroot00000000000000.. _references: References ========== References related to QMix -------------------------- Garrett, J. D., & Yassin, G. (2019). `QMix: A Python package for simulating the quasiparticle tunneling currents in SIS junctions. `_ Journal of Open Source Software, 4(35), 1231. Garrett, J. D., Tan, B.-K., Boussaha, F., Chaumont, C., and Yassin, G. (2019). `Simulating the Behavior of a 230 GHz SIS Mixer Using Multi-Tone Spectral Domain Analysis. `_ IEEE Trans. THz Sci. Technol., 9(9), 540-548. Garrett, J. D. (2018). `A 230 GHz Focal Plane Array Using a Wide IF Bandwidth SIS Receiver. `_ (DPhil). University of Oxford. References related to multi-tone spectral domain analysis (MTSDA) ----------------------------------------------------------------- Kittara, P. (2002). *The Development of a 700 GHz SIS Mixer with Nb Finline Devices: Nonlinear Mixer Theory, Design Techniques and Experimental Investigation.* (DPhil). University of Cambridge. Kittara, P., Withington, S., & Yassin, G. (2007). `Theoretical and numerical analysis of very high harmonic superconducting tunnel junction mixers. `_ Journal of Applied Physics, 101(2), 024508. Withington, S., Isaak, K. G., Kovtonyuk, S. A., Panhuyzen, R. A., & Klapwijk, T. M. (1995). `Direct detection at submillimetre wavelengths using superconducting tunnel junctions. `_ Infrared Physics & Technology, 36(7), 1059–1075. Withington, S., Kittara, P., & Yassin, G. (2003). `Multitone quantum simulations of saturating tunnel junction mixers. `_ Journal of Applied Physics, 93(12), 9812–9822. Other references ---------------- Kennedy, P. R. (1999). *Superconducting Devices for Millimeter Wavelength Astronomy.* (DPhil). University of Cambridge. Rashid, H., Krause, S., Meledin, D., Desmaris, V., Pavolotsky, A., & Belitsky, V. (2016). `Frequency Multiplier Based on Distributed Superconducting Tunnel Junctions: Theory, Design, and Characterization. `_ IEEE Transactions on Terahertz Science and Technology, 1-13. Skalare, A. (1989). `Determining embedding circuit parameters from DC measurements on quasiparticle mixers. `_ Journal of Infrared, Millimeter, and Terahertz Waves, 10(11), 1339–1353. Tucker, J. R., & Feldman, M. J. (1985). `Quantum detection at millimeter wavelengths. `_ Reviews of Modern Physics, 57(4), 1055-1113. Woody, D. P., Miller, R. E., & Wengler, M. J. (1985). `85--115-GHz Receivers for Radio Astronomy. `_ IEEE Transactions on Microwave Theory and Techniques, 33(2), 90–95. QMix-1.0.6/docs/source/setup.rst000066400000000000000000000023551370151251300165210ustar00rootroot00000000000000Getting Started =============== Installing QMix using pip ------------------------- The easiest way to install QMix is using ``pip``: .. code-block:: console python -m pip install QMix Or you can install it via GitHub to get the latest version: .. code-block:: console python -m pip install git+https://github.com/garrettj403/QMix.git Downloading QMix from GitHub ---------------------------- If you want a local copy of the repository, you can download QMix from `GitHub`_: .. _GitHub: https://github.com/garrettj403/QMix/ .. code-block:: console # Download QMix git clone https://github.com/garrettj403/QMix.git QMix cd QMix/ # Create a virtual environment using Anaconda conda env create -f environment.yml conda activate qmix # Install QMix python -m pip install -e . # Test your installation pytest --verbose --color=yes tests/ If you encounter any other issues, (1) make sure that you are using the virtual environment that I provided with the package, and then (2) let me know through the `issue tracking system`__ on GitHub. You can also test the package by running the workflow examples that are contained in the ``QMix/notebooks/`` directory. .. __: https://github.com/garrettj403/QMix/issues/ QMix-1.0.6/environment.yml000066400000000000000000000015341370151251300154640ustar00rootroot00000000000000# Virtual environment for QMix # see: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html # # Create new environment using: # conda env create -f environment.yml # # Remove using: # conda remove --name qmix --all # name: qmix channels: - defaults - conda-forge dependencies: - python>=3.7 - pip # QMix dependencies (same as requirements.txt) - matplotlib - numba - numpy - scipy # for generating documentation - ipython - ipykernel - jupyter - nbconvert - nb_conda - pandoc - sphinx>=1.6 - sphinx_rtd_theme - pip: - nbsphinx - tornado==4.5.3 # for profiling - pip: - py-heat-magic - snakeviz - gprof2dot - memory_profiler - line_profiler - pycallgraph # for testing - pytest>=3.0 - pip: - pytest-cov==2.5.0 - python-coveralls QMix-1.0.6/notebooks/000077500000000000000000000000001370151251300143755ustar00rootroot00000000000000QMix-1.0.6/notebooks/README.md000066400000000000000000000007501370151251300156560ustar00rootroot00000000000000Example Workflows ================= This directory contains 3 example workflows: 1. ``single-tone-simple.ipynb``: a simple one tone simulation of an SIS junction 2. ``multi-tone.ipynb``: a multi-tone simulation (heterodyne mixing) of an SIS junction 3. ``analyze-experimental-data.ipynb``: analyzing experimental data from an SIS mixer This directory contains some example experimental data, which is used to run these examples. This data is contained within ``eg-230-data/``. QMix-1.0.6/notebooks/analyze-experimental-data.ipynb000066400000000000000000012350651370151251300225210ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example #3: Analyzing experimental data\n", "\n", "This notebook will show a brief example of how QMix can be used to analyze experimental data. \n", "\n", "For the purposes of this notebook, example data has been included in a directory called ``example-data/``. This is experimental data that was taken from an SIS device illuminated by a local-oscillator at 230 GHz (see Garrett 2018).\n", "\n", "QMix includes two classes that can be used to analyze this experimental data:\n", "\n", " - [qmix.exp.RawData0](https://garrettj403.github.io/QMix/qmix.exp.html#qmix.exp.exp_data.RawData0), which is used to analyze DC data (no LO illumination), and\n", " - [qmix.exp.RawData](https://garrettj403.github.io/QMix/qmix.exp.html#qmix.exp.exp_data.RawData), which is used to analyze pumped data (with LO illumination).\n", " \n", "Note that a wide range of parameters can be passed to these classes in order to control how the data is imported and analyzed. Please see [qmix.exp.parameters](https://garrettj403.github.io/QMix/qmix.exp.html#module-qmix.exp.parameters) for a full list of optional keyword arguments and their default values." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import qmix\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# https://github.com/garrettj403/SciencePlots\n", "plt.style.use(['science', 'notebook'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyzing DC data\n", "\n", "This is the data collected from the SIS device with **no local-oscillator (LO) illumination.**\n", "\n", "### Properties of the experimental DC data\n", "\n", "The DC experimental data is located in two different files:\n", "\n", " - ``example/dciv.csv``: DC tunneling current vs. bias voltage\n", " - ``example/dcif.csv``: IF power vs. bias voltage\n", " \n", "Both files are CSV files with one column for voltage and one column for current or IF power:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DC Bias Voltage (mV), DC Tunneling Current (mA)\r\n", "0.016102, 0.007249\r\n", "0.017391, 0.007265\r\n", "0.019324, 0.007361\r\n", "0.021257, 0.007378\r\n", "0.023512, 0.007426\r\n", "0.026090, 0.007474\r\n", "0.028345, 0.007587\r\n", "0.030600, 0.007619\r\n", "0.032856, 0.007668\r\n" ] } ], "source": [ "%%bash\n", "head example-data/dciv.csv" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DC Bias Voltage (mV), IF Power (A.U.)\r\n", "0.015780, 0.009150\r\n", "0.017713, 0.009069\r\n", "0.019968, 0.009101\r\n", "0.021579, 0.009069\r\n", "0.023512, 0.009037\r\n", "0.026412, 0.009005\r\n", "0.028667, 0.008956\r\n", "0.030600, 0.009005\r\n", "0.032856, 0.008988\r\n" ] } ], "source": [ "%%bash\n", "head example-data/dcif.csv" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to import these files properly, we will define the properties of the CSV files, which will then be passed on to the ``RawData0`` class." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "csv_params = dict(delimiter = ',', # delimiter used by CSV files\n", " usecols = (0,1), # columns to import\n", " skip_header = 1, # skip the first row (the header)\n", " v_fmt = 'mV', # units for voltage data\n", " i_fmt = 'mA') # units for current data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also define some of the properties of the junction:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "junction_params = dict(area = 1.5, # area of the junction in um^2\n", " vgap_threshold = 105e-6) # calculate the gap voltage at this current" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And some additional properties that will control how the data is filtered:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "filter_params = dict(filter_data = True, # filter I-V data?\n", " filter_nwind = 21) # width of Savitsky-Golay filter" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "params = {**csv_params, **junction_params, **filter_params}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Note:** For a full list of parameters, please see the documentation for [qmix.exp.parameters](https://garrettj403.github.io/QMix/qmix.exp.html#module-qmix.exp.parameters)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Importing the experimental DC data\n", "\n", "We will now use the ``RawData0`` class to load, filter, and analyze the DC data. It will also automatically correct any offsets in the current or voltage data, calculate the properties of the DC I-V curve, and calculate the IF noise based on the shot noise." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[35m\n", "DC I-V data:\u001b[0m \n", "\tVgap: \t\t 2.72\tmV\n", "\tfgap: \t\t658.72\tGHz\n", "\n", "\tRn: \t\t 13.41\tohms\n", "\tRsg: \t\t368.05\tohms\n", "\tQ: \t\t 27.44\n", "\n", "\tJc: \t\t 13.54\tkA/cm^2\n", "\tIleak: \t\t 8.71\tuA\n", "\n", "\tOffset:\t\t 0.10\tmV\n", "\t \t\t 9.67\tuA\n", "\n", "\tVint: \t\t 0.45\tmV\n", "\tIF noise:\t 8.44\tK\n", "\n" ] } ], "source": [ "dciv = qmix.exp.RawData0('example-data/dciv.csv', 'example-data/dcif.csv', **params)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the DC I-V curve\n", "fig, ax = plt.subplots(figsize=(7,5))\n", "dciv.plot_dciv(ax=ax);" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the origin of the DC I-V curve\n", "# to ensure that all offsets were corrected properly\n", "fig, ax = plt.subplots(figsize=(7,5))\n", "dciv.plot_offset(ax=ax);" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the IF power\n", "# The linear region above the gap voltage is due to shot noise,\n", "# which can be used to calculate the IF noise contribution\n", "# see Woody (1985)\n", "fig, ax = plt.subplots(2, figsize=(7,10))\n", "dciv.plot_if_noise(ax=ax);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyzing pumped data at 230 GHz\n", "\n", "We will now use the ``RawData`` class to import I-V and IF data from the device when it is illuminated by an LO at 230 GHz.\n", "\n", "### Properties of the experimental data\n", "\n", "The experimental files are:\n", "\n", "- ``f230.2_iv.csv``: the pumped I-V curve\n", "- ``f230.2_if-hot.csv``: the IF power measured with a hot blackbody load\n", "- ``f230.2_if-cold.csv``: the IF power measured with a cold blackbody load\n", "\n", "Again, these are all CSV files with two columns." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DC Bias Voltage (mV), DC Tunneling Current (mA)\r\n", "0.016102, 0.008779\r\n", "0.017069, 0.008747\r\n", "0.019324, 0.008779\r\n", "0.021901, 0.008827\r\n", "0.023834, 0.008860\r\n", "0.026090, 0.008876\r\n", "0.027701, 0.008876\r\n", "0.030600, 0.008924\r\n", "0.033178, 0.008940\r\n" ] } ], "source": [ "%%bash\n", "head example-data/f230.2_iv.csv" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DC Bias Voltage (mV), IF Power (A.U.)\r\n", "0.015780, 0.010599\r\n", "0.017391, 0.010599\r\n", "0.019646, 0.010535\r\n", "0.020613, 0.010616\r\n", "0.023834, 0.010599\r\n", "0.026090, 0.010583\r\n", "0.028989, 0.010551\r\n", "0.030600, 0.010583\r\n", "0.031889, 0.010616\r\n" ] } ], "source": [ "%%bash\n", "head example-data/f230.2_if-hot.csv" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DC Bias Voltage (mV), IF Power (A.U.)\r\n", "0.015780, 0.010616\r\n", "0.017391, 0.010567\r\n", "0.018680, 0.010551\r\n", "0.021257, 0.010487\r\n", "0.023512, 0.010535\r\n", "0.025445, 0.010583\r\n", "0.028345, 0.010583\r\n", "0.029956, 0.010535\r\n", "0.032533, 0.010567\r\n" ] } ], "source": [ "%%bash\n", "head example-data/f230.2_if-cold.csv" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can either import the CSV files directly with ``RawData`` or you can pass Numpy arrays. For this example, we will pass them as Numpy arrays." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "csv = dict(delimiter=',', usecols=(0,1), skip_header=1)\n", "iv_data = np.genfromtxt('example-data/f230.2_iv.csv', **csv)\n", "hot_data = np.genfromtxt('example-data/f230.2_if-hot.csv', **csv)\n", "cold_data = np.genfromtxt('example-data/f230.2_if-cold.csv', **csv)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Importing the experimental data\n", "\n", "The ``RawData`` class will automatically load, filter and analyze the data. This includes calculating the noise temperature and the properties of the embedding circuit.\n", "\n", "**Note:** that this experimental data is imported in the form of Numpy arrays. Each array has two columns with one for voltage and one for current or IF power (depending on the file)." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[95mImporting: \u001b[0m\n", " -> Files:\n", "\tI-V file: \tNumpy array\n", "\tIF hot file: \tNumpy array\n", "\tIF cold file:\tNumpy array\n", " -> Frequency: 230.2 GHz\n", "\u001b[95m -> Impedance recovery:\u001b[0m\n", "\u001b[92m\t- good fit\u001b[0m\n", "\t- embedding circuit:\n", "\t\t- voltage: \t +0.53\t\t* Vgap\n", "\t\t- impedance: \t +0.47-0.30j\t* Rn\n", "\t\t- avail. power:\t +41.43\t\tnW\n", "\t- junction:\n", "\t\t- drive level:\t +0.93\n", "\t\t- impedance:\t +0.75+0.08j\t* Rn\n", "\t\t- deliv. power:\t +38.52\t\tnW\n", "\u001b[95m -> Analyze IF data:\u001b[0m\n", "\t- noise temp:\t 37.4 K\n", "\t- gain:\t\t -1.14 dB\n", "\t- IF noise:\t +8.44 K\n", "\n" ] } ], "source": [ "pump = qmix.exp.RawData(iv_data, dciv, hot_data, cold_data,\n", " freq = 230.2, # LO frequency in [GHz]\n", " **params)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the I-V curve and the IF powers \n", "fig, ax1 = plt.subplots(figsize=(7,5))\n", "ax2 = ax1.twinx()\n", "pump.plot_ivif(ax=(ax1,ax2));" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the noise temperature and gain\n", "fig, ax1 = plt.subplots(figsize=(7,5))\n", "ax2 = ax1.twinx()\n", "pump.plot_gain_noise_temp(ax=(ax1,ax2));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Impedance recovery\n", "\n", "The ``RawData`` class also recovers the embedding circuit using the technique described by Skalare (1989) and Withington *et al.* (1995)." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the error surface\n", "fig, ax = plt.subplots(figsize=(7,5.5))\n", "ax = pump.plot_error_surface(ax=ax)\n", "ax.set_xlabel(r'Thevenin Resistance ($\\Omega$)')\n", "ax.set_ylabel(r'Thevenin Reactance ($\\Omega$)');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This plot was calculated using the error function from Withington *et al.* (1995). The minimum error represents the best impedance estimation." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot a simulated I-V curve using the recovered impedance\n", "fig, ax = plt.subplots(figsize=(7,5))\n", "pump.plot_simulated(ax=ax);" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:qmix] *", "language": "python", "name": "conda-env-qmix-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 2 } QMix-1.0.6/notebooks/example-data/000077500000000000000000000000001370151251300167375ustar00rootroot00000000000000QMix-1.0.6/notebooks/example-data/README.md000066400000000000000000000011461370151251300202200ustar00rootroot00000000000000Example Experimental Data ========================= This directory contains example experimental data that can be used for running the example workflows. This data was taken from a 230 GHz SIS mixer (Garrett, 2018). Do not use this data for anything else besides testing the workflows. These files include: - ``dciv.csv``: DC I-V data (with no LO pumping) - ``dcif.csv``: DC IF power data (with no LO pumping) - ``f230.2_iv.csv``: pumped I-V curve at 230.2 GHz - ``f230.2_if-hot.csv``: IF output data from hot load at 230.2 GHz - ``f230.2_if-cold.csv``: IF output data from cold load at 230.2 GHz QMix-1.0.6/notebooks/example-data/dcif.csv000066400000000000000000007404071370151251300203750ustar00rootroot00000000000000DC Bias Voltage (mV), IF Power (A.U.) 0.015780, 0.009150 0.017713, 0.009069 0.019968, 0.009101 0.021579, 0.009069 0.023512, 0.009037 0.026412, 0.009005 0.028667, 0.008956 0.030600, 0.009005 0.032856, 0.008988 0.035433, 0.009021 0.037366, 0.008940 0.039299, 0.008940 0.041877, 0.008924 0.044132, 0.008876 0.046065, 0.008924 0.048642, 0.008892 0.050575, 0.008844 0.052831, 0.008795 0.055086, 0.008876 0.057663, 0.008924 0.059919, 0.008988 0.061530, 0.009101 0.063785, 0.009166 0.066040, 0.009359 0.068295, 0.009697 0.070551, 0.009971 0.072806, 0.010342 0.075061, 0.010728 0.077639, 0.011308 0.079894, 0.011791 0.081505, 0.012452 0.084404, 0.013789 0.086015, 0.015674 0.088271, 0.016769 0.090848, 0.016383 0.093103, 0.014449 0.095359, 0.012210 0.097614, 0.010583 0.099869, 0.009262 0.101802, 0.008699 0.104702, 0.010438 0.106957, 0.012468 0.108890, 0.015319 0.110823, 0.016479 0.113079, 0.016463 0.114689, 0.014691 0.117589, 0.013112 0.119844, 0.012033 0.122100, 0.011405 0.123710, 0.011099 0.126288, 0.010632 0.128865, 0.010342 0.130476, 0.009907 0.133698, 0.009488 0.135309, 0.009278 0.137886, 0.009101 0.139820, 0.009085 0.142397, 0.008972 0.144008, 0.008924 0.146263, 0.008892 0.148841, 0.008892 0.150451, 0.008876 0.153029, 0.008940 0.154640, 0.008908 0.157539, 0.008908 0.160439, 0.008956 0.162694, 0.008908 0.164305, 0.008988 0.166561, 0.009037 0.169138, 0.008972 0.170749, 0.009021 0.173004, 0.009037 0.176226, 0.009021 0.178159, 0.009037 0.179770, 0.009085 0.182025, 0.009150 0.184925, 0.009117 0.186536, 0.009117 0.188791, 0.009182 0.191046, 0.009214 0.193302, 0.009230 0.195557, 0.009166 0.197490, 0.009198 0.199745, 0.009230 0.202645, 0.009262 0.204256, 0.009440 0.206511, 0.009536 0.209411, 0.009585 0.211344, 0.009681 0.213599, 0.009810 0.215854, 0.009874 0.217787, 0.009971 0.220043, 0.010036 0.222942, 0.010052 0.225842, 0.010164 0.227131, 0.010132 0.229064, 0.010164 0.230997, 0.010197 0.233574, 0.010277 0.236152, 0.010309 0.237762, 0.010374 0.240018, 0.010438 0.242273, 0.010519 0.244528, 0.010503 0.246784, 0.010664 0.249683, 0.010712 0.251294, 0.010793 0.253549, 0.010841 0.256127, 0.010922 0.257738, 0.010922 0.260315, 0.010970 0.261604, 0.011099 0.264826, 0.011115 0.266759, 0.011195 0.269014, 0.011276 0.271591, 0.011373 0.273525, 0.011405 0.275458, 0.011405 0.278035, 0.011453 0.280290, 0.011469 0.282868, 0.011550 0.285445, 0.011550 0.287701, 0.011598 0.289311, 0.011534 0.291567, 0.011566 0.293500, 0.011598 0.295755, 0.011598 0.298333, 0.011550 0.300266, 0.011534 0.302843, 0.011550 0.305420, 0.011550 0.306709, 0.011534 0.309931, 0.011598 0.311542, 0.011582 0.314119, 0.011534 0.316052, 0.011534 0.317986, 0.011405 0.320241, 0.011534 0.322496, 0.011469 0.325074, 0.011502 0.327651, 0.011485 0.329262, 0.011485 0.331839, 0.011437 0.333772, 0.011421 0.335705, 0.011389 0.338283, 0.011357 0.340538, 0.011340 0.342471, 0.011308 0.344404, 0.011324 0.347304, 0.011292 0.349237, 0.011228 0.351815, 0.011260 0.353425, 0.011228 0.356003, 0.011276 0.358580, 0.011195 0.360513, 0.011260 0.363091, 0.011324 0.365346, 0.011324 0.367601, 0.011260 0.369857, 0.011373 0.371790, 0.011324 0.373723, 0.011357 0.376300, 0.011373 0.378878, 0.011373 0.380811, 0.011292 0.383388, 0.011228 0.385321, 0.011212 0.387577, 0.011195 0.390154, 0.011195 0.391443, 0.011228 0.394342, 0.011163 0.396276, 0.011212 0.398209, 0.011260 0.400464, 0.011195 0.403041, 0.011179 0.405297, 0.011115 0.407552, 0.011228 0.409807, 0.011179 0.411740, 0.011147 0.414640, 0.011228 0.416573, 0.011147 0.418506, 0.011131 0.420761, 0.011131 0.423017, 0.011163 0.425594, 0.011195 0.427849, 0.011212 0.429460, 0.011228 0.432038, 0.011147 0.434615, 0.011179 0.436226, 0.011163 0.438481, 0.011083 0.441703, 0.011163 0.442992, 0.011131 0.445569, 0.011099 0.447502, 0.011099 0.450080, 0.011147 0.451691, 0.011099 0.454590, 0.011099 0.456523, 0.011163 0.459423, 0.011018 0.461356, 0.011099 0.462645, 0.011067 0.465544, 0.011115 0.467800, 0.011147 0.470055, 0.011099 0.472310, 0.011099 0.474243, 0.011099 0.477143, 0.011050 0.478754, 0.011050 0.481653, 0.011099 0.483264, 0.011147 0.485842, 0.011099 0.488097, 0.011131 0.490030, 0.011163 0.492930, 0.011260 0.493896, 0.011212 0.497118, 0.011131 0.499051, 0.011163 0.501629, 0.011131 0.504206, 0.011163 0.505817, 0.011131 0.508072, 0.011195 0.509683, 0.011147 0.511938, 0.011179 0.514838, 0.011115 0.516449, 0.011131 0.519349, 0.011163 0.521604, 0.011179 0.523859, 0.011212 0.525792, 0.011244 0.528048, 0.011115 0.530303, 0.011179 0.532558, 0.011260 0.534813, 0.011099 0.537391, 0.011195 0.539324, 0.011179 0.540935, 0.011179 0.543834, 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0.008199 -0.033836, 0.008199 -0.031903, 0.008247 -0.029970, 0.008280 -0.027392, 0.008296 -0.025137, 0.008312 -0.022237, 0.008344 -0.020949, 0.008360 -0.019338, 0.008392 -0.016760, 0.008409 -0.013216, 0.008457 -0.011605, 0.008441 -0.009995, 0.008441 -0.007739, 0.008473 -0.005162, 0.008473 -0.003229, 0.008537 -0.000651, 0.008537 0.001926, 0.008602 0.003537, 0.008602 0.005470, 0.008650 0.008048, 0.008650 0.010625, 0.008682 0.012236, 0.008731 QMix-1.0.6/notebooks/multi-tone-simulation.ipynb000066400000000000000000005621371370151251300217350ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example #2: Simulating an SIS mixer\n", "\n", "- This example will simulate a simple SIS mixer.\n", "- The input will consists of 3 signals:\n", " - a strong local-osciallator (LO) signal at 230 GHz,\n", " - a weak RF signal at 232 GHz, and\n", " - an IF output at 2 GHz.\n", "- An arbitrary embedding circuit is included (therefore, harmonic balance is required).\n", "- The response function is generated from an experimental DC I-V curve.\n", "- This simulation will calculate:\n", " - the pumped I-V curve, and\n", " - the mixer's gain." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import qmix\n", "import numpy as np\n", "import scipy.constants as sc \n", "import matplotlib.pyplot as plt\n", "\n", "from qmix.mathfn.misc import slope\n", "from qmix.qtcurrent import qtcurrent\n", "from qmix.circuit import EmbeddingCircuit\n", "from qmix.harmonic_balance import harmonic_balance\n", "\n", "# https://github.com/garrettj403/SciencePlots\n", "plt.style.use(['science', 'notebook'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define the junction properties\n", "- These are common parameters that describe the electrical properties of SIS junctions. QMix only uses normalized values, so these values will be used to de-normalize whatever voltages, currents and frequencies that QMix calculates." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "vgap = 2.7e-3 # gap voltage in [V]\n", "rn = 13.5 # normal resistance in [ohms]\n", "igap = vgap / rn # gap current in [A]\n", "fgap = sc.e * vgap / sc.h # gap frequency in [Hz]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define the embedding circuit\n", "- We will load the ``EmbeddingCircuit`` class with all of the information about the embedding circuit. This includes the Thevenin voltage, the Thevenin impedance, and the frequency of each signal that is applied to the junction.\n", "- Note: \n", " - All of the circuit properties are normalized: \n", " - voltages are normalized to the gap voltage (``vgap``), \n", " - resistances to the normal resistance (``rn``), \n", " - currents to the gap current (``igap = vgap / rn``), and \n", " - frequencies to the gap frequency (``fgap``).\n", " - This example includes the embedding circuit. Each tone/harmonic requires:\n", " - the Thevenin voltage (normalized to ``vgap``)\n", " - the Thevenin impedance (normalized to ``rn``)\n", " - the frequency (normalized to ``fgap``).\n", " - The normalized frequency is the same thing as the normalized photon voltage." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Embedding circuit (Tones:3, Harmonics:1)\n", "\u001b[92m f=1, p=1\t\t\t230.0 GHz x 1\t\tLO\u001b[0m\n", "\tThev. voltage:\t\t0.4228 * Vgap\n", "\t \t\t1.2000 * Vph\n", "\tThev. impedance:\t0.30-0.30j * Rn\n", "\tAvail. power: \t4.02E-08 W\n", "\t \t-43.956 dBm\n", "\u001b[92m f=2, p=1\t\t\t232.0 GHz x 1\t\tUSB\u001b[0m\n", "\tThev. voltage:\t\t0.0043 * Vgap\n", "\t \t\t0.0120 * Vph\n", "\tThev. impedance:\t0.30-0.30j * Rn\n", "\tAvail. power: \t4.09E-12 W\n", "\t \t-83.881 dBm\n", "\u001b[92m f=3, p=1\t\t\t2.0 GHz x 1\t\tIF\u001b[0m\n", "\tThev. voltage:\t\t0.0000 * Vgap\n", "\t \t\t0.0000 * Vph\n", "\tThev. impedance:\t1.00+0.00j * Rn\n", "\tAvail. power: \t0.00E+00 W\n", "\t \t-inf dBm\n", "\n" ] } ], "source": [ "# simulation parameters\n", "num_f = 3 # number of tones\n", "num_p = 1 # number of harmonics\n", "num_b = (10, 5, 10) # Bessel function summation limits\n", "\n", "# LO signal\n", "f_lo = 230e9 / fgap # frequency (normalized value)\n", "alpha_lo = 1.2 # junction drive level (normalized value)\n", "impedance_lo = 0.3 - 0.3*1j # embedding impedance (normalized value)\n", "\n", "# RF signal\n", "f_rf = 232e9 / fgap # frequency (normalized value)\n", "alpha_rf = 0.012 # junction drive level (normalized value)\n", "impedance_rf = 0.3 - 0.3*1j # embedding impedance (normalized value)\n", "\n", "# IF signal\n", "f_if = 2e9 / fgap # frequency (normalized value)\n", "impedance_if = 1. # embedding impedance (normalized value)\n", "\n", "# build embedding circuit\n", "cct = EmbeddingCircuit(num_f, num_p, fgap=fgap, vgap=vgap, rn=rn)\n", "cct.comment[1][1] = 'LO'\n", "cct.comment[2][1] = 'USB'\n", "cct.comment[3][1] = 'IF'\n", "\n", "# photon voltages (same as normalized frequency)\n", "cct.freq[1] = f_lo\n", "cct.freq[2] = f_rf\n", "cct.freq[3] = f_if\n", "\n", "# Thevenin voltages\n", "cct.vt[1, 1] = cct.freq[1] * alpha_lo\n", "cct.vt[2, 1] = cct.freq[2] * alpha_rf\n", "cct.vt[3, 1] = 0.\n", "\n", "# Thevenin impedances\n", "cct.zt[1, 1] = impedance_lo\n", "cct.zt[2, 1] = impedance_rf\n", "cct.zt[3, 1] = impedance_if\n", "\n", "cct.print_info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generate the response function\n", "\n", "- Here, the response function is generated from an experimental DC I-V curve." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[35m\n", "DC I-V data:\u001b[0m \n", "\tVgap: \t\t 2.72\tmV\n", "\tfgap: \t\t658.72\tGHz\n", "\n", "\tRn: \t\t 13.41\tohms\n", "\tRsg: \t\t368.05\tohms\n", "\tQ: \t\t 27.44\n", "\n", "\tJc: \t\t 13.54\tkA/cm^2\n", "\tIleak: \t\t 8.71\tuA\n", "\n", "\tOffset:\t\t 0.10\tmV\n", "\t \t\t 9.67\tuA\n", "\n", "\tVint: \t\t 0.45\tmV\n", "\n" ] } ], "source": [ "# Load DC I-V data\n", "dciv = qmix.exp.RawData0('example-data/dciv.csv')\n", "\n", "# Grab response function\n", "resp = dciv.resp" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot\n", "fig, ax = plt.subplots(figsize=(7,5))\n", "resp.plot(ax=ax);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Perform harmonic balance\n", "\n", "- Calculate the voltage drop across the junction for each tone/harmonic using harmonic balance." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running harmonic balance:\n", " - 3 tone(s) and 1 harmonic(s)\n", " - 7 calls to the quasiparticle tunneling current (qtc) function per iteration\n", " - max. iterations: 10\n", "Estimated time:\n", " - time per qtc call: 0.09 s / 0.00 min / 0.00 hrs\n", " - time per iteration: 0.61 s / 0.01 min / 0.00 hrs\n", " - max sim time: 6.07 s / 0.10 min / 0.00 hrs\n", "Error after 0 iteration(s):\n", "\tf:1, p:1, med. rel. error: 0.248, max. rel. error: 1.013, 0.0 % complete\n", "\tf:2, p:1, med. rel. error: 0.213, max. rel. error: 0.768, 0.0 % complete\n", "\tf:3, p:1, med. rel. error: 99999.999, max. rel. error: 99999.999, 0.0 % complete\n", "Calculating inverse Jacobian |--------------------| 100.0% Complete\n", "Applying correction\n", "Error after 1 iteration(s):\n", "\tf:1, p:1, med. rel. error: 0.003, max. rel. error: 0.134, 29.4 % complete\n", "\tf:2, p:1, med. rel. error: 0.011, max. rel. error: 0.235, 14.9 % complete\n", "\tf:3, p:1, med. rel. error: 0.117, max. rel. error: 18.770, 0.0 % complete\n", "Calculating inverse Jacobian |--------------------| 100.0% Complete\n", "Applying correction\n", "Error after 2 iteration(s):\n", "\tf:1, p:1, med. rel. error: 0.000, max. rel. error: 0.003, 99.5 % complete\n", "\tf:2, p:1, med. rel. error: 0.000, max. rel. error: 0.005, 98.0 % complete\n", "\tf:3, p:1, med. rel. error: 0.000, max. rel. error: 0.304, 88.1 % complete\n", "Calculating inverse Jacobian |--------------------| 100.0% Complete\n", "Applying correction\n", "Error after 3 iteration(s):\n", "\tf:1, p:1, med. rel. error: 0.000, max. rel. error: 0.000, 100.0 % complete\n", "\tf:2, p:1, med. rel. error: 0.000, max. rel. error: 0.000, 100.0 % complete\n", "\tf:3, p:1, med. rel. error: 0.000, max. rel. error: 0.000, 100.0 % complete\n", "Done: Minimum error target was achieved.\n", " - sim time:\t\t 2.08 s / 0.03 min / 0.00 hrs\n", " - 3 iterations required\n", " - time per iteration:\t 0.69 s / 0.01 min / 0.00 hrs\n" ] } ], "source": [ "vj = harmonic_balance(cct, resp, num_b)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculate tunnelling currents\n", "- ``idc`` is the DC tunneling current\n", "- ``ilo`` is the AC tunneling current at the LO frequency\n", "- ``iif`` is the AC tunneling current at the IF frequency" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating tunneling current...\n", " - 3 tone(s)\n", " - 1 harmonic(s)\n", "Done.\n", "Time: 0.2079 s\n", "\n" ] } ], "source": [ "freq_list = [0., f_lo, f_if]\n", "idc, ilo, iif = qtcurrent(vj, cct, resp, freq_list, num_b=num_b)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculate mixer gain" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Available power from upper sideband (USB)\n", "pusb = cct.available_power(f=2)\n", "\n", "# Power delivered to load\n", "rload = cct.zt[3,1].real * rn\n", "pload = 0.5 * np.abs(iif * igap)**2 * rload\n", "\n", "# Gain\n", "gain = pload / pusb" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot Results" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Conversion: normalized -> de-normalized\n", "vmv = vgap / sc.milli \n", "iua = igap / sc.micro" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(14,14))\n", "\n", "# Plot I-V curves\n", "ax1.plot(resp.voltage*vmv, resp.current*iua, label='Unpumped')\n", "ax1.plot(cct.vb*vmv, idc.real*iua, 'r--', label='Pumped')\n", "ax1.set(xlim=(0,4.5), xlabel='Bias Voltage (mV)')\n", "ax1.set(ylim=(0,300), ylabel='DC Current (uA)')\n", "ax1.legend(frameon=False)\n", "\n", "# Plot AC currents at LO frequency\n", "ax2.plot(cct.vb*vmv, np.abs(ilo), 'k', label='Absolute')\n", "ax2.plot(cct.vb*vmv, ilo.real, 'r--', label='Real')\n", "ax2.plot(cct.vb*vmv, ilo.imag, ls='-.', label='Imaginary')\n", "ax2.set(xlim=(0,4.5), xlabel='Bias Voltage (mV)')\n", "ax2.set(ylabel='AC Current (uA)')\n", "ax2.legend(frameon=False, loc=2, title=\"@ LO frequency\")\n", "\n", "# Plot AC currents at IF frequency\n", "ax3.plot(cct.vb*vmv, np.abs(iif), 'k', label='Absolute')\n", "ax3.plot(cct.vb*vmv, iif.real, 'r--', label='Real')\n", "ax3.plot(cct.vb*vmv, iif.imag, ls='-.', label='Imaginary')\n", "ax3.set(xlim=(0,4.5), xlabel='Bias Voltage (mV)')\n", "ax3.set(ylabel='AC Current (uA)')\n", "ax3.legend(frameon=False, loc=1, title=\"@ IF frequency\")\n", "\n", "# Plot gain of SIS junction\n", "ax4.plot(cct.vb*vmv, gain*100)\n", "ax4.set(xlim=(0,4.5), xlabel='Bias Voltage (mV)')\n", "ax4.set(ylabel='Gain (%)')\n", "ax4.set_ylim(bottom=0)\n", "\n", "fig.savefig('multi-tone-results.png', dpi=500, bbox_inches='tight');" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 2 } 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)¦;À@—H$ÙÀÐÓÝÝÛ¶m‹Ç<¶lÙ§NÊØÙãÇ%K–ÄÒ¥K㪫®ÊعCî8Ùf!?Y×ÓÓO?ýt´´´DKKK´¶¶Æ+¯¼’Ò3*++ãCúPÌ;7fÏžEEE)}>ÉéŽ ò0 ½ð qàÀ8räH>|8>ÇŽ‹S§NEWW×ë?Ξ=………ñ–·¼%FŒ¥¥¥1iÒ¤¨¬¬Œªªª˜9sfÔÖÖFeee¶ßÿAw€t³€œ”Ÿíò“,ä 'YÈ@N²€œd!?9ÉB~r’…üä$ ùÈIò“,ä 'YÈ@N²€œd!?9ÉB~r’…üä$ ùÈIò“,ä 'YÈ@N²€œd!?9ÉB~r’…üä¤ÿ±P|RfF§IEND®B`‚QMix-1.0.6/notebooks/single-tone-simulation.ipynb000066400000000000000000003460011370151251300220520ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example #1: Creating a simple 1 tone simulation\n", "\n", " - This notebook contains a very simple SIS simulation:\n", "\n", " - The input consists of only one tone and one harmonic\n", " - The embedding circuit is ignored (i.e., no harmonic balance is required)\n", " - The DC current-voltage relationship is generated through a polynomial model\n", " \n", " - The simulation then calculates:\n", "\n", " - The DC tunneling current (i.e., the pumped I-V curve)\n", " - The AC tunneling current" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import qmix\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# https://github.com/garrettj403/SciencePlots\n", "plt.style.use(['science', 'notebook'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generate the response function\n", "\n", "- Here we will generate the response function using the polynomial model from Kennedy (1999).\n", "- The ``RespFnPolynomial`` class will automatically generate the Kramers-Kronig transform of the DC I-V curve, and then setup the interpolation." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Generating response function:\n", " - Interpolating:\n", "\t- DC I-V curve:\n", "\t\t- npts for DC I-V: 273\n", "\t\t- avg. error: 3.7010E-10\n", "\t\t- max. error: 0.0000 at v=-1.10\n", "\t- KK curve:\n", "\t\t- npts for KK I-V: 330\n", "\t\t- avg. error: 6.1923E-07\n", "\t\t- max. error: 0.0001 at v=1.11\n", "\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "resp = qmix.respfn.RespFnPolynomial(p_order=50)\n", "\n", "# Plot\n", "fig, ax = plt.subplots(figsize=(7,5))\n", "resp.plot(ax=ax);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define embedding circuit\n", "\n", "The ``EmbeddingCircuit`` class contains all of the information about the embedding circuit. This includes the Thevenin voltages, the Thevening impedances, and the frequencies of the applied signals. In this notebook, the Thevenin impedance is ignored. This means that the AC voltage across the junction is equal to the Thevenin voltage of the embedding circuit (no harmonic balance required)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " - Note:\n", "\n", " - All of the circuit properties are normalized: \n", " \n", " - voltages are normalized to the gap voltage (``vgap``), \n", " - resistances to the normal resistance (``rn``), \n", " - currents to the gap current (``igap = vgap / rn``), and \n", " - frequencies to the gap frequency (``fgap``)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running harmonic balance:\n", "Done.\n", "\n" ] } ], "source": [ "# Create an instance of the embedding circuit class\n", "cct = qmix.circuit.EmbeddingCircuit()\n", "\n", "# Set the normalized photon voltage\n", "# (equivalent to the normalized frequency)\n", "cct.freq[1] = 0.33\n", "\n", "# Set the Thevenin voltage\n", "cct.vt[1, 1] = 0.33\n", "\n", "# Calculate AC voltage across junction\n", "vj = qmix.harmonic_balance.harmonic_balance(cct, resp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculate desired tunnelling currents\n", "\n", "``qmix.qtcurrent.qtcurrent`` will calculate the quasiparticle tunnelling current based on the voltage across the junction ``vj``, the simulation parameters contained within ``cct``, and the response function ``resp``.\n", "\n", " - Note: \n", "\n", " - The frequency that it solves for is the last argument passed to the function below. For example, \n", " \n", " - ``0`` corresponds to the DC quasiparticle tunnelling current\n", " - ``cct.freq[1]`` corresponds to the AC quasiparticle tunnelling current of the first tone and first harmonic" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating tunneling current...\n", " - 1 tone(s)\n", " - 1 harmonic(s)\n", "Done.\n", "Time: 0.0041 s\n", "\n", "Calculating tunneling current...\n", " - 1 tone(s)\n", " - 1 harmonic(s)\n", "Done.\n", "Time: 0.0030 s\n", "\n" ] } ], "source": [ "# DC tunneling current\n", "idc = qmix.qtcurrent.qtcurrent(vj, cct, resp, 0)\n", "\n", "# AC tunneling current\n", "iac = qmix.qtcurrent.qtcurrent(vj, cct, resp, cct.freq[1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot the pumped I-V curve" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(7,5))\n", "\n", "# vertical lines for photon steps\n", "for i in range(-10, 10):\n", " ax.axvline(1 - i * cct.freq[1], c='gray', ls='--', lw=0.5)\n", "\n", "# plot I-V data\n", "ax.plot(resp.voltage, resp.current, label='Unpumped')\n", "ax.plot(cct.vb, idc, 'r', label='Pumped')\n", "\n", "# label the steps\n", "for i, lbl in zip(range(3), ['1st', '2nd', '3rd']):\n", " vtmp = 1 - (i + 0.5) * cct.freq[1]\n", " itmp = np.interp(vtmp, cct.vb, idc)\n", " ax.annotate(\"{}\\nstep\".format(lbl), \n", " xy=(vtmp, itmp+0.15), \n", " xytext=(vtmp, itmp+0.15),\n", " va='center', ha='center', \n", " fontsize=16)\n", "# hw/e label\n", "ax.text(1-cct.freq[1]/2, 1.1, r'$\\hbar\\omega/e$', fontsize=16, ha='center', va='bottom')\n", "ax.annotate(\"\", xy=(1-cct.freq[1], 1), xytext=(1, 1), \n", " arrowprops=dict(arrowstyle=\"<->\", color='k'))\n", "\n", "# other labels\n", "ax.set(xlabel='Bias voltage / Vgap', xlim=[0,2])\n", "ax.set(ylabel='DC current / Igap', ylim=[0,2])\n", "ax.legend(frameon=True);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot the AC tunneling currents" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(7,5))\n", "\n", "ax.plot(cct.vb, np.abs(iac), 'k--', label=r'Absolute')\n", "ax.plot(cct.vb, np.real(iac), 'b', label=r\"Real\")\n", "ax.plot(cct.vb, np.imag(iac), 'r', label=r\"Imaginary\")\n", "ax.set(xlabel='Bias voltage / Vgap', xlim=[0,2])\n", "ax.set(ylabel='AC current / Igap', ylim=[-1,1.2])\n", "ax.legend(frameon=False);" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:qmix] *", "language": "python", "name": "conda-env-qmix-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 2 } QMix-1.0.6/paper/000077500000000000000000000000001370151251300135015ustar00rootroot00000000000000QMix-1.0.6/paper/paper.bib000066400000000000000000000030061370151251300152650ustar00rootroot00000000000000@phdthesis{Garrett2018, author = {J. D. Garrett}, school = {University of Oxford}, title = {{A 230 GHz Focal Plane Array Using a Wide IF Bandwidth SIS Receiver}}, type = {DPhil}, year = 2018, } @phdthesis{Kittara2002, author = {P. Kittara}, school = {University of Cambridge}, title = {{The Development of a 700 GHz SIS Mixer with Nb Finline Devices: Nonlinear Mixer Theory, Design Techniques and Experimental Investigation}}, type = {DPhil}, year = 2002, } @article{Kittara2007, author = {P. Kittara and S. Withington and G. Yassin}, doi = {10.1063/1.2424407}, journal = {Journal of Applied Physics}, month = jan, number = 2, pages = {024508}, title = {{Theoretical and numerical analysis of very high harmonic superconducting tunnel junction mixers}}, url = {http://aip.scitation.org/doi/10.1063/1.2424407}, volume = 101, year = 2007, } @article{Werthamer1966, author = {N. R. Werthamer}, doi = {10.1103/PhysRev.147.255}, journal = {Physical Review}, month = jul, number = 1, pages = {255--263}, title = {{Nonlinear Self-Coupling of Josephson Radiation in Superconducting Tunnel Junctions}}, url = {http://link.aps.org/doi/10.1103/PhysRev.147.255}, volume = 147, year = 1966, } @article{Withington2003, author = {S. Withington and P. Kittara and G. Yassin}, doi = {10.1063/1.1576515}, journal = {Journal of Applied Physics}, month = jun, number = 12, pages = {9812--9822}, title = {{Multitone quantum simulations of saturating tunnel junction mixers}}, url = {http://aip.scitation.org/doi/10.1063/1.1576515}, volume = 93, year = 2003, }QMix-1.0.6/paper/paper.md000066400000000000000000000065401370151251300151370ustar00rootroot00000000000000--- title: 'QMix: A Python package for simulating the quasiparticle tunneling currents in SIS junctions' tags: - SIS mixers - radio astronomy - superconducting detectors - terahertz instrumentation - Python authors: - name: John D. Garrett orcid: 0000-0002-5509-5006 affiliation: 1 - name: Ghassan Yassin affiliation: 1 affiliations: - name: University of Oxford index: 1 date: 14 January 2019 bibliography: paper.bib --- # Summary Superconductor/Insulator/Superconductor (SIS) tunnel junctions consist of two superconductors separated by a thin insulation barrier. Provided that the barrier is sufficiently thin, usually on the order of $1~\mathrm{nm}$, free electrons known as quasiparticles can tunnel between the two superconductors. This tunneling process provides SIS junctions with extremely non-linear electrical properties, making them ideal mixing elements in high frequency heterodyne receivers. Modern SIS mixers now operate up to frequencies of ${\sim}1.5~\mathrm{THz}$ and they are used by many different radio observatories, such as the James Clerk Maxwell Telescope (JCMT) and the Atacama Large Millimeter/submillimeter Array (ALMA). To simulate the quasiparticle tunneling current in SIS junctions, a technique called multi-tone spectral domain analysis (MTSDA) was developed by Withington, Kittara and Yassin at the University of Cambridge. A detailed description of this technique is provided by @Kittara2002. To summarize, the phase factors of the applied signals are convolved in the spectral domain and then the net phase factor is used to calculate the time-averaged tunneling current using the Werthamer expression [@Werthamer1966]. Compared to simulations using perturbation techniques, MTSDA is much more flexible and it can be used to simulate a wider variety of SIS junction behavior. Previously, MTSDA was used to analyze power saturation in SIS mixers [@Withington2003] and sub-harmonic pumping [@Kittara2007], but the code that they used was written in what is now an outdated version of C++ and it was never made open-source. Here we present a new software package called ``QMix``, short for Quantum Mixing, that reimplements the MTSDA technique in the Python programming language. Python is an interpreted high-level language, meaning that it is both easy to read and write and also portable to different machines and operating systems. ``QMix`` makes use of many common Python libraries, including ``NumPy`` for linear algebra, ``Matplotlib`` for plotting and ``SciPy`` for scientific functions, such as Hilbert transforms and Bessel functions. The core modules of the ``QMix`` package include ``qmix.circuit`` for building the embedding circuit, ``qmix.respfn`` for generating the response function, ``qmix.harmonic_balance`` for performing the harmonic balance process and ``qmix.qtcurrent`` for calculating the quasiparticle tunneling currents. ``QMix`` has already been used to successfully recreate the experimental results from an SIS mixer operating at $230~\mathrm{GHz}$ [@Garrett2018]. This included simulating the conversion gain, the intermediate frequency response and the broken photon step phenomenon, which was present in some of the experimental data. Based on this success, we believe that ``QMix`` will be a useful tool for designing new SIS devices, investigating experimental results and optimizing SIS mixer operation. # References QMix-1.0.6/profile/000077500000000000000000000000001370151251300140325ustar00rootroot00000000000000QMix-1.0.6/profile/benchmark/000077500000000000000000000000001370151251300157645ustar00rootroot00000000000000QMix-1.0.6/profile/benchmark/README.md000066400000000000000000000006271370151251300172500ustar00rootroot00000000000000Speed Tests =========== This directory has two different scripts that can be used to time how long it takes QMix to: - calculate the quasiparticle tunneling currents (``time-qtcurrent.py``) - perform the harmonic balance procedure (``time-harmonic-balance.py``) The results can then be plotted by: python plot-results.py results-qtcurrent.txt python plot-results.py results-harmonic-balance.txt QMix-1.0.6/profile/benchmark/benchmark-coeff.py000066400000000000000000000120221370151251300213450ustar00rootroot00000000000000"""Benchmark the _convolution_coefficient function.""" import argparse import datetime import pickle import socket import timeit import numpy as np import matplotlib.pyplot as plt import qmix from qmix.qtcurrent import calculate_phase_factor_coeff # Arguments parser = argparse.ArgumentParser() parser.add_argument('-s', '--save', action="store_true", help="save speed run?") parser.add_argument('-t', '--tone', type=int, help="tone to run") parser.add_argument('-o', '--overwrite', action="store_true", help="overwrite stored value") args = parser.parse_args() # Setup ---------------------------------------------------------------------- resp = qmix.respfn.RespFnPolynomial(50, verbose=False) num_b = (15, 5, 5, 5) print("\n\tRUNNING SPEED TEST:\n") # 1 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 1: cct = qmix.circuit.EmbeddingCircuit(1, 2) cct.freq[1] = 0.3 vj = cct.initialize_vj() vj[1, 1, :] = 0.3 vj[1, 2, :] = 0.03 def one_tone(): calculate_phase_factor_coeff(vj, cct.freq, 1, 2, num_b) t_1tone = min(timeit.Timer(one_tone).repeat(1000, 1)) print("1 tone:\t\t{:.2f} ms".format(t_1tone*1000)) ccc1 = calculate_phase_factor_coeff(vj, cct.freq, 1, 2, num_b) if args.overwrite: print(" -> Save ccc1") with open('data/coeff1.data', 'wb') as f: pickle.dump(ccc1, f) else: print(" -> Load ccc1") with open('data/coeff1.data', 'rb') as f: ccc1_test = pickle.load(f) np.testing.assert_allclose(ccc1, ccc1_test, atol=1e-7) # plt.plot(ccc1) # plt.plot(ccc1_test) # plt.show() # 2 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 2: cct = qmix.circuit.EmbeddingCircuit(2, 2) cct.freq[1] = 0.30 cct.freq[2] = 0.33 vj = cct.initialize_vj() vj[1, 1, :] = 0.3 vj[2, 1, :] = 0.1 vj[1, 2, :] = 0.03 vj[2, 2, :] = 0.01 def two_tone(): calculate_phase_factor_coeff(vj, cct.freq, 2, 2, num_b) t_2tone = min(timeit.Timer(two_tone).repeat(600, 1)) print("2 tones:\t{:.2f} ms".format(t_2tone*1000)) ccc2 = calculate_phase_factor_coeff(vj, cct.freq, 2, 2, num_b) if args.overwrite: print(" -> Save ccc2") with open('data/coeff2.data', 'wb') as f: pickle.dump(ccc2, f) else: print(" -> Load ccc2") with open('data/coeff2.data', 'rb') as f: ccc2_test = pickle.load(f) np.testing.assert_allclose(ccc2, ccc2_test, atol=1e-7) # 3 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 3: cct = qmix.circuit.EmbeddingCircuit(3, 2) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 vj = cct.initialize_vj() vj[1, 1, :] = 0.3 vj[2, 1, :] = 0.1 vj[3, 1, :] = 0.1 vj[1, 2, :] = 0.03 vj[2, 2, :] = 0.01 vj[3, 2, :] = 0.01 def three_tone(): calculate_phase_factor_coeff(vj, cct.freq, 3, 2, num_b) t_3tone = min(timeit.Timer(three_tone).repeat(400, 1)) print("3 tones:\t{:.2f} ms".format(t_3tone*1000)) ccc3 = calculate_phase_factor_coeff(vj, cct.freq, 3, 2, num_b) if args.overwrite: print(" -> Save ccc3") with open('data/coeff3.data', 'wb') as f: pickle.dump(ccc3, f) else: print(" -> Load ccc3") with open('data/coeff3.data', 'rb') as f: ccc3_test = pickle.load(f) np.testing.assert_allclose(ccc3, ccc3_test, atol=1e-7) # 4 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 4: cct = qmix.circuit.EmbeddingCircuit(4, 2) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 cct.freq[4] = 0.03 vj = cct.initialize_vj() vj[1, 1, :] = 0.3 vj[2, 1, :] = 0.1 vj[3, 1, :] = 0.1 vj[4, 1, :] = 0.0 vj[1, 2, :] = 0.03 vj[2, 2, :] = 0.01 vj[3, 2, :] = 0.01 vj[4, 2, :] = 0.00 def four_tone(): calculate_phase_factor_coeff(vj, cct.freq, 4, 2, num_b) t_4tone = min(timeit.Timer(four_tone).repeat(200, 1)) print("4 tones:\t{:.2f} ms".format(t_4tone*1000)) ccc4 = calculate_phase_factor_coeff(vj, cct.freq, 4, 2, num_b) if args.overwrite: print(" -> Save ccc4") with open('data/coeff4.data', 'wb') as f: pickle.dump(ccc4, f) else: print(" -> Load ccc4") with open('data/coeff4.data', 'rb') as f: ccc4_test = pickle.load(f) np.testing.assert_allclose(ccc4, ccc4_test, atol=1e-7) print("") # WRITE TO FILE -------------------------------------------------------------- if args.tone is None: if args.save: with open('results/coeff.txt', 'a') as f: now = datetime.datetime.now() machine = socket.gethostname() msg = "{}\t{:.6f}\t{:.6f}\t{:.6f}\t{:.6f}\t{}\n" msg = msg.format(now, t_1tone, t_2tone, t_3tone, t_4tone, machine) f.write(msg) QMix-1.0.6/profile/benchmark/benchmark-harmonic-balance.py000066400000000000000000000067041370151251300234600ustar00rootroot00000000000000"""Benchmark the harmonic_balance function.""" import argparse import datetime import socket import timeit from timeit import default_timer as timer import qmix from qmix.harmonic_balance import harmonic_balance # Arguments parser = argparse.ArgumentParser() parser.add_argument('-s', '--save', action="store_true", help="save speed run?") args = parser.parse_args() # Setup ---------------------------------------------------------------------- resp = qmix.respfn.RespFnPolynomial(50, verbose=False) num_b = (10, 5, 5, 5) print("\n\tRUNNING SPEED TEST: harmonic_balance\n") # 1 tone --------------------------------------------------------------------- cct = qmix.circuit.EmbeddingCircuit(1, 1) cct.freq[1] = 0.3 cct.vt[1,1] = 0.3 cct.zt[1,1] = 0.5 - 1j*0.3 def one_tone(): harmonic_balance(cct, resp, num_b=num_b, verbose=False) time_1tone = min(timeit.Timer(one_tone).repeat(50, 1)) print("1 tone:\t\t{:7.3f} ms".format(time_1tone*1e3)) _, it, _ = harmonic_balance(cct, resp, num_b=num_b, verbose=False, mode='x') print("\t -> {} iterations".format(it)) # 2 tone --------------------------------------------------------------------- cct = qmix.circuit.EmbeddingCircuit(2, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.vt[1,1] = 0.3 cct.vt[2,1] = 0.03 cct.zt[1,1] = 0.5 - 1j*0.3 cct.zt[2,1] = 0.5 - 1j*0.3 def two_tone(): harmonic_balance(cct, resp, num_b=num_b, verbose=False) time_2tone = min(timeit.Timer(two_tone).repeat(20, 1)) print("2 tones:\t{:7.3f} ms".format(time_2tone*1e3)) _, it, _ = harmonic_balance(cct, resp, num_b=num_b, verbose=False, mode='x') print("\t -> {} iterations".format(it)) # 3 tone --------------------------------------------------------------------- cct = qmix.circuit.EmbeddingCircuit(3, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 cct.vt[1,1] = 0.3 cct.vt[2,1] = 0.03 cct.vt[3,1] = 0.03 cct.zt[1,1] = 0.5 - 1j*0.3 cct.zt[2,1] = 0.5 - 1j*0.3 cct.zt[3,1] = 0.5 - 1j*0.3 def three_tone(): harmonic_balance(cct, resp, num_b=num_b, verbose=False) time_3tone = min(timeit.Timer(two_tone).repeat(3, 1)) print("3 tones:\t{:7.3f} s".format(time_3tone)) _, it, _ = harmonic_balance(cct, resp, num_b=num_b, verbose=False, mode='x') print("\t -> {} iterations".format(it)) # 4 tone --------------------------------------------------------------------- cct = qmix.circuit.EmbeddingCircuit(4, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 cct.freq[4] = 0.03 cct.vt[1,1] = 0.3 cct.vt[2,1] = 0.03 cct.vt[3,1] = 0.03 cct.zt[1,1] = 0.5 - 1j*0.3 cct.zt[2,1] = 0.5 - 1j*0.3 cct.zt[3,1] = 0.5 - 1j*0.3 cct.zt[4,1] = 1. # def four_tone(): start = timer() _, it, _ = harmonic_balance(cct, resp, num_b=num_b, verbose=False, mode='x') time_4tone = timer() - start print("4 tones:\t{:7.3f} s".format(time_4tone)) print("\t -> {} iterations".format(it)) print("") # WRITE TO FILE -------------------------------------------------------------- if args.save: with open('results/harmonic-balance.txt', 'a') as f: now = datetime.datetime.now() machine = socket.gethostname() f.write("{}\t{:.6f}\t{:.6f}\t{:.6f}\t{:.6f}\t{}\n".format(now, time_1tone, time_2tone, time_3tone, time_4tone, machine)) QMix-1.0.6/profile/benchmark/benchmark-qtcurrent.py000066400000000000000000000121061370151251300223150ustar00rootroot00000000000000"""Benchmark the qtcurrent function.""" import argparse import datetime import socket import timeit import pickle import numpy import qmix from qmix.qtcurrent import qtcurrent # Arguments parser = argparse.ArgumentParser() parser.add_argument('-s', '--save', action="store_true", help="save speed run?") parser.add_argument('-t', '--tone', type=int, help="tone to run") parser.add_argument('-o', '--overwrite', action="store_true", help="overwrite stored value") args = parser.parse_args() # Setup ---------------------------------------------------------------------- resp = qmix.respfn.RespFnPolynomial(50, verbose=False) num_b = (10, 5, 5, 5) print("\n\tRUNNING SPEED TEST:\n") # 1 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 1: cct = qmix.circuit.EmbeddingCircuit(1, 1) cct.freq[1] = 0.3 vj = cct.initialize_vj() vj[1,1,:] = 0.3 def one_tone(): current = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) t_1tone = min(timeit.Timer(one_tone).repeat(3000, 1)) print("1 tone:\t\t{:7.2f} ms".format(t_1tone * 1000)) # Compare to previously calculated values current_test = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) if args.overwrite: print(" -> Saving current") with open('data/qtcurrent1.data', 'wb') as f: pickle.dump(current_test, f) else: print(" -> Checking current") with open('data/qtcurrent1.data', 'rb') as f: current_known = pickle.load(f) numpy.testing.assert_almost_equal(current_test, current_known, decimal=15) # 2 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 2: cct = qmix.circuit.EmbeddingCircuit(2, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 vj = cct.initialize_vj() vj[1,1,:] = 0.3 vj[2,1,:] = 0.1 def two_tone(): qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) t_2tone = min(timeit.Timer(two_tone).repeat(200, 1)) print("2 tones:\t{:7.2f} ms".format(t_2tone * 1000)) # Compare to previously calculated values current_test = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) if args.overwrite: print(" -> Saving current") with open('data/qtcurrent2.data', 'wb') as f: pickle.dump(current_test, f) else: print(" -> Checking current") with open('data/qtcurrent2.data', 'rb') as f: current_known = pickle.load(f) numpy.testing.assert_almost_equal(current_test, current_known, decimal=15) # 3 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 3: cct = qmix.circuit.EmbeddingCircuit(3, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 vj = cct.initialize_vj() vj[1,1,:] = 0.3 vj[2,1,:] = 0.1 vj[3,1,:] = 0.1 def three_tone(): qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) t_3tone = min(timeit.Timer(three_tone).repeat(50, 1)) print("3 tones:\t{:7.2f} ms".format(t_3tone * 1000)) # Compare to previously calculated values current_test = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) if args.overwrite: print(" -> Saving current") with open('data/qtcurrent3.data', 'wb') as f: pickle.dump(current_test, f) else: print(" -> Checking current") with open('data/qtcurrent3.data', 'rb') as f: current_known = pickle.load(f) numpy.testing.assert_almost_equal(current_test, current_known, decimal=15) # 4 tone --------------------------------------------------------------------- if args.tone is None or args.tone == 4: cct = qmix.circuit.EmbeddingCircuit(4, 1) cct.freq[1] = 0.30 cct.freq[2] = 0.33 cct.freq[3] = 0.27 cct.freq[4] = 0.03 vj = cct.initialize_vj() vj[1,1,:] = 0.3 vj[2,1,:] = 0.1 vj[3,1,:] = 0.1 vj[4,1,:] = 0.0 def four_tone(): qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) t_4tone = min(timeit.Timer(four_tone).repeat(10, 1)) print("4 tones:\t{:7.2f} ms".format(t_4tone * 1000)) # Compare to previously calculated values current_test = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False) if args.overwrite: print(" -> Saving current") with open('data/qtcurrent4.data', 'wb') as f: pickle.dump(current_test, f) else: print(" -> Checking current") with open('data/qtcurrent4.data', 'rb') as f: current_known = pickle.load(f) numpy.testing.assert_almost_equal(current_test, current_known, decimal=15) print("") # WRITE TO FILE -------------------------------------------------------------- if args.tone is None: if args.save: with open('results/qtcurrent.txt', 'a') as f: now = datetime.datetime.now() machine = socket.gethostname() msg = "{}\t{:.6f}\t{:.6f}\t{:.6f}\t{:.6f}\t{}\n" msg = msg.format(now, t_1tone, t_2tone, t_3tone, t_4tone, machine) f.write(msg) QMix-1.0.6/profile/benchmark/data/000077500000000000000000000000001370151251300166755ustar00rootroot00000000000000QMix-1.0.6/profile/benchmark/data/coeff1.data000066400000000000000000006056031370151251300207050ustar00rootroot00000000000000€cnumpy.core.multiarray _reconstruct qcnumpy ndarray qK…qCbq‡qRq(KKKKɇqcnumpy dtype qXc16qKK‡q Rq 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Usage: python plot-results.py results-speed-test-qtcurrent.txt # or python plot-results.py results-speed-test-harmonic-balance.txt """ import sys import numpy as np import matplotlib.pyplot as plt results = np.genfromtxt(sys.argv[1], usecols=(1,2,3,4), delimiter='\t', skip_header=2).T fig, ax = plt.subplots(4, 1, sharex=True, figsize=(5, 8)) fig.subplots_adjust(hspace=0) for i in range(4): ax[i].plot(results[i]*1000, 'ro--') ax[i].grid() ax[i].text(0.95, 0.95, '{} tone'.format(i+1), ha='right', va='top', transform=ax[i].transAxes) ax[i].set_ylabel('Time (ms)') ax[3].set_xlim([0, len(results[0])]) ax[3].set_xlabel('Trial number') fig.align_ylabels() plt.show() fig, ax = plt.subplots(4, 1, sharex=True, figsize=(5, 8)) fig.subplots_adjust(hspace=0) for i in range(4): ax[i].plot((results[i]/results[i,0]-1)*100, 'ro--') ax[i].grid() ax[i].text(0.95, 0.95, '{} tone'.format(i+1), ha='right', va='top', transform=ax[i].transAxes) ax[i].set_ylabel('Change (%)') ax[3].set_xlim([0, len(results[0])]) ax[3].set_xlabel('Trial number') fig.align_ylabels() plt.show() QMix-1.0.6/profile/benchmark/results/000077500000000000000000000000001370151251300174655ustar00rootroot00000000000000QMix-1.0.6/profile/benchmark/results/coeff.txt000066400000000000000000000011701370151251300213070ustar00rootroot00000000000000Date / Time 1 Tone 2 Tone 3 Tone 4 Tone Computer 2020-06-25 22:02:37.030596 0.002338 0.004635 0.006920 0.008361 SI385814.local 2020-06-25 22:03:13.831762 0.002337 0.004632 0.006921 0.008462 SI385814.local 2020-06-25 22:03:47.426173 0.002338 0.004626 0.006941 0.008345 SI385814.local 2020-06-26 18:09:27.416078 0.001573 0.003108 0.004632 0.005703 SI385814.local 2020-06-26 18:10:14.524006 0.001605 0.003161 0.004739 0.005801 SI385814.local 2020-06-26 18:11:06.033800 0.001584 0.003119 0.004673 0.005719 SI385814.local 2020-07-08 17:24:34.067181 0.001578 0.002397 0.003201 0.003792 SI385814.local QMix-1.0.6/profile/benchmark/results/harmonic-balance.txt000066400000000000000000000041311370151251300234100ustar00rootroot00000000000000Date / Time 1 Tone 2 Tone 3 Tone 4 Tone Computer 2019-04-19 16:23:28.625323 0.019253 0.072955 1.149285 62.852416 johns-macbook 2019-04-19 16:37:06.487337 0.020070 0.074821 1.196697 61.715295 johns-macbook 2019-04-21 01:31:01.078306 0.019150 0.073379 1.173523 61.741347 johns-macbook 2020-02-26 14:53:32.857050 0.012861 0.049604 0.854021 42.994754 SI385814.local 2020-02-26 14:55:58.356388 0.012630 0.047617 0.789445 42.757759 SI385814.local 2020-02-28 15:19:25.293010 0.012855 0.054394 0.815608 42.920599 SI385814.local 2020-02-28 15:24:29.735871 0.009510 0.044837 0.802273 43.009659 SI385814.local 2020-02-28 15:26:25.298685 0.009760 0.045544 0.814018 44.116864 SI385814.local 2020-02-28 15:37:43.250437 0.009597 0.045344 0.807860 42.865216 SI385814.local 2020-02-28 16:08:31.973510 0.009420 0.046096 0.792779 43.040568 SI385814.local 2020-02-28 16:19:58.932080 0.009690 0.044547 0.798022 42.788848 SI385814.local 2020-02-28 16:22:25.525725 0.009222 0.044438 0.796902 42.378603 SI385814.local 2020-02-28 16:23:57.395146 0.009236 0.044566 0.799032 42.458094 SI385814.local 2020-02-28 17:27:40.808092 0.010169 0.055588 0.877105 47.335695 SI385814.local 2020-06-24 16:48:55.643792 0.010265 0.052964 0.856470 43.267517 SI385814.local 2020-06-24 22:35:13.539703 0.010367 0.051752 0.822863 41.478184 SI385814.local 2020-06-24 22:36:13.043099 0.010231 0.051481 0.817326 41.816893 SI385814.local 2020-06-24 22:37:20.095882 0.010286 0.051615 0.799966 41.235783 SI385814.local 2020-06-24 22:38:57.204124 0.010349 0.051595 0.865485 38.169296 SI385814.local 2020-06-24 22:40:02.852963 0.010416 0.051577 0.817695 38.145349 SI385814.local 2020-06-24 22:41:23.684526 0.010413 0.051778 0.811916 38.129449 SI385814.local 2020-06-24 22:48:37.086564 0.010286 0.051953 0.814826 39.613107 SI385814.local 2020-06-24 23:02:01.795534 0.010301 0.053183 0.748557 38.682030 SI385814.local 2020-06-24 23:03:24.314877 0.010896 0.054582 0.756959 40.697086 SI385814.local 2020-06-24 23:05:52.248639 0.010388 0.052701 0.688327 38.920361 SI385814.local 2020-06-26 18:18:05.051621 0.006548 0.036384 0.697109 39.292153 SI385814.local QMix-1.0.6/profile/benchmark/results/qtcurrent.txt000066400000000000000000000044641370151251300222650ustar00rootroot00000000000000Date / Time 1 Tone 2 Tone 3 Tone 4 Tone Computer 2019-04-09 15:27:26.226506 0.001702 0.009414 0.093034 2.283481 asosx144 2019-04-09 15:33:54.370951 0.001701 0.009459 0.094198 2.393513 asosx144 2019-04-09 15:35:04.140683 0.001705 0.009408 0.094194 2.303153 asosx144 2019-04-09 15:35:18.113407 0.001707 0.009411 0.093571 2.276777 asosx144 2019-04-09 15:35:54.131968 0.001701 0.009451 0.091990 2.278344 asosx144 2019-04-09 15:36:08.165381 0.001701 0.009410 0.093800 2.298152 asosx144 2019-04-09 15:36:22.260853 0.001702 0.009432 0.095288 2.305303 asosx144 2019-04-09 15:49:02.923713 0.001706 0.009616 0.096736 2.304165 asosx144 2019-04-10 12:29:20.246710 0.001702 0.009449 0.091756 2.230652 asosx144 2019-04-13 12:59:49.664179 0.001686 0.010055 0.096767 2.482693 johns-macbook 2019-04-13 13:12:19.838317 0.001736 0.007826 0.081380 1.486123 johns-macbook 2019-04-13 14:12:35.463861 0.001697 0.007741 0.079128 1.506012 johns-macbook 2019-04-14 01:43:21.266590 0.001588 0.007321 0.082459 1.453315 asosx144 2019-04-16 10:51:58.169476 0.001681 0.007729 0.078652 1.442523 johns-macbook 2019-04-16 11:36:29.851686 0.001588 0.007144 0.077402 1.385724 asosx144 2020-02-26 14:48:16.984741 0.001132 0.005010 0.057443 1.022393 SI385814.local 2020-02-26 14:48:40.409176 0.001106 0.004980 0.055319 1.024542 SI385814.local 2020-02-26 14:49:13.998455 0.001099 0.004902 0.054130 1.020926 SI385814.local 2020-02-28 10:51:22.520197 0.001139 0.004927 0.053085 1.061131 SI385814.local 2020-02-28 10:52:10.652261 0.001136 0.005262 0.054782 1.060755 SI385814.local 2020-02-28 10:53:03.821140 0.001135 0.004928 0.055007 1.046043 SI385814.local 2020-02-28 10:54:11.784247 0.001085 0.004801 0.053937 1.025580 SI385814.local 2020-02-28 11:08:53.086882 0.001092 0.005253 0.053905 1.032490 SI385814.local 2020-02-28 11:09:49.386978 0.001089 0.004937 0.053489 1.075613 SI385814.local 2020-02-28 11:47:24.666414 0.001093 0.004806 0.058479 1.018908 SI385814.local 2020-02-28 11:48:32.446232 0.001100 0.004880 0.052948 0.983464 SI385814.local 2020-02-28 17:28:28.592897 0.001134 0.005157 0.057556 1.084299 SI385814.local 2020-06-24 16:50:12.277119 0.001130 0.004928 0.052248 0.984064 SI385814.local 2020-06-24 22:55:09.311778 0.001124 0.004920 0.053502 0.934294 SI385814.local 2020-06-26 18:18:31.218578 0.000841 0.004336 0.050435 0.958465 SI385814.local QMix-1.0.6/profile/profile/000077500000000000000000000000001370151251300154725ustar00rootroot00000000000000QMix-1.0.6/profile/profile/README.md000066400000000000000000000003261370151251300167520ustar00rootroot00000000000000This directory contains two notebooks to profile QMix: - ``profile-harmonic-balance.ipynb``: profiles the harmonic balance module - ``profile-qtcurrent.ipynb``: profiles the quasiparticle tunneling current module QMix-1.0.6/profile/profile/profile-harmonic-balance.ipynb000066400000000000000000062726141370151251300234000ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Profile Harmonic Balance Procedure\n", "\n", "This notebook provides a couple different ways to profile the harmonic balance procedure in QMix:\n", "\n", "1. pycallgraph\n", "2. cProfile + gprof2dot\n", "3. snakeviz\n", "\n", "I find that the second option provides the best heat maps." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "%load_ext snakeviz\n", "\n", "import qmix\n", "\n", "from pycallgraph import PyCallGraph\n", "from pycallgraph import Config\n", "from pycallgraph.output import GraphvizOutput\n", "\n", "import cProfile, pstats, io\n", "from pstats import SortKey\n", "\n", "from IPython.display import Image\n", "\n", "config = Config(max_depth=10)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "resp = qmix.respfn.RespFnPolynomial(50, verbose=False)\n", "num_b = (10, 5, 5, 5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 1 tone" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(1, 1)\n", "cct.freq[1] = 0.3\n", "cct.vt[1,1] = 0.3\n", "cct.zt[1,1] = 0.5 - 1j*0.3" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# with PyCallGraph(output=GraphvizOutput(output_file='results/pycall-harmonic-balance-1tone.png')):\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", " \n", "# Image(filename='results/pycall-harmonic-balance-1tone.png') " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "\n", "profiler.dump_stats('results/profiler-harmonic-balance-1tone.prof')" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-harmonic-balance-1tone.prof | dot -Tpng -o results/prof-harmonic-balance-1tone.png" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-harmonic-balance-1tone.png') " ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "# %%snakeviz\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2 tones" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(2, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "cct.vt[1,1] = 0.3\n", "cct.vt[2,1] = 0.03\n", "cct.zt[1,1] = 0.5 - 1j*0.3\n", "cct.zt[2,1] = 0.5 - 1j*0.3" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "# with PyCallGraph(output=GraphvizOutput(output_file='results/pycall-harmonic-balance-2tone.png')):\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", " \n", "# Image(filename='results/pycall-harmonic-balance-2tone.png') " ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "profiler.dump_stats('results/profiler-harmonic-balance-2tone.prof')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-harmonic-balance-2tone.prof | dot -Tpng -o results/prof-harmonic-balance-2tone.png" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-harmonic-balance-2tone.png') " ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "# %%snakeviz\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3 tones" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(3, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "cct.freq[3] = 0.27\n", "cct.vt[1,1] = 0.3\n", "cct.vt[2,1] = 0.03\n", "cct.vt[3,1] = 0.03\n", "cct.zt[1,1] = 0.5 - 1j*0.3\n", "cct.zt[2,1] = 0.5 - 1j*0.3\n", "cct.zt[3,1] = 0.5 - 1j*0.3" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "# with PyCallGraph(output=GraphvizOutput(output_file='results/pycall-harmonic-balance-3tone.png')):\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", " \n", "# Image(filename='results/pycall-harmonic-balance-3tone.png') " ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "profiler.dump_stats('results/profiler-harmonic-balance-3tone.prof')" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-harmonic-balance-3tone.prof | dot -Tpng -o results/prof-harmonic-balance-3tone.png" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-harmonic-balance-3tone.png') " ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "# %%snakeviz\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 4 tones" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(4, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "cct.freq[3] = 0.27\n", "cct.freq[4] = 0.03\n", "cct.vt[1,1] = 0.3\n", "cct.vt[2,1] = 0.03\n", "cct.vt[3,1] = 0.03\n", "cct.zt[1,1] = 0.5 - 1j*0.3\n", "cct.zt[2,1] = 0.5 - 1j*0.3\n", "cct.zt[3,1] = 0.5 - 1j*0.3\n", "cct.zt[4,1] = 1." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# with PyCallGraph(output=GraphvizOutput(output_file='results/pycall-harmonic-balance-4tone.png')):\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", " \n", "# Image(filename='results/pycall-harmonic-balance-4tone.png') " ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "profiler.dump_stats('results/profiler-harmonic-balance-4tone.prof')" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-harmonic-balance-4tone.prof | dot -Tpng -o results/prof-harmonic-balance-4tone.png" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-harmonic-balance-4tone.png') " ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "# %%snakeviz\n", "# qmix.harmonic_balance.harmonic_balance(cct, resp, num_b=num_b, verbose=False)" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:qmix] *", "language": "python", "name": "conda-env-qmix-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 4 } QMix-1.0.6/profile/profile/profile-qtcurrent.ipynb000066400000000000000000031430731370151251300222350ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Profile ``qtcurrent``\n", "\n", "This notebook will profile the ``qtcurrent`` module in QMix. This module calculates the quasiparticle tunneling currents through the SIS junction. In many ways, this is the core module in QMix." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%load_ext memory_profiler\n", "%load_ext line_profiler\n", "%matplotlib inline\n", "\n", "import qmix\n", "from qmix.qtcurrent import qtcurrent, interpolate_respfn, _current_4_tones, _current_coeff_4_tones\n", "\n", "import cProfile, pstats, io\n", "from pstats import SortKey\n", "\n", "from IPython.display import Image" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "resp = qmix.respfn.RespFnPolynomial(50, verbose=False)\n", "num_b = 15" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 1 Tone" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(1, 1)\n", "cct.freq[1] = 0.3\n", "\n", "vj = cct.initialize_vj()\n", "vj[1,1,:] = 0.3\n", "\n", "resp_interp = interpolate_respfn(cct, resp, num_b)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "# Code to profile\n", "# idc = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "iac = qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "\n", "profiler.dump_stats('results/profiler-qtcurrent-1tone.prof')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-qtcurrent-1tone.prof | dot -Tpng -o results/prof-qtcurrent-1tone.png" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-qtcurrent-1tone.png') " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2 Tones" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(2, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "\n", "vj = cct.initialize_vj()\n", "vj[1,1,:] = 0.3\n", "vj[2,1,:] = 0.1\n", "\n", "resp_interp = interpolate_respfn(cct, resp, num_b)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "# Code to profile\n", "# idc = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "iac = qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "\n", "profiler.dump_stats('results/profiler-qtcurrent-2tone.prof')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-qtcurrent-2tone.prof | dot -Tpng -o results/prof-qtcurrent-2tone.png" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-qtcurrent-2tone.png') " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3 Tones" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(3, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "cct.freq[3] = 0.27\n", "\n", "vj = cct.initialize_vj()\n", "vj[1,1,:] = 0.3\n", "vj[2,1,:] = 0.1\n", "vj[3,1,:] = 0.1\n", "\n", "resp_interp = interpolate_respfn(cct, resp, num_b)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "# Code to profile\n", "# idc = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "iac = qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "\n", "profiler.dump_stats('results/profiler-qtcurrent-3tone.prof')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-qtcurrent-3tone.prof | dot -Tpng -o results/prof-qtcurrent-3tone.png" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-qtcurrent-3tone.png') " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 4 Tones" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Setup\n", "cct = qmix.circuit.EmbeddingCircuit(4, 1)\n", "cct.freq[1] = 0.30\n", "cct.freq[2] = 0.33\n", "cct.freq[3] = 0.27\n", "cct.freq[4] = 0.03\n", "\n", "vj = cct.initialize_vj()\n", "vj[1,1,:] = 0.3\n", "vj[2,1,:] = 0.1\n", "vj[3,1,:] = 0.1\n", "vj[4,1,:] = 0.0\n", "\n", "resp_interp = interpolate_respfn(cct, resp, num_b)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "profiler = cProfile.Profile()\n", "profiler.enable()\n", "\n", "# Code to profile\n", "# idc = qtcurrent(vj, cct, resp, 0., num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "iac = qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)\n", "\n", "profiler.disable()\n", "s = io.StringIO()\n", "sortby = SortKey.TIME\n", "ps = pstats.Stats(profiler, stream=s).sort_stats(sortby)\n", "ps.print_stats()\n", "# print(s.getvalue())\n", "\n", "profiler.dump_stats('results/profiler-qtcurrent-4tone.prof')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gprof2dot -f pstats results/profiler-qtcurrent-4tone.prof | dot -Tpng -o results/prof-qtcurrent-4tone.png" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='results/prof-qtcurrent-4tone.png') " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Line-by-line\n", "\n", "**Note:** You have to remove the ``@jit`` on ``_current_coeff_4_tones``" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "%lprun -f _current_coeff_4_tones qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Memory usage" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 2992.12 MiB, increment: 1.81 MiB\n" ] } ], "source": [ "%memit qtcurrent(vj, cct, resp, 0.3, num_b=num_b, verbose=False, resp_matrix=resp_interp)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", 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Embedding circuit (Tones:2, Harmonics:3): Test 1 Once initialized, we can begin defining the properties of the embedding circuit. I normally start with the frequencies: >>> cct1.freq[1] = 0.30 # first tone >>> cct1.freq[2] = 0.32 # second tone Then, we have to set the voltages and impedances for all of the different signals. For example, for the 1st harmonic of the 1st tone: >>> cct1.vt[1,1] = 0.5 # Thevenin voltage >>> cct1.zt[1,1] = 0.3 + 1j * 0.1 # Thevenin impedance This has to be done for each signal (a total of 6 times in this case). In order to use non-normalized values (e.g., set the available power of a signal in units [W]), we need to define the electrical properties of the junction during initialization. For example: >>> cct2 = EmbeddingCircuit(1, 1, vgap=2.8e-3, rn=14.) You can now set the frequencies. E.g.: >>> cct2.set_freq(250, f=1, units='GHz') >>> round(cct2.freq[1], 4) 0.3693 Once an impedance has been set, you can also set the power of the signal using absolute units. Here we will set the available power for the first harmonic of the first tone to 10 nW (10e-9 W). >>> cct2.zt[1,1] = 0.5 >>> cct2.set_available_power(10, 1, 1, 'nW') And we can then display this power in units [dBm]. >>> cct2.available_power(1, 1, 'dBm') -50.0 Args: num_f (int, optional, default is 1): Number of fundamental frequencies (tones) applied to the junction. num_p (int, optional, default is 1): Number of harmonics included for each tone. vb_min (float, optional, default is 0): Minimum bias voltage. vb_max (float, optional, default is 2): Maximum bias voltage. vb_npts (int, optional, default is 201): Number of points in bias voltage sweep. fgap (float, optional): Gap frequency of the junction in units [Hz]. This is equal to ``e*Vgap/h``, where ``e`` is the charge of an electron, ``Vgap`` is the gap voltage, and ``h`` is the Planck constant. ``fgap`` is used to normalize and de-normalize frequency values (that't it!). vgap (float, optional): Gap voltage of the junction in units [V]. This is the voltage where the sharp non-linearity in the DC I-V curve occurs (a.k.a., the transition voltage). rn (float, optional): Normal-state resistance of the junction in units [ohms]. This is the resistance of the junction at a temperature slight above the critical temperature. It is found by calculating the dynamic resistance of the DC I-V curve above the gap voltage. name (str, optional): Name used to describe this specific instance. Attributes: freq (numpy.ndarray): An array for the frequencies normalized to the gap frequency. This is a 1-dimensional array of real numbers. It contains the frequencies of all of the fundamental tones that are applied to the junction. The normalized frequency is equivalent to the normalized photon voltage. The photon voltage is defined as ``hf/e``, where ``h`` is the Planck constant, ``f`` is the frequency of the fundamental tone, and ``e`` is the charge of an electron. Note that this array is 1-based, meaning that the frequency of the 1st tone is found in ``.freq[1]``. (The index represents the tone number.) **This attribute must be set after initialization!** vt (numpy.ndarray): An array for the Thevenin voltage normalized to the gap voltage. This is a 2-dimensional array of complex values. It contains the voltages for all of the Thevenin equivalent circuits (which describe the embedding circuit). In order, the indices are: ``.vt[f,p]`` for tone ``f`` and harmonic ``p``. Note that this array is 1-based, meaning that the voltage for tone number 2 / harmonic number 3 is stored in ``vt[2,3]``. **This attribute must be set after initialization!** zt (numpy.ndarray): An array for the Thevenin impedance array normalized to the normal-state resistance. This is a 2-dimensional array of complex values. It contains the impedances of all of the Thevenin equivalent circuits (which describe the embedding circuit). In order, the indices are: ``.zt[f,p]``, for tone ``f`` and harmonic ``p``. Note that this array is 1-based, meaning that the impedance for tone number 2, and harmonic number 3 is stored in ``zt[2,3]``. **This attribute must be set after initialization!** num_f (int): Number of fundamental frequencies (tones) applied to the junction. num_p (int): Number of harmonics included for each tone. num_n (int): Total number of signals. This is equal to ``num_f*num_p``. fgap (float): Gap frequency of the junction in units [Hz]. This is equal to ``e*Vgap/h``, where ``e`` is the charge of an electron, ``Vgap`` is the gap voltage, and ``h`` is the Planck constant. Note that ``E=fgap*e`` is the energy required to break Cooper pairs, so at frequencies above the ``fgap`` the superconductors will begin to become lossy. Here, ``fgap`` is used to normalize and de-normalize frequency values (that't it). vgap (float): Gap voltage of the junction in units [V]. This is the voltage where the sharp non-linearity in the DC I-V curve occurs (i.e., the transition voltage). This value is used to normalize and de-normalize voltages. igap (float): Gap current of the junction in units [A]. This is equal to ``vgap/rn``. This value is used to normalize and de-normalize currents. rn (float): Normal-state resistance of the junction in units [ohms]. This is the resistance of the junction at a temperature slightly above the critical temperature. It is found by calculating the dynamic resistance of the DC I-V curve above the gap voltage. This value is used to normalize and de-normalize resistances. vb (numpy.ndarray): Array for the DC bias voltage sweep. This value is normalized to the gap voltage. vb_npts (int): Number of points in the bias voltage sweep. name (str): A name to describe this instance of the embedding circuit class. comment (list): A list of comments to describe the different signals. For example, to describe tone 1/harmonic 1 as the local-oscillator signal, you might use ``cct.comment[1][1] = "LO"``. This has to be set after the initialization of the EmbeddingCircuit class. """ def __init__(self, num_f=1, num_p=1, vb_min=0, vb_max=2, vb_npts=201, fgap=None, vgap=None, rn=None, name=''): self.name = name # used to identify the instance # Check input assert num_f in [1, 2, 3, 4], \ "Number of tones (num_f) must be equal to 1, 2, 3, or 4." assert num_p >= 1 and isinstance(num_p, int), \ "Number of harmonics (num_p) must be an integer equal or greater than 1." assert isinstance(vb_npts, int) and vb_npts >= 1, \ "Number of bias points (vb_npts) must be an integer greater or equal to 1." assert vb_max >= vb_min, \ "Maximum voltage (vb_max) must be larger than the minimum voltage (vb_min)." # Number of tones/harmonics self.num_f = int(num_f) self.num_p = int(num_p) self.num_n = self.num_f * self.num_p # Junction properties (optional) self.fgap = None self.vgap = None self.igap = None self.rn = None # Gap voltage if vgap is not None: self.vgap = float(vgap) elif fgap is not None: self.vgap = float(fgap) * sc.h / sc.e # Gap frequency if fgap is not None: self.fgap = float(fgap) elif vgap is not None: self.fgap = float(vgap) * sc.e / sc.h # Normal-state resistance if rn is not None: self.rn = float(rn) if vgap is not None and rn is not None: self.igap = vgap / rn # Initialize embedding circuit self.freq = np.zeros((num_f + 1), dtype=float) self.vt = np.zeros((num_f + 1, num_p + 1), dtype=complex) self.zt = np.zeros((num_f + 1, num_p + 1), dtype=complex) # Set up bias voltage sweep self.vb_npts = vb_npts self.vb = np.linspace(vb_min, vb_max, vb_npts) # Initialize comment list to label tones/harmonics (optional) self.comment = [] for f in range(num_f + 1): self.comment.append(['' for _ in range(num_p + 1)]) def __str__(self): if self.name != '': name = ": " + self.name else: name = "" return "Embedding circuit (Tones:{}, Harmonics:{}){}".format(self.num_f, self.num_p, name) def __repr__(self): # pragma: no cover return self.__str__() def initialize_vj(self): """Initialize junction voltage array. Returns an empty matrix that is the shape that ``vj`` should be (the voltage across the junction). Strictly speaking, ``vj`` shouldn't be saved within this class, but it is okay for this class to initialize ``vj`` since it has all the data about what the matrix sizes should be. This function is useful when you want to set the voltage across the junction directly (skipping the harmonic balance procedure). Returns: ndarray: An empty matrix for the junction voltage """ return np.zeros((self.num_f + 1, self.num_p + 1, self.vb_npts), dtype=complex) def available_power(self, f=1, p=1, units='W'): """Return available power of tone ``f`` and harmonic ``p``. Note: Gap voltage and normal resistance must be set prior to using this method. If they are not, an error will be raised. Args: f (int, optional, default is 1): Tone index number. p (int, optional, default is 1): Harmonic index number. units (str, optional, default is 'W'): Units for power. One of 'W', 'mW', 'uW', 'nW', 'pW', 'fW', 'dBm', or 'dBW'. Returns: float: Available power in specified units """ assert self.vgap is not None, 'Gap voltage not set' assert self.rn is not None, 'Normal resistance not set' v_v = self.vt[f, p] * self.vgap r_ohms = self.zt[f, p].real * self.rn if r_ohms != 0.: power = np.abs(v_v) ** 2 / r_ohms / 8. else: power = 0 if units.lower() == 'w': return power elif units.lower() == 'mw': return power / sc.milli elif units.lower() == 'uw': return power / sc.micro elif units.lower() == 'nw': return power / sc.nano elif units.lower() == 'pw': return power / sc.pico elif units.lower() == 'fw': return power / sc.femto elif units.lower() == 'dbm': return 10 * np.log10(power * 1e3) elif units.lower() == 'dbw': return 10 * np.log10(power) else: raise ValueError('Not a recognized unit for power.') def set_available_power(self, power, f=1, p=1, units='W'): """Set available power of tone ``f`` and harmonic ``p``. This method will set the Thevenin voltage in order to provide the correct power level. Note: The gap voltage, normal resistance and Thevenin impedance must be set prior to using this method. Otherwise, an assertion error will be raised. Args: power (float): power, in given units f (int, optional, default is 1): tone p (int, optional, default is 1): harmonic units (str, optional, default is 'W'): units for power. One of 'W', 'mW', 'uW', 'nW', 'pW', 'fW', 'dBm', or 'dBW'. """ assert self.vgap is not None, 'Gap voltage not set' assert self.rn is not None, 'Normal resistance not set' assert self.zt[f, p] != 0, 'Embedding impedance not set' if units.lower() == 'w': pass elif units.lower() == 'mw': power *= sc.milli elif units.lower() == 'uw': power *= sc.micro elif units.lower() == 'nw': power *= sc.nano elif units.lower() == 'pw': power *= sc.pico elif units.lower() == 'fw': power *= sc.femto elif units.lower() == 'dbm': power = 10 ** (power / 10) * 1e-3 elif units.lower() == 'dbw': power = 10 ** (power / 10) else: raise ValueError('Unit not recognized.') # Thevenin resistance, in units [ohms] r_ohms = self.zt[f, p].real * self.rn # Thevenin voltage, in units [V] volt_v = np.sqrt(8 * power * r_ohms) self.vt[f, p] = volt_v / self.vgap def set_alpha(self, alpha, f=1, p=1, zj=0.66): """Set the drive level of tone ``f`` and harmonic ``p`` (approximate). This method guesses what the Thevenin voltage should be in order to get the desired drive level, but you won't actually know what the drive level is until you run the simulation. Note: Frequency and Thevenin impedance must be set prior to using this method. Otherwise, an assertion error will be raised. Args: alpha (float): drive level, alpha = voltage / vph f (int, optional, default is 1): tone p (int, optional, default is 1): harmonic zj (float, optional, default is 0.66): the impedance to assume for the junction (normalized to the normal-state resistance). This value will depend on frequency and pump level. """ assert self.zt[f, p] != 0, 'Embedding impedance must be defined!' assert self.freq[f] != 0, 'Frequency must be defined!' self.vt[f, p] = alpha * self.freq[f] * (self.zt[f, p] / zj + 1) def set_freq(self, value, f=1, units='Hz'): """Set the frequency of tone ``f``. Normally, this can be done by setting the value of the attribute directly. E.g.: >>> cct = EmbeddingCircuit(1, 1, vgap=2.8e-3, rn=14.) >>> cct.freq[1] = 0.5 However, if you would instead like to use non-normalized units, this method can be very handy. E.g.: >>> cct.set_freq(350, f=1, units='GHz') >>> round(cct.freq[1], 2) 0.52 Note: The gap frequency or the gap voltage must be defined in order to use this method. Args: value (float): value to set using given units f (int, optional, default is 1): tone number units (str, optional, default is 'Hz'): units for input value, 'Hz' for frequency in units Hz, 'V' for photon voltage in units V, and 'norm' for either normalized photon voltage or normalized frequency. SI prefixes can also be included: 'MHz', 'GHz', 'THz', and 'mV'. """ if units.lower != 'norm': assert self.fgap is not None, 'Gap frequency must be defined!' if units.lower() == 'hz': self.freq[f] = value / self.fgap elif units.lower() == 'mhz': self.freq[f] = value * sc.mega / self.fgap elif units.lower() == 'ghz': self.freq[f] = value * sc.giga / self.fgap elif units.lower() == 'thz': self.freq[f] = value * sc.tera / self.fgap elif units.lower() == 'v': self.freq[f] = value / self.vgap elif units.lower() == 'mv': self.freq[f] = value * sc.milli / self.vgap elif units.lower() == 'norm': self.freq[f] = value else: raise ValueError('Units not recognized.') def set_name(self, name, f=1, p=1): """ Set a name for a given tone and harmonic combination. This has no effect on the simulation. It's just nice for keeping track of the different signals. Args: name (str): name of tone/harmonic f (int, optional, default is 1): frequency number to set p (int, optional, default is 1): harmonic number to set """ self.comment[f][p] = name def print_info(self): """Print information about the embedding circuit to the terminal.""" print(self) str1 = " f={0}, p={1}\t\t\tfreq = {2:.4f} x {1}\t\t{3}" str2 = " f={0}, p={1}\t\t\t{2:.1f} GHz x {1}\t\t{3}" str3 = "\tThev. voltage:\t\t{:.4f} * Vgap" str6 = "\t \t\t{:.4f} * Vph" str4 = "\tThev. impedance:\t{:.2f} * Rn" str7 = "\tAvail. power: \t{:.2E} W" str8 = "\t \t{:.3f} dBm" if self.fgap is None or self.vgap is None or self.rn is None: for f in range(1, self.num_f + 1): for p in range(1, self.num_p + 1): freq = self.freq[f] vt = self.vt[f, p] zt = self.zt[f, p] cprint(str1.format(f, p, freq, self.comment[f][p]), 'GREEN') print(str3.format(float(vt.real))) print(str4.format(zt)) else: for f in range(1, self.num_f + 1): for p in range(1, self.num_p + 1): fq = self.freq[f] * self.fgap / 1e9 vt = self.vt[f, p] zt = self.zt[f, p] with np.errstate(divide='ignore'): power_w = self.available_power(f, p, units='W') power_dbm = self.available_power(f, p, units='dBm') cprint(str2.format(f, p, fq, self.comment[f][p]), 'GREEN') print(str3.format(float(vt.real))) print(str6.format(float(vt.real / (self.freq[f] * p)))) print(str4.format(zt)) print(str7.format(power_w)) print(str8.format(power_dbm)) print("") def save_info(self, filename='embedding-circuit.txt'): """Save this embedding circuit to a text file. This text file can then be read in by ``read_circuit`` in order to regenerate the embedding circuit. Args: filename (string): Filename for embedding circuit file """ str1 = " f={0}, p={1}\t\t\tfreq = {2:.4f} x {1}\n" str2 = "\tThev. voltage:\t\t{:.4f} V / V_gap\n" str3 = "\tThev. impedance:\t{:.2f} ohms / R_N\n" with open(filename, 'w') as fout: fout.write("Embedding Circuit:\n") fout.write("\tNumber of tones: {0}\n".format(self.num_f)) fout.write("\tNumber of harmonics: {0}\n".format(self.num_p)) for f in range(1, self.num_f + 1): for p in range(1, self.num_p + 1): freq = self.freq[f] vt = self.vt[f, p] zt = self.zt[f, p] fout.write(str1.format(f, p, freq)) fout.write(str2.format(vt)) fout.write(str3.format(zt)) def lock(self): """Make all Numpy arrays contained within this class unwriteable. This can be useful for debugging. An error will be raised if you try to change the values of the Numpy arrays while they are locked. """ self.freq.flags.writeable = False self.vt.flags.writeable = False self.zt.flags.writeable = False self.vb.flags.writeable = False def unlock(self): """Make all Numpy arrays contained within this class writeable. This can be useful for debugging. """ self.freq.flags.writeable = True self.vt.flags.writeable = True self.zt.flags.writeable = True self.vb.flags.writeable = True @property def vph(self): """Get photon voltage. For backwards compatibility. """ return self.cct def read_circuit(filename): """Build an embedding circuit from an embedding circuit file. This function will build an instance of the ``EmbeddingCircuit`` class based on a file previously generated by the ``EmbeddingCircuit.save_info`` method. Args: filename (str): filename of the embedding circuit file Returns: qmix.circuit.EmbeddingCircuit: instance of the embedding circuit class """ with open(filename, 'r') as fin: data = fin.readlines() num_f = int(data[1].split()[-1]) num_p = int(data[2].split()[-1]) cct = EmbeddingCircuit(num_f, num_p) data = data[3:] for i, line in enumerate(data): split_line = line.split() if split_line[0][0] == 'f': f = int(re.search(r'\d+', split_line[0]).group()) p = int(re.search(r'\d+', split_line[1]).group()) freq = float(split_line[4]) vt = complex(data[i + 1].split()[2]) zt = complex(data[i + 2].split()[2]) cct.freq[f] = freq cct.vt[f, p] = vt cct.zt[f, p] = zt return cct QMix-1.0.6/qmix/exp/000077500000000000000000000000001370151251300141445ustar00rootroot00000000000000QMix-1.0.6/qmix/exp/__init__.py000066400000000000000000000003261370151251300162560ustar00rootroot00000000000000""" This sub-package contains functions for importing and analyzing experimental data. """ from qmix.exp.exp_data import (RawData, RawData0, plot_overall_results, plot_if_spectrum) QMix-1.0.6/qmix/exp/clean_data.py000066400000000000000000000077221370151251300166010ustar00rootroot00000000000000""" This module contains functions for cleaning experimental data. This includes removing NaN values, removing repeated values, and sorting. The data can either be in x/y format (i.e., two arrays of equal length) or in matrix form (i.e., a matrix with two columns). """ import numpy as np # Basic functions to clean x/y data ------------------------------------------ def remove_nans_xy(x, y): """Remove NaNs from x/y data. Args: x (ndarray): x array y (ndarray): y array Returns: x/y data with NaNs removed """ mask = np.invert(np.isnan(x)) & \ np.invert(np.isnan(y)) return x[mask], y[mask] def sort_xy(x, y): """Sort x/y data by the x values. Args: x (ndarray): x array y (ndarray): y array Returns: x/y data sorted by x """ idx = x.argsort() return x[idx], y[idx] def remove_doubles_xy(x, y, check=True): """Given x/y data, remove double values of x. This function assumes that the data is already sorted by x! Args: x (ndarray): x array y (ndarray): y array check (bool): check that x is sorted Returns: x/y data with doubles values of x removed """ # Check to see if x is sorted if check: assert (x[1:] - x[:-1]).min() >= 0 # Find doubles mask = np.ones(len(x), dtype=bool) mask[1:] = (x[1:] != x[:-1]) return x[mask], y[mask] def clean_xy(x, y): """Clean x/y data. Remove NaNs, sort by x, remove double values for x. Args: x (ndarray): x data y (ndarray): y data Returns: Cleaned x/y data """ assert len(x) == len(y) x, y = remove_nans_xy(x, y) x, y = sort_xy(x, y) x, y = remove_doubles_xy(x, y) return x, y def xy_to_matrix(x, y): """Take x/y data in separate arrays and combine into a matrix. Args: x (ndarray): x data y (ndarray): y data Returns: Matrix of x/y data """ return np.vstack((x, y)).T # Basic functions to clean x/y data in matrix form --------------------------- # Assuming that the matrix is in 2-column form def remove_nans_matrix(matrix): """Remove all NaN values data from a matrix Args: matrix (ndarray): 2-column matrix Returns: 2-column matrix with NaNs removed """ mask = np.invert(np.isnan(matrix[:, 0])) & \ np.invert(np.isnan(matrix[:, 1])) return matrix[mask] def sort_matrix(matrix, col=0): """Sort a 2D matrix by a specific column. Args: matrix (ndarray): 2-column matrix col (int): column to sort by Returns: 2-column matrix sorted by the given column """ idx = matrix[:, col].argsort() return matrix[idx] def remove_doubles_matrix(matrix, col=0, check=True): """Remove double values from 2-column matrix. Args: matrix: 2-column matrix col: column to remove doubles from (default 0) check (bool): check that x data is sorted Returns: 2-column matrix with double values of given column removed """ if check: # Check to see if x is sorted assert (matrix[1:, 0] - matrix[:-1, 0]).min() >= 0 column = matrix[:, col] mask = np.ones_like(column, dtype=bool) mask[1:] = (column[1:] != column[:-1]) return matrix[mask, :] def clean_matrix(matrix): """Clean 2D matrix data. Remove NaNs, sort by first column, remove double values for first column. Args: matrix (ndarray): 2-column matrix Returns: Cleaned 2-column matrix """ assert matrix.shape[1] == 2, "Matrix should only have 2 columns." matrix = remove_nans_matrix(matrix) matrix = sort_matrix(matrix) matrix = remove_doubles_matrix(matrix) return matrix def matrix_to_xy(matrix): """Convert matrix into x/y data. Args: matrix (ndarray): 2-column matrix Returns: x/y data """ return matrix[:, 0], matrix[:, 1] QMix-1.0.6/qmix/exp/exp_data.py000066400000000000000000002542071370151251300163150ustar00rootroot00000000000000""" This module contains classes for importing, filtering and analyzing raw I-V and IF data obtained from SIS mixer experiments. Two classes (``RawData0`` and ``RawData``) are provided to help manage the data. ``RawData0`` is intended for data that was collected with no LO injection (i.e., unpumped data), and ``RawData`` is intended for data that was collected with LO injection (i.e., pumped data). Note: Experimental data can be passed to these classes either in the form of CSV data files or Numpy arrays. In both bases, the data should have two columns: the first for voltage, and the second for current or IF power, depending on the file type. For CSV files, you can define the delimiter using the keyword argument ``delimiter=','``, the number of rows to skip for the header using ``skip_header=1``, and which columns to import using ``usecols=(0,1)``. Take a look at the data in ``QMix/notebooks/eg-230-data/`` for an example. Also, take a look at ``QMix/notebooks/analyze-experimental-data.ipynb`` for an example of how to use this module. """ import glob import os from copy import deepcopy import matplotlib.pyplot as plt import numpy as np import scipy.constants as sc from scipy import special from scipy.interpolate import UnivariateSpline import qmix from qmix.exp.if_data import dcif_data, if_data from qmix.exp.if_response import if_response from qmix.exp.iv_data import dciv_curve, iv_curve from qmix.exp.parameters import params as PARAMS from qmix.harmonic_balance import harmonic_balance from qmix.mathfn.filters import gauss_conv from qmix.mathfn.misc import slope_span_n from qmix.misc.terminal import cprint from qmix.qtcurrent import qtcurrent from qmix.respfn import RespFnFromIVData # Colors for plotting _pale_blue = '#6ba2f9' _pale_green = '#42b173' _pale_red = '#f96b6b' _red = 'r' _blue = '#1f77b4' _dark_blue = '#1f77b4' # Impedance recovery parameters _good_error = 7e-7 _step = 1e-5 # Parameters for saving figures _plot_params = {'dpi': 500, 'bbox_inches': 'tight'} # Note: All plotting functions are excluded from coverage tests # by using: "# pragma: no cover" # FILE HIERARCHY ------------------------------------------------------------- _file_structure = {'DC IV data': '01_dciv/', 'Pumped IV data': '02_iv_curves/', 'IF data': '03_if_data/', 'Impedance recovery': '04_impedance/', 'IF noise': '05_if_noise/', 'Noise temperature': '06_noise_temp/', 'IF spectrum': '07_spectrum/', 'Overall performance': '08_overall_performance/', 'CSV data': '09_csv_data/'} """Default file hierarchy to use when plotting experimental data.""" # CLASSES FOR RAW DATA ------------------------------------------------------- class RawData0(object): """Class for importing and analyzing experimental DC data (with no LO). Note: Experimental data can be passed to this class either in the form of CSV data files or Numpy arrays. In both cases, the data should have two columns: the first for voltage, and the second for current or IF power, depending on the file type. For CSV files, you can define the delimiter using the keyword argument ``delimiter=','``, the number of rows to skip for the header using ``skip_header=1``, and which columns to import using ``usecols=(0,1)``. Take a look at the data in ``QMix/notebooks/eg-230-data/`` for an example. Also, take a look at ``QMix/notebooks/analyze-experimental-data.ipynb`` for an example of how to use this module. See ``qmix.exp.parameters.params`` for all possible keyword arguments. These parameters control how the data is imported and analyzed. Args: dciv: DC I-V curve. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for current. If you are using CSV files, the properties of the CSV file can be set through additional keyword arguments (see below). dcif: DC IF data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for IF power. If you are using CSV files, the properties of the CSV file can be set through additional keyword arguments (see below). Keyword arguments: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). vmax (float): Maximum voltage to import in units [V]. npts (int): Number of points to have in I-V interpolation. debug (bool): Plot each step of the I-V processing procedure. voffset (float): Voltage offset, in units [V]. ioffset (float): Current offset, in units [A]. voffset_range (float): Voltage range over which to search for offset, in units [V]. voffset_sigma (float): Standard deviation of Gaussian filter when searching for offset. rseries (float): Series resistance in experimental measurement system, in units [ohms]. i_multiplier (float): Multiply the imported current by this value. v_multiplier (float): Multiply the imported voltage by this value. ifdata_vmax (float): Maximum IF voltage to import. ifdata_npts (int): Number of points for interpolation. filter_data (bool): Filter data vgap_guess (float): Guess of gap voltage. Used to temporarily normalize while filtering. Given in units [V]. igap_guess (float): Guess of gap current. Used to temporarily normalize while filtering. Given in units [A]. filter_theta (float): Angle by which to the rotate data while filtering. Given in radians. filter_nwind (int): Window size for Savitsky-Golay filter. filter_npoly (int): Order of Savitsky-Golay filter. ifdata_sigma (float): Standard deviation of Gaussian used for filtering, in units [V] area (float): Area of the junction in um^2. vgap_threshold (float): The current to measure the gap voltage at. rn_vmin (float): Lower voltage range to determine the normal resistance rn_vmax (float): Upper voltage range to determine the normal resistance vrsg (float): The voltage at which to calculate the subgap resistance. vleak (float): The voltage at which to calculate the subgap leakage current. vshot (list): Voltage range over which to fit shot noise slope, in units [V]. Can be a list of lists to define multiple ranges. comment (str): Comment to describe this instance. verbose (bool): Print to terminal. """ def __init__(self, dciv, dcif=None, **kw): # Import keyword arguments tmp = deepcopy(PARAMS) tmp.update(kw) kw = tmp # Unpack keyword arguments comment = kw['comment'] v_smear = kw['v_smear'] vleak = kw['vleak'] area = kw['area'] verbose = kw['verbose'] self.kwargs = kw self.comment = comment self.vleak = vleak if isinstance(dciv, str): # input type: CSV file self.file_path = dciv elif isinstance(dciv, np.ndarray): # input type: Numpy array self.file_path = 'Numpy array' else: raise ValueError('Input data type not recognized.') # Get DC I-V data self.voltage, self.current, self.dc = dciv_curve(dciv, **kw) # Unpack DC I-V metadata self.vgap = self.dc.vgap self.igap = self.dc.igap self.fgap = self.dc.fgap self.rn = self.dc.rn self.rsg = self.dc.rsg self.q = self.rsg / self.rn self.rna = self.rn * area * 1e-12 self.jc = self.vgap / self.rna self.offset = self.dc.offset self.vint = self.dc.vint self.ileak = np.interp(vleak / self.vgap, self.voltage, self.current) * self.igap # Generate response function from DC I-V curve self.resp = RespFnFromIVData(self.voltage, self.current, check_error=False, verbose=False, v_smear=None) # Generate smeared response function from DC I-V curve self.resp_smear = RespFnFromIVData(self.voltage, self.current, check_error=False, verbose=False, v_smear=v_smear) # Import DC IF data (if it exists) if dcif is not None: # Import self.if_data, dcif = dcif_data(dcif, self.dc, **kw) # Unpack DC IF metadata self.dcif = dcif self.if_noise = dcif.if_noise self.corr = dcif.corr self.shot_slope = dcif.shot_slope self.if_fit = dcif.if_fit else: # pragma: no cover self.dcif = None self.if_data = None self.if_noise = None self.corr = None self.shot_slope = None self.if_fit = None if verbose: print(self) def __str__(self): # pragma: no cover message = "\033[35m\nDC I-V data:\033[0m {0}\n".format(self.comment) message += "\tVgap: \t\t{:6.2f}\tmV\n".format(self.vgap * 1e3) message += "\tfgap: \t\t{:6.2f}\tGHz\n".format(self.fgap / 1e9) message += "\n" message += "\tRn: \t\t{:6.2f}\tohms\n".format(self.rn) message += "\tRsg: \t\t{:6.2f}\tohms\n".format(self.rsg) message += "\tQ: \t\t{:6.2f}\n".format(self.q) message += "\n" message += "\tJc: \t\t{:6.2f}\tkA/cm^2\n".format(self.jc / 1e7) message += "\tIleak: \t\t{:6.2f}\tuA\n".format(self.ileak * 1e6) message += "\n" message += "\tOffset:\t\t{:6.2f}\tmV\n".format(self.offset[0] * 1e3) message += "\t \t\t{:6.2f}\tuA\n".format(self.offset[1] * 1e6) message += "\n" message += "\tVint: \t\t{:6.2f}\tmV\n".format(self.vint * 1e3) if self.if_noise is not None: message += "\tIF noise:\t{:6.2f}\tK\n".format(self.if_noise) return message def __repr__(self): # pragma: no cover msg = "DC I-V curve: Vgap = {:.2f} mV, Rn = {:.2f} ohms" return msg.format(self.vgap / 1e-3, self.rn) def print_info(self): # pragma: no cover """Print information about the DC I-V curve. This method is deprecated. Just use ``print(dciv)`` instead, assuming that ``dciv`` is an instance of this class. """ print(self) def plot_dciv(self, fig_name=None, ax=None, vmax_plot=4., **kw): # pragma: no cover """Plot DC I-V curve. Some additional labels will be added as well, including normal-state resistance, subgap resistance, gap voltage, and gap current. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name (str): figure filename ax: Matplotlib axis vmax_plot (float): max voltage to include in plot (in mV) kw: keyword arguments (not used) """ # Check plotting arguments # assert fig_name is None or ax is None # Unnormalize the data mv = self.vgap * 1e3 # norm -> mV ua = self.vgap / self.rn * 1e6 # norm -> uA v_mv = self.voltage * mv i_ua = self.current * ua v_v = v_mv / 1000 # Other values to plot rn_slope = -self.vint / self.rn * 1e6 + self.voltage * ua i_at_gap = np.interp([1.], self.voltage, self.current) * ua i_leak = np.interp(self.vleak / self.vgap, self.voltage, self.current) # Fit sub-gap resistance mask = (self.vleak - 0.2e-3 < v_v) & (v_v < self.vleak + 0.2e-3) psg = np.polyfit(v_mv[mask], i_ua[mask], 1) # Strings for legend labels lgd_str1 = 'DC I-V' lgd_str2 = r'$R_\mathrm{{n}}$ = %.2f $\Omega$' % self.rn lgd_str3 = r'$V_\mathrm{{gap}}$ = %.2f mV' % (self.vgap * 1e3) lgd_str4 = r'$I_\mathrm{{leak}}$ = %.2f $\mu$A' % (i_leak * ua) lgd_str5 = r'$R_\mathrm{{sg}}$ = %.1f $\Omega$' % self.rsg # Plot DC I-V curve if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv, i_ua, label=lgd_str1) # Label gap ax.plot(self.vgap * 1e3, i_at_gap, marker='o', ls='None', color='r', mfc='None', markeredgewidth=1, label=lgd_str3) # Label leakage current ax.plot(2, i_leak * ua, marker='o', ls='None', color='g', mfc='None', markeredgewidth=1, label=lgd_str4) # Fit line to normal resistance slope ax.plot(v_mv, rn_slope, 'k--', label=lgd_str2) # Fit line to sub-gap resistance ax.plot(v_mv, np.polyval(psg, v_mv), 'k:', label=lgd_str5) # Set max voltage idx = np.abs(vmax_plot - v_mv).argmin() ax.set_xlim([0, v_mv[idx]]) ax.set_ylim([0, i_ua[idx]]) # Set figure properties ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'Current ($\mu$A)') ax.minorticks_on() ax.legend(loc=2) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_offset(self, fig_name=None, ax=None, **kw): # pragma: no cover """Plot DC I-V curve at the origin to see if there is an offset. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name (str): figure filename ax: Matplotlib axis kw: keyword arguments (not used) """ # Check arguments # assert fig_name is None or ax is None # Unnormalize the data mv = self.vgap * 1e3 # norm -> mV ua = self.vgap / self.rn * 1e6 # norm -> uA v_mv = self.voltage * mv i_ua = self.current * ua # Only plot around the origin mask = (-0.2 < v_mv) & (v_mv < 0.2) # Plot offset (to make sure it was corrected properly) if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv[mask], i_ua[mask]) ax.set_xlim([-0.2, 0.2]) ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'Current ($\mu$A)') ax.minorticks_on() ax.grid() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_rdyn(self, fig_name=None, ax=None, vmax_plot=4., **kw): # pragma: no cover """Plot dynamic resistance of the DC I-V curve. The dynamic resistance is the derivative of the I-V data, inverted to get resistance. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) kw (dict): keyword arguments (not used) """ # Check arguments # assert not fig_name is not None and ax is not None # De-normalize v_mv = self.voltage * self.vgap * 1e3 i_ma = self.current * self.igap * 1e3 # Calculate dynamic resistance rdyn = slope_span_n(v_mv, i_ma, 11) # Plot dynamic resistance if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.semilogy(v_mv, 1 / rdyn) ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'Dynamic Resistance ($\Omega$)') ax.set_xlim([0, vmax_plot]) ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_rstat(self, fig_name=None, ax=None, vmax_plot=4., **kw): # pragma: no cover """Plot static resistance of DC I-V data. The static resistance is the DC voltage divided by the DC current. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) kw (dict): keyword arguments (not used) """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize v_mv = self.voltage * self.vgap * 1e3 i_ma = self.current * self.igap * 1e3 # Only plot up to a given voltage mask = (0 < v_mv) & (v_mv < vmax_plot) v_mv, i_ma = v_mv[mask], i_ma[mask] # Calculate static resistance r_stat = v_mv / i_ma # Plot static resistance if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv, r_stat) ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'Static Resistance ($\Omega$)') ax.set_xlim([0, vmax_plot]) ax.set_ylim(bottom=0) ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_if_noise(self, fig_name=None, ax=None, **kw): # pragma: no cover """Plot IF noise. The IF noise is calculated from the slope of the shot noise. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis (should be tuple with two axes) kw (dict): keyword arguments (not used) """ # Check arguments # assert fig_name is not None and ax is not None if self.if_data is None: print('No DC IF data loaded.\n') return # Line that fits to normal-state resistance rslope = (self.voltage * self.vgap / self.rn - self.vint / self.rn) * 1e6 # Denormalize data mv = self.vgap * 1e3 # norm -> mV ua = self.igap * 1e6 # norm -> uA v_mv = self.voltage * mv i_ua = self.current * ua # vmax = v_mv.max() # imax = i_ua.max() if ax is None: fig, (ax1, ax2) = plt.subplots(2, sharex=True, figsize=(6, 9)) else: ax1, ax2 = ax fig = ax1.get_figure() plt.subplots_adjust(hspace=0., wspace=0.) # Plot DC I-V curve ax1.plot(v_mv, i_ua, label='DC I-V') ax1.plot(v_mv, rslope, 'k--', label=r'$R_\mathrm{{n}}^{{-1}}$ slope') ax1.axvline(self.vint * 1e3, c='k', ls=':', lw=0.5, label=r'$V_\mathrm{{int}}$') ax1.set_ylabel(r'Current ($\mu$A)') ax1.set_ylim(bottom=0) ax1.set_xlim(left=0) ax1.legend(loc=4, frameon=False) # Plot DC IF data v_mv = self.if_data[:, 0] * mv ax2.plot(v_mv, self.if_data[:, 1], _pale_red, label='IF (unpumped)') ax2.plot(self.shot_slope[:, 0] * self.vgap * 1e3, self.shot_slope[:, 1], 'k--', label='Shot noise slope') ax2.plot(self.vint * 1e3, self.if_noise, marker='o', ls='None', color='r', mfc='None', markeredgewidth=1, label='IF Noise: {0:.2f} K'.format(self.if_noise)) ax2.axvline(self.vint * 1e3, c='k', ls=':', lw=0.5) ax2.set_xlabel('Bias Voltage (mV)') ax2.set_ylabel('IF Power (K)') ax2.set_xlim([0, v_mv.max()]) ax2.set_ylim(bottom=0) ax2.legend(loc=4, frameon=False) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_all(self, fig_folder, sub_folder=None, **kw): # pragma: no cover """Plot all DC data and save it to a specified directory. This method will call the following methods: ``plot_dciv``, ``plot_offset``, ``plot_rdyn`` and ``plot_if_noise``. These figures will be put in ``fig_folder/sub_folder``. Note that if ``sub_folder`` is left as ``None``, this method will use the default file structure (see ``qmix.exp.exp_data._file_structure``). If you would instead like the figures to go into ``fig_folder``, set this argument as an empty string (""). Args: fig_folder (str): directory where the figures go sub_folder (str): sub-directory where the DC I-V figures go kw: keyword arguments that will be passed to the plotting methods """ # Folder for DC data if sub_folder is None: sub_folder = _file_structure['DC IV data'] folder = os.path.join(fig_folder, sub_folder) else: folder = os.path.join(fig_folder, sub_folder) # Make sure folder exists, create it if not if not os.path.exists(folder): os.makedirs(folder) # Names for figures fig1 = os.path.join(folder, 'dciv.png') fig2 = os.path.join(folder, 'dciv-offset.png') fig3 = os.path.join(folder, 'dciv-rdyn.png') fig4 = os.path.join(folder, 'dcif-shot-noise.png') # Generate plots self.plot_dciv(fig1, **kw) self.plot_offset(fig2, **kw) self.plot_rdyn(fig3, **kw) self.plot_if_noise(fig4, **kw) class RawData(object): """Class for importing and analyzing experimental pumped data (LO present). Note: Experimental data can be passed to this class either in the form of CSV data files or Numpy arrays. In both bases, the data should have two columns: the first for voltage, and the second for current or IF power, depending on the file type. For CSV files, you can define the delimiter using the keyword argument ``delimiter=','``, the number of rows to skip for the header using ``skip_header=1``, and which columns to import using ``usecols=(0,1)``. Take a look at the data in ``QMix/notebooks/eg-230-data/`` for an example. Also, take a look at ``QMix/notebooks/analyze-experimental-data.ipynb`` for an example of how to use this module. See ``qmix.exp.parameters.params`` for all possible keyword arguments. These parameters control how the data is imported and analyzed. Args: ivdata: I-V data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for current. If you are using CSV files, the properties of the CSV file can be set through additional keyword arguments (see below). dciv (qmix.exp.iv_data.DCIVData): DC I-V metadata Keyword arguments: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). vmax (float): Maximum voltage to import in units [V]. npts (int): Number of points to have in I-V interpolation. debug (bool): Plot each step of the I-V processing procedure. voffset (float): Voltage offset, in units [V]. ioffset (float): Current offset, in units [A]. voffset_range (float): Voltage range over which to search for offset, in units [V]. voffset_sigma (float): Standard deviation of Gaussian filter when searching for offset. rseries (float): Series resistance in experimental measurement system, in units [ohms]. i_multiplier (float): Multiply the imported current by this value. v_multiplier (float): Multiply the imported voltage by this value. ifdata_vmax (float): Maximum IF voltage to import. ifdata_npts (int): Number of points for interpolation. filter_data (bool): Filter data vgap_guess (float): Guess of gap voltage. Used to temporarily normalize while filtering. Given in units [V]. igap_guess (float): Guess of gap current. Used to temporarily normalize while filtering. Given in units [A]. filter_theta (float): Angle by which to the rotate data while filtering. Given in radians. filter_nwind (int): Window size for Savitsky-Golay filter. filter_npoly (int): Order of Savitsky-Golay filter. ifdata_sigma (float): Standard deviation of Gaussian used for filtering, in units [V] analyze_iv (bool): Analyze I-V data? analyze_if (bool): Analyze IF data? area (float): Area of the junction in um^2. freq (float): Frequency of LO signal. cut_low (float): only fit over first photon step, start at Vgap - vph + vph * cut_low cut_high: only fit over first photon step, finish at Vgap - vph * cut_high remb_range (tuple): range of embedding resistances to check, normalized to the normal-state resistance xemb_range (tuple): range of embedding reactances to check, normalized to the normal-state resistance alpha_max (float): Maximum drive level. num_b (int): Summation limits for Bessel functions. t_cold (float): Temperature of cold blackbody load. t_hot (float): Temperature of hot blackbody load. vmax_plot (float): Maximum bias voltage for plots. comment (str): Comment to describe this instance. verbose (bool): Print to terminal. """ def __init__(self, ivdata, dciv, if_hot=None, if_cold=None, **kw): # Import keyword arguments tmp = deepcopy(PARAMS) tmp.update(kw) kw = tmp self.kwargs = kw # Unpack keyword arguments comment = kw['comment'] freq = kw['freq'] analyze = kw['analyze'] analyze_if = kw['analyze_if'] analyze_iv = kw['analyze_iv'] verbose = kw['verbose'] # Analyze data? (deprecated, set individually) if analyze is not None: # pragma: no cover analyze_iv = analyze analyze_if = analyze # Sort out file paths if isinstance(ivdata, str): # input type: CSV file self.iv_file = ivdata self.directory = os.path.dirname(ivdata) self.iv_filename = os.path.basename(ivdata) if if_hot is not None and if_cold is not None: self.filename_hot = os.path.basename(if_hot) self.filename_cold = os.path.basename(if_cold) else: self.filename_hot = None self.filename_cold = None elif isinstance(ivdata, np.ndarray): # input type: Numpy array self.iv_file = 'Numpy array' self.directory = 'Numpy array' self.iv_filename = 'Numpy array' if if_hot is not None and if_cold is not None: self.filename_hot = 'Numpy array' self.filename_cold = 'Numpy array' else: self.filename_hot = None self.filename_cold = None else: raise ValueError("Input data type not recognized.") # Unpack DC I-V metadata self.dciv = dciv self.vgap = dciv.dc.vgap self.igap = dciv.dc.igap self.fgap = dciv.dc.fgap self.rn = dciv.rn self.offset = dciv.offset self.vint = dciv.vint self.dc = dciv.dc self.voltage_dc = dciv.voltage self.current_dc = dciv.current # Get LO frequency if isinstance(ivdata, np.ndarray) and freq is None: str1 = 'If input data is in the form of Numpy arrays, ' str2 = 'you must define the frequency of the LO signal.' raise ValueError(str1 + str2) self.freq, self.freq_str = _get_freq(freq, ivdata) kw['freq'] = self.freq self.vph = self.freq / self.fgap * 1e9 # photon voltage # Print to terminal if verbose: cprint('Importing: {}'.format(comment), 'HEADER') print(" -> Files:") print("\tI-V file: \t{}".format(self.iv_file)) if self.filename_hot is not None: print("\tIF hot file: \t{}".format(self.filename_hot)) if self.filename_cold is not None: print("\tIF cold file:\t{}".format(self.filename_cold)) print(" -> Frequency: {:.1f} GHz".format(self.freq)) # Import pumped I-V curve self.voltage, self.current = iv_curve(ivdata, self.dc, **kw) # Dynamic resistance of I-V curve self.rdyn = slope_span_n(self.current, self.voltage, 21) # Impedance recovery if analyze_iv: self._recover_zemb() else: # pragma: no cover self.zt = None self.vt = None self.fit_good = None self.zw = None self.alpha = None # Import and analyze IF data from hot/cold loads self.good_if_noise_fit = True if if_hot is not None and if_cold is not None and analyze_if: # Import and analyze IF data results, self.idx_best, dcif = if_data(if_hot, if_cold, self.dc, dcif=dciv.dcif, **kw) # Unpack results self.if_hot = results[:, :2] self.if_cold = np.vstack((results[:, 0], results[:, 2])).T self.tn = results[:, 3] self.gain = results[:, 4] # DC IF values self.if_noise = dcif.if_noise self.corr = dcif.corr self.shot_slope = dcif.shot_slope self.good_if_noise_fit = dcif.if_fit # Best values self.tn_best = self.tn[self.idx_best] self.gain_best = self.gain[self.idx_best] self.g_db = 10 * np.log10(self.gain[self.idx_best]) self.v_best = self.if_hot[self.idx_best, 0] # Dynamic resistance at optimal bias voltage i = np.abs(self.voltage - self.v_best).argmin() p = np.polyfit(self.voltage[i:i + 10], self.current[i:i + 10], 1) self.zj_if = self.rn / p[0] else: # pragma: no cover self.filename_hot = None self.filename_cold = None self.if_hot = None self.if_cold = None self.tn = None self.gain = None self.idx_best = None self.if_noise = None self.good_if_noise_fit = None self.shot_slope = None self.tn_best = None self.g_db = None if verbose: print("") def _recover_zemb(self): """Recover the embedding circuit (i.e., the Thevenin eqiv. circuit). The technique used here is the RF voltage match method described by Skalare (1989) and Withington et al. (1995). Note: All currents and voltages are normalized to the gap voltage and to the normal resistance, respectively. Keyword Args: fit_range (list): Fit interval for impedance recovery, normalized to the width of the first photon step. cut_low (float): only fit over first photon step, start at Vgap - vph + vph * cut_low (DEPRECATED) cut_high: only fit over first photon step, finish at Vgap - vph * cut_high (DEPRECATED) remb_range (tuple): range of embedding resistances to check, normalized to the normal-state resistance xemb_range (tuple): range of embedding reactances to check, normalized to the normal-state resistance Returns: thevenin impedance, voltage, and fit (boolean) """ # Fit interval for impedance recovery fit_range = self.kwargs.get('fit_range', None) if fit_range is not None: fit_low = fit_range[0] fit_high = fit_range[1] else: fit_low = self.kwargs.get('cut_low', None) fit_high = 1 - self.kwargs.get('cut_high', None) if fit_low is None or fit_high is None: fit_low = PARAMS['fit_range'][0] fit_high = PARAMS['fit_range'][1] fit_high = 1 - fit_high # Range of impedance values to test remb_range = self.kwargs.get('remb_range', PARAMS['remb_range']) xemb_range = self.kwargs.get('xemb_range', PARAMS['xemb_range']) # Force certain value zemb = self.kwargs.get('zemb', PARAMS['zemb']) cprint(" -> Impedance recovery:") # Unpack vgap = self.vgap # mV rn = self.rn # ohms vph = self.freq * sc.giga / self.fgap resp = self.dciv.resp # Only consider linear region of first photon step # Ratio removed at either end of step v_low = 1 - vph + vph * fit_low v_high = 1 - vph * fit_high mask = (v_low <= self.voltage) & (self.voltage <= v_high) exp_voltage = self.voltage[mask] exp_current = self.current[mask] idx_middle = np.abs(exp_voltage - (1 - vph / 2.)).argmin() # Calculate alpha for every bias voltage alpha = _find_alpha(self.dciv, exp_voltage, exp_current, vph, **self.kwargs) ac_voltage = alpha * vph # Calculate AC junction impedance ac_current = _find_ac_current(resp, exp_voltage, vph, alpha, **self.kwargs) ac_impedance = ac_voltage / ac_current zw = ac_impedance[idx_middle] # Calculate error at every embedding impedance in given range zt_real = np.linspace(remb_range[0], remb_range[1], 101) zt_imag = np.linspace(xemb_range[0], xemb_range[1], 201) err_surf = np.empty((len(zt_real), len(zt_imag)), dtype=float) for i in range(len(zt_real)): for j in range(len(zt_imag)): err_surf[i, j] = _error_function(ac_voltage, ac_impedance, zt_real[i] + 1j * zt_imag[j]) ibest, jbest = np.unravel_index(err_surf.argmin(), err_surf.shape) zt_real_best, zt_imag_best = zt_real[ibest], zt_imag[jbest] if zemb is None: zt_best = zt_real_best + 1j * zt_imag_best else: zt_best = zemb vt_best = _find_source_voltage(ac_voltage, ac_impedance, zt_best) err_best = err_surf[ibest, jbest] # Determine whether or not it was a good fit good_fit = err_best <= _good_error # Print to terminal if good_fit: cprint('\t- good fit', 'OKGREEN') else: cprint('\t- bad fit', 'WARNING') print("\t- embedding circuit:") print("\t\t- voltage: \t{:+6.2f}\t\t* Vgap".format(vt_best)) print("\t\t- impedance: \t{:+12.2f}\t* Rn".format(zt_best)) with np.errstate(divide='ignore', invalid='ignore'): power_avail = np.abs(vt_best * vgap)**2 / 8 / np.real(zt_best * rn) print("\t\t- avail. power:\t{:+7.2f}\t\tnW".format(power_avail / 1e-9)) print("\t- junction:") print("\t\t- drive level:\t{:+6.2f}".format(alpha[idx_middle])) print("\t\t- impedance:\t{:+12.2f}\t* Rn".format(zw)) with np.errstate(divide='ignore', invalid='ignore'): power_delivered = np.abs(ac_voltage[idx_middle] * vgap)**2 / 2 / np.real(zw * rn) print("\t\t- deliv. power:\t{:+7.2f}\t\tnW".format(power_delivered / 1e-9)) # Save values as attributes self.zt = zt_best self.vt = vt_best self.fit_good = good_fit self.zw = zw self.alpha = alpha[idx_middle] self.err_surf = err_surf def plot_iv(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot pumped I-V curve. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # DC I-V curve dciv = self.dciv # De-normalize vmv = dciv.vgap * 1e3 # norm -> mV iua = dciv.igap * 1e6 # norm -> uA imax = np.interp(vmax_plot, dciv.voltage * vmv, dciv.current * iua) if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(dciv.voltage * vmv, dciv.current * iua, label="Unpumped") ax.plot(self.voltage * vmv, self.current * iua, 'r', label="Pumped") ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'DC Current (uA)') ax.set_xlim([0, vmax_plot]) ax.set_ylim([0, imax]) msg = 'LO: {:.1f} GHz'.format(self.freq) ax.legend(loc=2, title=msg, frameon=False) ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_if(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot IF power from hot and cold loads. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize voltage v_mv = self.if_hot[:, 0] * self.vgap * 1e3 # Plot IF data if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv, self.if_hot[:, 1], _pale_red, label='Hot') ax.plot(v_mv, self.if_cold[:, 1], _pale_blue, label='Cold') if self.dciv.if_data is not None: v_tmp = self.dciv.if_data[:, 0] * self.vgap * 1e3 ax.plot(v_tmp, self.dciv.if_data[:, 1], 'k--', label='No LO') ax.set_xlabel('Bias Voltage (mV)') ax.set_ylabel('IF Power (K)') ax.set_ylim(bottom=0) ax.set_xlim([0, vmax_plot]) msg = 'LO: {:.1f} GHz'.format(self.freq) ax.legend(loc=1, title=msg, frameon=False) ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_ivif(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot IV and IF data on same plot. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis (should be tuple with two axes) vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize mv = self.vgap * 1e3 ua = self.vgap / self.rn * 1e6 imax = np.interp(vmax_plot, self.voltage_dc * mv, self.current_dc * ua) if ax is None: fig, ax1 = plt.subplots() else: ax1, ax2 = ax fig = ax1.get_figure() # Plot I-V data ax1.plot(self.voltage_dc * mv, self.current_dc * ua, '#8c8c8c', label="Unpumped") ax1.plot(self.voltage * mv, self.current * ua, 'k', label="Pumped") ax1.set_xlabel('Bias Voltage (mV)') ax1.set_ylabel(r'DC Current ($\mu$A)') ax1.set_ylim([0, imax]) ax1.legend(loc=2, frameon=True, framealpha=1.) ax1.grid(False) # Plot IF data mv = self.if_hot[:, 0] * self.vgap * 1e3 ax2 = ax1.twinx() ax2.plot(mv, self.if_hot[:, 1], '#f96b6b', label='Hot') ax2.plot(mv, self.if_cold[:, 1], '#6ba2f9', label='Cold') ax2.set_ylabel('IF Power (K)') ax2.legend(loc=1, framealpha=1., frameon=True) ax2.grid(False) ax2.set_ylim(bottom=0) ax2.set_xlim([0, vmax_plot]) ax1.minorticks_on() ax2.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_shapiro(self, fig_name=None, ax=None): # pragma: no cover """Plot Shapiro steps. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize voltage v_mv = self.if_hot[:, 0] * self.vgap * 1e3 # Calculate Shaprio voltage separation f_hz = float(self.freq) * 1e9 vshapiro = f_hz * sc.h / sc.e / 2 / sc.milli mask = (0. < v_mv) & (v_mv < 3.5 * vshapiro) if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv[mask], self.if_hot[mask, 1], '#f96b6b', label='Hot') ax.plot(v_mv[mask], self.if_cold[mask, 1], '#6ba2f9', label='Cold') ax.axvline(vshapiro, label=r'$\omega_\mathrm{LO}h/2e$', c='k', ls='--') ax.axvline(2 * vshapiro, c='k', ls='--') ax.axvline(3 * vshapiro, c='k', ls='--') ax.set_xlim([0, 3.5 * vshapiro]) ax.set_xlabel('Bias Voltage (mV)') ax.set_ylabel('IF Power (K)') ax.minorticks_on() ax.legend() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_if_noise(self, fig_name=None, ax=None): # pragma: no cover """Plot IF noise. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis (should be tuple with two axes) """ # Check arguments # assert fig_name is not None and ax is not None rslope = (self.voltage_dc * self.vgap / self.rn - self.vint / self.rn) * 1e6 vmax = self.voltage.max() * self.vgap * 1e3 imax = self.current.max() * self.igap * 1e6 if ax is None: fig, (ax1, ax2) = plt.subplots(2, sharex=True, figsize=(6, 9)) else: ax1, ax2 = ax fig = ax1.get_figure() plt.subplots_adjust(hspace=0., wspace=0.) ax1.plot(self.dciv.voltage * self.vgap * 1e3, self.dciv.current * self.igap * 1e6, label='Unpumped') ax1.plot(self.voltage * self.vgap * 1e3, self.current * self.igap * 1e6, 'r', label='Pumped') ax1.plot(self.voltage * self.vgap * 1e3, rslope, 'k--', label=r'$R_\mathrm{{n}}^{{-1}}$ slope') ax1.plot(self.vint * 1e3, 0, 'ro', label=r'$V_\mathrm{{int}}$') ax1.set_ylabel(r'Current ($\mu$A)') ax1.set_ylim([0, imax]) ax1.set_xlim([0, vmax]) ax1.legend() v_mv = self.if_hot[:, 0] * self.vgap * 1e3 ax2.plot(v_mv, self.if_hot[:, 1], _pale_red, label='Hot') ax2.plot(v_mv, self.if_cold[:, 1], _pale_blue, label='Cold') ax2.plot(self.shot_slope[:, 0] * self.vgap * 1e3, self.shot_slope[:, 1], 'k--', label='Shot noise slope') ax2.plot(self.vint * 1e3, self.if_noise, 'ro', label='IF Noise: {:.2f} K'.format(self.if_noise)) ax2.set_xlabel('Bias Voltage (mV)') ax2.set_ylabel('IF Power (K)') ax2.set_xlim([0, v_mv.max()]) ax2.set_ylim([0, np.max(self.shot_slope) * 1.1]) ax2.legend(loc=0) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_noise_temp(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot noise temperature. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis (should be tuple with two axes) vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None v_mv = self.if_hot[:, 0] * self.vgap * 1e3 hot = gauss_conv(self.if_hot[:, 1], 5) cold = gauss_conv(self.if_cold[:, 1], 5) if ax is None: fig, ax1 = plt.subplots() ax2 = ax1.twinx() else: ax1, ax2 = ax fig = ax1.get_figure() # Plot IF power from hot/cold loads l1 = ax1.plot(v_mv, hot, _pale_red, label='Hot IF') l2 = ax1.plot(v_mv, cold, _pale_blue, label='Cold IF') ax1.set_xlabel('Bias Voltage (mV)') ax1.set_ylabel('IF Power (K)') ax1.set_xlim([1, 3.5]) ax1.set_ylim([0, hot.max() * 1.3]) ax1.grid(False) # Plot noise temperature l3 = ax2.plot(v_mv, self.tn, _pale_green, ls='--', label='Noise Temp.') l4 = ax2.plot(v_mv[self.idx_best], self.tn_best, label=r'$T_\mathrm{{n}}={:.1f}$ K'.format(self.tn_best), marker='o', ls='None', color='k', mfc='None', markeredgewidth=1) ax2.set_ylabel('Noise Temperature (K)', color='g') ax2.set_ylim([0, self.tn_best * 5]) ax2.set_xlim([0., vmax_plot]) for tl in ax2.get_yticklabels(): tl.set_color('g') ax2.grid(False) # Build legend lns = l1 + l2 + l3 + l4 labs = [l.get_label() for l in lns] ax2.legend(lns, labs, loc=2, frameon=True, framealpha=1.) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_yfac_noise_temp(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot Y-factor and noise temperature. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # Plot y-factor and noise temperature v_mv = self.if_hot[:, 0] * self.vgap * 1e3 hot = gauss_conv(self.if_hot[:, 1], 5) cold = gauss_conv(self.if_cold[:, 1], 5) yfac = hot / cold if ax is None: fig, ax1 = plt.subplots() ax2 = ax1.twinx() else: ax1, ax2 = ax fig = ax1.get_figure() # Plot y factor ax1.plot(v_mv, yfac, _dark_blue, label='Y-factor') ax1.axhline(293. / 77., c=_dark_blue, ls=':') ax1.set_xlabel('Bias Voltage (mV)') ax1.set_ylabel('Y-factor', color=_dark_blue) for tl in ax1.get_yticklabels(): tl.set_color(_dark_blue) ax1.set_ylim([1., 4.]) # Plot noise temperature ax2.plot(v_mv, self.tn, _red, label='Noise Temp.') ax2.plot(v_mv[self.idx_best], self.tn_best, marker='o', ls='None', color='k', mfc='None', markeredgewidth=1) msg = '{0:.1f} K'.format(self.tn_best) ax2.annotate(msg, xy=(v_mv[self.idx_best], self.tn_best), xytext=(v_mv[self.idx_best] + 0.5, self.tn_best + 50), bbox=dict(boxstyle="round", fc="w", alpha=0.5), arrowprops=dict(color='black', arrowstyle="->", lw=1), ) ax2.set_ylabel('Noise Temperature (K)', color=_red) for tl in ax2.get_yticklabels(): tl.set_color(_red) ax2.set_ylim([0, 300.]) ax2.set_xlim([0., vmax_plot]) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_gain_noise_temp(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot gain and noise temperature. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize voltage v_mv = self.if_hot[:, 0] * self.vgap * 1e3 if ax is None: fig, ax1 = plt.subplots() ax2 = ax1.twinx() else: ax1, ax2 = ax fig = ax1.get_figure() # Plot gain ax1.plot(v_mv, self.gain, label=r'Gain', color=_dark_blue) ax1.plot(v_mv[self.idx_best], self.gain[self.idx_best], marker='o', ls='None', color='k', mfc='None', markeredgewidth=1) msg = r'$G_\mathrm{{c}}={0:.2f}$'.format(self.gain[self.idx_best]) ax1.annotate(msg, xy=(v_mv[self.idx_best], self.gain[self.idx_best]), xytext=(v_mv[self.idx_best] + 0.75, self.gain[self.idx_best] - 0.1), arrowprops=dict(color='black', arrowstyle="->", lw=0.5), va="center", ha="left", fontsize=16, ) ax1.set_xlabel('Bias Voltage (mV)') ax1.set_ylabel('Gain', color=_dark_blue) for tl in ax1.get_yticklabels(): tl.set_color(_dark_blue) ax1.set_ylim(bottom=0) ax1.minorticks_on() # Plot noise temperature ax2.plot(v_mv, self.tn, _red, label='Noise Temp.') ax2.plot(v_mv[self.idx_best], self.tn_best, marker='o', ls='None', color='k', mfc='None', markeredgewidth=1) msg = r'$T_\mathrm{{N}}={0:.1f}$ K'.format(self.tn_best) ax2.annotate(msg, xy=(v_mv[self.idx_best], self.tn_best), xytext=(v_mv[self.idx_best] + 0.75, self.tn_best + 50), arrowprops=dict(color='black', arrowstyle="->", lw=0.5), va="center", ha="left", fontsize=16) ax2.set_ylabel('Noise Temperature (K)', color=_red) for tl in ax2.get_yticklabels(): tl.set_color(_red) ax2.set_ylim([0, self.tn_best * 5]) ax2.set_xlim([0., vmax_plot]) ax2.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax1, ax2 def plot_rdyn(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot dynamic resistance. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # Unnormalize current/voltage v_mv = self.voltage * self.vgap * 1e3 # Determine dynamic resistance (remove 0 values to avoid /0 errors) rdyn = self.rdyn * self.rn # Position of steps steps = np.r_[-1 + self.vph * np.arange(-3, 4, 1), 1 - self.vph * np.arange(3, -4, -1)] v_steps = steps * self.vgap * 1e3 r_steps = np.interp(v_steps, v_mv, rdyn) # Dynamic resistance at 'best' bias point (where TN is best) vb_best = (self.if_hot[:, 0] * self.vgap * 1e3)[self.idx_best] rdyn_bias = np.interp(vb_best, v_mv, rdyn) if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv, rdyn, label=r'$R_\mathrm{dyn}$') ax.plot(vb_best, rdyn_bias, 'r^', label=r'%.1f $\Omega$' % rdyn_bias) ax.plot(v_steps, r_steps, 'k+', label=r'$V_\mathrm{gap} + nV_\mathrm{ph}$') plt.axvline(-1 * self.vgap * 1e3, c='k', ls='--', lw=0.5) plt.axvline(0, c='k', ls='--', lw=0.5) plt.axvline(1 * self.vgap * 1e3, c='k', ls='--', lw=0.5) ax.set_xlabel('Bias Voltage (mV)') ax.set_ylabel(r'Dynamic Resistance ($\Omega$)') ax.set_xlim([0, vmax_plot]) ax.set_ylim(bottom=0) ax.legend(loc=0, title='LO: ' + str(self.freq) + ' GHz') ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_gain(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot gain. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # De-normalize voltage v_mv = self.if_hot[:, 0] * self.vgap * 1e3 if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(v_mv, self.gain*100, label=r'$G_{{c}}$') ax.set_xlabel('Bias Voltage (mV)') ax.set_ylabel('Gain (%)') ax.set_xlim([0, vmax_plot]) ax.set_ylim([0, self.gain.max() * 105]) ax.minorticks_on() if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_error_surface(self, fig_name=None, ax=None): # pragma: no cover """Plot error surface (from impedance recovery). Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis """ # Check arguments # assert fig_name is not None and ax is not None # Range of impedance values (normalized) remb_range = self.kwargs.get('remb_range', PARAMS['remb_range']) xemb_range = self.kwargs.get('xemb_range', PARAMS['xemb_range']) # Range of impedance values (de-normalized) zt_real = np.linspace(remb_range[0], remb_range[1], 101) * self.rn zt_imag = np.linspace(xemb_range[0], xemb_range[1], 201) * self.rn zt_real_range = zt_real[-1] - zt_real[0] zt_imag_range = zt_imag[-1] - zt_imag[0] # Recovered impedance zt_best = self.zt * self.rn zt_re_best, zt_im_best = zt_best.real, zt_best.imag # Mesh (for plotting) xx, yy = np.meshgrid(zt_real, zt_imag) zz = np.log10(self.err_surf) if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() pc = ax.pcolor(xx, yy, zz.T, cmap='viridis') # Add color bar cbar = plt.colorbar(pc, ax=ax) cbar.ax.set_ylabel(r'$\log_{10}(\varepsilon)$', rotation=90) # Left or right half of plot? zt_re_mid = (zt_real[0] + zt_real[-1]) / 2. if zt_re_best > zt_re_mid: text_posx = zt_re_best - zt_real_range / 10. text_ha = "right" else: text_posx = zt_re_best + zt_real_range / 10. text_ha = "left" # Top or bottom half of plot? zt_im_mid = (zt_imag[0] + zt_imag[-1]) / 2. if zt_im_best > zt_im_mid: text_posy = zt_im_best - zt_imag_range / 10. text_va = "top" else: text_posy = zt_im_best + zt_imag_range / 10. text_va = "bottom" # Annotate best value err_str1 = 'Minimum Error at\n' err_str2 = r'$Z_\mathrm{{T}}$={0:.2f} $\Omega$'.format(zt_best) err_str = err_str1 + err_str2 text_pos = text_posx, text_posy bbox_props = dict(boxstyle="round", fc="w", alpha=0.5) ax.annotate(err_str, xy=(zt_re_best, zt_im_best), xytext=text_pos, bbox=bbox_props, va=text_va, ha=text_ha, fontsize=16, arrowprops=dict(color='black', arrowstyle="->", lw=2)) ax.set_xlabel(r'$R_\mathrm{{T}}$ ($\Omega$)') ax.set_ylabel(r'$X_\mathrm{{T}}$ ($\Omega$)') # Add text box textstr1 = 'Embedding impedance:\n' textstr2 = r'$Z_\mathrm{{T}}=R_\mathrm{{T}}+j\,X_\mathrm{{T}}$' textstr = textstr1 + textstr2 ax.text(0.05, 0.95, textstr, transform=ax.transAxes, verticalalignment='top', bbox=bbox_props) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_simulated(self, fig_name=None, ax=None, vmax_plot=4.): # pragma: no cover """Plot simulated I-V curve (from impedance recovery). Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name: figure filename ax: Matplotlib axis vmax_plot: max voltage to include in plot (in mV) """ # Check arguments # assert fig_name is not None and ax is not None # Unpack vph = self.freq * sc.giga / self.dciv.fgap resp = self.dciv.resp_smear # Fit interval for impedance recovery fit_range = self.kwargs.get('fit_range', None) if fit_range is not None: fit_low = fit_range[0] fit_high = fit_range[1] else: fit_low = self.kwargs.get('cut_low', None) fit_high = self.kwargs.get('cut_high', None) if fit_low is None or fit_high is None: fit_low = PARAMS['fit_range'][0] fit_high = PARAMS['fit_range'][1] fit_high = 1 - fit_high v_min = (1 - vph + vph * fit_low) * self.vgap * 1e3 v_max = (1 - vph * fit_high) * self.vgap * 1e3 # Build embedding circuit cct = qmix.circuit.EmbeddingCircuit(1, 1) cct.freq[1] = vph cct.zt[1, 1] = self.zt cct.vt[1, 1] = self.vt # Simulate pumped I-V curve vj = harmonic_balance(cct, resp, num_b=30, verbose=False) vph_list = [0, cct.freq[1]] current = qtcurrent(vj, cct, resp, vph_list, num_b=30, verbose=False) # De-normalize mv = self.vgap * 1e3 # norm -> mV ua = self.igap * 1e6 # norm -> uA if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() ax.plot(self.dciv.voltage * mv, self.dciv.current * ua, label='Unpumped', c='gray') ax.plot(self.voltage * mv, self.current * ua, label='Pumped') ax.plot(cct.vb * mv, current[0].real * ua, label='Simulated', c='r', ls='--') ax.plot([v_min, v_max], np.interp([v_min, v_max], cct.vb * mv, current[0].real * ua), 'k+', label='Fit Interval') ax.set_xlim([0, vmax_plot]) ax.set_ylim([0, np.interp(vmax_plot, self.dciv.voltage * mv, self.dciv.current * ua)]) ax.set_xlabel(r'Bias Voltage (mV)') ax.set_ylabel(r'DC Current (uA)') msg1 = 'LO: {:.1f} GHz'.format(self.freq) msg2 = r'$V_T$ = {:.2f} mV'.format(self.vt * self.vgap * 1e3) msg3 = r'$Z_T$ = {:.2f} $\Omega$'.format(self.zt * self.rn) msg = msg1 + '\n' + msg2 + '\n' + msg3 ax.legend(title=msg, frameon=False) if fig_name is not None: fig.savefig(fig_name, **_plot_params) plt.close(fig) return else: return ax def plot_all(self, fig_folder, file_struc=None, **kw): # pragma: no cover """Plot all pumped data and save to specified directory. This method will call the following methods: ``plot_iv``, ``plot_ivif``, ``plot_error_surface``, ``plot_simulated``, ``plot_simulated``, ``plot_noise_temp``, and ``plot_gain_noise_temp``. The plots generated by the different methods will be placed in different sub-directories. This is set by the ``file_struc`` argument. This argument is a dictionary with the following keys: ``'Pumped IV data'``, ``'IF data'``, ``'Impedance recovery'``, and ``'Noise temperature'``. Set ``file_struc`` to an empty string ("") if you want all the figures to go into ``fig_folder``. Args: fig_folder (str): folder where the figures go file_struc (dict): dictionary listing all the sub-folders kw: keyword arguments that will be passed to the plotting methods """ # Folders for new plots if file_struc is None: iv_folder = _file_structure['Pumped IV data'] if_folder = _file_structure['IF data'] zr_folder = _file_structure['Impedance recovery'] tn_folder = _file_structure['Noise temperature'] elif isinstance(file_struc, str) and file_struc == '': iv_folder = '' if_folder = '' zr_folder = '' tn_folder = '' elif isinstance(file_struc, dict): iv_folder = file_struc['Pumped IV data'] if_folder = file_struc['IF data'] zr_folder = file_struc['Impedance recovery'] tn_folder = file_struc['Noise temperature'] else: raise ValueError iv_folder = os.path.join(fig_folder, iv_folder) if_folder = os.path.join(fig_folder, if_folder) zr_folder = os.path.join(fig_folder, zr_folder) tn_folder = os.path.join(fig_folder, tn_folder) # Make sure folders exist, create them if not if not os.path.exists(iv_folder): os.makedirs(iv_folder) if not os.path.exists(if_folder): os.makedirs(if_folder) if not os.path.exists(zr_folder): os.makedirs(zr_folder) if not os.path.exists(tn_folder): os.makedirs(tn_folder) # Names for figures f = str(self.freq) fig1 = os.path.join(iv_folder, f + '-iv.png') fig2 = os.path.join(if_folder, f + '-ivif.png') fig3 = os.path.join(zr_folder, f + '-err-surf.png') fig4 = os.path.join(zr_folder, f + '-sim.png') fig5 = os.path.join(tn_folder, f + '-tn.png') fig6 = os.path.join(tn_folder, f + '-tn-gain.png') # Generate plots self.plot_iv(fig1, **kw) self.plot_ivif(fig2, **kw) self.plot_noise_temp(fig5, **kw) self.plot_gain_noise_temp(fig6, **kw) if self.zt is not None: self.plot_error_surface(fig3) self.plot_simulated(fig4, **kw) # ANALYZE IF SPECTRUM DATA --------------------------------------------------- def plot_if_spectrum(data_folder, fig_folder=None, figsize=None): # pragma: no cover """Plot all IF spectra within data_folder. Args: data_folder: data folder fig_folder: figure folder figsize: figure size, in inches """ pstr = "\nImporting and plotting IF data:" cprint(pstr, 'HEADER') if_spectra_files = glob.glob(os.path.join(data_folder, '*comb*.dat')) fig1, ax1 = plt.subplots(figsize=figsize) fig2, ax2 = plt.subplots(figsize=figsize) for if_file in if_spectra_files: filename = os.path.basename(if_file)[:-4] print(" - {}".format(filename)) base = filename.split('_')[0][1:] freq, t_n, p_hot_db, p_cold_db = if_response(if_file) fig2, ax2 = plt.subplots(figsize=figsize) ax2.plot(freq, t_n) ax1.plot(freq, t_n, label="{} GHz".format(base)) ax2.plot(freq, gauss_conv(t_n, sigma=1), label="{} GHz".format(base)) ax2.set_ylabel('Noise Temperature (K)') ax2.set_xlabel('Frequency (GHz)') ax2.set_ylim([0, 400]) ax2.set_xlim([0, 20]) if fig_folder is not None: figname = os.path.join(fig_folder, filename) fig2.savefig(figname + '.png', **_plot_params) ax2.set_ylim([0, 2000]) fig2.savefig(figname + '2.png', **_plot_params) else: fig2.show() ax1.set_ylabel('Noise Temperature (K)') ax1.set_xlabel('Frequency (GHz)') ax1.set_ylim([0, 500]) ax1.set_xlim([0, 20]) ax1.legend() fig1.savefig(os.path.join(fig_folder, 'if_spectra.png'), **_plot_params) ax1.set_ylim([0, 2000]) fig1.savefig(os.path.join(fig_folder, 'if_spectra2.png'), **_plot_params) ax2.set_ylabel('Noise Temperature (K)') ax2.set_xlabel('Frequency (GHz)') ax2.set_ylim([0, 500]) ax2.set_xlim([0, 20]) ax2.legend() fig2.savefig(os.path.join(fig_folder, 'if_spectra_smooth.png'), **_plot_params) ax2.set_ylim([0, 2000]) fig2.savefig(os.path.join(fig_folder, 'if_spectra_smooth2.png'), **_plot_params) print("") # Plot overall results ------------------------------------------------------- def plot_overall_results(dciv, data_list, fig_folder, vmax_plot=4., figsize=None, tn_max=None, f_range=None): # pragma: no cover """Plot all results. This function is somewhat messy, but it will take in a list of RawData class instances, and plot the overall figures of merit (e.g., noise temperature vs LO frequency). Args: dciv: DC I-V data (instance of RawData0) data_list: list of pumped data (instances of RawData) fig_folder: figure destination """ cprint("\nPlotting results.", 'HEADER') # Initialize results directory (if needed) for sub_folder in _file_structure.values(): path = os.path.join(fig_folder, sub_folder) if not os.path.exists(path): os.makedirs(path) plotparam = dict(ls='--', marker='o') csv_folder = os.path.join(fig_folder, '09_csv_data/') fig_folder = os.path.join(fig_folder, '08_overall_performance/') num_data = float(len(data_list)) # Gather data as a function of LO frequency freq, t_n, gain, rdyn = [], [], [], [] f_z, z, v, aemb = [], [], [], [] f_z_all, z_all, v_all, aemb_all = [], [], [], [] if_noise_f, if_noise = [], [] aj, zj = [], [] for data in data_list: freq.append(data.freq) t_n.append(data.tn_best) gain.append(data.g_db) aj.append(data.alpha) zj.append(data.zw) rdyn.append(data.zj_if) if data.fit_good: f_z.append(data.freq) z.append(data.zt * data.rn) v.append(data.vt * data.vgap) aemb.append(data.vt / data.vph) f_z_all.append(data.freq) z_all.append(data.zt * data.rn) v_all.append(data.vt * data.vgap) aemb_all.append(data.vt / data.vph) if data.good_if_noise_fit: if_noise_f.append(data.freq) if_noise.append(data.if_noise) f_z = np.array(f_z) z = np.array(z) f_z_all = np.array(f_z_all) z_all = np.array(z_all) t_n = np.array(t_n) gain = np.array(gain) v = np.array(v) # For normalizing data mv = dciv.vgap * 1e3 ua = dciv.igap * 1e6 imax_plot = np.interp(vmax_plot, dciv.voltage * mv, dciv.current * ua) # Save data in text format ----------------------------------------------- # Save DC I-V curve as csv output_text = np.vstack((dciv.voltage, dciv.current)).T np.savetxt(os.path.join(csv_folder, 'dciv-data.txt'), output_text) # Save impedance as csv with open(os.path.join(csv_folder, 'recovered-emb.txt'), 'w') as fout: for i in range(len(data_list)): vt_tmp = data_list[i].vt * dciv.vgap * 1e3 zt_tmp = data_list[i].zt * dciv.rn zt_fmt = "{:6.2f} + 1j * ({:6.2f})".format(zt_tmp.real, zt_tmp.imag) pstring = '{0}\t{1:5.2f}\t{2}\t{3}\n'.format(data_list[i].freq, vt_tmp, zt_fmt, data_list[i].fit_good) fout.write(pstring) # Write all DC I-V data to a file with open(os.path.join(csv_folder, 'dciv-info.txt'), 'w') as fout: fout.write('Gap voltage \t{:6.2f} [mV]\n'.format(dciv.vgap * 1e3)) fout.write('Normal resistance\t{:6.2f} [ohms]\n'.format(dciv.rn)) fout.write('Gap frequency \t{:6.2f} [GHz]\n'.format(dciv.fgap / 1e9)) # Write all pumped data to a file with open(os.path.join(csv_folder, 'results.txt'), 'w') as fout: headers = ['Frequency (GHz)', 'IV Filename', 'IF Filename (Hot)', 'IF Filename (Cold)', 'Noise Temperature (K)', 'Gain (dB)', 'Drive Level', 'Embedding Impedance (ohms)', 'Embedding Voltage (mV)', 'Embedding Circuit Recovered', 'IF Noise (K)', 'IF Noise Recovered'] fout.write(', '.join(headers) + '\n') for data in data_list: _list = [data.freq, data.iv_file, data.filename_hot, data.filename_cold, "{:.2f}".format(data.tn_best), "{:.2f}".format(data.g_db), "{:.2f}".format(data.alpha), "{:.4f}".format(data.zt * dciv.rn), "{:.4f}".format(data.vt * dciv.vgap * 1e3), data.fit_good, data.if_noise, data.good_if_noise_fit] string = ', '.join([str(item) for item in _list]) fout.write(string + '\n') # Plot all pumped iv curves ---------------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(dciv.voltage * mv, dciv.current * ua, 'k') for i, data in enumerate(data_list): ax.plot(data.voltage * mv, data.current * ua, color=plt.cm.winter(i / num_data), label=data.freq) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel(r'Voltage (mV)') ax.set_ylabel(r'Current (uA)') ax.set_xlim([0, vmax_plot]) ax.set_ylim([0, imax_plot]) ax.legend(title='LO (GHz)', frameon=False) fig.savefig(os.path.join(fig_folder, 'iv_curves.png'), dpi=500) plt.close(fig) # Plot dynamic resistance ------------------------------------------------ fig, ax = plt.subplots(figsize=figsize) ax.plot(freq, rdyn, **plotparam) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'Dynamic resistance ($\Omega$)') ax.set_ylim(bottom=0) fig.savefig(os.path.join(fig_folder, 'rdyn.png'), dpi=500) plt.close(fig) # Plot noise temperature results ----------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(freq, t_n, color=_blue, **plotparam) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel('Noise Temperature (K)') if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) if tn_max is None: ax.set_ylim(bottom=0) else: ax.set_ylim([0, tn_max]) ax.grid() fig.savefig(os.path.join(fig_folder, 'noise_temperature.png'), dpi=500) plt.close(fig) # Plot noise temperature with spline fit --------------------------------- fig, ax = plt.subplots(figsize=figsize) freq_t = np.linspace(np.min(freq), np.max(freq), 1001) sp_1 = UnivariateSpline(freq, t_n) ax.plot(freq, t_n, 'o', color=_blue) ax.plot(freq_t, sp_1(freq_t), '--', color=_blue) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel('Noise Temperature (K)') if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) if tn_max is None: ax.set_ylim(bottom=0) else: ax.set_ylim([0, tn_max]) ax.grid() fname = os.path.join(fig_folder, 'noise_temperature_spline_fit.png') fig.savefig(fname, dpi=500) plt.close(fig) # Plot noise temperature results on log scale ---------------------------- fig, ax = plt.subplots(figsize=figsize) ax.semilogy(freq, t_n, color=_blue, **plotparam) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel('Noise Temperature (K)') if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.grid() fig.savefig(os.path.join(fig_folder, 'noise_temperature_logy.png'), dpi=500) plt.close(fig) # Plot noise temperature and gain ---------------------------------------- fig, ax1 = plt.subplots(figsize=figsize) ax1.plot(freq, t_n, c=_pale_red, **plotparam) ax1.set_xlabel('Frequency (GHz)') ax1.set_ylabel('Noise Temperature (K)', color=_pale_red) if f_range is not None: ax1.set_xlim([f_range[0], f_range[1]]) if tn_max is None: ax1.set_ylim(bottom=0) else: ax1.set_ylim([0, tn_max]) for tl in ax1.get_yticklabels(): tl.set_color(_pale_red) ax2 = ax1.twinx() ax2.plot(freq, gain, c=_blue, **plotparam) ax2.set_ylabel('Gain (dB)', color=_blue) for tl in ax2.get_yticklabels(): tl.set_color(_blue) fig.savefig(os.path.join(fig_folder, 'noise_temperature_and_gain.png'), dpi=500) plt.close(fig) # Plot IF noise contribution results ------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(if_noise_f, if_noise, 'o--', color=_pale_red) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'IF Noise Contribution (K)') ax.set_ylim(bottom=0) fname = os.path.join(fig_folder, 'if_noise.png') fig.savefig(fname, dpi=500) plt.close(fig) # Plot embedding impedance results --------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(f_z, z.real, c=_pale_blue, label='Real', **plotparam) ax.plot(f_z, z.imag, c=_pale_red, label='Imaginary', **plotparam) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'Embedding Impedance ($\Omega$)') ax.legend(frameon=False) ax.minorticks_on() fig.savefig(os.path.join(fig_folder, 'embedding_impedance.png'), dpi=500) plt.close(fig) # Plot embedding impedance results --------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(f_z_all, z_all.real, c=_pale_blue, label='Real', **plotparam) ax.plot(f_z_all, z_all.imag, c=_pale_red, label='Imaginary', **plotparam) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'Embedding Impedance ($\Omega$)') ax.legend(frameon=False) ax.minorticks_on() fig.savefig(os.path.join(fig_folder, 'embedding_impedance_all.png'), dpi=500) plt.close(fig) # Plot embedding impedance results --------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(f_z, v * 1e3, c=_pale_green, ls='--', marker='o') if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'Embedding Voltage (mV)') ax.set_ylim(bottom=0) ax.minorticks_on() fig.savefig(os.path.join(fig_folder, 'embedding_voltage.png'), dpi=500) plt.close(fig) # Plot embedding impedance results --------------------------------------- fig, ax = plt.subplots(figsize=figsize) ax.plot(freq, aj, c=_pale_green, **plotparam) if f_range is not None: ax.set_xlim([f_range[0], f_range[1]]) ax.set_xlabel('Frequency (GHz)') ax.set_ylabel(r'Drive Level, $\alpha$') ax.set_ylim([0, 1.2]) ax.minorticks_on() ax.grid() fig.savefig(os.path.join(fig_folder, 'drive_level.png'), dpi=500) plt.close(fig) # Plot the impedance of the SIS junction --------------------------------- fig, ax1 = plt.subplots(figsize=figsize) zj = np.array(zj) * dciv.rn ax1.plot(freq, zj.real, c=_pale_blue, label=r'Re$\{Z_J\}$', **plotparam) ax1.plot(freq, zj.imag, c=_pale_red, label=r'Im$\{Z_J\}$', **plotparam) if f_range is not None: ax1.set_xlim([f_range[0], f_range[1]]) ax1.set_xlabel('Frequency (GHz)') ax1.set_ylabel(r'Junction Impedance ($\Omega$)') ax1.set_ylim() ax1.legend(loc=0) ax1.minorticks_on() plt.savefig(os.path.join(fig_folder, 'junction_impedance.png'), dpi=500) plt.close(fig) print(" -> Done\n") # IMPEDANCE RECOVERY HELPER FUNCTIONS (PRIVATE) ------------------------------ def _error_function(vwi, zwi, zs): """Calculate error function. Equation 26 from: S. Withington, K. G. Isaak, S. Kovtonyuk, R. Panhuyzen, and T. M. Klapwijk, "Direct detection at submillimetre wavelengths using superconducting tunnel junctions," Infrared Phys. Technol., vol. 36, no. 7, pp. 1059-1075, Dec. 1995. """ err1 = np.sum(np.abs(vwi)**2) err2 = np.sum(np.abs(vwi * zwi / (zs + zwi))) err3 = np.sum(np.abs(zwi / (zs + zwi))**2) return (err1 - err2**2 / err3) / len(vwi) def _find_source_voltage(vwi, zwi, zs): """Calculate source voltage (i.e., embedding voltage). Equation 27 from: S. Withington, K. G. Isaak, S. Kovtonyuk, R. Panhuyzen, and T. M. Klapwijk, "Direct detection at submillimetre wavelengths using superconducting tunnel junctions," Infrared Phys. Technol., vol. 36, no. 7, pp. 1059-1075, Dec. 1995. """ v1 = np.sum(np.abs(vwi * zwi / (zs + zwi))) v2 = np.sum(np.abs(zwi / (zs + zwi))**2) return v1 / v2 def _find_ac_current(resp, vb, vph, alpha, num_b=20, **kw): """Calculate AC tunneling current. This is the large-signal equation from Tucker theory. """ ac_current = np.zeros_like(vb, dtype=complex) for n in range(-num_b, num_b + 1): # Bessel functions j_n = special.jv(n, alpha) j_minus = special.jv(n - 1, alpha) j_plus = special.jv(n + 1, alpha) ac_current += j_n * (j_minus + j_plus) * resp.idc(vb + n * vph) ac_current += 1j * j_n * (j_minus - j_plus) * resp.ikk(vb + n * vph) return ac_current def _find_pumped_iv_curve(resp, vb, vph, alpha, num_b=20, **kw): """Calculate DC tunneling current (from Tucker theory). """ dc_current = np.zeros_like(vb, dtype=float) for n in range(-num_b, num_b + 1): dc_current += special.jv(n, alpha)**2 * resp.idc(vb + n * vph) return dc_current def _find_alpha(dciv, vdc_exp, idc_exp, vph, alpha_max=1.5, num_b=20, **kw): """Find the drive level (alpha) at each bias voltage. """ resp = dciv.resp # Guess initial alpha value using the Bisection Method idc_tmp = _find_pumped_iv_curve(resp, vdc_exp, vph, alpha_max, num_b=num_b, **kw) idciv = resp.idc(vdc_exp) alpha = (idc_exp - idciv) / (idc_tmp - idciv) * alpha_max alpha[alpha < 0] = 0 # Refine alpha using an iterative technique alpha_step = alpha_max / 4. for it in range(15): idc_tmp = _find_pumped_iv_curve(resp, vdc_exp, vph, alpha, num_b=num_b, **kw) idc_err_tmp = idc_tmp - idc_exp alpha[idc_err_tmp > 0] -= alpha_step alpha[idc_err_tmp < 0] += alpha_step alpha[alpha < 0] = 0 alpha_step /= 2. return np.array(alpha) # FILE MANAGEMENT ------------------------------------------------------------ def initialize_dir(fig_folder): # pragma: no cover """Initialize a new directory for storing results. If you use either Args: fig_folder: desired location """ folder_list = [''] folder_list += list(_file_structure.values()) for folder in folder_list: if not os.path.exists(fig_folder + folder): os.makedirs(fig_folder + folder) print(' - Created: ' + folder) print(" ") # FILE HELPER FUNCTIONS ------------------------------------------------------ def _get_freq_from_filename(file_path): """Get frequency from filename. This is used by the ``RawData`` class if a frequency is not provided as an argument. Note: This function assumes that the only numbers in the filename are there to represent the frequency. E.g., ``f230_0_iv.csv`` will be analyzed as 230.0 GHz, but ``f230_0_iv12.csv`` will be analyzed as 230.012 GHz. More importantly, ``no15_f230_iv.csv`` will be analyzed as 152.30 GHz. This function also assumes that the first digit in the file name represents the hundreds (x100), so to represent a frequency below 100 GHz, you should use a leading zero. E.g., 85 GHz should be saved as ``f085_0_iv.csv``, or something along those lines. Args: file_path: file path Returns: float: Frequency, in units [GHz] """ filename = os.path.basename(file_path) freq_nums = [int(s) for s in list(filename) if s.isdigit()] mult = 100. freq = 0. for c in freq_nums: freq += c * mult mult /= 10. return freq def _get_freq(freq, filepath): """Get frequency. If ``freq`` is not ``None``, return ``freq``. Otherwise, if ``freq`` is ``None``, try to get it from the filename (see ``_get_freq_from_filename()`` function). Also, return the frequency as a string, so that it can be used to name output files. But, replace periods with underscores. For example, represent a frequency of 230.0 GHz as ``230_0``. Args: freq: frequency, in units GHz filepath: filename of pumped I-V data Returns: tuple: frequency float and frequency string """ if freq is None: freq = float(_get_freq_from_filename(filepath)) else: freq = float(freq) freq_str = "{0:05.1f}".format(freq) freq_str = freq_str.replace('.', '_') return freq, freq_str QMix-1.0.6/qmix/exp/if_data.py000066400000000000000000000404621370151251300161130ustar00rootroot00000000000000""" This sub-module contains functions for importing and analyzing experimental IF power measurements. The "IF data" is the IF output power from the SIS device versus bias voltage. The term "DC IF data" is used for IF power with no LO injection, and "IF data" is used for IF power with LO injection. Note: The IF data is expected either in the form of a CSV file or a Numpy array. Either way the data should have two columns: the first for voltage and the second for current. """ from collections import namedtuple import numpy as np from scipy import stats from scipy.signal import savgol_filter import scipy.constants as sc from qmix.exp.clean_data import remove_doubles_matrix, remove_nans_matrix from qmix.exp.parameters import params as PARAMS from qmix.mathfn import slope_span_n from qmix.mathfn.filters import gauss_conv from qmix.misc.terminal import cprint _vfmt_dict = {'uV': 1e-6, 'mV': 1e-3, 'V': 1} # Voltage units # Load IF data and determine noise temperature ------------------------------- DCIFData = namedtuple('DCIFData', ['if_noise', 'corr', 'if_fit', 'shot_slope', 'vmax']) DCIFData.__doc__ = """\ Struct for DC IF metadata. Args: if_noise (float): IF noise in units K, derived from the shot noise. corr (float): The correction required to transform the measured IF power (measured in arbitrary units, A.U.) to units K. if_fit (bool): Is the estimated IF noise a reasonable value? shot_slope (float): The slope of the line fit to the shot noise. vmax (float): Maximum bias voltage, in units V. """ def dcif_data(ifdata, dc, **kwargs): """Analyze DC IF measurements. This is the IF data that is measured with no LO present. This data is used to analyze the shot noise, which can then be used to convert the IF data into units 'K' and estimate the IF noise component. Args: ifdata: IF data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for IF power. If you are passing a CSV file, the properties of the CSV file can be set through additional keyword arguments (see below). dc (qmix.exp.iv_data.DCIVData): DC I-V metadata. Keyword Args: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). rseries (float): Series resistance in experimental measurement system, in units [ohms]. v_multiplier (float): Multiply the imported voltage by this value. ifdata_npts (int): Number of points for interpolation. ifdata_sigma (float): Standard deviation of Gaussian used for filtering, in units [V] vshot (list): Voltage range over which to fit shot noise slope, in units [V]. Can be a list of lists to define multiple ranges. verbose (bool): Print to terminal. Returns: tuple: DC IF data, IF noise contribution, A.U. to K correction factor, shot noise slope data, good fit to IF noise? """ ifdata = _load_if(ifdata, dc, **kwargs) if_noise, corr, i_slope, if_fit = _find_if_noise(ifdata, dc, **kwargs) ifdata[:, 1] *= corr vmax = ifdata[:, 0].max() * dc.vgap shot_noise = np.vstack((ifdata[:, 0], i_slope)).T dcif = DCIFData(if_noise=if_noise, corr=corr, if_fit=if_fit, shot_slope=shot_noise, vmax=vmax) return ifdata, dcif def if_data(if_hot, if_cold, dc, **kwargs): """Analyze IF measurements from a hot/cold load experiment. Args: if_hot: Hot IF data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for IF power. if_cold: Cold IF data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for IF power. dc (qmix.exp.iv_data.DCIVData): DC I-V metadata. Keyword Args: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). rseries (float): Series resistance in experimental measurement system, in units [ohms]. v_multiplier (float): Multiply the imported voltage by this value. ifdata_max (float): Maximum IF voltage to import. ifdata_npts (int): Number of points for interpolation. ifdata_sigma (float): Standard deviation of Gaussian used for filtering, in units [V] t_cold (float): Temperature of cold blackbody load. t_hot (float): Temperature of hot blackbody load. vbest (float): Bias voltage for best results (best temperature and gain). verbose (bool): Print to terminal. Returns: tuple: Hot IF data, Cold IF data, Noise temperature, Gain, Index of best noise temperature, IF noise contribution, Good fit to IF noise?, shot noise slope """ print("\033[95m -> Analyze IF data:\033[0m") verbose = kwargs.get('verbose', PARAMS['verbose']) dcif = kwargs.get('dcif', None) # Load IF data if_hot = _load_if(if_hot, dc, **kwargs) if_cold = _load_if(if_cold, dc, **kwargs) # Correct data based on shot noise slope if dcif is None or dcif.corr is None: if_average = (if_hot + if_cold) / 2. if_noise, corr, i_slope, if_fit = _find_if_noise(if_average, dc, **kwargs) shot_slope = np.vstack((if_cold[:, 0], i_slope)).T else: if_noise = dcif.if_noise corr = dcif.corr shot_slope = dcif.shot_slope if_fit = dcif.if_fit if_hot[:, 1] *= corr if_cold[:, 1] *= corr # Calculate noise temperature + gain tn, gain, idx_best = _find_tn_gain(if_hot, if_cold, dc, **kwargs) results = np.vstack((if_hot[:,0], if_hot[:,1], if_cold[:,1], tn, gain)).T vmax = if_hot[:,0].max() * dc.vgap dcif_out = DCIFData(if_noise=if_noise, corr=corr, if_fit=if_fit, shot_slope=shot_slope, vmax=vmax) if verbose: print("\t- IF noise:\t{0:+6.2f} K".format(if_noise)) return results, idx_best, dcif_out # Calculate noise temperature ------------------------------------------------ def _find_tn_gain(if_data_hot, if_data_cold, dc, **kw): """Find the noise temperature and gain from IF data. This function will search for the best noise temperature, but it makes an effort to not take noise temperatures that are found in narrow dips. Note: IF data must be corrected using Woody's method (i.e., using the shot noise slope) prior to being used in this function. Args: if_data_hot: Hot IF data if_data_cold: Cold IF data dc: DC I-V metadata Keyword Args: freq: Frequency in GHz t_hot (float): hot load temperature t_cold (float): cold load temperature verbose (bool): print to terminal vbest (float): Bias voltage with best results (best noise temperature and gain) Returns: tuple: noise temperature, gain, and best index """ # Unpack keyword arguments freq = kw.get('freq', PARAMS['freq']) t_hot = kw.get('t_hot', PARAMS['t_hot']) t_cold = kw.get('t_cold', PARAMS['t_cold']) verbose = kw.get('verbose', PARAMS['verbose']) vbest = kw.get('vbest', PARAMS['vbest']) best_pt = kw.get('best_pt', PARAMS['best_pt']) # Unpack vnorm = if_data_hot[:, 0] p_hot = if_data_hot[:, 1] p_cold = if_data_cold[:, 1] # Callen-Welton t_hot = _temp_cw(freq*1e9, t_hot) t_cold = _temp_cw(freq*1e9, t_cold) assert (vnorm == if_data_cold[:, 0]).all(), \ "Voltages of hot and cold measurements must match." # Calculate y-factor and remove impossible values (y<1) y = p_hot / p_cold y[y <= 1. + 1e-10] = 1. + 1e-10 # Calculate noise temperature and gain tn = (t_hot - t_cold * y) / (y - 1) gain = (p_hot - p_cold) / (t_hot - t_cold) # Best bias point if vbest is not None: idx_out = np.abs(vnorm * dc.vgap - vbest).argmin() elif best_pt.lower() == 'max gain': idx_out = gain.argmax() elif best_pt.lower() == 'min tn': idx_out = tn.argmin() else: raise ValueError("best_pt not recognized") if verbose: tn_best = tn[idx_out] gain_best = 10 * np.log10(gain[idx_out]) print("\t- noise temp:\t{0:6.1f} K".format(tn_best)) print("\t- gain:\t\t{0:+6.2f} dB".format(gain_best)) return tn, gain, idx_out def _temp_cw(freq, tphys): """Callen-Welton equations. Uses Planck distribution with half photon.""" freq = float(freq) tphys = float(tphys) return sc.h * freq / 2 / sc.k / np.tanh(sc.h * freq / 2 / sc.k / tphys) # Determine if noise --------------------------------------------------------- def _find_if_noise(if_data, dc, **kw): """Determine IF noise from shot noise slope. Uses Woody's method (Woody 1985). Args: if_data: IF data, 2-column numpy array: voltage x power dc: DC I-V metadata Keyword Args: vshot (list): Voltage range over which to fit shot noise slope, in units [V]. Can be a list of lists to define multiple ranges. Returns: tuple: IF noise, correction factor, linear fit """ # Unpack keyword arguments vshot = kw.get('vshot', PARAMS['vshot']) # This is relatively tricky to automate # It still makes mistakes occasionally, make sure to check/plot your data # TODO: Sort out this function # Unpack x = if_data[:, 0] y = if_data[:, 1] # DEBUG # import matplotlib.pyplot as plt # plt.plot(x, y) # plt.show() if vshot is None: # Find linear region where spikes due to Josephson effect are not present # Begin by filtering and calculating the first/second derivative y_filt = savgol_filter(y, 21, 3) first_der = slope_span_n(x, y_filt, 11) first_der = savgol_filter(first_der, 51, 3) second_der = slope_span_n(x, first_der, 11) second_der = savgol_filter(np.abs(second_der), 51, 3) # First criteria: x>1.7 and second derivative must be small condition1 = np.max(np.abs(second_der)) * 1e-2 mask = (x > 1.7) & (np.abs(second_der) < condition1) # Second criteria: first derivative must be similar to bulk value med_der = np.median(first_der[mask]) mask_tmp = (0. < first_der) & (first_der < med_der * 2) mask = mask & mask_tmp # Third criteria: must be at least two values clumped together mask_tmp = np.zeros_like(mask, dtype=bool) mask_tmp[:-1] = mask[:-1] & mask[1:] mask = mask & mask_tmp else: # Make vshot a list of lists assert isinstance(vshot, tuple) or isinstance(vshot, list) if not isinstance(vshot[0], tuple) and not isinstance(vshot[0], list): vshot = (vshot,) # Build mask mask = np.zeros_like(x, dtype=bool) for vrange in vshot: mask_tmp = (vrange[0] < x * dc.vgap) & (x * dc.vgap < vrange[1]) mask = mask | mask_tmp if np.sum(mask) < 5: # pragma: no cover cprint('\t\tShot noise fit failed.', 'RED') cprint('\t\tSelecting all voltages above 2*Vgap.', 'RED') mask = x > 2. # Combine criteria x_red, y_red = x[mask], y[mask] # Find slope of shot noise slope, intercept, _, _, _ = stats.linregress(x_red, y_red) i_slope = slope * x + intercept # # Normal resistance in this region # volt_v = x_red * dc.vgap # curr_a = np.interp(x_red, dc.vnorm, dc.inorm) * dc.igap # rn_slope = (curr_a[-1] - curr_a[0]) / (volt_v[-1] - volt_v[0]) # vint = curr_a[0] - rn_slope * volt_v[0] # if vint < 0: # vint = 0 # # Plot for debugging # import matplotlib.pyplot as plt # plt.figure() # plt.plot(x, y, 'k') # plt.plot(x_red, y_red, 'r') # plt.plot(x, i_slope, 'g--') # plt.ylim([0, i_slope.max() * 1.05]) # plt.show() # Correct shot noise slope to 5.8/mV # gamma = (dc.rn - 50.) / (dc.rn + 50.) # trans = (1 - gamma**2) corr = 5.8 / slope * dc.vgap * 1e3 # * trans i_slope *= corr # IF noise contribution if_noise = np.interp(dc.vint / dc.vgap, x, i_slope) # if_noise = np.interp(vint, x, i_slope) # Is it a reasonable IF noise estimate? good_if_noise_fit = 0 < if_noise < 50 return if_noise, corr, i_slope, good_if_noise_fit # Import IF data ------------------------------------------------------------- def _load_if(ifdata, dc, **kwargs): """Import IF data. Args: ifdata: IF data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for IF power. If you are using a CSV file, the properties of the CSV file can be set through additional keyword arguments (see below). dc (qmix.exp.iv_data.DCIVData): DC I-V metadata. Keyword arguments: delimiter (str): delimiter used in data files v_fmt (str): units for voltage ('V', 'mV', 'uV') usecols (tuple): columns for voltage and current (e.g., ``(0,1)``) ifdata_sigma (float): Standard deviation of Gaussian used for filtering, in units [V] ifdata_npts (float): evenly interpolate data to have this many data points rseries (float): series resistance of measurement system skip_header: number of rows to skip at the beginning of the file Returns: IF data (in matrix form) """ # Unpack keyword arguments v_multiplier = kwargs.get('v_multiplier', PARAMS['v_multiplier']) skip_header = kwargs.get('skip_header', PARAMS['skip_header']) sigma = kwargs.get('ifdata_sigma', PARAMS['ifdata_sigma']) vmax = kwargs.get('vmax', PARAMS['vmax']) npts = kwargs.get('ifdata_npts', PARAMS['ifdata_npts']) delim = kwargs.get('delimiter', PARAMS['delimiter']) usecols = kwargs.get('usecols', PARAMS['usecols']) rseries = kwargs.get('rseries', PARAMS['rseries']) v_fmt = kwargs.get('v_fmt', PARAMS['v_fmt']) # Import raw IF data if isinstance(ifdata, str): # assume CSV data file ifdata = np.genfromtxt(ifdata, delimiter=delim, usecols=usecols, skip_header=skip_header) elif isinstance(ifdata, np.ndarray): # Numpy array ifdata = ifdata.copy() assert ifdata.ndim == 2, 'I-V data should be 2-dimensional.' assert ifdata.shape[1] == 2, 'I-V data should have 2 columns.' else: raise ValueError("Input data type not recognized.") # Units for voltage ifdata[:, 0] *= _vfmt_dict[v_fmt] # Clean ifdata = remove_nans_matrix(ifdata) ifdata = ifdata[np.argsort(ifdata[:, 0])] ifdata = remove_doubles_matrix(ifdata) # Correct errors in experimental system ifdata[:, 0] *= v_multiplier # Correct for offset ifdata[:, 0] = ifdata[:, 0] - dc.offset[0] # Correct for series resistance if rseries is not None: v = ifdata[:, 0] rstatic = dc.vraw / dc.iraw rstatic[rstatic < 0] = 0. rstatic = np.interp(v, dc.vraw, rstatic) iraw = np.interp(v, dc.vraw, dc.iraw) rj = rstatic - rseries v0 = iraw * rj ifdata[:, 0] = v0 # Normalize voltage to gap voltage ifdata[:, 0] /= dc.vgap # Set to common voltage (so that data can be stacked) v, p = ifdata[:, 0], ifdata[:, 1] assert v.max() > vmax / dc.vgap, \ 'vmax ({0}) outside data range ({1})'.format(vmax / dc.vgap, v.max()) assert v.min() < 0., 'V=0 not included in IF data' v_out = np.linspace(0, vmax / dc.vgap, npts) p_out = np.interp(v_out, v, p) ifdata = np.vstack((v_out, p_out)).T # Smooth IF data if sigma is not None: step = (ifdata[1, 0] - ifdata[0, 0]) * dc.vgap # Backwards compatibility if sigma > 0.5: sigma = sigma * step ifdata[:, 1] = gauss_conv(ifdata[:, 1], sigma / step) return ifdata QMix-1.0.6/qmix/exp/if_response.py000066400000000000000000000060461370151251300170400ustar00rootroot00000000000000"""This sub-module contains functions for importing and analyzing the IF response. These are hot/cold load measurements that were measured using a spectrum analyzer. From this, we calculate the noise temperature versus IF frequency (i.e., the IF response). """ import numpy as np from qmix.exp.parameters import params as PARAMS def if_response(if_data, **kw): """Calculate the noise temperature from hot/cold spectrum measurements. This is the IF output power (versus IF frequency) that is measured from hot and cold blackbody loads. This data is used to calculate the noise temperature versus IF frequency, sometimes referred to as the IF response. Args: if_data: IF response data. This can either be in the form of a CSV file, or a Numpy array. Either way, the data should have 3 columns: frequency, in units [GHz], hot IF power, in units [dBm], and cold IF power, in units [dBm]. Keyword Args: t_hot: hot blackbody load temperature t_cold: cold blackbody load temperature ifresp_delimiter: delimiter for the IF response files ifresp_usecols: which columns to import from IF response files ifresp_skipheader: how many rows to skip at the beginning of IF response files. Returns: ndarray: frequency, noise temp, hot power, cold power """ # Unpack keyword arguments th = kw.get('t_hot', PARAMS['t_hot']) tc = kw.get('t_cold', PARAMS['t_cold']) ifresp_delimiter = kw.get('ifresp_delimiter', PARAMS['ifresp_delimiter']) ifresp_usecols = kw.get('ifresp_usecols', PARAMS['ifresp_usecols']) ifresp_skipheader = kw.get('ifresp_skipheader', PARAMS['ifresp_skipheader']) ifresp_maxtn = kw.get('ifresp_maxtn', PARAMS['ifresp_maxtn']) # Import IF spectrum measurements if isinstance(if_data, str): # input is a CSV file f, ph_db, pc_db = np.genfromtxt(if_data, delimiter=ifresp_delimiter, usecols=ifresp_usecols, skip_header=ifresp_skipheader).T elif isinstance(if_data, np.ndarray): # input is a Numpy array assert if_data.ndim == 2, \ 'IF response data should be 2-dimensional.' if if_data.shape[1] != 3: if_data = if_data.T assert if_data.shape[1] == 3, 'IF response should have 3 columns.' f, ph_db, pc_db = if_data.T else: raise ValueError("Input data type not recognized.") # Y-factor y = _db_to_lin(ph_db) / _db_to_lin(pc_db) y[y <= 1] = 1 + 1e-6 # Noise temperature tn = (th - tc * y) / (y - 1) # Remove bad noise temperatures mask = (tn < 0) | (tn > ifresp_maxtn) tn[mask] = ifresp_maxtn # Stack data for output data = np.vstack((f, tn, ph_db, pc_db)) return data def _db_to_lin(db): """dB to linear units. Args: db: value in decibels Returns: ndarray: value in linear units """ return 10 ** (db / 10.) QMix-1.0.6/qmix/exp/iv_data.py000066400000000000000000000570621370151251300161370ustar00rootroot00000000000000"""This sub-module contains functions for importing and analyzing experimental current-voltage (I-V) data. "I-V data" is the DC tunneling current versus DC bias voltage that is measured from an SIS junction. In general, the term "DC I-V data" is used for I-V data that is collected with no local-oscillator (LO) injection, and "I-V data" is used for I-V data that is collected with LO injection (also known as the "pumped I-V curve"). Note: The I-V data is expected either in the form of a CSV file or a Numpy array. Either way the data should have two columns: the first for voltage and the second for current. """ from collections import namedtuple from warnings import filterwarnings import matplotlib.pyplot as plt import numpy as np import scipy.constants as sc from scipy.signal import savgol_filter from qmix.exp.clean_data import remove_doubles_xy, remove_nans_xy, sort_xy from qmix.exp.parameters import params as PARAMS from qmix.mathfn.filters import gauss_conv from qmix.mathfn.misc import slope from qmix.misc.terminal import cprint filterwarnings(action="ignore", module="scipy", message="^internal gelsd") _vfmt_dict = {'uV': 1e-6, 'mV': 1e-3, 'V': 1} # Voltage units _ifmt_dict = {'uA': 1e-6, 'mA': 1e-3, 'A': 1} # Current units # Import and analyze I-V data ------------------------------------------------ DCIVData = namedtuple('DCIVData', ['vraw', 'iraw', 'vnorm', 'inorm', 'vgap', 'igap', 'fgap', 'rn', 'rsg', 'offset', 'vint', 'rseries']) DCIVData.__doc__ = """\ Struct for DC I-V curve metadata. Args: vraw (ndarray): DC bias voltage in units [V]. This data has been filtered and the offset has been corrected. iraw (ndarray): DC tunneling current in units [A]. This data has been filtered and the offset has been corrected. vnorm (ndarray): DC bias voltage, normalized to the gap voltage. inorm (ndarray): DC tunneling current, normalized to the gap current. vgap (float): Gap voltage in units [V]. igap (flaot): Gap current in units [A]. fgap (float): Gap frequency in units [Hz]. rn (float): Normal-state resistance in units [ohms]. rsg (float): Sub-gap resistance in units [ohms]. offset (tuple): Voltage and current offset in the raw measured data, in units [V] and [A], respectively. vint (float): If you fit a line to the normal-state resistance (i.e., the DC I-V curve above the gap), the line will intercept the x-axis at ``vint``. This is given in units [V]. rseries (float): The series resistance to remove from the I-V data. Given in units [ohms]. """ def dciv_curve(ivdata, **kwargs): """Import and analyze DC I-V data (a.k.a., the unpumped I-V curve). Args: ivdata: DC I-V data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for current. If you are using CSV files, the properties of the CSV file can be set through additional keyword arguments. (See below). Keyword Args: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). vmax (float): Maximum voltage to import in units [V]. npts (int): Number of points to have in I-V interpolation. debug (bool): Plot each step of the I-V processing procedure. voffset (float): Voltage offset, in units [V]. ioffset (float): Current offset, in units [A]. voffset_range (list): Voltage range over which to search for offset, in units [V]. voffset_sigma (float): Standard deviation of Gaussian filter when searching for offset. rseries (float): Series resistance in experimental measurement system, in units [ohms]. i_multiplier (float): Multiply the imported current by this value. v_multiplier (float): Multiply the imported voltage by this value. filter_data (bool): Filter data vgap_guess (float): Guess of gap voltage. Used to temporarily normalize while filtering. Given in units [V]. igap_guess (float): Guess of gap current. Used to temporarily normalize while filtering. Given in units [A]. filter_theta (float): Angle by which to the rotate data while filtering. Given in radians. filter_nwind (int): Window size for Savitsky-Golay filter. filter_npoly (int): Order of Savitsky-Golay filter. vgap_threshold (float): The current to measure the gap voltage at. vrn (list): Voltage range over which to calculate the normal resistance, in units [V] rn_vmin (float): Lower voltage range to determine the normal resistance, in units [V] (DEPRECATED) rn_vmax (float): Upper voltage range to determine the normal resistance, in units [V] (DEPRECATED) vrsg (float): The voltage at which to calculate the subgap resistance. vleak (float): The voltage at which to calculate the subgap leakage current. Returns: tuple: normalized voltage, normalized current, DC I-V metadata """ # Unpack keyword arguments # Use default values from qmix.exp.parameters if they aren't provided v_multiplier = kwargs.get('v_multiplier', PARAMS['v_multiplier']) i_multiplier = kwargs.get('i_multiplier', PARAMS['i_multiplier']) rseries = kwargs.get('rseries', PARAMS['rseries']) debug = kwargs.get('debug', PARAMS['debug']) vmax = kwargs.get('vmax', PARAMS['vmax']) npts = kwargs.get('npts', PARAMS['npts']) # Import and do some basic cleaning (voltage in V, current in A) volt_v, curr_a = _load_iv(ivdata, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.title('Initial import') plt.show() # Correct for DC gain errors in experimental system (if needed) volt_v *= v_multiplier curr_a *= i_multiplier # Correct offsets in I-V data volt_v, curr_a, offset = _correct_offset(volt_v, curr_a, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.grid() plt.title('After correcting for the offset') plt.show() # Filter I-V data volt_v, curr_a = _filter_iv_data(volt_v, curr_a, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.title('After filtering') plt.show() # Save uncorrected data vraw, iraw = volt_v.copy(), curr_a.copy() # Correct for series resistances in DC biasing system volt_v, curr_a = _correct_series_resistance(volt_v, curr_a, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.grid() plt.title('After fixing the series resistance') plt.show() # Analyze properties of DC I-V curve rn, vint = _find_normal_resistance(volt_v, curr_a, **kwargs) rsg = _find_subgap_resistance(volt_v, curr_a, **kwargs) vgap = _find_gap_voltage(volt_v, curr_a, **kwargs) fgap = sc.e * vgap / sc.h igap = vgap / rn # Warnings if rn < 1: cprint('\nWarning: Normal resistance is very low...', 'RED') cprint(' Are you sure you have the right units?\n', 'RED') if rn > 50: cprint('\nWarning: Normal resistance is very high...', 'RED') cprint(' Are you sure you have the right units?\n', 'RED') # Normalize I-V curve voltage = volt_v / vgap current = curr_a / igap # Resample I-V curve v_temp = np.linspace(-vmax, vmax, npts) / vgap current = np.interp(v_temp, voltage, current) voltage = v_temp # Save DC I-V curve metadata dc = DCIVData(vraw=vraw, iraw=iraw, vnorm=voltage, inorm=current, vgap=vgap, igap=igap, fgap=fgap, rn=rn, rsg=rsg, offset=offset, vint=vint, rseries=rseries) return voltage, current, dc def iv_curve(ivdata, dc, **kwargs): """Load and analyze pumped I-V curve data. Args: ivdata: I-V data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for current. If you are using a CSV file, the properties of the CSV file can be set through additional keyword arguments (see below). dc (qmix.exp.iv_data.DCIVData): DC I-V data metadata. Generated previously by ``dciv_curve``. Keyword Args: delimiter (str): Delimiter for CSV files. usecols (tuple): List of columns to import (tuple of length 2). skip_header (int): Number of rows to skip, used to skip the header. v_fmt (str): Units for voltage ('uV', 'mV', or 'V'). i_fmt (str): Units for current ('uA', 'mA', or 'A'). vmax (float): Maximum voltage to import in units [V]. npts (int): Number of points to have in I-V interpolation. debug (bool): Plot each step of the I-V processing procedure. voffset (float): Voltage offset, in units [V]. ioffset (float): Current offset, in units [A]. voffset_range (list): Voltage range over which to search for offset, in units [V]. voffset_sigma (float): Standard deviation of Gaussian filter when searching for offset. rseries (float): Series resistance in experimental measurement system, in units [ohms]. i_multiplier (float): Multiply the imported current by this value. v_multiplier (float): Multiply the imported voltage by this value. filter_data (bool): Filter data vgap_guess (float): Guess of gap voltage. Used to temporarily normalize while filtering. Given in units [V]. igap_guess (float): Guess of gap current. Used to temporarily normalize while filtering. Given in units [A]. filter_theta (float): Angle by which to the rotate data while filtering. Given in radians. filter_nwind (int): Window size for Savitsky-Golay filter. filter_npoly (int): Order of Savitsky-Golay filter. Returns: tuple: normalized voltage, normalized current """ # Unpack keyword arguments v_multiplier = kwargs.get('v_multiplier', PARAMS['v_multiplier']) i_multiplier = kwargs.get('i_multiplier', PARAMS['i_multiplier']) voffset = kwargs.get('voffset', PARAMS['voffset']) ioffset = kwargs.get('ioffset', PARAMS['ioffset']) debug = kwargs.get('debug', PARAMS['debug']) vmax = kwargs.get('vmax', PARAMS['vmax']) npts = kwargs.get('npts', PARAMS['npts']) # Import and do some basic cleaning volt_v, curr_a = _load_iv(ivdata, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.title('Initial import') plt.show() # Correct for DC gain errors in experimental system (if needed) volt_v *= v_multiplier curr_a *= i_multiplier # Correct offset if voffset is not None and ioffset is not None: volt_v -= voffset curr_a -= ioffset else: volt_v -= dc.offset[0] curr_a -= dc.offset[1] if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.title('After correcting offset') plt.show() # Filter I-V data volt_v, curr_a = _filter_iv_data(volt_v, curr_a, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.title('After filtering') plt.show() # Correct for series resistances in DC biasing system volt_v, curr_a = _correct_series_resistance(volt_v, curr_a, **kwargs) if debug: # pragma: no cover plt.figure() plt.plot(volt_v, curr_a) plt.grid() plt.title('After fixing the series resistance') plt.show() # Normalize voltage = volt_v / dc.vgap current = curr_a / dc.igap # Resample I-V curve v_temp = np.linspace(-vmax, vmax, npts) / dc.vgap current = np.interp(v_temp, voltage, current) voltage = v_temp return voltage, current # Load I-V data ------------------------------------------------------------- def _load_iv(ivdata, **kw): """Import I-V data and do some basic cleaning. Args: ivdata: I-V data. Either a CSV data file or a Numpy array. The data should have two columns: the first for voltage, and the second for current. Keyword Arguments: v_fmt: voltage units ('uV', 'mV', 'V') i_fmt: current units ('uA', 'mA', 'A') usecols: list of columns to use (tuple of length 2) skip_header: number of rows to skip at the beginning of the file delimiter: delimiter for CSV files Returns: tuple: voltage in units V, current in units A """ # Unpack keyword arguments skip_header = kw.get('skip_header', PARAMS['skip_header']) delimiter = kw.get('delimiter', PARAMS['delimiter']) usecols = kw.get('usecols', PARAMS['usecols']) v_fmt = kw.get('v_fmt', PARAMS['v_fmt']) i_fmt = kw.get('i_fmt', PARAMS['i_fmt']) # Import raw I-V data if isinstance(ivdata, str): # input: CSV file vraw, iraw = np.genfromtxt(ivdata, delimiter=delimiter, usecols=usecols, skip_header=skip_header).T elif isinstance(ivdata, np.ndarray): # input: Numpy array assert isinstance(ivdata, np.ndarray), \ 'I-V data should be a Numpy array.' assert ivdata.ndim == 2, 'I-V data should be 2-dimensional.' assert ivdata.shape[1] == 2, 'I-V data should have 2 columns.' vraw, iraw = ivdata.T else: raise ValueError("Input data type not recognized.") # Set units volt_v = vraw * _vfmt_dict[v_fmt] curr_a = iraw * _ifmt_dict[i_fmt] # Basic cleaning volt_v, curr_a = remove_nans_xy(volt_v, curr_a) volt_v, curr_a = _take_one_pass(volt_v, curr_a) volt_v, curr_a = sort_xy(volt_v, curr_a) volt_v, curr_a = remove_doubles_xy(volt_v, curr_a) return volt_v, curr_a # Filter I-V data ------------------------------------------------------------ def _filter_iv_data(volt_v, curr_a, **kw): """Filter I-V data. Rotate, use Savitzky-Golay (SG) filter, then rotate back. This is similar to the technique described in: P. K. Grimes, S. Withington, G. Yassin, and P. Kittara, “Quantum multitone simulations of saturation in SIS mixers,†in Millimeter and Submillimeter Detectors for Astronomy II, 2004, vol. 5498, p. 158-167. Args: volt_v (ndarray): voltage in units V curr_a (ndarray): current in units A Keyword Args: filter_data: filter data filter_nwind: SG filter window size filter_npoly: SG filter order filter_theta: angle to rotate data by during filtering npts: number of points to output Returns: tuple: filtered voltage, filtered current """ # Unpack keyword arguments filter_nwind = kw.get('filter_nwind', PARAMS['filter_nwind']) filter_npoly = kw.get('filter_npoly', PARAMS['filter_npoly']) filter_theta = kw.get('filter_theta', PARAMS['filter_theta']) filter_data = kw.get('filter_data', PARAMS['filter_data']) npts = kw.get('npts', PARAMS['npts']) if not filter_data: # pragma: no cover return volt_v, curr_a # Normalize (temporary) vmax = volt_v.max() imax = curr_a.max() vnorm, inorm = volt_v / vmax, curr_a / imax # Rotate I-V curve x, y = _rotate(vnorm, inorm, -filter_theta) # Resample rotated curve x_resampled = np.linspace(x.min(), x.max(), npts) y_resampled = np.interp(x_resampled, x, y) # Filter using Savitsky-Golay filter y_filtered = savgol_filter(y_resampled, filter_nwind, filter_npoly) # Rotate back to starting position x, y = _rotate(x_resampled, y_filtered, filter_theta) # Resample xtmp = np.linspace(x.min(), x.max(), npts) y = np.interp(xtmp, x, y) x = xtmp # Go back to units [V] and [A] volt_v, curr_a = x * vmax, y * imax return volt_v, curr_a def _rotate(x, y, theta): """Rotate x/y data by angle theta (in radians).""" x_out = np.cos(theta) * x - np.sin(theta) * y y_out = np.sin(theta) * x + np.cos(theta) * y return x_out, y_out # Helper functions to analyze iv data ---------------------------------------- def _take_one_pass(v, i): """Take one pass from experimental data. When I-V curves are measured, the voltage typically sweeps up from zero, then all the way down, then back up to zero. Since hysteretic effects cause the gap voltage to change, this script will automatically grab a single pass. It selects the portion of the sweep where the voltage is sweeping away from zero. This is when the largest gap voltages are measured. The data will need to be sorted afterwards! Args: v (ndarray): voltage i (ndarray): current Returns: tuple: voltage, current """ # TODO: Update -- make more general idx_min, idx_max = v.argmin(), v.argmax() # If data is already sorted if idx_min == 0 and idx_max == len(i) - 1: # pragma: no cover return v, i # If data is already sorted, but in reverse order if idx_max == 0 and idx_min == len(i) - 1: # pragma: no cover return v, i # If the sweep starts in the middle. if idx_max < idx_min: idx_start = np.abs(v[idx_max:idx_min+1] - v[0]).argmin() + idx_max xout = np.r_[v[idx_start:idx_min+1][::-1], v[0:idx_max+1]] yout = np.r_[i[idx_start:idx_min+1][::-1], i[0:idx_max+1]] return xout, yout else: idx_start = np.abs(v[idx_min:idx_max+1] - v[0]).argmin() + idx_min xout = np.r_[v[0:idx_min+1][::-1], v[idx_start:idx_max+1]] yout = np.r_[i[0:idx_min+1][::-1], i[idx_start:idx_max+1]] return xout, yout def _correct_offset(volt_v, curr_a, **kw): """Find and correct any I/V offset. The experimental data often has an offset in both V and I. This can be corrected by using the leakage current. This is found by looking at the derivative and correcting based on where the peak of the derivative is. Args: volt_v (ndarray): voltage, in V curr_a (ndarray): current, in A Keyword Args: voffset: voltage offset, in V ioffset: current offset, in A voffset_range (list): Voltage range over which to search for offset, in units [V]. voffset_sigma: std dev of Gaussian filter when searching for offset Returns: tuple: corrected voltage, corrected current, I/V offset """ # Unpack keyword arguments voffset_range = kw.get('voffset_range', PARAMS['voffset_range']) voffset_sigma = kw.get('voffset_sigma', PARAMS['voffset_sigma']) voffset = kw.get('voffset', PARAMS['voffset']) ioffset = kw.get('ioffset', PARAMS['ioffset']) if voffset is None: # Find voffset and ioffset # Search over a limited voltage range if isinstance(voffset_range, tuple): mask = (voffset_range[0] < volt_v) & (volt_v < voffset_range[1]) else: # if int or float mask = (-voffset_range < volt_v) & (volt_v < voffset_range) v = volt_v[mask] i = curr_a[mask] # Find derivative of I-V curve vstep = v[1] - v[0] sigma = voffset_sigma / vstep der = slope(v, i) der_smooth = gauss_conv(der, sigma=sigma) # Offset is at max derivative idx = der_smooth.argmax() voffset = v[idx] # ioffset = np.interp(voffset, v, i) ioffset = (np.interp(voffset - 0.1e-3, v, i) + np.interp(voffset + 0.1e-3, v, i)) / 2 if ioffset is None: # Find ioffset ioffset = np.interp(voffset, volt_v, curr_a) # Correct for the offset volt_v -= voffset curr_a -= ioffset return volt_v, curr_a, (voffset, ioffset) def _find_normal_resistance(volt_v, curr_a, **kw): """Determine the normal resistance of the DC I-V curve. Args: volt_v (ndarray): voltage, in V curr_a (ndarray): current, in A Keyword Args: vrn (list): Voltage range over which to calculate the normal resistance, in units [V] rn_vmin (float): Lower voltage range to determine the normal resistance, in units [V] (DEPRECATED) rn_vmax (float): Upper voltage range to determine the normal resistance, in units [V] (DEPRECATED) Returns: tuple: normal resistance, intercept voltage """ # Range of voltages over which to calculate the normal resistance rn_vmin = kw.get('rn_vmin', None) # DEPRECATED argument rn_vmax = kw.get('rn_vmax', None) # DEPRECATED argument vrn = kw.get('vrn', None) # voltage range (list) if vrn is not None: # Try to use new argument first rn_vmin = vrn[0] rn_vmax = vrn[1] elif rn_vmin is None or rn_vmax is None: # Use default values if neither are defined rn_vmin = PARAMS['vrn'][0] rn_vmax = PARAMS['vrn'][1] # Range over which to fit normal resistance mask = (rn_vmin < volt_v) & (volt_v < rn_vmax) v, i = volt_v[mask], curr_a[mask] # Fit normal-state resistance p = np.polyfit(v, i, 1) rnslope = p[0] rn = 1 / rnslope vint = -p[1] / rnslope return rn, vint def _find_gap_voltage(volt_v, curr_a, **kw): """Find gap voltage. Args: volt_v (ndarray): voltage, in V curr_a (ndarray): current, in A Keyword Args: vgap_threshold (float): the current at the gap voltage Returns: float: gap voltage """ # Unpack keyword arguments vgap_threshold = kw.get('vgap_threshold', PARAMS['vgap_threshold']) # Method 1: current threshold if vgap_threshold is not None: idx = np.abs(curr_a - vgap_threshold).argmin() vgap = volt_v[idx] return vgap # Method 2: max derivative vstep = volt_v[1] - volt_v[0] mask = (1.5e-3 < volt_v) & (volt_v < 3.5e-3) der = slope(volt_v[mask], curr_a[mask]) der = gauss_conv(der, sigma=0.2e-3 / vstep) vgap = volt_v[mask][der.argmax()] return vgap def _find_subgap_resistance(volt_v, curr_a, **kw): """Find subgap resistance of DC I-V curve. Args: volt_v (ndarray): voltage, in V curr_a (ndarray): current, in A Keyword Args: vrsg: the voltage to calculate the subgap resistance at Returns: float: subgap resistance """ # Unpack keyword arguments vrsg = kw.get('vrsg', PARAMS['vrsg']) mask = (vrsg - 1e-4 < volt_v) & (volt_v < vrsg + 1e-4) p = np.polyfit(volt_v[mask], curr_a[mask], 1) return 1 / p[0] def _correct_series_resistance(vmeas, imeas, **kw): """Remove series resistance from exp data. Args: vmeas (ndarray): measured voltage, in V imeas (ndarray): measured current, in A Keyword Args: rseries (float): series resistance, in ohms Returns: ndarray: corrected voltage, in V ndarray: corrected current, in A """ # Unpack keyword arguments rseries = kw.get('rseries', PARAMS['rseries']) if rseries is None: return vmeas, imeas rstatic = vmeas / imeas rstatic[rstatic < 0] = 0. mask = np.invert(np.isnan(rstatic)) rj = rstatic - rseries v0 = imeas[mask] * rj[mask] idc = imeas.copy()[mask] return v0, idc QMix-1.0.6/qmix/exp/parameters.py000066400000000000000000000305331370151251300166650ustar00rootroot00000000000000""" This module contains a dictionary of parameters (``params``) that is used by ``qmix.exp.RawData`` and ``qmix.exp.RawData0`` to control how experimental data is loaded and analyzed. Note: This dictionary just contains the default values. You can overwrite these values by passing keyword arguments to ``RawData`` or ``RawData0``. For example, the default value for voltage units is millivolts (``"mV"``). You can change this parameter to be microvolts (``"uV"``) by passing ``v_fmt="uV"`` to ``RawData`` or ``RawData0``. Also note that experimental data can be passed to ``RawData0`` and ``RawData`` either as CSV data files or as Numpy arrays. In both cases, the data should have two columns: one for voltage and one for current or IF power, depending on the file. See Example #3 on the QMix website for more information. All of the different parameters are described below along with their default values. **Parameters:** - CSV files: - **Note:** If you are using CSV files, these parameters control how the data is loaded from the CSV files. - ``delimiter = ","`` : The delimiter used by the CSV data files. - ``usecols = (0,1)`` : Which columns to import from the CSV data files. - ``skip_header = 1`` : Number of rows to skip at the beginning CSV data files. (Used to skip the header.) - Units: - ``v_fmt = "mV"`` : Units for imported voltage data. The options are: ``"uV"``, ``"mV"`` and ``"V"``. - ``i_fmt = "mA"`` : Units for imported current data. The options are: ``"uA"``, ``"mA"`` and ``"A"``. - Importing I-V data: - ``vmax = 6e-3`` : Maximum voltage to import in units [V]. Used in case the current is saturated beyond some bias voltage. - ``npts = 6001`` : Number of points to use in the I-V data interpolation. - ``debug = False`` : If set to ``True``, this will plot each step of the I-V data loading and analysis procedure. Note: This will display 4 individual plots for each I-V curve that is loaded, so do not use this if you are looping through multiple files. - Correcting voltage/current offsets: - **Note:** Sometimes there is an offset in the I-V data. The parameters below can be used to correct this. If you know the current and voltage offset, you can define ``ioffset`` and ``voffset``, respectively. Otherwise, ``RawData0`` will attempt to find the offset on its own. This is done by taking the derivative of the DC I-V curve, and then finding the maximum derivative value between ``voffset_range[0]`` and ``voffset_range[1]``. - ``ioffset = None`` : Offset of the DC tunneling current data in units [A]. - ``voffset = None`` : Offset of the DC bias voltage data in units [V]. - ``voffset_range = (-3e-4, 3e-4)`` : Voltage range over which to look for the voltage offset in units [V]. The ``RawData0`` class will look from ``voffset_range[0]`` to ``+voffset_range[1]`` for the voltage offset. - ``voffset_sigma = 1e-5`` : When looking for the voltage offset, smooth the derivative of the DC I-V curve by convolving data with a Gaussian distribution with this standard deviation. - Correcting experimental I-V data: - ``rseries = None`` : Correct for a series resistance in the DC measurement system using this resistance in units [ohms]. Leave as ``None`` if there is no series resistance. - ``i_multiplier = 1.`` : Multiply the imported I-V current by this number. Used to correct for errors in the I-V readout. - ``v_multiplier = 1.`` : Multiply the imported I-V voltage by this number. Used to correct for errors in the I-V readout. - Filtering I-V data: - **Note:** When I-V data is loaded, it is normalized, rotated 45 degrees, filtered using a Savitzky-Golay filter, and then rotated back. (The rotation allows for good filtering without smearing the transition.) The parameters below control this process. - ``filter_data = True`` : Filter the I-V data? - ``filter_theta = 0.785`` : Angle by which to rotate the DC I-V curve before filtering (in radians). - ``filter_nwind = 21`` : Width of the Savitzky-Golay filter. - ``filter_npoly = 3`` : Order of the Savitzky-Golay filter. - Analyzing the DC I-V curve: - ``vgap_threshold = 105e-6`` : Threshold current, in units [A], at which to measure the gap voltage. (Note: the gap voltage is defined here as the voltage at which the DC I-V curve crosses this current value.) - ``vrn = (3.5e-3, 4.5e-3)`` : Voltage range over which to calculate the normal-state resistance, in units [V]. - ``vrsg = 2e-3`` : Voltage at which to measure the subgap resistance, in units [V]. - ``vleak = 2e-3`` : Voltage at which to measure the leakage current, in units [V]. - Analyzing pumped I-V data: - ``analyze_iv = True`` : Analyze the pumped I-V data? This involves a procedure to recover the embedding circuit. - ``fit_range = (0.25, 0.8)`` : Fit interval for impedance recovery, normalized to the width of the first photon step. For example, with ``(0.25, 0.8)``, the impedance recovery procedure will not consider the first 25% of the first step or the last 20%. It will only use the bias voltages between 25% and 80%. This is used to select only the middle of the step. - ``remb_range = (0, 1)`` : Range of embedding resistances to test, normalized to the normal resistance. - ``xemb_range = (-1, 1)`` : Range of embedding reactances to test, normalized to the normal resistance. - ``zemb = None`` : During impedance recovery, force the embedding impedance to be this value (normalized). - ``alpha_max = 1.5`` : Initial guess for the drive level (alpha) during impedance recovery. - ``num_b = 20`` : Maximum number of Bessel functions to include when calculating the tunneling currents. - Importing IF data: - ``ifdata_npts = 3000`` : Number of points to use when interpolating IF data. - Filtering IF data: - ``ifdata_sigma = 1e-5`` : Smooth the measured IF power data by convolving it with a Gaussian distribution. This is the standard deviation, in units [V]. - Analyzing the DC IF data: - **Note:** DC IF data (IF power with no LO injection) is used to measure the IF noise contribution and convert the power units into units of temperature [K]. This is done by fitting a linear trend to the shot noise present in the DC IF data. - ``vshot = None`` : Voltage range over which to fit the shot noise slope, in units [V]. Can be a list of lists to define multiple ranges. For example, to fit the shot noise slope from 4-5 mV and from 6-7 mV, you would pass ``vshot=((4e-3, 5e-3), (6e-3, 7e-3))``. You can break it up this way in case there are Josephson effects present in the IF power data. - Analyzing pumped IF data (noise temperature analysis): - ``analyze_if = True`` : Analyze the IF data? This involves calculating the noise temperature and gain. - ``t_cold = 78.`` : Temperature of the cold load (likely liquid nitrogen), in units [K]. - ``t_hot = 293.`` : Temperature of the hot load (likely room temperature), in units [K]. - ``vbest = None`` : Bias voltage at which to calculate the best noise temperature value. If this value is set to ``None``, the ``RawData`` class will determine the best bias voltage automatically. - ``best_pt = 'Max Gain'`` : Which bias voltage should we select as the best bias? Where the gain is the highest (``'Max Gain'``)? Or the lowest noise temperature (``'Min Tn'``)? - IF response: - ``ifresp_delimiter = '\\t'`` : Delimiter for IF spectrum files. - ``ifresp_usecols = (0, 1, 2)`` : Columns to import from IF spectrum files. The first column should be the frequency, the second should be the IF power from the hot load, and the third should be the IF power from the cold load. - ``ifresp_skipheader = 1`` : Number of rows to skip at the beginning of the IF spectrum file. - ``ifresp_maxtn = 1e6`` : Maximum noise temperature. All values above this value will be set to ``ifresp_maxtn``. - Response function: - **Note:** The ``RawData0`` class generates a response function based on the imported DC I-V data (using ``qmix.respfn.RespFn``). It also generates a second response function that is slightly smeared. This smeared response function is useful for simulations because it simulates a small amount of heating. - ``v_smear = 0.020`` : Voltage smear of the "smeared" response function. - Plotting parameters: - ``vmax_plot = 4.0`` : Maximum bias voltage for plots, in units [mV]. - Junction properties: - ``area = 1.5`` : Area of the SIS junction in units [um^2]. - Local-oscillator (LO) signal: - ``freq = None`` : Frequency of the local-oscillator signal in units [GHz]. - Miscellaneous: - ``comment = ""`` : Add a comment to describe this instance. - ``verbose = True`` : Print information to the terminal. """ params = dict( # CSV files delimiter = ',', usecols = (0, 1), skip_header = 1, # Units v_fmt = 'mV', i_fmt = 'mA', # Importing I-V data vmax = 6e-3, npts = 6001, debug = False, # Correcting voltage/current offsets ioffset = None, voffset = None, # Find voltage offset automatically voffset_range = (-3e-4, 3e-4), voffset_sigma = 1e-5, # Correcting experimental I-V data rseries = None, i_multiplier = 1., v_multiplier = 1., # Importing IF data ifdata_npts = 3000, # Filtering I-V data filter_data = True, filter_theta = 0.785, filter_nwind = 21, filter_npoly = 3, # Filtering IF data ifdata_sigma = 1e-5, # Analyzing data analyze_iv = True, analyze_if = True, analyze = True, # DEPRECATED # Junction properties area = 1.5, freq = None, # Analyzing DC I-V curve vgap_threshold = 105e-6, vrn = (3.5e-3, 4.5e-3), vrsg = 2e-3, vleak = 2e-3, # Analyzing DC IF data vshot = None, # Analyzing pumped I-V data (i.e., impedance recovery) fit_range = (0.25, 0.8), remb_range = (0, 1), xemb_range = (-1, 1), zemb = None, alpha_max = 1.5, num_b = 20, # Analyzing pumped IF data (i.e., noise temperature analysis) t_cold = 78., t_hot = 293., vbest = None, best_pt = 'Max Gain', # Import IF response data ifresp_delimiter = '\t', ifresp_usecols = (0, 1, 2), ifresp_skipheader = 1, ifresp_maxtn = 1e6, # Response function v_smear = 0.020, # Plotting parameters vmax_plot = 4.0, # Miscellaneous comment = '', verbose = True, ) """Default parameters for importing experimental data.""" QMix-1.0.6/qmix/harmonic_balance.py000066400000000000000000000372421370151251300171770ustar00rootroot00000000000000""" This module contains functions to perform harmonic balance of non-linear SIS mixer circuits. **Description** Each signal that is applied to an SIS junction can be represented by a Thevenin equivalent circuit (see qmix.circuit). This circuit will then induce a voltage across the SIS junction. The exact voltage that is induced depends on the impedance of the SIS junction. However, this impedance changes depending on the other signals that are applied to the junction. Harmonic balance is a procedure to solve for the voltage across the SIS junction for each signal that is applied to the junction. This techniques uses Newton's method to find the solution numerically. """ import qmix import numpy as np from timeit import default_timer as timer from qmix.misc.progbar import progress_bar from qmix.qtcurrent import interpolate_respfn, qtcurrent # minimum Thevenin voltage (required to avoid div by 0 errors) MIN_VT = 1e-10 # voltage step for numerical derivatives DV = 1e-3 # round frequency values to this number of decimal places when comparing ROUND_FREQ = 4 # Harmonic Balance ---------------------------------------------------------- # This is the main harmonic balance function. It uses the Newton-Raphson # method to find the solution to the highly non-linear equation. def harmonic_balance(cct, resp, num_b=15, max_it=10, stop_rerror=0.001, vj_initial=None, damp_coeff=1., mode="o", verbose=True, zj_guess=0.67,): """Perform harmonic balance. Determine the harmonic balance of the junction + embedding circuit system. Uses Newton's method to find the solution. For more information, see Garrett (2018); Kittara (2002); Kittara, Winthington & Yassin (2007); or Withington, Kittara & Yassin (2003). [Full references in online docs.] Args: cct (qmix.circuit.EmbeddingCircuit): Embedding circuit resp (qmix.respfn.RespFn): Response function num_b (int/tuple, optional): Summation limits for phase factor coefficients, default is 15 max_it (int, optional): Maximum number of iterations, default is 10 stop_rerror (float, optional): Maximum acceptable relative error, default is 0.001 vj_initial (ndarray, optional): Initial guess of junction voltage (vj), default is None damp_coeff (float, optional): Dampening coefficient for correction factor (0-1), default is 1 mode (string, optional): output vj ('o'), print ('p'), output extra data ('x'), default is "o" verbose (bool, optional): print info to terminal if true, default is True Returns: ndarray: junction voltage that satisfies the circuit """ if verbose: print("Running harmonic balance:") start_time = timer() # Check input data ------------------------------------------------------ num_f = cct.num_f num_p = cct.num_p num_n = cct.num_n npts = cct.vb_npts vt = cct.vt zt = cct.zt # Harmonic balance isn't required if all zt are equal to zero if (zt == 0).all(): if verbose: print("Done.\n") return vt[:, :, None] * np.ones(npts, dtype=complex) # Check whether any Thevenin voltages are zero (prevents div0 errors) ---- vt[np.abs(vt) < MIN_VT] = MIN_VT vt[0, :] = 0 # TODO: is this needed? vt[:, 0] = 0 # Initial guess of the junction voltage (vj) ----------------------------- if vj_initial is None: vj_initial = vt[:, :, None] * \ zj_guess / (zj_guess + zt[:, :, None]) * \ np.ones(npts, dtype=complex) # Prepare input data ---------------------------------------------------- # Note on matrix shapes: Most of the circuit parameters are stored in a # [f, p, vb] format. I.e., the first index is for the tone, the second is # for the harmonic and the third is for the bias voltage. In the harmonic # balance function, I change these to [k, vb] to make the matrix # manipulation easier to understand. Therefore, a 3 tone, 2 harmonic # variable (with shape (3+1) x (2+1) x npts, where npts = length of bias # voltage) will be transformed into a matrix with shape 6 x npts. # Change format of data from [f, p] to [p] (reduce by one dimension) vj_2d = vj_initial[1:, 1:, :].reshape((num_n, npts)) vt_2d = vt[1:, 1:].reshape(num_n) zt_2d = zt[1:, 1:].reshape(num_n) if verbose: print((" - {0} tone(s) and {1} harmonic(s)".format(num_f, num_p))) msg = " - {0} calls to the quasiparticle tunneling current (qtc) function per iteration" print((msg.format(num_n * 2 + 1))) print(" - max. iterations: {}".format(max_it)) # Interpolate response function for all required voltages respfn_interp = interpolate_respfn(cct, resp, num_b) # Perform harmonic balance ----------------------------------------------- iteration = 0 for iteration in range(max_it + 1): # Current vector (junction current) time_current = timer() ij_2d = _qt_current_for_hb(vj_2d, cct, resp, num_b, resp_matrix=respfn_interp) if iteration == 0 and verbose: print("Estimated time:") call_time = timer() - time_current msg = ' - time per qtc call: {:7.2f} s / {:6.2f} min / {:5.2f} hrs' print((msg.format(call_time, call_time/60., call_time/3600.))) it_time = call_time * (num_n * 2 + 1) msg = ' - time per iteration: {:7.2f} s / {:6.2f} min / {:5.2f} hrs' print((msg.format(it_time, it_time/60., it_time/3600.))) max_time = it_time * max_it msg = ' - max sim time: {:7.2f} s / {:6.2f} min / {:5.2f} hrs' print((msg.format(max_time, max_time/60., max_time/3600.))) # Error vector err_all = vt_2d[:, None] - zt_2d[:, None] * ij_2d - vj_2d # Check error at each tone and harmonic if verbose: print(("Error after {0} iteration(s):".format(iteration))) max_rel_error = 0. # initialize maximum relative error of all signals msg = "\tf:{:d}, p:{:d}, med. rel. error: {:9.3f}, max. rel. error: {:9.3f}, {:5.1f} % complete" finished_points = np.ones(npts, dtype=bool) for k in range(num_n): with np.errstate(divide='ignore'): # Check relative error at k abs_error = np.abs(err_all[k, :]) rel_error = abs_error / np.abs(vj_2d[k, :]) max_rel_error = max(np.max(rel_error), max_rel_error) med_rel_error = np.median(abs_error / np.abs(vj_2d[k, :])) good_points = rel_error < stop_rerror finished_points = finished_points & good_points complete = float(np.sum(good_points)) / npts # Print to terminal if verbose: f, p = _k_to_fp(k, num_p) if med_rel_error > 99999.999: _med_rel_error = 99999.999 else: _med_rel_error = med_rel_error if np.max(rel_error) > 99999.999: _rel_error = 99999.999 else: _rel_error = np.max(rel_error) print((msg.format(int(f), int(p), _med_rel_error, _rel_error, complete * 100))) # Exit if the error is good enough if max_rel_error <= stop_rerror: if verbose: print("Done: Minimum error target was achieved.") break # Exit if this is the last iteration if max_rel_error > stop_rerror and iteration == max_it: print("*** DID NOT ACHIEVE TARGET ERROR VALUE ***\n") break # Update junction voltages (i.e., the business end of this function) inv_j = _inv_jacobian(err_all, vj_2d, vt_2d, zt_2d, cct, resp, num_b, resp_matrix=respfn_interp, verbose=verbose) if verbose: print("Applying correction") corr = np.zeros((num_n, npts), dtype=complex) for p in range(num_n): for q in range(num_n): corr[p, :] -= (inv_j[p * 2, q * 2 ] * np.real(err_all[q]) + inv_j[p * 2, q * 2 + 1] * np.imag(err_all[q])) corr[p, :] -= 1j * (inv_j[p * 2 + 1, q * 2 ] * np.real(err_all[q]) + inv_j[p * 2 + 1, q * 2 + 1] * np.imag(err_all[q])) vj_2d += corr * damp_coeff # Format results (from [k,vb] to [f,p,vb]) vj_out = np.zeros((num_f + 1, num_p + 1, npts), dtype=complex) vj_out[1:, 1:, :] = vj_2d.reshape((num_f, num_p, npts)) time = timer() - start_time if verbose: print((" - sim time:\t\t{:7.2f} s / {:6.2f} min / {:5.2f} hrs".format(time, time/60., time/3600.))) if iteration >= 1: tit = time / iteration # time per iteration msg = " - {} iterations required" print((msg.format(iteration))) print((" - time per iteration:\t{:7.2f} s / {:6.2f} min / {:5.2f} hrs".format(tit, tit/60., tit/3600.))) if mode == "o": # return vj return vj_out elif mode == "x": # return vj, number of iterations, and if converged did_not_hit_max_it = iteration != max_it return vj_out, iteration, did_not_hit_max_it elif mode == "m": # return vj and mask return vj_out, finished_points # Check results ------------------------------------------------------------- # Double check the error from the harmonic balance function. This is mainly # for debugging purposes to ensure that everything was done properly. def check_hb_error(vj_check, cct, resp, num_b=15, stop_rerror=0.001): """Check the results from the `harmonic_balance` function. Just to double check. Mostly for debugging purposes. Args: vj_check (ndarray): The voltage across junction to check cct (qmix.circuit.EmbeddingCircuit): Embedding circuit resp (qmix.respfn.RespFn): Response function num_b (optional): Summation limits for phase factor coefficients, default is 15 stop_rerror (float, optional): Maximum acceptable relative error, default is 0.001 Raises: AssertionError: If the stop error is not met """ # Note: speed is not important here... print("Double-checking harmonic balance error:") # Tunnelling current for all tones/harmonics (see below) ij_all = _qtcurrent_all_freq(vj_check, cct, resp, num_b) for f in range(1, cct.num_f + 1): for p in range(1, cct.num_p + 1): error_fp = cct.vt[f, p] - \ cct.zt[f, p] * ij_all[f, p, :] - \ vj_check[f, p, :] max_rel_error = np.max(np.abs(error_fp) / np.abs(vj_check[f, p, :])) good_error = max_rel_error < stop_rerror if good_error: err_str = 'Yes' else: err_str = 'No' msg = "\tf:{0},\tp:{1},\tmax rel. error: {2:.2E},\tPass? {3}" print((msg.format(f, p, max_rel_error, err_str))) assert good_error print("") def _qtcurrent_all_freq(vj, cct, resp, num_b=15): """Calculate the AC tunneling current for all tones and all harmonics. This function will return the tunneling current in a 3-D array: (num_f+1) x (num_p+1) x (npts). This is used in the harmonic balance procedure. Args: vj (ndarray): Voltage across the junction cct (qmix.circuit.EmbeddingCircuit): Embedding circuit class resp (qmix.respfn.RespFn): Response function num_b (int/tuple, optional): Summation limits for phase factor coefficients, default is 15 Returns: ndarray: Quasiparticle tunneling current """ num_f = cct.num_f num_p = cct.num_p npts = cct.vb_npts # Get frequency list with all tones/harmonics represented freq_list = (cct.freq[1:, None] * np.arange(1, num_p + 1)).flatten() current = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False) # Arrange back into a 3D matrix (f x p x vb) current_out = np.zeros((num_f + 1, num_p + 1, npts), dtype=complex) current_out[1:, 1:] = current.reshape((num_f, num_p, npts)) return current_out # Calculate Jacobian matrix and its inverse ---------------------------------- # Calculate the Jacobian matrix and invert it. This is the function that # takes the bulk of the computing time. This requires num_n*2+1 calls to the # non-linear tunneling current calculations. def _inv_jacobian(error_all, vj_2d, vt_2d, zt_2d, cct, resp, num_b, resp_matrix=None, verbose=True): """ Find the inverse Jacobian matrix. Used to update vj.""" num_n = cct.num_n npts = cct.vb_npts jacobian = np.zeros((num_n * 2, num_n * 2, npts), dtype=float) for q in range(num_n): if verbose: progress_bar(q, num_n, prefix="Calculating inverse Jacobian") dvj = np.zeros((num_n, npts), dtype=float) dvj[q, :] = DV # The current at vj+dv (vj for signal 'q' increased by dv) ij_drev = _qt_current_for_hb(vj_2d + dvj, cct, resp, num_b, resp_matrix=resp_matrix) error_drev = vt_2d[:, None] - zt_2d[:, None] * ij_drev - (vj_2d + dvj) # The current at vj+dv (vj for signal 'q' increased by 1j*dv) ij_dimv = _qt_current_for_hb(vj_2d + 1j * dvj, cct, resp, num_b, resp_matrix=resp_matrix) error_dimv = vt_2d[:, None] - zt_2d[:, None] * ij_dimv - (vj_2d + 1j * dvj) # Calculate the 2x2 Jacobian block block = np.zeros((2, 2, npts), dtype=float) for p in range(num_n): block[0, 0, :] = np.real((error_drev - error_all) / DV)[p] block[0, 1, :] = np.real((error_dimv - error_all) / DV)[p] block[1, 0, :] = np.imag((error_drev - error_all) / DV)[p] block[1, 1, :] = np.imag((error_dimv - error_all) / DV)[p] jacobian[p * 2:p * 2 + 2, q * 2:q * 2 + 2, :] = block if verbose: progress_bar(num_n, num_n, prefix="Calculating inverse Jacobian") # Invert the Jacobian matrix # See: https://stackoverflow.com/a/49582794 inv_jacobian = np.linalg.inv(jacobian.transpose(2,0,1)).transpose(1,2,0) return inv_jacobian # Determine mixer current (2D) ------------------------------------------------ def _qt_current_for_hb(vj_2d, cct, resp, num_b, resp_matrix=None): """Calculate the DC and AC tunneling currents required for the harmonic balance function. This function will return the tunneling current for all of the tones and all of the harmonics in a 2-D array. This function is used by the harmonic balance module. Args: vj_2d (ndarray): Junction voltage in a 2-D matrix cct (class): Embedding circuit resp (class): Response function num_b (int/tuple): Summation limits for phase factor coefficients resp_matrix (ndarray): The interpolate response function matrix Returns: ndarray: AC tunneling currents in a matrix """ # 2d [k, i] -> 3d [f, p, i] vj = np.zeros((cct.num_f + 1, cct.num_p + 1, cct.vb_npts), dtype=complex) vj[1:, 1:, :] = vj_2d.reshape((cct.num_f, cct.num_p, cct.vb_npts)) freq_list = [] for ft in range(1, cct.num_f + 1): for pt in range(1, cct.num_p + 1): freq_list.append(round(cct.freq[ft] * pt, ROUND_FREQ)) current_out = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False, resp_matrix=resp_matrix) return current_out # General helper functions -------------------------------------------------- def _k_to_fp(k, num_p): """ Given the index 'k' (i.e., the 1-d index), find the equivalent index in '[f,p]' (i.e., the 2-d index). """ p = (k % num_p) + 1 f = (k + num_p - p + 1) / num_p return f, p QMix-1.0.6/qmix/mathfn/000077500000000000000000000000001370151251300146255ustar00rootroot00000000000000QMix-1.0.6/qmix/mathfn/__init__.py000066400000000000000000000003311370151251300167330ustar00rootroot00000000000000""" This sub-package contains mathematical functions. This includes numerical differentiation, I-V curve models, Kramers-Kronig transforms and various filters. """ from qmix.mathfn.misc import slope, slope_span_n QMix-1.0.6/qmix/mathfn/filters.py000066400000000000000000000025621370151251300166540ustar00rootroot00000000000000""" This sub-module contains filters for cleaning experimental data. """ import numpy as np def gauss_conv(x, sigma=10, ext_x=3): """Smooth data using a Gaussian convolution. Args: x (ndarray): noisy data sigma (float): std. dev. of Gaussian curve, given as number of data points ext_x (float): Gaussian curve will extend from ext_x * sigma in each direction Returns: ndarray: filtered data """ wind = _gauss(sigma, ext_x) wlen = len(wind) assert wlen <= len(x), "Window size must be smaller than data size" assert sigma * ext_x >= 1, \ "Window size must be larger than 1. Increase ext_x." s = np.r_[x[wlen - 1:0:-1], x, x[-2:-wlen - 1:-1]] y_out = np.convolve(wind / wind.sum(), s, mode='valid') y_out = y_out[wlen // 2:-wlen // 2 + 1] return y_out def _gauss(sigma, n_sigma=3): """Generate a discrete, normalized Gaussian centered on zero. Used for filtering data. Args: sigma (float): standard deviation n_sigma (float): extend x in each direction by ext_x * sigma Returns: ndarray: discrete Gaussian curve """ x_range = n_sigma * sigma x = np.arange(-x_range, x_range + 1e-5, 1, dtype=float) y = 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-0.5 * (x / sigma)**2) return y QMix-1.0.6/qmix/mathfn/ivcurve_models.py000066400000000000000000000174071370151251300202360ustar00rootroot00000000000000""" This sub-module contains DC I-V curve models. These models range from simple (e.g., 'perfect' and 'polynomial') to complex (e.g., 'exponential' and 'expanded'). """ import numpy as np # I-V curve models ----------------------------------------------------------- def perfect(voltage): """Generate a perfect I-V curve. This is the ideal I-V curve. The current is equal to 0 when the normalized bias voltage is less than 1, equal to 0.5 when the normalized bias voltage is equal to 1, and equal to the normalized bias voltage otherwise. The current and voltage are normalized to Igap and Vgap, respectively, where Igap=Vgap/Rn is the gap current, Vgap is the gap voltage, and Rn is the normal resistance. Args: voltage (ndarray): normalized bias voltage Returns: ndarray: normalized current """ if isinstance(voltage, np.ndarray): current = np.copy(voltage) current[voltage == 1.] = 0.5 current[voltage == -1.] = -0.5 current[np.abs(voltage) < 1] = 0 return current elif isinstance(voltage, float) or isinstance(voltage, int): if np.abs(voltage) < 1: return 0 if np.abs(voltage) > 1: return voltage if voltage == 1.: return 0.5 if voltage == -1.: return -0.5 def perfect_kk(voltage, max_kk=100.): """Generate Kramers-Kronig transform of the perfect I-V curve. This is an analytic solution. Args: voltage (ndarray): normalized bias voltage max_kk (float, optional): if output is NaN, use this max value instead, default is 100 Returns: ndarray: kk-transform of perfect i-v curve """ if isinstance(voltage, np.ndarray): kk = np.empty_like(voltage, dtype=float) mask = np.abs(voltage) != 1. kk[mask] = (-1 / np.pi * (2 + voltage[mask] * (np.log(np.abs((voltage[mask] - 1) / (voltage[mask] + 1)))))) # np.log(v-1) will cause result=Nan at v=-1 and v=1 # replace with max value instead kk[np.invert(mask)] = max_kk return kk elif isinstance(voltage, float) or isinstance(voltage, int): if abs(voltage) == 1.: return max_kk else: return -1 / np.pi * (2 + voltage * (np.log(abs((voltage - 1) / (voltage + 1))))) def polynomial(voltage, order=50): """Generate the polynomial I-V curve model. From Kennedy (1999) [see full references in online docs]. Args: voltage (ndarray): normalized bias voltage order (float): order of polynomial (usually between 30 and 50) Returns: ndarray: normalized current """ current = voltage ** (2 * order + 1) / (1 + voltage ** (2 * order)) return current def exponential(voltage, vgap=2.8e-3, rn=14., rsg=300., agap=4e4, model='fixed'): """The exponential I-V curve model that is used in some papers from Chalmers. From Rashid et al. (2016) [see full references in online docs]. Note: - The equation from this paper will result in an I-V curve that has a subgap resistance that is half the value that it is supposed to be. - The normal resistance will also be slightly lower than it is supposed to be. - I fixed this model. This model can be selected by setting ``model='fixed'``. The original model can be selected by setting ``model='original'``. Args: voltage (ndarray): normalized bias voltage vgap (float, optional): gap voltage, in units [V], default is 2.8e-3 rn (float, optional): normal resistance, in units [ohms], default is 14 rsg (float, optional): sub-gap resistance, in units [ohms], default is 300 agap (float, optional): gap linearity coefficient (typically around 4e4), default is 4e4 model (str, optional): model to used (either 'fixed' or 'original'), default is "fixed" Returns: ndarray: normalized current """ igap = vgap / rn v_v = voltage * vgap # voltage in units [V] if model.lower() == 'fixed' or model.lower() == 'corrected': np.seterr(over='ignore') i_a = ( # Sub-gap resistance v_v / (rsg * 2) * (1 / (1 + np.exp(-agap * (v_v + vgap)))) - v_v / (rsg * 2) * (1 / (1 + np.exp(agap * (v_v + vgap)))) - v_v / (rsg * 2) * (1 / (1 + np.exp(-agap * (v_v - vgap)))) + v_v / (rsg * 2) * (1 / (1 + np.exp(agap * (v_v - vgap)))) + # Normal resistance v_v / rn * (1 / (1 + np.exp(agap * (v_v + vgap)))) + v_v / rn * (1 / (1 + np.exp(-agap * (v_v - vgap))))) return i_a / igap elif model.lower() == 'original': np.seterr(over='ignore') i_a = ( # Sub-gap resistance v_v / rsg * (1 / (1 + np.exp(-agap * (v_v + vgap)))) + v_v / rsg * (1 / (1 + np.exp(agap * (v_v - vgap)))) + # Normal resistance v_v / rn * (1 / (1 + np.exp(agap * (v_v + vgap)))) + v_v / rn * (1 / (1 + np.exp(-agap * (v_v - vgap))))) return i_a / igap else: raise ValueError("Model not recognized.") def expanded(voltage, vgap=2.8e-3, rn=14., rsg=5e2, agap=4e4, a0=1e4, ileak=5e-6, vnot=2.85e-3, inot=1e-5, anot=2e4, ioff=1e-5): """My "expanded" I-V curve model. This model is based on the exponential I-V curve model, but I have added the ability to include leakage current, the proximity effect, the onset of thermal tunnelling, and the reduced current amplitude often seen above the gap. It is able to recreate experimental data very well, but it is very complex. Args: voltage (ndarray): normalized bias voltage vgap (float, optional): gap voltage, in units [V], default is 2.8e-3 rn (float, optional): normal resistance, in units [ohms], default is 14 rsg (float, optional): sub-gap resistance, in units [ohms], default is 5e2 agap (float, optional): gap linearity coefficient, default is 4e4 a0 (float, optional): linearity coefficient at the origin, default is 1e4 ileak (float, optional): amplitude of leakage current, default is 5e-6 vnot (float, optional): notch location, in units [V], default is 2.85e-3 inot (float, optional): notch current amplitude, in units [A], default is 1e-5 anot (float, optional): linearity of notch, default is 2e4 ioff (float, optional): current offset, default is 1e-5 Returns: ndarray: normalized current """ v_v = voltage * vgap igap = vgap / rn np.seterr(over='ignore') i_a = ( # Leakage current ileak * 2 * (1 / (1 + np.exp(-a0 * v_v))) - ileak * np.ones_like(voltage) - ileak * (1 / (1 + np.exp(-agap * (v_v - vgap)))) + ileak * (1 / (1 + np.exp(agap * (v_v + vgap)))) + # Sub-gap resistance v_v / (rsg * 2) * (1 / (1 + np.exp(-agap * (v_v + vgap)))) - v_v / (rsg * 2) * (1 / (1 + np.exp(agap * (v_v + vgap)))) - v_v / (rsg * 2) * (1 / (1 + np.exp(-agap * (v_v - vgap)))) + v_v / (rsg * 2) * (1 / (1 + np.exp(agap * (v_v - vgap)))) + # Transition and normal resistance v_v / rn * (1 / (1 + np.exp(agap * (v_v + vgap)))) + v_v / rn * (1 / (1 + np.exp(-agap * (v_v - vgap)))) + # Notch above gap (proximity effect) inot / (1 + np.exp(anot * (v_v - vnot))) + inot / (1 + np.exp(anot * (v_v + vnot))) - inot + # Current offset seen above the gap ioff / (1 + np.exp(agap * (v_v - vgap))) + ioff / (1 + np.exp(agap * (v_v + vgap))) - ioff + 0) return i_a / igap QMix-1.0.6/qmix/mathfn/kktrans.py000066400000000000000000000035221370151251300166560ustar00rootroot00000000000000""" This sub-module contains functions to generate the Kramers-Kronig transform of DC I-V data. Used to find the real component of the response function from the DC I-V curve. """ import numpy as np from scipy.signal import hilbert def kk_trans(v, i, n=50): """Calculate the Kramers-Kronig transform from DC I-V data. Note: Voltage spacing must be constant! Args: v (ndarray): normalized voltage (DC I-V curve) i (ndarray): normalized current (DC I-V curve) n (int): padding for Hilbert transform Returns: ndarray: kk transform """ npts = v.shape[0] # Ensure v has (roughly) even spacing assert np.abs((v[1] - v[0]) - (v[1:] - v[:-1])).max() < 1e-5 # Subtract v to make kk defined at v=infinity ikk = -(hilbert(i - v, N=npts * n)).imag ikk = ikk[:npts] return ikk def kk_trans_trapz(v, i): """Calculate the Kramers-Kronig transform using a simple trapezoidal summation. This function isn't used anymore, but it is nice to use it to compare against qmix.mathfn.kktrans.kk_trans. Note: Voltage spacing must be constant! This function is (much!) slower than the Hilbert transform version (i.e., qmix.mathfn.kktrans.kk_trans). It also has problems with how it is calculated around the singularity. Args: v (ndarray): normalized voltage (DC I-V curve) i (ndarray): normalized current (DC I-V curve) Returns: ndarray: kk transform """ # Ensure v has even spacing assert ((v[1:] - v[:-1]) - (v[1] - v[0])).max() < 1e-5 # very crude integration ikk = [] for a in range(len(v)): v_prime, i_prime = np.delete(v, a), np.delete(i, a) ikk.append(np.trapz((i_prime - v_prime) / (v_prime - v[a]), x=v_prime)) ikk = np.array(ikk) / np.pi return ikk QMix-1.0.6/qmix/mathfn/misc.py000066400000000000000000000034451370151251300161400ustar00rootroot00000000000000""" This sub-module contains various mathematical functions that do various things, variously. """ import numpy as np def slope(x, y): """ Take a simple derivative, dy/dx. The derivative is centered and it has the same number of points as the original x/y data. Args: x (ndarray): x data y (ndarray): y data Returns: ndarray: derivative """ der = np.zeros(len(x), dtype=float) rise = y[2:] - y[:-2] run = x[2:] - x[:-2] with np.errstate(divide='ignore'): der[1:-1] = rise / run der[0] = (y[1] - y[0]) / (x[1] - x[0]) der[-1] = (y[-1] - y[-2]) / (x[-1] - x[-2]) return der def slope_span_n(x, y, n=11, nozeros=True): """Simple derivative, except the derivative is over a -N/2 to N/2 span. This helps with noisy data. This function also deletes zero values since the results of this function are usually used to divide other values (i.e., to avoid div. 0 errors). Args: x (ndarray): x data y (ndarray): y data n (int, optional): span, must be odd, default is 11 nozeros (bool, optional): don't allow der=0 results, default is True Returns: ndarray: derivative """ assert n % 2 == 1, "N must be odd." n = (n - 1) // 2 der = np.zeros(len(x), dtype=float) rise = y[2 * n + 1:] - y[:-2 * n - 1] run = x[2 * n + 1:] - x[:-2 * n - 1] with np.errstate(divide='ignore'): der[n + 1:-n] = rise / run for n in range(1, n + 1): rise = y[2 * n + 1:] - y[:-2 * n - 1] run = x[2 * n + 1:] - x[:-2 * n - 1] der[n] = rise[n] / run[n] der[-n] = rise[-n] / run[-n] der[0] = der[1] der[-1] = der[-2] if nozeros: der[der == 0] = 1e-10 return der QMix-1.0.6/qmix/misc/000077500000000000000000000000001370151251300143035ustar00rootroot00000000000000QMix-1.0.6/qmix/misc/__init__.py000066400000000000000000000000711370151251300164120ustar00rootroot00000000000000""" This sub-package contains miscellaneous modules. """ QMix-1.0.6/qmix/misc/progbar.py000066400000000000000000000022031370151251300163060ustar00rootroot00000000000000""" This sub-module contains a function for printing a progress bar to the terminal. Taken from: http://stackoverflow.com/questions/3173320/text-progress-bar-in-the-console """ import sys def progress_bar(iteration, total, prefix='Progress:', suffix='Complete', decimals=2, bar_length=20): """Generate a progress bar. Args: iteration (int): current iteration total (int): total iterations prefix (str, optional): prefix string, default is "Progress:" suffix (str, optional): suffix string, default is "Complete" decimals (int, optional): number of decimals in percent complete, default is 2 bar_length (int, optional): character length of bar, default is 20 """ filled_length = int(round(bar_length * iteration / float(total))) pcent = round(100.00 * (iteration / float(total)), decimals) pbar = '-' * filled_length + ' ' * (bar_length - filled_length) sys.stdout.write('\r%s |%s| %s%s %s' % (prefix, pbar, pcent, '%', suffix)), sys.stdout.flush() if iteration == total: sys.stdout.write('\n') sys.stdout.flush() QMix-1.0.6/qmix/misc/terminal.py000066400000000000000000000126051370151251300164740ustar00rootroot00000000000000""" This sub-module contains functions for printing numbers and text to the terminal. """ import os def print_intro(): # pragma: no cover """ Print a quick intro to the terminal. """ os.system('clear') print("\nWelcome to") art = """ ,ad8888ba, 88b d88 88 d8"' `"8b 888b d888 "" d8' `8b 88`8b d8'88 88 88 88 `8b d8' 88 88 8b, ,d8 88 88 88 `8b d8' 88 88 `Y8, ,8P' Y8, "88,,8P 88 `8b d8' 88 88 )888( Y8a. Y88P 88 `888' 88 88 ,d8" "8b, `"Y8888Y"Y8a 88 `8' 88 88 8P' `Y8 """ intro = """ *** SIS Mixer Analysis Software *** """ cprint(art, color='MAGENTA') print(intro) def cprint(text, color='HEADER'): # pragma: no cover """ Print colored text to the terminal. Args: text (str): Text to print color (str, optional): Color/style to print in, default is "HEADER" """ if color is None: print(text) else: try: tcolour = _terminal_colors[color.upper()] print((tcolour + text + _terminal_colors['ENDC'])) except KeyError: print("\'color\' must be one of:") print((sorted(_terminal_colors.keys()))) print(text, color) return # Titles --------------------------------------------------------------------- def title(title_string, color=None, total_len=60): # pragma: no cover """ Print a nice title to the terminal. Args: title_string (str): title to print color (str, optional): Color to print in, default is None total_len (int, optional): Total length of title string (including stars), default is 60 """ minus_title = total_len - len(title_string) - 2 if minus_title % 2 == 0: left = minus_title // 2 right = minus_title // 2 else: left = minus_title // 2 right = minus_title // 2 + 1 title_string = " " + title_string + " " title_string = "*" * left + title_string + "*" * right + "\n" cprint(title_string, color) def header(header_string, color=None): # pragma: no cover """ Print a nice header to the terminal. Args: header_string (str): Header title to print color (str, optional): Color to print in, default is None """ cprint("\t" + header_string + ":", color) cprint("\t" + "-" * 50) # Print numbers to the terminal in a nice way -------------------------------- def pvalf(name, val, units='', comment='', color=None): # pragma: no cover """ Print name, value as float, and units to terminal. Args: name (str): variable name val (float): variable value units (str, optional): variable units, default is "" comment (str, optional): comment, default is "" color (str, optional): color, default is None """ if units != '': units = '\t[' + units + ']' if comment != '': comment = " # {0}".format(comment) if isinstance(val, complex): re = val.real im = val.imag if val.imag < 0: str_tmp = "\t{0:15s} = {1:7.3f} - j{2:7.3f}{3:15s}{4}" else: str_tmp = "\t{0:15s} = {1:7.3f} + j{2:7.3f}{3:15s}{4}" cprint(str_tmp.format(name, re, abs(im), units, comment), color) else: str_tmp = "\t{0:15s} = {1:7.3f}\t{2:15s}{3}" cprint(str_tmp.format(name, val, units, comment), color) def pvale(name, val, units='', comment='', color=None): # pragma: no cover """ Print name, value in scientific notation and units to terminal. Args: name (str): variable name val (float): variable value units (str, optional): variable units, default is "" comment (str, optional): comment, default is "" color (str, optional): color, default is None """ if units != '': if isinstance(val, complex): units = '\t[' + units + ']' else: units = '\t\t[' + units + ']' if comment != '': comment = "\t\t# {0}".format(comment) str_tmp = "\t{0:15s} = {1:7.1e}{2:15s}{3}" cprint(str_tmp.format(name, val, units, comment), color) # Color dictionary for the terminal ------------------------------------------ _terminal_colors = { # colours 'CYAN': '\033[36m', 'MAGENTA': '\033[35m', 'PINK': '\033[95m', 'BLUE': '\033[94m', 'GREEN': '\033[92m', 'YELLOW': '\033[93m', 'RED': '\033[91m', # structured colours 'HEADER': '\033[95m', # pink 'HEADER1': '\033[95m', # pink 'HEADER2': '\033[36m', # cyan 'HEADER3': '\033[92m', # green 'OKBLUE': '\033[94m', # blue 'OKGREEN': '\033[92m', # green 'WARNING': '\033[93m', # yellow 'FAIL': '\033[91m', # red # other 'BOLD': '\033[1m', 'UNDERLINE': '\033[4m', 'INVERSE': '\033[7m', 'BLINK': '\033[5m', # end of color 'ENDC': '\033[0m' } # Print complex -------------------------------------------------------------- def printc(complex_number): # pragma: no cover """Print a complex number to the terminal. Args: complex_number (complex): number to print """ if complex_number.imag >= 0: sign = '+' else: sign = '-' return str("{:+6.2f} {} j{:5.2f}".format(complex_number.real, sign, complex_number.imag)) QMix-1.0.6/qmix/qtcurrent.py000066400000000000000000000743301370151251300157600ustar00rootroot00000000000000""" This module contains functions to calculate the quasiparticle tunneling currents passing through an SIS junction. Description: Given the voltages applied across an SIS junction, the quasiparticle tunneling currents can be calculated using multi-tone spectral domain analysis (MTSDA; see references in online docs). Note: This code is largely based on P. Kittara's 2002 DPhil thesis (see references in online docs). I include some inline comments to refer to specific equations. Also, all of the values in this module are normalized, i.e., voltages are normalized to the gap voltage, frequencies are normalized to the gap frequency, etc. """ from timeit import default_timer as timer import numba as nb import numpy as np from scipy.special import jv as bessel # round frequency values to this number of decimal places # required when comparing frequency to frequency_list ROUND_FREQ = 4 # Determine the dc/ac tunneling currents ------------------------------------- def qtcurrent(vj, cct, resp, freq_list, num_b=15, verbose=True, resp_matrix=None): """Calculate the quasiparticle tunneling current. This function uses multi-tone spectral domain analysis (MTSDA; see references in online docs). The current is calculated based on the voltage applied across the junction (vj). Note: This function will return the tunneling current for all of the frequencies listed in freq_list (normalized to the gap frequency). E.g., to solve for the dc tunneling current and the ac tunneling current at 230 GHz, the ``freq_list`` would be ``[0, 230e9 / fgap]`` where ``fgap`` is the gap frequency. Maximum of 4 non-harmonically related tones. Args: vj (ndarray): Voltage across the SIS junction cct (qmix.circuit.EmbeddingCircuit): Embedding circuit resp (qmix.respfn.RespFn): Response function freq_list: Calculate the tunneling currents for these frequencies (normalized to the gap frequency) num_b (float/tuple, optional): Summation limits for phase factor coefficients, default is 15 verbose (bool, optional): Print info to the terminal if true, default is True resp_matrix (ndarray, optional): The interpolated response function matrix, generated by interpolate_respfn(), default is None Returns: ndarray: Quasiparticle tunneling current """ # Load, prepare and check input data ------------------------------------- num_f = cct.num_f # number of frequencies num_p = cct.num_p # number of harmonics npts = cct.vb_npts # number of bias voltages assert cct.freq[1:].min() > 0., "All freq must be > 0!" # TODO: there must be a better way... try: freq_list = list(freq_list) freq_is_list = True except TypeError: freq_list = [float(freq_list)] freq_is_list = False # TODO: there must be a better way... for i, freq_val in enumerate(freq_list): freq_list[i] = round(freq_val, ROUND_FREQ) freq_npts = len(freq_list) freq = cct.freq nb_list = _unpack_num_b(num_b, num_f) if verbose: print("Calculating tunneling current...") print(" - {0} tone(s)".format(cct.num_f)) print(" - {0} harmonic(s)".format(cct.num_p)) start_time = timer() # Convolution coefficients ------------------------------------------------ ccc = calculate_phase_factor_coeff(vj, freq, num_f, num_p, num_b) # Interpolate response function ------------------------------------------ if resp_matrix is None: resp_matrix = interpolate_respfn(cct, resp, num_b) else: assert resp_matrix.ndim == num_f + 1 assert resp_matrix.shape[-1] == npts # Call the correct function depending on the number of tones--------------- current_out = np.zeros((freq_npts, cct.vb_npts), dtype=complex) if num_f == 1: for i in range(freq_npts): current_out[i] = _current_1_tone(freq_list[i], ccc, freq, resp_matrix, num_p, npts, *nb_list) elif num_f == 2: for i in range(freq_npts): current_out[i] = _current_2_tones(freq_list[i], ccc, freq, resp_matrix, num_p, npts, *nb_list) elif num_f == 3: for i in range(freq_npts): current_out[i] = _current_3_tones(freq_list[i], ccc, freq, resp_matrix, num_p, npts, *nb_list) elif num_f == 4: for i in range(freq_npts): current_out[i] = _current_4_tones(freq_list[i], ccc, freq, resp_matrix, num_p, npts, *nb_list) # Done -------------------------------------------------------------------- if verbose: print("Done.") print("Time: {0:.4f} s\n".format(timer() - start_time)) if freq_is_list: return current_out else: if freq_list[0] == 0.: return current_out[0].real else: return current_out[0] # Response function matrices -------------------------------------------------- # The response function (the dc I-V curve and it's KK transform) needs to be # repeatedly interpolated in this module. The functions below do all of the # necessary interpolations all at once to save time. # # Note: Interpolating the response function is one of the most time consuming # operations within this module. # # Two different methods are used below to generate the interpolation voltages: # - one using loops # - one without # I've spent some time optimizing each and using the correct method for each # number of tones. # # Runs once per qtcurrent function call # TODO: write better tests for this function def interpolate_respfn(cct, resp, num_b): """Interpolate the response function at all necessary voltages. I have included this as a stand-alone function because if you are going to be running ``qtcurrent`` over and over again with the same input signal frequencies, it can save time by pre-interpolating the response function. Args: cct (qmix.circuit.EmbeddingCircuit): Embedding circuit resp (qmix.respfn.RespFn): Response function num_b (int/tuple): Summation limits for phase factor coefficients Returns: ndarray: The interpolated response function as a matrix. """ nb_list = _unpack_num_b(num_b, cct.num_f) if cct.num_f == 1: resp_matrix = _interpolate_respfn_1_tone(resp, cct.vb, cct.freq, *nb_list) elif cct.num_f == 2: resp_matrix = _interpolate_respfn_2_tone(resp, cct.vb, cct.freq, *nb_list) elif cct.num_f == 3: resp_matrix = _interpolate_respfn_3_tone(resp, cct.vb, cct.freq, *nb_list) elif cct.num_f == 4: resp_matrix = _interpolate_respfn_4_tone(resp, cct.vb, cct.freq, *nb_list) else: print("num_f must be 1, 2, 3 or 4!") raise ValueError return resp_matrix def _interpolate_respfn_1_tone(resp, vb, freq, num_b1): """Interpolate the response function (1 tone). Args: resp (qmix.respfn.RespFn): Response function vb (ndarray): Bias voltages, normalized freq (ndarray): Frequencies, normalized num_b1 (int): Summation limits for phase factor coefficients Returns: ndarray: Response function, interpolated """ npts = len(vb) k_npts = num_b1 * 2 + 1 vb_tmp = vb[None, :] * np.ones(k_npts)[:, None] ind = np.r_[np.arange(0, num_b1+1), np.arange(-num_b1, 0)] k_array = ind[:, None] * np.ones(npts, dtype=int)[None, :] resp_out = resp(vb_tmp + k_array * freq[1]) # # DEBUG # print k_array[:,0] # print len(k_array[0,:]) # print " {} -> {}".format(-num_b1, k_array[-num_b1][0]) # print " 0 -> {}".format(k_array[0][0]) # print " {} -> {}".format(num_b1, k_array[num_b1][0]) return resp_out def _interpolate_respfn_2_tone(resp, vb, freq, num_b1, num_b2): """Interpolate the response function (2 tones). Args: resp (qmix.respfn.RespFn): Response function vb (ndarray): Bias voltages, normalized freq (ndarray): Frequencies, normalized num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) Returns: ndarray: Response function, interpolated """ npts = len(vb) k_npts = num_b1 * 2 + 1 l_npts = num_b2 * 2 + 1 ind = np.r_[np.arange(0, num_b1 + 1), np.arange(-num_b1, 0)] k_array = ind[:, None, None] * np.ones((l_npts, npts), dtype=int)[None, :, :] ind = np.r_[np.arange(0, num_b2 + 1), np.arange(-num_b2, 0)] l_array = ind[None, :, None] * np.ones((k_npts, npts), dtype=int)[:, None, :] vb_tmp = vb[None, None, :] * np.ones((k_npts, l_npts))[:, :, None] resp_out = resp(vb_tmp + k_array * freq[1] + l_array * freq[2]) # # DEBUG # print k_array[:,0,0] # print " {} -> {}".format(-num_b1, k_array[-num_b1][0,0]) # print " {} -> {}".format(0, k_array[0][0,0]) # print " {} -> {}".format(num_b1, k_array[num_b1][0,0]) # print l_array[0,:,0] # print " {} -> {}".format(-num_b2, l_array[:,-num_b2][0,0]) # print " {} -> {}".format(0, l_array[:,0][0,0]) # print " {} -> {}".format(num_b2, l_array[:,num_b2][0,0]) return resp_out def _interpolate_respfn_3_tone(resp, vb, freq, num_b1, num_b2, num_b3): """Interpolate the response function (3 tones). Args: resp (qmix.respfn.RespFn): Response function vb (ndarray): Bias voltages, normalized freq (ndarray): Frequencies, normalized num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) Returns: ndarray: Response function, interpolated """ npts = len(vb) voltage = np.zeros((num_b1 * 2 + 1, num_b2 * 2 + 1, num_b3 * 2 + 1, npts)) for k in range(-num_b1, num_b1 + 1): for l in range(-num_b2, num_b2 + 1): for m in range(-num_b3, num_b3 + 1): voltage[k, l, m] = vb + k * freq[1] + l * freq[2] + m * freq[3] resp_out = resp(voltage) return resp_out def _interpolate_respfn_4_tone(resp, vb, freq, num_b1, num_b2, num_b3, num_b4): """Interpolate the response function (3 tones). Args: resp (qmix.respfn.RespFn): Response function vb (ndarray): Bias voltages, normalized freq (ndarray): Frequencies, normalized num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) num_b4 (int): Summation limits for phase factor coefficients (tone 4) Returns: ndarray: Response function, interpolated """ npts = len(vb) voltage = np.zeros((num_b1 * 2 + 1, num_b2 * 2 + 1, num_b3 * 2 + 1, num_b4 * 2 + 1, npts)) for k in range(-num_b1, num_b1 + 1): for l in range(-num_b2, num_b2 + 1): for m in range(-num_b3, num_b3 + 1): for n in range(-num_b4, num_b4 + 1): voltage[k, l, m, n, :] = vb + k * freq[1] + l * freq[2] + m * freq[3] + n * freq[4] resp_out = resp(voltage) return resp_out # Calculate the overall phase factor spectrum coefficients ------------------- def calculate_phase_factor_coeff(vj, freq, num_f, num_p, num_b): """Calculate the overall phase factor spectrum coefficients. Runs once per qtcurrent function call. Eqns. 5.7 and 5.12 in Kittara's thesis. Args: vj (ndarray): Voltage across the SIS junction freq (ndarray): Frequencies num_f (int): Number of non-harmonically related frequencies num_p (int): Number of harmonics num_b (int): Summation limits for phase factor coefficients Returns: ndarray: Phase factor spectrum coefficients (C_k(H) in Kittara) """ # Number of bias voltage points npts = len(vj[0, 0, :]) # Summation limits for phase factor coefficients if isinstance(num_b, int): num_b = tuple([num_b] * num_f) # Junction drive level: # alpha[f, p, i] in R^(num_f+1)(num_p+1)(npts) # Eqn. 5.5 in Kittara's thesis alpha = np.zeros_like(vj, dtype=float) for f in range(1, num_f + 1): for p in range(1, num_p + 1): alpha[f, p, :] = np.abs(vj[f, p, :]) / (p * freq[f]) # Junction voltage phase: # phi[f, p, i] in R^(num_f+1)(num_p+1)(npts) phi = np.angle(vj) # in radians # Complex coefficients from the Jacobi-Anger equality: # jac[f, p, n, i] in C^(num_f+1)(num_p+1)(num_b*2+1)(npts) # Equation 5.7 in Kittara's thesis # Note: This chunk of code dominates the computation time of this function # I tried using the recurrence relation, but ran into numerical errors jac = np.zeros((num_f + 1, num_p + 1, max(num_b) * 2 + 1, npts), dtype=complex) for f in range(1, num_f + 1): for p in range(1, num_p + 1): jac[f, p, 0] = bessel(0, alpha[f, p]) for n in range(1, num_b[f - 1] + 1): # using Bessel function identity jn = bessel(n, alpha[f, p]) jac[f, p, n] = jn * np.exp(-1j * n * phi[f, p]) jac[f, p, -n] = (-1)**n * np.conj(jac[f, p, n]) # Overall phase factor coefficients: # ckh[f, k, i] in C^(num_f+1)(num_b*2+1)(npts) ckh = _convolve_coefficients(jac) return ckh @nb.njit("c16[:,:,:](c16[:,:,:,:])") def _convolve_coefficients(jac): # pragma: no cover """Convolve spectrum coefficients (recursively). See Withington and Kollberg, 1989. This function is only used if there are higher-order harmonics (num_p > 1). Calculation time is proportional to num_p. Eqn. 5.12 in Kittara's thesis. Args: jac (ndarray): Complex coefficients from the Jacobi-Anger equality (Eqn. 5.7 in Kittara's thesis) Returns: ndarray: Overall phase factor spectrum coefficients """ _, num_p, num_b, _ = jac.shape num_p -= 1 # number of harmonics num_b = (num_b - 1) // 2 # number of bessel functions ckh_last = jac[:, 1, :, :] if num_p == 1: return ckh_last for p in range(2, num_p + 1): ckh_next = np.zeros_like(ckh_last) for k in range(-num_b, num_b + 1): # Don't exceed indices l_min = max(-num_b, int((k - num_b) / p)) l_max = min( num_b, int((k + num_b) / p)) for l in range(l_min, l_max + 1): ckh_next[1:, k] += ckh_last[1:, k - p * l] * jac[1:, p, l] ckh_last = ckh_next return ckh_last # Tunneling current functions ------------------------------------------------ # These are the functions that actually calculate the tunneling current. # Different functions are provided for different numbers of tones. They are # all built the same way except that every additional tone will add another # layer of coefficients and for-loops. # TODO: optimize further, vectorize for loops (?) # TODO: write general function, for any number of tones def _current_1_tone(freq_out, ccc, freq, resp_matrix, num_p, npts, num_b1): """Calculate the tunneling current at a specific frequency. One tone. Frequency is normalized to the gap frequency. Args: freq_out (float): frequencies of output values ccc (ndarray): convolution coefficients freq (ndarray): frequencies resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_p (int): Number of harmonics npts (int): Number of bias voltage points num_b1 (int): Summation limits for phase factor coefficients (tone 1) Returns: ndarray: Tunneling current at specified frequency """ freq_out = round(freq_out, ROUND_FREQ) current_out = np.zeros(npts, dtype=complex) for a in range(num_p, -(num_p + 1), -1): freq_a = round(a * freq[1], ROUND_FREQ) if freq_a == freq_out: current_out += _current_coeff_1_tone(a, ccc, resp_matrix, num_b1, npts) return current_out @nb.njit("c16[:](i4, c16[:,:,:], c16[:,:], i4, i4)") def _current_coeff_1_tone(a, ccc, resp_matrix, num_b1, npts): # pragma: no cover """Calculate the tunneling current coefficient (for 1 tone). Calculate (I(a)) for a one tone system. Equations 5.25 and 5.26 in Kittara's thesis. Args: a (int): Index a in Eqn. 5.25 ccc (ndarray): Convolution coefficient resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_b1 (int): Summation limits for phase factor coefficients (tone 1) npts (int): Number of bias voltage points Returns: ndarray: Tunneling current coefficient """ # Equation 5.17 rs_p = np.zeros(npts, dtype=np.complex128) # positive coefficients rs_m = np.zeros(npts, dtype=np.complex128) # negative coefficients ccc_conj = np.conj(ccc[1]) for k in range(-num_b1, num_b1 + 1): if -num_b1 <= k + a <= num_b1: rs_p += ccc[1, k, :] * ccc_conj[k + a, :] * resp_matrix[k] if -num_b1 <= k - a <= num_b1: rs_m += ccc[1, k, :] * ccc_conj[k - a, :] * resp_matrix[k] # Calculate current coefficient: equation 5.26 if a == 0: return rs_p.imag + 1j * 0 else: return (rs_p.imag + rs_m.imag) - 1j * (rs_p.real - rs_m.real) def _current_2_tones(freq_out, ccc, freq, resp_matrix, num_p, npts, num_b1, num_b2): """Calculate the tunneling current at a specific frequency. Two tones. Frequency is normalized to the gap frequency. Args: freq_out (float): frequency to solve for ccc (ndarray): convolution coefficients freq (ndarray): frequencies resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_p (int): Number of harmonics npts (int): Number of bias voltage points num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) Returns: ndarray: Tunneling current at specified frequency """ freq_out = round(freq_out, ROUND_FREQ) current_out = np.zeros(npts, dtype=complex) for a in range(num_p, -(num_p + 1), -1): for b in range(num_p, -(num_p + 1), -1): freq_ab = round(a * freq[1] + b * freq[2], ROUND_FREQ) if freq_ab == freq_out: current_out += _current_coeff_2_tones(a, b, ccc, resp_matrix, num_b1, num_b2, npts) return current_out @nb.njit("c16[:](i4, i4, c16[:,:,:], c16[:,:,:], i4, i4, i4)") def _current_coeff_2_tones(a, b, ccc, resp_matrix, num_b1, num_b2, npts): # pragma: no cover """Calculate the tunneling current coefficient (for 2 tones). Calculate (I(a,b)) for a two tone system (i.e., for an (a,b) combination versus calculating the entire matrix for every (a,b) pair). Equations 5.25 and 5.26 in Kittara's thesis. Args: a (int): Index a in Eqn. 5.25 b (int): Index b in Eqn. 5.25 ccc (ndarray): Convolution coefficient resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) npts (int): Number of bias voltage points Returns: ndarray: Tunneling current coefficient """ # Equation 5.25 rs_p = np.zeros(npts, dtype=np.complex128) rs_m = np.zeros(npts, dtype=np.complex128) ccc_conj = np.conj(ccc) for k in range(-num_b1, num_b1 + 1): for l in range(-num_b2, num_b2 + 1): if -num_b1 <= k + a <= num_b1 and \ -num_b2 <= l + b <= num_b2: rs_p += ccc[1, k, :] * ccc_conj[1, k + a, :] * \ ccc[2, l, :] * ccc_conj[2, l + b, :] * \ resp_matrix[k, l] if -num_b1 <= k - a <= num_b1 and \ -num_b2 <= l - b <= num_b2: rs_m += ccc[1, k, :] * ccc_conj[1, k - a, :] * \ ccc[2, l, :] * ccc_conj[2, l - b, :] * \ resp_matrix[k, l] # Calculate current coefficient: equation 5.26 if a == 0 and b == 0: return rs_p.imag + 1j * 0. else: return (rs_p.imag + rs_m.imag) - 1j * (rs_p.real - rs_m.real) def _current_3_tones(freq_out, ccc, freq, resp_matrix, num_p, npts, num_b1, num_b2, num_b3): """Calculate the tunneling current at a specific frequency. Three tones. Frequency is normalized to the gap frequency. Args: freq_out (float): frequency to solve for ccc (ndarray): convolution coefficients freq (ndarray): frequencies resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_p (int): Number of harmonics npts (int): Number of bias voltage points num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) Returns: ndarray: Tunneling current at specified frequency """ freq_out = round(freq_out, ROUND_FREQ) current_out = np.zeros(npts, dtype=complex) for a in range(num_p, -(num_p + 1), -1): for b in range(num_p, -(num_p + 1), -1): for c in range(num_p, -(num_p + 1), -1): freq_abc = round(a * freq[1] + b * freq[2] + c * freq[3], ROUND_FREQ) # # Debug # match = freq_abc == freq_out # if not match: # match = '' # else: # match = 'match!' # print "{:+d} {:+d} {:+d} {:+7.4f} {}".format(a, b, c, freq_abc, match) if freq_abc == freq_out: # # Debug # msg = "\t -> {:+d}*{:.4f} {:+d}*{:.4f} {:+d}*{:10.4f} = {:.4f}" # print msg.format(a, freq[1], # b, freq[2], # c, freq[3], freq_out) current_out += _current_coeff_3_tones(a, b, c, ccc, resp_matrix, num_b1, num_b2, num_b3) return current_out @nb.njit("c16[:](i4, i4, i4, c16[:,:,:], c16[:,:,:,:], i4, i4, i4)") def _current_coeff_3_tones(a, b, c, ccc, resp_matrix, num_b1, num_b2, num_b3): # pragma: no cover """Calculate the tunneling current coefficient (for 3 tones). Calculate (I(a,b,c)) for a three tone system (i.e., for an (a,b,c) combination versus calculating the entire matrix for every (a,b,c) pair). Equations 5.25 and 5.26 in Kittara's thesis. Args: a (int): Index a in Eqn. 5.25 b (int): Index b in Eqn. 5.25 c (int): Index c in Eqn. 5.25 ccc (ndarray): Convolution coefficient resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) Returns: ndarray: Tunneling current coefficient """ # Recast coefficients ccc1 = ccc[1] ccc2 = ccc[2] ccc3 = ccc[3] # Equation 5.25 rs_p = np.zeros_like(ccc1[0, :], dtype=np.complex128) rs_m = np.zeros_like(ccc1[0, :], dtype=np.complex128) for k in range(-num_b1, num_b1 + 1): for l in range(-num_b2, num_b2 + 1): for m in range(-num_b3, num_b3 + 1): c0 = ccc1[k] * ccc2[l] * ccc3[m] resp_current = resp_matrix[k, l, m] if -num_b1 <= k + a <= num_b1 and \ -num_b2 <= l + b <= num_b2 and \ -num_b3 <= m + c <= num_b3: cp = np.conj(ccc1[k + a, :] * ccc2[l + b, :] * ccc3[m + c, :]) * c0 rs_p += cp * resp_current if -num_b1 <= k - a <= num_b1 and \ -num_b2 <= l - b <= num_b2 and \ -num_b3 <= m - c <= num_b3: cm = np.conj(ccc1[k - a, :] * ccc2[l - b, :] * ccc3[m - c, :]) * c0 rs_m += cm * resp_current # Calculate current coefficient: equation 5.26 if a == 0 and b == 0 and c == 0: return rs_p.imag + 1j * 0. else: return (rs_p.imag + rs_m.imag) - 1j * (rs_p.real - rs_m.real) # @nb.njit("c16[:](f4, c16[:,:,:], f8[:], c16[:,:,:,:,:], i4, i4, i4, i4, i4, i4)") def _current_4_tones(freq_out, ccc, freq, resp_matrix, num_p, npts, num_b1, num_b2, num_b3, num_b4): # pragma: no cover """Calculate the tunneling current at a specific frequency. Four tones. Frequency is normalized to the gap frequency. Args: freq_out (float): frequency to solve for ccc (ndarray): convolution coefficients freq (ndarray): frequencies resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_p (int): Number of harmonics npts (int): Number of bias voltage points num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) num_b4 (int): Summation limits for phase factor coefficients (tone 4) Returns: ndarray: Tunneling current at specified frequency """ freq_out = round(freq_out, ROUND_FREQ) current_out = np.zeros(npts, dtype=np.complex128) for a in range(num_p, -(num_p + 1), -1): for b in range(num_p, -(num_p + 1), -1): for c in range(num_p, -(num_p + 1), -1): for d in range(num_p, -(num_p + 1), -1): freq_abcd = round(a * freq[1] + b * freq[2] + c * freq[3] + d * freq[4], ROUND_FREQ) if freq_abcd == freq_out: current_out += _current_coeff_4_tones(a, b, c, d, ccc, resp_matrix, num_b1, num_b2, num_b3, num_b4, npts) return current_out @nb.njit("c16[:](i4, i4, i4, i4, c16[:,:,:], c16[:,:,:,:,:], i4, i4, i4, i4, i4)") def _current_coeff_4_tones(a, b, c, d, ccc, resp_matrix, num_b1, num_b2, num_b3, num_b4, npts): # pragma: no cover """Calculate the tunneling current coefficient (for 4 tones). Calculate (I(a,b,c,d)) for a four tone system (i.e., for an (a,b,c,d) combination versus calculating the entire matrix for every (a,b,c) pair). Equations 5.25 and 5.26 in Kittara's thesis. Args: a (int): Index a in Eqn. 5.25 b (int): Index b in Eqn. 5.25 c (int): Index c in Eqn. 5.25 d (int): Index d in Eqn. 5.25 ccc (ndarray): Convolution coefficient resp_matrix (ndarray): Response function matrix, generated by interpolate_respfn num_b1 (int): Summation limits for phase factor coefficients (tone 1) num_b2 (int): Summation limits for phase factor coefficients (tone 2) num_b3 (int): Summation limits for phase factor coefficients (tone 3) num_b4 (int): Summation limits for phase factor coefficients (tone 4) npts (int): Number of bias voltage points Returns: ndarray: Tunneling current coefficient """ # Recast coefficients (saves a bit of time) ccc1 = ccc[1] ccc2 = ccc[2] ccc3 = ccc[3] ccc4 = ccc[4] # Calculate Rabcd+j*Sabcd: quation 5.25 rs_p = np.zeros(npts, dtype=np.complex128) # positive abcd indices rs_m = np.zeros(npts, dtype=np.complex128) # negative abcd indices for k in range(-num_b1, num_b1 + 1): for l in range(-num_b2, num_b2 + 1): for m in range(-num_b3, num_b3 + 1): for n in range(-num_b4, num_b4 + 1): c0 = ccc1[k] * ccc2[l] * ccc3[m] * ccc4[n] # Response function resp_current = resp_matrix[k, l, m, n] # Positive abcd indices if -num_b1 <= k + a <= num_b1 and \ -num_b2 <= l + b <= num_b2 and \ -num_b3 <= m + c <= num_b3 and \ -num_b4 <= n + d <= num_b4: cp = np.conj(ccc1[k + a] * ccc2[l + b] * ccc3[m + c] * ccc4[n + d]) * c0 rs_p += cp * resp_current # Negative abcd indices if -num_b1 <= k - a <= num_b1 and \ -num_b2 <= l - b <= num_b2 and \ -num_b3 <= m - c <= num_b3 and \ -num_b4 <= n - d <= num_b4: cm = np.conj(ccc1[k - a] * ccc2[l - b] * ccc3[m - c] * ccc4[n - d]) * c0 rs_m += cm * resp_current # Calculate current coefficient: equation 5.26 if a == 0 and b == 0 and c == 0 and d == 0: return rs_p.imag + 1j * 0. else: return (rs_p.imag + rs_m.imag) - 1j * (rs_p.real - rs_m.real) # Helper functions ----------------------------------------------------------- def _unpack_num_b(num_b, num_f): """Unpack num_b (summation limits for phase factor coefficients). Args: num_b: Summation limits for phase factor coefficients num_f: Number of frequencies Returns: tuple: Summation limits for phase factor coefficients in tuple form, with one value for each tone """ # Note: num_b is 0-indexed if it is a tuple # I.e.: num_b[0] is for the fundamental frequency if isinstance(num_b, tuple): assert len(num_b) >= num_f, \ "There must be one value of num_b for each fundamental frequency." num_b = tuple(num_b[:num_f]) return num_b return tuple([num_b] * num_f) QMix-1.0.6/qmix/respfn.py000066400000000000000000000756621370151251300152370ustar00rootroot00000000000000"""This module contains classes to represent the response function of the SIS junction. There are several different types of response function classes: - Response functions generated directly from I-V data: - ``RespFn``: This is the base class for all of the other response function classes. This class will generate a response function based on a DC I-V curve (i.e., DC voltage and current data). Note that this class assumes that you have "pre-processed" the data. This means that it will use the voltage and current data to generate the interpolation directly. Normally, you want to have more data points around curvier regions in order to minimize how much time the interpolation takes. If you haven't done this, it is a good idea to use ``RespFnFromIVData`` instead. - ``RespFnFromIVData``: This class will generate a response function based on a DC I-V curve (i.e., DC voltage and current data). Unlike ``RespFn``, this class will resample the response function in order to optimize the interpolation. - Response functions generated from I-V curve models: - ``RespFnPerfect``: This class will generate a response function based on an ideal DC I-V curve (i.e., the subgap current is exactly zero below the gap voltage and exactly equal to the bias voltage above the gap, assuming normalized values). This DC I-V curve has an infinitely sharp transition. Note however that you can smear the transition using the ``v_smear`` argument. This will convolve the ideal reasponse function with a Gaussian distribution, allowing you to control the sharpness of the transition. - ``RespFnPolynomial``: This class will generate a response function based on the polynomial model from Kennedy (1999). The order of the polynomial controls the sharpness of the transition, so this class can be used to simulate the effect of the transition's sharpness (e.g., how does the gain change when the gap is more or less sharp?). - ``RespFnExponential``: This class will generate a response function based on the exponential model from Rashid *et al.* (2016). This model is very similar to ``RespFnPolynomial``, except that you can include a leakage current (i.e., a finite subgap resistance). Upon initialization, these classes will: 1. Load or calculate the DC I-V curve (which is the imagainary part of response function). 2. Calculate the Kramers-Kronig transform of the DC I-V curve (which is the real part of the response function). 3. Setup the density of the data points to optimize interpolation. - The response function needs enough data points that it can be interpolated accurately, but at the same time, not so many points that the interpolation takes too long. 4. Calculate cubic spline fits for the I-V curve and the KK transform. - Doing this once at the start allows the data to be interpolated very quickly later on. Once initialized, the classes allow the user to interpolated the DC I-V curve, the KK transform, the derivative of the I-V curve, the derivative of the KK transform, and the response function (a complex value). These classes are optimized to interpolate very quickly. Examples: For a quick example, we will generate a response function using the polynomial model, with polynomial order 50: >>> resp = RespFnPolynomial(50, verbose=False) You can then interpolate the DC I-V curve and the KK transform: >>> bias_voltage = np.array([0.5, 1.0, 2.0]) >>> dc_current = resp.idc(bias_voltage) >>> np.around(dc_current, 1) array([0. , 0.5, 2. ]) >>> kk_current = resp.ikk(bias_voltage) >>> np.around(kk_current, 1) array([-0.5, 1.1, 0.1]) You can also interpolate the response function directly, which is a complex array: >>> resp = resp(bias_voltage) >>> np.around(resp, 1) array([-0.5+0.j , 1.1+0.5j, 0.1+2.j ]) Here, the real part is the KK transform (same as the previous ``kk_current`` results) and the imaginary part is the DC I-V curve (same as the previous ``dc_current`` results). """ import numpy as np import matplotlib.pyplot as plt from qmix.mathfn.misc import slope import qmix.mathfn.ivcurve_models as iv from qmix.mathfn.filters import gauss_conv from qmix.mathfn.kktrans import kk_trans from scipy.interpolate import InterpolatedUnivariateSpline as Interp # Build initialization bias voltage VRANGE = 35 VNPTS = 7001 VINIT = np.linspace(0, VRANGE, VNPTS) VSTEP = float(VINIT[1] - VINIT[0]) VINIT.flags.writeable = False # Generate response function -------------------------------------------------- class RespFn(object): """Generate the response function from pre-processed I-V data. This class expects "pre-processed" I-V data, meaning that there are more data points around the curvier regions of the I-V curve and fewer points in the linear regions. Sampling in this way helps the interpolation run as quick as possible. If you have not "pre-processed" your data, please use ``RespFnFromIVData``. Args: voltage (ndarray): normalized DC bias voltage current (ndarray): normalized DC tunneling current Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? v_smear (float, default is None): smear DC I-V curve by convolving with a Gaussian dist. with this std. dev. kk_n (int, default is 50): padding for Hilbert transform (see ``qmix.mathfn.kktrans.kk_trans``) spline_order (int, default is 3): spline order for interpolations Attributes: voltage (ndarray): The DC bias voltage values. current (ndarray): The DC tunneling current values. voltage_kk (ndarray): The DC bias voltage values that correspond to ``current_kk``. current_kk (ndarray): The values of the KK transform of the DC I-V curve. """ def __init__(self, voltage, current, **params): params = _default_params(params) if params['verbose']: print("Generating response function:") assert voltage[0] == 0., "First voltage value must be zero" assert voltage[-1] > 5, "Voltage must extend to at least 5" # Reflect about y-axis voltage = np.r_[-voltage[::-1][:-1], voltage] current = np.r_[-current[::-1][:-1], current] # Smear DC I-V curve (optional) if params['v_smear'] is not None: v_step = voltage[1] - voltage[0] current = gauss_conv(current - voltage, sigma=params['v_smear'] / v_step) + voltage if params['verbose']: print(" - Voltage smear: {:.4f}".format(params['v_smear'])) # Calculate Kramers-Kronig (KK) transform current_kk = kk_trans(voltage, current, params['kk_n']) # Interpolate f_interp = _setup_interpolation(voltage, current, current_kk, **params) # Place interpolation objects into hidden attributes self._f_idc = f_interp[0] self._f_ikk = f_interp[1] self._f_didc = f_interp[2] self._f_dikk = f_interp[3] # Save DC I-V curve and KK transform as attributes self.voltage = voltage self.current = current self.voltage_kk = voltage self.current_kk = current_kk def __str__(self): # pragma: no cover return "Response function object: RespFn" def __repr__(self): # pragma: no cover return self.__str__() def __call__(self, vbias): return self.resp(vbias) def plot_interpolation(self, fig_name=None, ax=None): # pragma: no cover """Plot the interpolation of the response function. This can be used to check the interpolation of the response function. (Mostly just a sanity check.) Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name (str, default is None): name of figure file name, if you wish to save ax (matplotlib.axes.Axes, default is None): figure axis, if you would like to add to an existing figure Returns: matplotlib.axes.Axes: figure axis """ # Figure labels lb1 = r'$I_\mathrm{{dc}}^0(V_0)$: imported' lb2 = r'$I_\mathrm{{dc}}^0(V_0)$: interpolated' lb3 = r'$I_\mathrm{{kk}}^0(V_0)$: imported' lb4 = r'$I_\mathrm{{kk}}^0(V_0)$: interpolated' if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() # Plot actual data values ax.plot(self.voltage, self.current, 'k--', label=lb1) ax.plot(self.voltage_kk, self.current_kk, 'r--', label=lb3) # Plot interpolated values ax.plot(self.voltage, self._f_idc(self.voltage), 'k-', label=lb2) ax.plot(self.voltage_kk, self._f_ikk(self.voltage_kk), 'r-', label=lb4) # Plot properties ax.set_xlabel(r'Bias Voltage / $V_\mathrm{{gap}}$') ax.set_ylabel(r'Current / $I_\mathrm{{gap}}$') ax.set_xlim([-2, 2]) ax.set_ylim([-2, 2]) ax.legend(loc=0, frameon=True) ax.grid() if fig_name is not None: fig.savefig(fig_name, bbox_inches='tight') plt.close(fig) return else: return ax def plot(self, fig_name=None, ax=None): # pragma: no cover """Plot the response function. This will plot the real and imaginary parts separately. Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Args: fig_name (str, default is None): name of figure file name, if you wish to save ax (matplotlib.axes.Axes, default is None): figure axis, if you would like to add to an existing figure Returns: matplotlib.axes.Axes: figure axis (only if ``fig_name`` is ``None``) """ # Figure labels lb1 = r'$I_\mathrm{{dc}}^0(V_0)$' # DC I-V curve lb2 = r'$I_\mathrm{{kk}}^0(V_0)$' # KK transform if ax is None: fig, ax = plt.subplots() else: fig = ax.get_figure() # Plot response function ax.plot(self.voltage, self.current, 'k', label=lb1) ax.plot(self.voltage_kk, self.current_kk, 'r--', label=lb2) # Set plot properties ax.set_xlabel(r'Bias Voltage (normalized)') ax.set_ylabel(r'Current (normalized)') ax.set_xlim([0, 2]) ax.set_ylim([-1.2, 2]) ax.legend(loc=0, frameon=True) ax.grid() if fig_name is not None: fig.savefig(fig_name, bbox_inches='tight') plt.close(fig) return else: return ax def show_current(self, fig_name=None, ax=None): # pragma: no cover """Plot the interpolation of the response function. This can be used to check the interpolation of the response function. (Mostly just a sanity check.) Note: If ``fig_name`` is provided, this method will save the plot to the specified folder and then close the plot. This means that the Matplotlib axis object will not be returned in this case. This is done to prevent too many plots from being open at the time. Warning: This function is deprecated. Please use ``plot_interpolation`` instead. I renamed this function to be more consistent across the QMix package. Args: fig_name (string): figure name if saved ax: figure axis """ return self.plot_interpolation(fig_name, ax) def idc(self, vbias): """Interpolate the DC I-V curve. This is the imaginary component of the respones function, and it is used to calculate the quasiparticle tunneling currents in ``qmix.qtcurrent.qtcurrent``. Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: DC tunneling current """ return self._f_idc(vbias) def ikk(self, vbias): """Interpolate the Kramers-Kronig transform of the DC I-V curve at the given bias voltage. This is the real component of the response function, and it is used to calculate the quasiparticle tunneling currents in ``qmix.qtcurrent.qtcurrent``. Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: KK transform of the DC I-V curve """ return self._f_ikk(vbias) def didc(self, vbias): """Interpolate the derivative of the DC I-V curve at the given bias voltage. This is defined as ``d(idc) / d(vb)`` where ``idc`` is the DC tunneling current and ``vb`` is the bias voltage. Note: This method is not used directly by QMix, but it can be useful if you are calculating the tunneling currents using Tucker theory (see: Tucker and Feldman, 1985). Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: derivative of the DC tunneling current """ return self._f_didc(vbias) def dikk(self, vbias): """Interpolate the derivative of the Kramers-Kronig transform. This is defined as ``d(ikk) / d(vb)`` where ``ikk`` is the Kramers- Kronig transform of the DC tunneling current and ``vb`` is the bias voltage. Note: This method is not used directly by QMix, but it can be useful if you are calculating the tunneling currents using Tucker theory (see: Tucker and Feldman, 1985). Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: derivative of the KK transform of the DC I-V curve """ return self._f_dikk(vbias) def resp(self, vbias): """Interpolate the response function. Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: Response function (a complex value) """ return self._f_ikk(vbias) + 1j * self._f_idc(vbias) def resp_conj(self, vbias): """Interpolate the complex conjugate of the response function. Note: This method is not used directly by QMix, but it can be useful if you are calculating the tunneling currents using Tucker theory (see: Tucker and Feldman, 1985). This method is included because it might be *slightly* faster than ``np.conj(resp(vb))`` where ``resp`` is an instance of this class. Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: Complex conjugate of the response function """ return self._f_ikk(vbias) - 1j * self._f_idc(vbias) def resp_swap(self, vbias): """Interpolate the response function, with the real and imaginary components swapped. Note: This method is not used directly by QMix, but it can be useful if you are calculating the tunneling currents using Tucker theory (see: Tucker and Feldman, 1985). This method is included because it might be *slightly* faster than ``1j*np.conj(resp(vb))`` where ``resp`` is an instance of this class. This is the normal way that you would swap the real and imaginary components. Args: vbias (ndarray): Bias voltage (normalized) Returns: ndarray: Response function with the real and imaginary components swapped """ return self._f_idc(vbias) + 1j * self._f_ikk(vbias) # Generate from I-V data ------------------------------------------------------ class RespFnFromIVData(RespFn): """Generate the response function from I-V data. Unlike ``RespFn``, this class will resample the I-V data to optimize the interpolation. Note: This class expects normalized I-V data that extends from at least ``vb=0`` to ``vb=vlimit``, where ``vb`` is the bias voltage and ``vlimit`` is one of the keyword arguments. Args: voltage (ndarray): normalized DC bias voltage current (ndarray): normalized DC tunneling current Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? v_smear (float, default is None): smear DC I-V curve by convolving with a Gaussian dist. with this std. dev. kk_n (int, default is 50): padding for Hilbert transform (see ``qmix.mathfn.kktrans.kk_trans``) spline_order (int, default is 3): spline order for interpolations vlimit (float, default is 1.8): import all DC I-V data from ``vb=0`` to ``vb=vlimit``, where ``vb`` is the bias voltage normalized to the gap voltage. """ def __init__(self, voltage, current, **kwargs): params = _default_params(kwargs, 81, 101) # Force slope=1 above vmax vmax = params.get('vlimit', 1.8) mask = (voltage > 0) & (voltage < vmax) current = current[mask] voltage = voltage[mask] b = current[-1] - voltage[-1] current = np.append(current, [50. + b]) voltage = np.append(voltage, [50.]) # Re-sample I-V data current = np.interp(VINIT, voltage, current) voltage = np.copy(VINIT) RespFn.__init__(self, voltage, current, **params) def __str__(self): return "Response function object: RespFnFromIVData" # Generate from other I-V curve models ---------------------------------------- class RespFnPolynomial(RespFn): """Response function based on the polynomial I-V curve model. This model is from Kennedy (1999). The order of the polynomial (``p_order``) controls the sharpness of the non-linearity. See ``qmix.mathfn.ivcurve_models.polynomial`` for the model. Args: p_order (int): Order of the polynomial Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? v_smear (float, default is None): smear DC I-V curve by convolving with a Gaussian dist. with this std. dev. kk_n (int, default is 50): padding for Hilbert transform (see ``qmix.mathfn.kktrans.kk_trans``) spline_order (int, default is 3): spline order for interpolations """ def __init__(self, p_order=50, **kwargs): params = _default_params(kwargs) voltage = np.copy(VINIT) current = iv.polynomial(voltage, p_order) RespFn.__init__(self, voltage, current, **params) def __str__(self): return "Response function object: RespFnPolynomial" class RespFnExponential(RespFn): """Response function based on the exponential I-V curve model. This model is from Rashid *et al.* (2016). Through this model you can set the sharpness of the non-linearity *and* the subgap resistance. See ``qmix.mathfn.ivcurve_models.exponential`` for the model. Args: vgap (float): Gap voltage (un-normalized) rsg (float): Sub-gap resistance (un-normalized) rn (float): Normal resistance (un-normalized) a (float): Gap smearing parameter (4e4 is typical) Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? v_smear (float, default is None): smear DC I-V curve by convolving with a Gaussian dist. with this std. dev. kk_n (int, default is 50): padding for Hilbert transform (see ``qmix.mathfn.kktrans.kk_trans``) spline_order (int, default is 3): spline order for interpolations """ def __init__(self, vgap=2.8e-3, rn=14, rsg=1000, agap=4e4, **kwargs): params = _default_params(kwargs, 101, 251) voltage = np.copy(VINIT) current = iv.exponential(voltage, vgap, rn, rsg, agap) RespFn.__init__(self, voltage, current, **params) def __str__(self): return "Response function object: RespFnExponential" class RespFnPerfect(RespFn): """Response function based on the perfect I-V curve model. The perfect I-V curve has zero subgap current below the transition, and a current exactly equal to ``vb * Rn``, where ``vb`` is the bias voltage and ``Rn`` is the normal resistance, above the transition. See ``qmix.mathfn.ivcurve_models.perfect`` for the model. Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? v_smear (float, default is None): smear DC I-V curve by convolving with a Gaussian dist. with this std. dev. kk_n (int, default is 50): padding for Hilbert transform (see ``qmix.mathfn.kktrans.kk_trans``) spline_order (int, default is 3): spline order for interpolations """ def __init__(self, **params): params = _default_params(params) if params['verbose']: print("Generating response function:") # Reflect about y-axis voltage = np.copy(VINIT) current = iv.perfect(voltage) if params['v_smear'] is None: voltage = np.r_[-voltage[::-1][:-1], voltage] current = np.r_[-current[::-1][:-1], current] # KK transform current_kk = iv.perfect_kk(voltage) # Place interpolations into hidden attributes self._f_idc = iv.perfect self._f_ikk = iv.perfect_kk self._f_didc = None self._f_dikk = None # Save DC I-V curve and KK transform as attributes self.voltage = voltage self.current = current self.voltage_kk = voltage self.current_kk = current_kk # Smear IV curve (optional) else: tmp = np.zeros_like(voltage) idx = np.abs(voltage - 1.).argmin() tmp[idx] = 1. v_step = voltage[1] - voltage[0] current = gauss_conv(tmp, sigma=params['v_smear']/v_step) + \ iv.perfect(voltage) if params['verbose']: print(" - Voltage smear: {:.4f}".format(params['v_smear'])) RespFn.__init__(self, voltage, current, **params) def __str__(self): return "Response function object: RespFnPerfect" # Helper functions ------------------------------------------------------------ def _setup_interpolation(voltage, current, current_kk, **params): """Setup interpolation. This function will sample the response function, such that there are more points around curvier regions than linear regions, and then setup the interpolation. This is optimized to make interpolating the data as fast as possible. Args: voltage: bias voltage current: DC tunneling current current_kk: KK transform of the DC tunneling current **params: interpolation parameters (see keyword arguments) Keyword Args: verbose (bool, default is True): print info to terminal? max_npts_dc (int, default is 101): maximum number of points in DC I-V curve max_npts_kk (int, default is 151): maximum number of points in KK transform max_interp_error (float, default is 0.001): maximum interpolation error (in units of normalized current) check_error (bool, default is False): check interpolation error? spline_order (int, default is 3): spline order for interpolations Returns: tuple: the interpolation objects """ # Interpolation parameters npts_dciv = params['max_npts_dc'] npts_kkiv = params['max_npts_kk'] interp_error = params['max_interp_error'] check_error = params['check_error'] verbose = params['verbose'] spline_order = params['spline_order'] if verbose: print(" - Interpolating:") # Sample data dc_idx = _sample_curve(voltage, current, npts_dciv, 0.25) kk_idx = _sample_curve(voltage, current, npts_kkiv, 1.) # Interpolate (cubic spline) # Note: k=1 or 2 is much faster, but increases the numerical error. f_dc = Interp(voltage[dc_idx], current[dc_idx], k=spline_order) f_kk = Interp(voltage[kk_idx], current_kk[kk_idx], k=spline_order) # Splines for derivatives f_ddc = f_dc.derivative() f_dkk = f_kk.derivative() # Find max error v_check_range = VRANGE - 1 # idx_start = (voltage + v_check_range).argmin() idx_check = (-v_check_range < voltage) & (voltage < v_check_range) err_v = voltage[idx_check] err_dc = current[idx_check] - f_dc(voltage[idx_check]) err_kk = current_kk[idx_check] - f_kk(voltage[idx_check]) # # Debug # plt.figure() # plt.plot(voltage, current, 'k') # plt.plot(voltage[dc_idx], f_dc(voltage[dc_idx]), 'ro--') # plt.figure() # plt.plot(voltage, current_kk, 'k') # plt.plot(voltage[kk_idx], f_kk(voltage[kk_idx]), 'ro--') # plt.show() # Print to terminal if verbose: msg1 = "\t- DC I-V curve:" msg2 = "\t\t- npts for DC I-V: {}" msg3 = "\t\t- avg. error: {:.4E}" msg4 = "\t\t- max. error: {:.4f} at v={:.2f}" msg5 = "\t- KK curve:" msg6 = "\t\t- npts for KK I-V: {}" msg7 = "\t\t- avg. error: {:.4E}" msg8 = "\t\t- max. error: {:.4f} at v={:.2f}" msg9 = "" print(msg1) print(msg2.format(len(dc_idx))) print(msg3.format(np.mean(np.abs(err_dc)))) print(msg4.format(err_dc.max(), err_v[err_dc.argmax()])) print(msg5) print(msg6.format(len(kk_idx))) print(msg7.format(np.mean(np.abs(err_kk)))) print(msg8.format(err_kk.max(), err_v[err_kk.argmax()])) print(msg9) # Check error if check_error: assert err_dc.max() < interp_error, \ "Interpolation error too high. Please increase max_npts_dc" assert err_kk.max() < interp_error, \ "Interpolation error too high. Please increase max_npts_kk" return f_dc, f_kk, f_ddc, f_dkk def _sample_curve(voltage, current, max_npts, smear): """Sample curve. Sample more often when the curve is curvier. Args: voltage (ndarray): DC bias voltage current (ndarray): current (either DC tunneling or KK) max_npts (int): maximum number of sample points smear (float): smear current (only for sampling purposes) Returns: list: indices of sample points """ # Second derivative dd_current = np.abs(slope(voltage, slope(voltage, current))) # Cumulative sum of second derivative v_step = voltage[1] - voltage[0] cumsum = np.cumsum(gauss_conv(dd_current, sigma=smear / v_step)) # Build sampling array idx_list = [0] # Add indices based on curvy-ness cumsum_last = 0. voltage_last = voltage[0] for idx, v in enumerate(voltage): condition1 = abs(v) < 0.05 or abs(v - 1) < 0.1 or abs(v + 1) < 0.1 condition2 = v - voltage_last >= 1. condition3 = (cumsum[idx] - cumsum_last) * max_npts / cumsum[-1] > 1 condition4 = idx < 3 or idx > len(voltage) - 4 if condition1 or condition2 or condition3 or condition4: if idx != idx_list[-1]: idx_list.append(idx) voltage_last = v cumsum_last = cumsum[idx] # Add 10 to start/end for i in range(0, int(1 / VSTEP), int(1 / VSTEP / 10)): idx_list.append(i) for i in range(len(voltage) - int(1 / VSTEP) - 1, len(voltage), int(1 / VSTEP / 10)): idx_list.append(i) # Add 30 pts to middle ind_low = np.abs(voltage + 1.).argmin() ind_high = np.abs(voltage - 1.).argmin() npts = ind_high - ind_low for i in range(ind_low, ind_high, npts // 30): idx_list.append(i) idx_list = list(set(idx_list)) idx_list.sort() return idx_list def _default_params(kwargs, max_dc=101, max_kk=151, max_error=0.001, check_error=False, verbose=True, v_smear=None, kk_n=50, spline_order=3): """These are the default parameters that are used for generating response functions. These parameters match the keyword arguments of ``RespFn``, so see that docstring for more information.""" # Grab default params from the keyword arguments for this function params = {'max_npts_dc': max_dc, 'max_npts_kk': max_kk, 'max_interp_error': max_error, 'check_error': check_error, 'verbose': verbose, 'v_smear': v_smear, 'kk_n': kk_n, 'spline_order': spline_order, } # Update kwargs with the new parameters params.update(kwargs) return params QMix-1.0.6/requirements.txt000066400000000000000000000000341370151251300156530ustar00rootroot00000000000000matplotlib numba numpy scipyQMix-1.0.6/setup.py000066400000000000000000000046101370151251300141050ustar00rootroot00000000000000#!/usr/bin/env python3 """Install QMix.""" import io import sys from os import path from setuptools import setup, find_packages from setuptools.command.test import test as TestCommand import qmix root = path.abspath(path.dirname(__file__)) def read(*filenames, **kwargs): encoding = kwargs.get('encoding', 'utf-8') sep = kwargs.get('sep', '\n') buf = [] for filename in filenames: with io.open(path.join(root, filename), encoding=encoding) as f: buf.append(f.read()) return sep.join(buf) long_description = read('README.md') print(long_description) class PyTest(TestCommand): def finalize_options(self): TestCommand.finalize_options(self) self.test_args = [] self.test_suite = True def run_tests(self): import pytest errcode = pytest.main(self.test_args) sys.exit(errcode) setup( name="qmix", version=qmix.__version__, author="John Garrett", author_email="garrettj403@gmail.com", url="https://garrettj403.github.io/QMix/", description="Simulate SIS mixer operation", license="GPL v3", keywords=[ "SIS mixers", "radio astronomy", "superconducting detectors", "terahertz instrumentation", "Python" ], packages=find_packages(), install_requires=[ 'matplotlib', 'numba', 'numpy', 'scipy', ], extras_require={'test': ['pytest'], }, tests_require=['pytest', 'pytest-cov'], cmdclass={'test': PyTest}, long_description=long_description, long_description_content_type='text/markdown', platforms='any', classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Astronomy", ], project_urls={ 'Changelog': 'https://github.com/garrettj403/QMix/blob/master/CHANGES.md', 'Issue Tracker': 'https://github.com/garrettj403/QMix/issues', }, # scripts=[ # "bin/plot-if-response.py", # ], ) QMix-1.0.6/tests/000077500000000000000000000000001370151251300135345ustar00rootroot00000000000000QMix-1.0.6/tests/README.md000066400000000000000000000035111370151251300150130ustar00rootroot00000000000000Testing QMix ============ This directory contains tests for all of the modules within the ``QMix`` package. The 4 most important modules are: - ``qmix.circuit``: for building the embedding circuit - ``qmix.respfn``: for generating the response function - ``qmix.harmonic_balance``: for performing harmonic balance - ``qmix.qtcurrent``: for calculating the quasiparticle tunneling currents The tests for these packages are the most important. ``qmix.circuit``, ``qmix.respfn`` and ``qmix.harmonic_balance`` are all very easy to test. ``qmix.qtcurrent``, on the other hand, is very difficult to test because it tests how the quasiparticle tunneling currets are calculated. **Note:** The ``qmix.exp.exp_data`` module is for analyzing experimental data. This module does not effect QMix simulations. Automated Testing ----------------- [![Build Status](https://travis-ci.org/garrettj403/QMix.svg?branch=master)](https://travis-ci.org/garrettj403/QMix) Everytime there is a new commit, ``QMix`` is automatically tested using [Travis CI](https://travis-ci.org/garrettj403/QMix). **Note:** If you make some changes that do not affect the code, you can prevent Travis CI from running by including ``[ci skip]`` at the end of the commit message. Testing QMix on Your Machine ---------------------------- From the ``QMix/`` directory, run: ```bash pytest --verbose --color=yes tests/ ``` To test coverage, run: ```bash pytest --verbose --color=yes --cov=qmix/ tests/ ``` To generate a coverage report, run: ```bash pytest --verbose --color=yes --cov=qmix/ --cov-report=html tests/ ``` then open the report that is generated in ``htmlcov/index.html``. Testing Individual Modules -------------------------- As an example, from the ``QMix/tests/`` directory, you can run: ```bash pytest test_harmonic_balance.py ``` to test the harmonic balance module QMix-1.0.6/tests/__init__.py000066400000000000000000000000001370151251300156330ustar00rootroot00000000000000QMix-1.0.6/tests/exp-data/000077500000000000000000000000001370151251300152375ustar00rootroot00000000000000QMix-1.0.6/tests/exp-data/README.md000066400000000000000000000013571370151251300165240ustar00rootroot00000000000000Example Experimental Data ========================= This directory contains example experimental data that can be used to test the ``QMix`` package. This data was taken from a 230 GHz SIS mixer (Garrett, 2018). Do not use this data for anything else besides testing the ``QMix`` package. These files include: - ``dciv-data.csv``: measured I-V data with no LO present - ``dcif-data.csv``: measured IF power with no LO present - ``f230_0_iv.csv``: measured I-V data with LO pumping at 230 GHz - ``f230_0_if-hot.csv``: measured IF output power from a hot black body load (room temperature Eccosorb) at 230 GHz - ``f230_0_if-cold.csv``: measured IF output data from a hot black body load (Eccosorb immersed in liquid nitrogen) at 230 GHz QMix-1.0.6/tests/exp-data/dcif-data.csv000066400000000000000000007404071370151251300176040ustar00rootroot00000000000000DC Bias Voltage (mV), IF Power (A.U.) 0.015780, 0.009150 0.017713, 0.009069 0.019968, 0.009101 0.021579, 0.009069 0.023512, 0.009037 0.026412, 0.009005 0.028667, 0.008956 0.030600, 0.009005 0.032856, 0.008988 0.035433, 0.009021 0.037366, 0.008940 0.039299, 0.008940 0.041877, 0.008924 0.044132, 0.008876 0.046065, 0.008924 0.048642, 0.008892 0.050575, 0.008844 0.052831, 0.008795 0.055086, 0.008876 0.057663, 0.008924 0.059919, 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18.72 -45.2333 -45.4367 18.76 -44.4567 -44.5833 18.8 -44.23 -44.3067 18.84 -44.5433 -44.77 18.88 -45.0733 -45.42 18.92 -45.2467 -45.6267 18.96 -45.4567 -45.8267 19 -45.6267 -45.9267 19.04 -45.1433 -45.3533 19.08 -44.89 -44.9167 19.12 -44.1233 -44.1333 19.16 -43.8467 -44.0233 19.2 -43.5967 -43.9433 19.24 -43.85 -44.17 19.28 -44.1033 -44.2767 19.32 -44.0733 -44.1567 19.36 -44.2133 -44.33 19.4 -44.4633 -44.6033 19.44 -45.0233 -45.14 19.48 -45.8133 -45.9533 19.52 -46.3533 -46.3367 19.56 -46.64 -46.5033 19.6 -45.16 -44.9167 19.64 -43.9 -43.7467 19.68 -43.38 -43.35 19.72 -44.9333 -45.0733 19.76 -46.4567 -46.7267 19.8 -47.4933 -47.81 19.84 -47.5567 -47.7867 19.88 -47.5067 -47.6933 19.92 -47.2467 -47.49 19.96 -46.5967 -46.8233 QMix-1.0.6/tests/test_circuit.py000066400000000000000000000156741370151251300166240ustar00rootroot00000000000000"""Test the embedding circuit module (qmix.circuit). This module has a class (qmix.circuit.EmbeddingCircuit) that is used to contain all the information about the embedding circuit (i.e., the Thevenin voltages, the Thevenin impedances, the signal frequencies, the simulation parameters, etc.). The tests for this class are pretty trivial because the class is used like a struct. """ import tempfile import numpy as np import pytest import qmix from qmix.circuit import * def test_saving_and_importing_methods(): """Build an embedding circuit, save it to file, load it from file and make sure that the two circuits match.""" # Build a quick circuit cct = EmbeddingCircuit(2, 2) # Voltages cct.vt[1, 1] = 0.3 cct.vt[1, 2] = 0.1 cct.vt[2, 1] = 0.01 cct.vt[2, 2] = 0.001 # Impedances cct.zt[1, 1] = 1. + 1j * 0.1 cct.zt[1, 2] = 2. + 1j * 0.2 cct.zt[2, 1] = 3. + 1j * 0.3 cct.zt[2, 2] = 4. + 1j * 0.4 # Signal names cct.set_name('LO', 1, 1) cct.set_name('RF', 2, 1) # Save circuit to file _, path = tempfile.mkstemp() cct.save_info(path) # Try printing cct.print_info() print(cct) cct.name = 'Test' print(cct) # Try locking arrays cct.lock() with pytest.raises(ValueError): cct.freq[1] = 0.5 cct.unlock() # Read from file cct2 = read_circuit(path) # Compare values np.testing.assert_array_equal(cct.freq, cct2.freq) np.testing.assert_array_equal(cct.vt, cct2.vt) np.testing.assert_array_equal(cct.zt, cct2.zt) assert cct.num_f == cct2.num_f assert cct.num_p == cct2.num_p def test_power_settings(): """Build an embedding circuit, set the available power, read the available power and make sure the two values match.""" # Build quick circuit instance cct = EmbeddingCircuit(2, 2, vgap=3e-3, rn=10, fgap=700e9) # Voltages cct.vt[1, 1] = 0.3 cct.vt[1, 2] = 0.1 cct.vt[2, 1] = 0.01 cct.vt[2, 2] = 0.001 # Impedances cct.zt[1, 1] = 1. + 1j * 0.1 cct.zt[1, 2] = 2. + 1j * 0.2 cct.zt[2, 1] = 3. + 1j * 0.3 cct.zt[2, 2] = 4. + 1j * 0.4 # Signal names cct.set_name('LO', 1, 1) cct.set_name('RF', 2, 1) # Set frequency cct.set_freq(400e9, 1, units='Hz') cct.set_freq(700e9, 2, units='Hz') # Try setting frequency with different units freq1 = cct.freq[1] cct.set_freq(400e9 / sc.tera, 1, units='THz') assert freq1 == pytest.approx(cct.freq[1]) cct.set_freq(400e9 / sc.giga, 1, units='GHz') assert freq1 == pytest.approx(cct.freq[1]) cct.set_freq(400e9 / sc.mega, 1, units='MHz') assert freq1 == pytest.approx(cct.freq[1]) cct.set_freq(freq1, 1, units='norm') assert freq1 == pytest.approx(cct.freq[1]) cct.set_freq(freq1 * 3e-3, 1, units='V') assert freq1 == pytest.approx(cct.freq[1]) cct.set_freq(freq1 * 3, 1, units='mV') assert freq1 == pytest.approx(cct.freq[1]) # Also try non-sense units with pytest.raises(ValueError): cct.set_freq(1, 1, units='GV') # Test normalized frequency (recall fgap=700e9) assert cct.freq[2] == 1. # Try printing cct.print_info() print(cct) # Set available power (in units dBm) using set_available_power method power_dbm = -50 cct.set_available_power(power_dbm, 1, 1, units='dBm') # Read available power using available_power method assert power_dbm == pytest.approx(cct.available_power(1, 1, units='dBm')) assert power_dbm - 30. == pytest.approx(cct.available_power(1, 1, units='dBW')) # Set available power (in units W) using set_available_power method power_watts = 1e-9 cct.set_available_power(power_watts, 2, 1, units='W') # Read available power using available_power method assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) assert power_watts == pytest.approx(cct.available_power(2, 1, units='mW') * sc.milli) assert power_watts == pytest.approx(cct.available_power(2, 1, units='uW') * sc.micro) assert power_watts == pytest.approx(cct.available_power(2, 1, units='nW') * sc.nano) assert power_watts == pytest.approx(cct.available_power(2, 1, units='pW') * sc.pico) assert power_watts == pytest.approx(cct.available_power(2, 1, units='fW') * sc.femto) # Set the available power using different units cct.set_available_power(power_watts / sc.milli, 2, 1, units='mW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) cct.set_available_power(power_watts / sc.micro, 2, 1, units='uW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) cct.set_available_power(power_watts / sc.nano, 2, 1, units='nW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) cct.set_available_power(power_watts / sc.pico, 2, 1, units='pW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) cct.set_available_power(power_watts / sc.femto, 2, 1, units='fW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) cct.set_available_power(10*np.log10(power_watts), 2, 1, units='dBW') assert power_watts == pytest.approx(cct.available_power(2, 1, units='W')) # Try using incorrect units with both methods with pytest.raises(ValueError): cct.set_available_power(power_watts, 1, 1, 'test') with pytest.raises(ValueError): cct.available_power(1, 1, 'test') # Try getting power when real component is zero cct.zt[1, 1] = 0. + 1j * 0.1 cct.vt[1, 1] = 1. assert cct.available_power(1, 1, units='W') == 0. def test_setting_alpha(): """The EmbeddingCircuit class includes a method to set the drive level of the SIS junction. Note: This is only an approximation. The method assumes an impedance for the junction in order to do this. Try setting the drive level to alpha=1, run a simulation to calculate the junction voltage, and then check the value.""" # Use polynomial model for the response function resp = qmix.respfn.RespFnPolynomial(50) # Build embedding circuit cct = EmbeddingCircuit(1, 1) cct.freq[1] = 0.3 cct.zt[1, 1] = 0.3 - 1j * 0.3 # Set drive level to alpha=1 alpha_set = 1. cct.set_alpha(alpha_set, 1, 1, zj=0.6) # Harmonic balance to calculate junction voltage (vj) vj = qmix.harmonic_balance.harmonic_balance(cct, resp) # Check value in middle of first photon step idx = np.abs(cct.vb - (1 - cct.freq[1] / 2)).argmin() alpha = np.abs(vj[1, 1, idx]) / cct.freq[1] assert 0.9 < alpha < 1.1 # only has to be approximate def test_junction_properties(): """Test junction properties.""" # Junction properties rn = 10. vgap = 3e-3 fgap = vgap * sc.e / sc.h # Set Vgap cct1 = EmbeddingCircuit(1, 1, vgap=vgap, rn=rn) # Set fgap cct2 = EmbeddingCircuit(1, 1, fgap=fgap, rn=rn) # Check assert cct1.vgap == cct2.vgap assert cct1.fgap == cct2.fgap if __name__ == "__main__": test_setting_alpha() QMix-1.0.6/tests/test_clean_data.py000066400000000000000000000025301370151251300172200ustar00rootroot00000000000000"""Test the data cleaning module (qmix.exp.clean_data). This module is used to clean experimental data. This includes basic sorting, removing NaN values, and removing repeated values. """ import numpy as np import qmix.exp.clean_data as qc def test_clean_xy(): """Test cleaning x/y data. By x/y data, I mean 2 arrays of equal length where y is a function of x. Make sure that NaN values are removed, make sure that the data is sorted by x, and make sure repeated values are removed.""" xx1 = np.array([3., 4., np.NaN, 1., 2.]) yy1 = np.array([1., 2., 3., 4., 5.]) xx2, yy2 = qc.clean_xy(xx1, yy1) np.testing.assert_equal(xx2, np.array([1., 2., 3., 4.])) np.testing.assert_equal(yy2, np.array([4., 5., 1., 2.])) def test_clean_xy_matrix(): """Test cleaning a two column matrix. Column #0 is x data, and column #1 is y data where y is a function of x. Make sure that NaN values are removed, make sure that the data is sorted by x, and make sure repeated values are removed.""" xx1 = np.array([3., 4., np.NaN, 1., 2.]) yy1 = np.array([1., 2., 3., 4., 5.]) mat1 = qc.xy_to_matrix(xx1, yy1) mat2 = qc.clean_matrix(mat1) xx2, yy2 = qc.matrix_to_xy(mat2) np.testing.assert_equal(xx2, np.array([1., 2., 3., 4.])) np.testing.assert_equal(yy2, np.array([4., 5., 1., 2.])) QMix-1.0.6/tests/test_exp_data.py000066400000000000000000000171551370151251300167430ustar00rootroot00000000000000"""Test the module that analyzes experimental data (qmix.exp.exp_data). Note: This module does not affect the QMix simulations. This module is used to analyze experimental data. This module is much easier to test by running it on experimental data and plotting the results. """ import numpy as np import pytest import qmix.exp.exp_data as qe import qmix.exp.iv_data as iv # Parameters for importing data csv_param = dict(skip_header=1, delimiter=',', usecols = (0,1)) extra_param = dict(vshot = (5.15e-3, 5.65e-3), v_fmt = 'mV', i_fmt = 'mA', area = 1.5, vgap_threshold = 105e-6, filter_data = True, filter_nwind = 21) params = {**csv_param, **extra_param} @pytest.mark.filterwarnings("ignore::FutureWarning") def test_importing_exp_data(directory='tests/exp-data/'): """Try importing experimental data and then compare the results to values that I have calculated by hand. """ ### IMPORT DC DATA ----------------------------------------------------### # Import DC data by passing file names ----------------------------------- dciv0 = qe.RawData0(directory+'dciv-data.csv', directory+'dcif-data.csv', analyze=False, **params) # Import by passing Numpy arrays ----------------------------------------- dciv_data = np.genfromtxt(directory+'dciv-data.csv', **csv_param) dcif_data = np.genfromtxt(directory+'dcif-data.csv', **csv_param) dciv1 = qe.RawData0(dciv_data, dcif_data, **params) # Import without defining vshot range ------------------------------------ tmp_param = params.copy() tmp_param['vshot'] = None dciv2 = qe.RawData0(directory+'dciv-data.csv', directory+'dcif-data.csv', analyze=False, **tmp_param) # Check IF noise value when vshot range isn't defined assert abs(dciv1.if_noise - dciv2.if_noise) < 2 # Import without DC IF file ---------------------------------------------- dciv3 = qe.RawData0(directory+'dciv-data.csv', analyze=False, **params) # Try including series resistance ---------------------------------------- dciv4 = qe.RawData0(directory+'dciv-data.csv', directory+'dcif-data.csv', analyze=False, rseries=0.5, **params) # Try using lists (shouldn't work) --------------------------------------- with pytest.raises(ValueError): dciv5 = qe.RawData0([1, 2, 3], analyze=False, **params) with pytest.raises(ValueError): dciv6 = qe.RawData0(directory+'dciv-data.csv', [1, 2, 3], analyze=False, **params) # Check some of the attributes ------------------------------------------- # Note: I calculated these by hand assert np.abs(dciv1.vgap - 2.72e-3) < 0.1e-3 assert np.abs(dciv1.rn - 13.4) < 0.2 assert np.abs(dciv1.offset[0] - 0.1e-3) < 0.01e-3 assert np.abs(dciv1.offset[1] - 9.68e-6) < 0.1e-6 ### IMPORT PUMPED DATA ------------------------------------------------### # Import pumped data by passing file name -------------------------------- pump1 = qe.RawData(directory+'f230_0_iv.csv', dciv1, directory+'f230_0_hot.csv', directory+'f230_0_cold.csv', analyze_iv=False, **params) # Import without DC IF file information ---------------------------------- # Without DC IF file tmp = params.copy() tmp['vshot'] = (5.05e-3, 5.5e-3) pump2 = qe.RawData(directory+'f230_0_iv.csv', dciv3, directory+'f230_0_hot.csv', directory+'f230_0_cold.csv', analyze_iv=False, **tmp) assert abs(pump1.if_noise - pump2.if_noise) < 3 # Import pumped data by passing Numpy array ------------------------------ csv = dict(delimiter=',', usecols=(0,1), skip_header=1) ivdata = np.genfromtxt(directory+'f230_0_iv.csv', **csv) hotdata = np.genfromtxt(directory+'f230_0_hot.csv', **csv) colddata = np.genfromtxt(directory+'f230_0_cold.csv', **csv) pump = qe.RawData(ivdata, dciv1, hotdata, colddata, freq=230.2, best_pt="Min Tn", **params) assert pump.freq == 230.2, "Wrong frequency." # Try bad values --------------------------------------------------------- # Try importing without specifying the frequency with pytest.raises(ValueError): pump = qe.RawData(ivdata, dciv1, hotdata, colddata, **params) # Try bad value for best_pt with pytest.raises(ValueError): pump = qe.RawData(ivdata, dciv1, hotdata, colddata, freq=230.2, best_pt="Best value", **params) # Try importing a list data = [1, 2, 3] with pytest.raises(ValueError): pump = qe.RawData(data, dciv1, **params) # Check some of the attributes ------------------------------------------- # Note: I calculated these by hand assert 35. < pump.tn_best < 40., "Wrong noise temperature." assert -1.2 < pump.g_db < -1.0, "Wrong conversion gain." # Check automatic frequency determination pump = qe.RawData(directory + 'f230_0_iv.csv', dciv1, analyze=False, **params) assert pump.freq == 230.0, "Wrong frequency." def test_dciv_importing_bad_units(): tmp = params.copy() tmp['i_fmt'] = 'A' _, _, dc = iv.dciv_curve('tests/exp-data/dciv-data.csv', **tmp) assert dc.rn < 1 def test_try_loading_list(): """Try loading a list (not an accepted input type).""" with pytest.raises(ValueError): _, _, _ = iv.dciv_curve([1, 2, 3]) def test_vgap_methods(): """Test methods for finding Vgap.""" # Method 1: Vgap is where the current passes _, _, dc1 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **params) # Method 2: Vgap is where the derivative is the highest tmp = params.copy() tmp['vgap_threshold'] = None _, _, dc2 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **tmp) # Both methods should be within 0.05 mV assert abs(dc1.vgap - dc2.vgap) < 0.05e-3 def test_offset_methods(): """Test methods for finding the voltage+current offsets.""" param = params.copy() # Automatic for voltage and current offset param['voffset_range'] = 0.3e-3 _, _, dc0 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **param) param['voffset_range'] = (-0.1e-3, 0.3e-3) _, _, dc1 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **param) # Set voltage offset param['voffset'] = dc1.offset[0] _, _, dc2 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **param) # Set both param['ioffset'] = dc1.offset[1] _, _, dc3 = iv.dciv_curve('tests/exp-data/dciv-data.csv', **param) # Check values assert abs(dc0.offset[0] - dc1.offset[0]) < 0.01e-3 assert abs(dc0.offset[0] - dc2.offset[0]) < 0.01e-3 assert abs(dc0.offset[0] - dc3.offset[0]) < 0.01e-3 assert abs(dc1.offset[1] - dc2.offset[1]) < 1e-6 assert abs(dc1.offset[1] - dc3.offset[1]) < 1e-6 # Load pumped I-V curve with both voffset and ioffset defined pump = iv.iv_curve('tests/exp-data/f230_0_iv.csv', dc3, **param) def test_try_importing_reflected_iv_data(): dciv_data = np.genfromtxt('tests/exp-data/dciv-data.csv', **csv_param) dciv_data.flags.writeable = False v1, i1, dc1 = iv.dciv_curve(dciv_data, **params) v2, i2, dc2 = iv.dciv_curve(dciv_data[::-1,:], **params) assert abs(dc1.vgap - dc2.vgap) < 0.05e-3 # Main ----------------------------------------------------------------------- if __name__ == "__main__": test_try_importing_reflected_iv_data() QMix-1.0.6/tests/test_harmonic_balance.py000066400000000000000000000102751370151251300204170ustar00rootroot00000000000000"""Test the module that performs harmonic balance (qmix.harmonic_balance.harmonic_balance). This module is relatively easy to test. Assuming that harmonic balance was performed correctly, the circuit should be 'balanced', meaning that the voltage drop across the junction should match the Thevenin equivalent circuit. See Section 4.3 in Garrett (2018) to understand what this means. """ import numpy as np import pytest import qmix from qmix.harmonic_balance import check_hb_error, harmonic_balance, _qtcurrent_all_freq from qmix.qtcurrent import qtcurrent from qmix.respfn import RespFnPolynomial # Response function and voltage sweep to use for all tests RESP = RespFnPolynomial(50) NPTS = 101 VBIAS = np.linspace(0, 2, NPTS) def test_relative_error_in_hb_solution(): """ The harmonic_balance module can be tested by running the harmonic balance process and then checking that the optimized voltage from the harmonic_balance function does actually lead to a balanced circuit.""" # Input parameters ------------------------------------------------------ NF = 2 # number of tones NP = 2 # number of harmonics N = NF * NP # total number of signals NB = (15, 9) # number of Bessel functions to use # Generate embedding circuit circuit = qmix.circuit.EmbeddingCircuit(NF, NP) # Photon voltage circuit.freq[1] = 0.30 circuit.freq[2] = 0.32 # Embedding voltage circuit.vt[1, 1] = circuit.freq[1] * 1.5 circuit.vt[1, 2] = circuit.freq[1] * 0.1 circuit.vt[2, 1] = circuit.freq[2] * 0.1 circuit.vt[2, 2] = circuit.freq[2] * 0.01 # Embedding impedance circuit.zt[1, 1] = 0.3 - 1j*0.3 circuit.zt[1, 2] = 0.3 - 1j*0.3 circuit.zt[2, 1] = 0.3 - 1j*0.3 circuit.zt[2, 2] = 0.3 - 1j*0.3 # Run test --------------------------------------------------------------- # Perform harmonic balance to calculate voltage across junction (vj) vj, _, solution_found = harmonic_balance(circuit, RESP, NB, stop_rerror=0.001, mode='x') assert solution_found, "No solution found. Max iterations was reached!" # This function will raise an exception if the error function exceeds # the 'stop_error' value. Here we will set this value to maximum # error of 0.001. This is a relative error: error / vj. This is checked # for every tone, harmonic and bias voltage. check_hb_error(vj, circuit, RESP, NB, stop_rerror= 0.001) def test_error_handling(): """The harmonic_balance function will tell you if it did not reach the `stop_rerror` value. Make sure that this works by only running 1 iteration (i.e., don't give harmonic_balance enough time to find the solution) and then make sure that the error flag is working.""" # Input parameters ------------------------------------------------------ NB = 15 NF = 1 NP = 1 N = NF * NP # Embedding circuit circuit = qmix.circuit.EmbeddingCircuit(NF, NP) circuit.freq[1] = 0.30 circuit.vt[1, 1] = circuit.freq[1] * 1.5 circuit.zt[1, 1] = 0.3 - 1j*0.3 # Run test --------------------------------------------------------------- # Perform harmonic balance (with impossible settings) vj, _, got_solution = harmonic_balance(circuit, RESP, NB, max_it=1, stop_rerror=0.0001, mode='x') # Make sure that no solution was found assert not got_solution, "A solution was found with only one iteration." def test_when_zthev_is_zero(): """ Harmonic balance is not needed when all of the embedding impedances are set to zero. In this test, set all thevenin impedances to zero, and make sure that the harmonic balance function just returns the embedding voltage.""" NB = 15 NF = 2 NP = 2 # Embedding circuit circuit = qmix.circuit.EmbeddingCircuit(NF, NP) circuit.freq[1] = 0.30 circuit.freq[2] = 0.32 circuit.vt[1, 1] = circuit.freq[1] * 1.5 # Calculate junction voltage (should be equal to Thevenin voltage) vj = harmonic_balance(circuit, RESP, NB) for i in range(NPTS): assert (vj[:,:,i] == circuit.vt).all() QMix-1.0.6/tests/test_if_reponse.py000066400000000000000000000026771370151251300173120ustar00rootroot00000000000000"""Test the module that imports and analyzes IF spectrum data. Note: This module does not affect the QMix simulations. This module is used to analyze experimental data. This module is much easier to test by running it on experimental data and plotting the results. """ import numpy as np import pytest from qmix.exp.if_response import if_response from qmix.exp.parameters import params as PARAMS if_data_file = 'tests/exp-data/f230_spectrum.dat' def test_importing_if_spectrum_data(): """Try import IF spectrum data. Try it once by passing the file name, and once by passing a Numpy matrix. Also, make sure there are no bad values. """ # Import IF response using the file name if_data1 = if_response(if_data_file) # Import IF response as a Numpy array if_data_array = np.genfromtxt(if_data_file, skip_header=PARAMS['ifresp_skipheader'], usecols=PARAMS['ifresp_usecols'], delimiter=PARAMS['ifresp_delimiter']) if_data2 = if_response(if_data_array) if_data2 = if_response(if_data_array.T) # Import IF response as a list with pytest.raises(ValueError): if_data3 = if_response([1, 2, 3]) # Assert that both arrays are the same np.testing.assert_equal(if_data1, if_data2) # Assert no bad values assert if_data1[1].max() <= PARAMS['ifresp_maxtn'] assert if_data1[1].min() >= 0. QMix-1.0.6/tests/test_ivcurve-models.py000066400000000000000000000061771370151251300201240ustar00rootroot00000000000000"""Test the I-V curve models (qmix.mathfn.ivcurve_models). """ import numpy as np import pytest import qmix.mathfn.ivcurve_models as iv from qmix.mathfn.misc import slope # Model parameters vgap = 3e-3 rn = 14. rsg = 5e2 agap = 5e4 a0 = 1e4 ileak = 5e-6 vnot = 2.85e-3 inot = 1e-5 anot = 2e4 ioff = 1.2e-5 def test_perfect_iv_model(): """Test the `perfect' I-V curve model.""" # Test I-V curve model x = np.array([-2., -1., 0., 1., 2.]) y = iv.perfect(x) np.testing.assert_equal(y, [-2., -0.5, 0., 0.5, 2.]) # Test KK transform x = np.array([-1e10, -1, 1, 1e10]) y = iv.perfect_kk(x) assert np.abs(y[0]) < 1e-7 assert np.abs(y[1]) == 100. assert np.abs(y[2]) == 100. assert np.abs(y[3]) < 1e-7 class TestExponentialModel: """Test the exponential I-V curve model that is used by the Chalmers goup. For example, see: H. Rashid, S. Krause, D. Meledin, V. Desmaris, A. Pavolotsky, and V. Belitsky, "Frequency Multiplier Based on Distributed Superconducting Tunnel Junctions: Theory, Design, and Characterization," IEEE Trans. Terahertz Sci. Technol., pp. 1-13, 2016. """ def test_corrected_exponential_model(self): """Test corrected model.""" # Generate I-V curve x = np.linspace(-3, 3, 201) y = iv.exponential(x, vgap=vgap, rn=rn, rsg=rsg, agap=agap) x *= vgap y *= (vgap / rn) # Calculate resistance dxdy = slope(y, x) # Check subgap resistance idx = np.abs(x).argmin() assert round(dxdy[idx], 10) == rsg # Check normal resistance idx = np.abs(x - 7.5e-3).argmin() assert round(dxdy[idx], 10) == rn def test_original_exponential_model(self): """Test original model.""" # Generate I-V curve x = np.linspace(-3, 3, 201) y = iv.exponential(x, vgap=vgap, rn=rn, rsg=rsg, agap=agap, model='original') x *= vgap y *= (vgap / rn) # Calculate resistance dxdy = slope(y, x) # Check subgap resistance idx = np.abs(x).argmin() assert rsg / 2 - 1 < round(dxdy[idx], 10) < rsg / 2 + 1 # Check normal resistance idx = np.abs(x - 7.5e-3).argmin() assert rn - 1 < round(dxdy[idx], 10) < rn def test_other_models(self): """Try using other model type.""" # Generate I-V curve x = np.linspace(-3, 3, 201) with pytest.raises(ValueError): y = iv.exponential(x, vgap=vgap, rn=rn, rsg=rsg, agap=agap, model='other') def test_expanded_model(): """Test the expanded I-V curve model.""" # Generate I-V curve x = np.linspace(-2, 2, 201) y = iv.expanded(x, vgap=vgap, rn=rn, rsg=rsg, agap=agap, a0=a0, ileak=ileak, vnot=vnot, inot=inot, anot=anot, ioff=ioff) x *= vgap y *= (vgap / rn) # Calculate resistance dxdy = slope(y, x) # Calculate sub-gap resistance idx = np.abs(x - 2e-3).argmin() assert round(dxdy[idx], 2) == rsg # Calculate normal resistance idx = np.abs(x - 5e-3).argmin() assert round(dxdy[idx], 2) == rn QMix-1.0.6/tests/test_kktrans.py000066400000000000000000000032601370151251300166230ustar00rootroot00000000000000"""Test the Kramers-Kronig transform module (qmix.mathfn.kktrans). This module contains functions that can be used to calculate the Kramers-Kronig transform. This is used to generate the real component of the response function from a DC I-V curve. Note: Future warnings (FutureWarning) are raised by the SciPy module. I ignore these using the decorators seen below. """ import numpy as np import pytest from qmix.mathfn.ivcurve_models import polynomial from qmix.mathfn.kktrans import kk_trans, kk_trans_trapz @pytest.mark.filterwarnings("ignore::FutureWarning") def test_compare_kk_techniques(): """This module contains two different functions for calculating the Kramers-Kronig transform. Make sure that they (roughly) produce the same results.""" # Generate DC I-V curve voltage = np.linspace(-5, 5, 10001) current = polynomial(voltage, 50) # Find KK transform with technique #1 (uses an FFT) ikk1 = kk_trans(voltage, current) # Find KK transform with technique #2 (uses a trapezoidal integration) ikk2 = kk_trans_trapz(voltage, current) # Don't test very limits (these are off but that's okay) mask = (-4.5 < voltage) & (voltage < 4.5) # Compare the two techniques np.testing.assert_almost_equal(ikk1[mask], ikk2[mask], decimal=3) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_uneven_voltage_array(): """Both techniques should raise errors if the x data is not evenly spaced. Make sure that this works.""" x = np.array([0, 0.1, 0.5, 1., 1.5]) y = polynomial(x, 50) with pytest.raises(AssertionError): kk_trans(x, y) with pytest.raises(AssertionError): kk_trans_trapz(x, y) QMix-1.0.6/tests/test_mathfn.py000066400000000000000000000023141370151251300164220ustar00rootroot00000000000000"""Test the basic math functions that are included in QMix (qmix.mathfn.misc). This includes two functions that are used to calculate basic derivatives. """ import pytest import numpy as np from qmix.mathfn.misc import slope, slope_span_n # Test data SLOPE = 3. INTERCEPT = 5. X = np.linspace(0, 10, 1001) Y = X * SLOPE + INTERCEPT def test_slope(): """This function will take a simple derivative. Note that it is a centered derivative. For example, to find the derivative at index=10, this function will calculate the rise/run using the data at index=9 and index=11.""" derivative = slope(X, Y) np.testing.assert_almost_equal(derivative, SLOPE, decimal=10) def test_slope_span_n(): """This function will take a simple derivative. Note that it is a centered derivative. For example, to find the derivative at index=10, this function will calculate the rise/run using the data at index=10-N/2 and index=11+N/2 where N is the span of the derivative.""" derivative = slope_span_n(X, Y, 11) np.testing.assert_almost_equal(derivative, SLOPE, decimal=10) # Span must be an uneven number with pytest.raises(AssertionError): derivative = slope_span_n(X, Y, 10) QMix-1.0.6/tests/test_qtcurrent.py000066400000000000000000000511561370151251300172040ustar00rootroot00000000000000"""Test the qmix.qtcurrent module. This is the module that calculates the quasiparticle tunneling currents. This is the most difficult module to test because there are no "known" values to compare against. """ import pytest import numpy as np from scipy.special import jv import qmix from qmix.qtcurrent import qtcurrent, interpolate_respfn, calculate_phase_factor_coeff from qmix.circuit import EmbeddingCircuit RESP = qmix.respfn.RespFnPolynomial(50) # response function for testing VBIAS = np.linspace(0, 2, 101) # bias voltage for testing def test_compare_qtcurrent_to_tucker_theory(): """This test will compare the quasiparticle tunneling currents that are calculated by qmix.qtcurrent to results calculated from Tucker theory (Tucker & Feldman, 1985). Tucker theory uses much simpler equations to calculate the tunneling currents, so it is easier to be sure that the Tucker functions are working properly. The functions that are used calculate the currents from Tucker theory are found at the bottom of this file. Note: The Tucker theory functions that are included within this file only work for a single tone/single harmonic simulation.""" # Build embedding circuit cct = EmbeddingCircuit(1, 1, vb_min=0, vb_npts=101) freq = 0.33 cct.freq[1] = freq # Set voltage across junction to Vph * 0.8 alpha = 0.8 vj = cct.initialize_vj() vj[1, 1, :] = cct.freq[1] * alpha # Calculate QTC using QMix idc_qmix = qtcurrent(vj, cct, RESP, 0.) # DC iac_qmix = qtcurrent(vj, cct, RESP, cct.freq[1]) # AC # Calculate QTC using Tucker theory idc_tucker = _tucker_dc_current(VBIAS, RESP, alpha, freq) # DC iac_tucker = _tucker_ac_current(VBIAS, RESP, alpha, freq) # AC # Compare methods np.testing.assert_almost_equal(idc_qmix, idc_tucker, decimal=15) np.testing.assert_almost_equal(iac_qmix, iac_tucker, decimal=15) # Note: All arrays in my software use data type 'complex128'. This gives # 64 bits to the floating point real number and 64 bits to the floating # point imaginary number. Each floating point number then gets: # - 1 sign bit # - 11 exponent bits # - 52 mantissa bits # 52 mantissa bits gives roughly 15-17 significant figure accuracy in # decimal notation. Therefore, if the average absolute error is on the # order of 1e-15 to 1e-17, the comparison should be considered a success. def test_effect_of_adding_more_tones(): """This function simulates the QTCs using a 1 tone/1 harmonic simulation. Then, more and more tones are added except only the first tone is ever excited. This should result in the same tunnelling currents being calculated in each simulation. Note: 1, 2, 3 and 4 tone simulations use different calculation techniques, so this test should make sure that they are all equivalent.""" num_b = (9, 2, 2, 2) alpha1 = 0.8 # drive level, tone 1 freq1 = 0.33 # frequency, tone 1 # Setup 1st tone for comparison ------------------------------------------ num_f = 1 num_p = 1 cct1 = EmbeddingCircuit(num_f, num_p) cct1.freq[1] = freq1 vj = cct1.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 i1 = qtcurrent(vj, cct1, RESP, cct1.freq, num_b) idc1 = np.real(i1[0, :]) iac1 = i1[1, :] # 2 tones ---------------------------------------------------------------- num_f = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] cct.freq[2] = cct1.freq[1] + 0.05 vj = cct.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 i2 = qtcurrent(vj, cct, RESP, cct.freq, num_b) idc2 = np.real(i2[0, :]) iac2 = i2[1, :] # 3 tones ---------------------------------------------------------------- num_f = 3 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] cct.freq[2] = cct1.freq[1] + 0.05 cct.freq[3] = cct1.freq[1] + 0.10 vj = cct.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 i3 = qtcurrent(vj, cct, RESP, cct.freq, num_b) idc3 = np.real(i3[0, :]) iac3 = i3[1, :] # 4 tones ---------------------------------------------------------------- num_f = 4 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] cct.freq[2] = cct1.freq[1] + 0.05 cct.freq[3] = cct1.freq[1] + 0.10 cct.freq[4] = cct1.freq[1] + 0.15 vj = cct.initialize_vj() vj[1, 1, :] = cct.freq[1] * alpha1 i4 = qtcurrent(vj, cct, RESP, cct.freq, num_b) idc4 = np.real(i4[0, :]) iac4 = i4[1, :] # Compare results -------------------------------------------------------- # Compare methods # dc np.testing.assert_equal(idc1, idc2) np.testing.assert_equal(idc1, idc3) np.testing.assert_equal(idc1, idc4) # ac np.testing.assert_equal(iac1, iac2) np.testing.assert_equal(iac1, iac3) np.testing.assert_equal(iac1, iac4) # ensure all other tones are zero np.testing.assert_equal(i2[2, :], np.zeros_like(i2[2, :])) np.testing.assert_equal(i3[2, :], np.zeros_like(i3[2, :])) np.testing.assert_equal(i3[3, :], np.zeros_like(i3[3, :])) np.testing.assert_equal(i4[2, :], np.zeros_like(i4[2, :])) np.testing.assert_equal(i4[3, :], np.zeros_like(i4[3, :])) np.testing.assert_equal(i4[4, :], np.zeros_like(i4[4, :])) def test_effect_of_adding_more_harmonics(): """This test calculates the QTCs using a 1 tone/1 harmonic simulation. Then, more and more harmonics are added except only the first harmonic is ever excited. This should result in the same tunnelling currents being calculated in each simulation.""" num_b = 9 alpha1 = 0.8 # drive level, harmonic 1 freq1 = 0.33 # frequency, harmonic 1 # Setup 1st tone for comparison ------------------------------------------ num_f = 1 num_p = 1 cct1 = EmbeddingCircuit(num_f, num_p) cct1.freq[1] = freq1 vj = cct1.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 freq_list = [0, freq1] i1 = qtcurrent(vj, cct1, RESP, freq_list, num_b) idc1 = i1[0, :].real # 2 harmonics ------------------------------------------------------------ num_p = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] vj = cct.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 freq_list = [0, freq1, freq1*2] i2 = qtcurrent(vj, cct, RESP, freq_list, num_b) idc2 = i2[0, :].real # 3 harmonics ------------------------------------------------------------ num_p = 3 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] vj = cct.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 freq_list = [0, freq1, freq1*2, freq1*3] i3 = qtcurrent(vj, cct, RESP, freq_list, num_b) idc3 = i3[0, :].real # 4 harmonics ------------------------------------------------------------ num_p = 4 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = cct1.freq[1] vj = cct.initialize_vj() vj[1, 1, :] = cct1.freq[1] * alpha1 freq_list = [0, freq1, freq1*2, freq1*3, freq1*4] i4 = qtcurrent(vj, cct, RESP, freq_list, num_b) idc4 = i4[0, :].real # Compare results -------------------------------------------------------- # Compare methods # dc np.testing.assert_equal(idc1, idc2) np.testing.assert_equal(idc1, idc3) np.testing.assert_equal(idc1, idc4) # ac at fundamental np.testing.assert_equal(i1[1, :], i2[1, :]) np.testing.assert_equal(i1[1, :], i3[1, :]) np.testing.assert_equal(i1[1, :], i4[1, :]) # ac at 2nd harmonic np.testing.assert_equal(i2[2, :], i3[2, :]) np.testing.assert_equal(i2[2, :], i4[2, :]) # ac at 3rd harmonic np.testing.assert_equal(i3[3, :], i4[3, :]) def test_setting_up_simulation_using_different_harmonic(): """Simulate the QTCs using a one tone/one harmonic simulation. Then simulate the same setup using a higher-order harmonic. For example, simulate a signal at 200 GHz. Then simulate the second-harmonic from a 100 GHz fundamental tone. Both simulations should provide the same result.""" num_b = 15 # number of Bessel functions to include num_f = 1 # number of frequencies freq = 0.3 # frequency, normalized alpha = 0.8 # drive level # Basic simulation for comparison ---------------------------------------- num_p = 1 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = freq vj = cct.initialize_vj() vj[1, 1, :] = freq * alpha i1 = qtcurrent(vj, cct, RESP, cct.freq, num_b) i1_dc = i1[0].real i1_ac = i1[-1] # Using a fundamental tone that is half the original frequency ----------- num_p = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = freq / 2. vj = cct.initialize_vj() vj[1, 2, :] = freq * alpha freq_list = [0, freq/2., freq] i2 = qtcurrent(vj, cct, RESP, freq_list, num_b*2) i2_dc = i2[0].real i2_ac = i2[-1] # Compare methods # dc np.testing.assert_almost_equal(i1_dc, i2_dc, decimal=15) # ac at fundamental np.testing.assert_almost_equal(i1_ac, i2_ac, decimal=15) # lower order harmonics should all be zero np.testing.assert_equal(i2[1], np.zeros_like(i2[1])) def test_effect_of_adding_more_tones_on_if(): """Calculate the IF signal that is generated by a simple 2 tone simulation. Then, add the IF frequency to the simulation. This should not have any effect on the IF results.""" alpha1 = 0.8 freq1 = 0.3 freq2 = 0.35 freq_list = [0, freq1, freq2] num_b = (9, 5, 5, 5) # 2 tones ---------------------------------------------------------------- num_f = 2 num_p = 1 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = freq1 cct.freq[2] = freq2 vj = cct.initialize_vj() vj[1, 1, :] = cct.freq[1] * alpha1 vj[2, 1, :] = 1e-5 idc2, ilo2, iif2 = qtcurrent(vj, cct, RESP, freq_list, num_b) # 3 tones ---------------------------------------------------------------- num_f = 3 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = freq1 cct.freq[2] = freq2 cct.freq[3] = abs(freq1 - freq2) vj = cct.initialize_vj() vj[1, 1, :] = cct.freq[1] * alpha1 vj[2, 1, :] = 1e-5 idc3, ilo3, iif3 = qtcurrent(vj, cct, RESP, freq_list, num_b) # Compare results -------------------------------------------------------- # Compare methods np.testing.assert_almost_equal(idc2, idc3, decimal=15) np.testing.assert_almost_equal(iif2.real, iif3.real, decimal=15) np.testing.assert_almost_equal(iif2.imag, iif3.imag, decimal=15) def test_excite_different_tones(): """Calculate the QTCs using a 4 tone simulation. Do this 4 times, each time exciting a different tone. Each simulation should be the same.""" # input signal properties vj_set = 0.25 # 1st tone excited num_f = 4 num_p = 1 num_b = (9, 3, 3, 3) cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.3 cct.freq[2] = 0.4 cct.freq[3] = 0.5 cct.freq[4] = 0.6 vj = cct.initialize_vj() vj[1, 1, :] = vj_set idc1 = qtcurrent(vj, cct, RESP, 0, num_b) # 2nd tone excited num_f = 4 num_p = 1 num_b = (3, 9, 3, 3) cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.4 cct.freq[2] = 0.3 cct.freq[3] = 0.5 cct.freq[4] = 0.6 vj = cct.initialize_vj() vj[2, 1, :] = vj_set idc2 = qtcurrent(vj, cct, RESP, 0, num_b) # 3rd tone excited num_f = 4 num_p = 1 num_b = (3, 3, 9, 3) cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.5 cct.freq[2] = 0.4 cct.freq[3] = 0.3 cct.freq[4] = 0.6 vj = cct.initialize_vj() vj[3, 1, :] = vj_set idc3 = qtcurrent(vj, cct, RESP, 0, num_b) # 4th tone excited num_f = 4 num_p = 1 num_b = (3, 3, 3, 9) cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.6 cct.freq[2] = 0.4 cct.freq[3] = 0.5 cct.freq[4] = 0.3 vj = cct.initialize_vj() vj[4, 1, :] = vj_set idc4 = qtcurrent(vj, cct, RESP, 0, num_b) # Compare methods np.testing.assert_almost_equal(idc1, idc2, decimal=15) np.testing.assert_almost_equal(idc1, idc3, decimal=15) np.testing.assert_almost_equal(idc1, idc4, decimal=15) def test_interpolation_of_respfn(): """The qmix.qtcurrent module contains a function that will pre-interpolate the response function. This speeds up the calculations. This test will ensure that this function is interpolating the response function correctly.""" a, b, c, d = 4, 3, 2, 4 num_p = 1 # test 1 tone ------------------------------------------------------------ num_f = 1 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.30 interp_matrix = interpolate_respfn(cct, RESP, num_b=5) vtest = cct.vb + a * cct.freq[1] np.testing.assert_equal(interp_matrix[a, :], RESP(vtest)) # test 2 tones ----------------------------------------------------------- num_f = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.30 cct.freq[2] = 0.35 interp_matrix = interpolate_respfn(cct, RESP, num_b=5) vtest = cct.vb + a * cct.freq[1] + b * cct.freq[2] np.testing.assert_equal(interp_matrix[a, b, :], RESP(vtest)) # test 3 tones ----------------------------------------------------------- num_f = 3 num_p = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.30 cct.freq[2] = 0.35 cct.freq[3] = 0.40 interp_matrix = interpolate_respfn(cct, RESP, num_b=5) vtest = cct.vb + a * cct.freq[1] + b * cct.freq[2] + c * cct.freq[3] np.testing.assert_equal(interp_matrix[a, b, c, :], RESP(vtest)) # test 4 tones ----------------------------------------------------------- num_f = 4 num_p = 2 cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.30 cct.freq[2] = 0.35 cct.freq[3] = 0.40 cct.freq[4] = 0.45 interp_matrix = interpolate_respfn(cct, RESP, num_b=5) vtest = cct.vb + a * cct.freq[1] + b * cct.freq[2] + c * cct.freq[3] + d * cct.freq[4] np.testing.assert_equal(interp_matrix[a, b, c, d, :], RESP(vtest)) # test 5 tones ----------------------------------------------------------- # should raise an error cct.num_f = 5 with pytest.raises(ValueError): _ = interpolate_respfn(cct, RESP, num_b=5) def test_phase_factor_coefficients(): """This test will generate the phase factor coefficients (see Eqns. 5.7 5.12 in Kittara's thesis) once using the calculate_phase_factor_coeff() function from the qmix.qtcurrent module, and once using the _calculate_phase_factor_coeff() function found at the bottom of this file. The code found in the _calculate_phase_factor_coeff() function was taken from an old version of the QMix code. It is much simpler than the current version because it hasn't been optimized. It is relatively easy to ensure that this code is correct. In this way, we can use it to validate the optimized code.""" # Generate dummy input values num_f = 4 # Number of tones num_p = 2 # Number of harmonics num_b = 15 # Number of Bessel functions cct = EmbeddingCircuit(num_f, num_p) cct.freq[1] = 0.30 # LO cct.freq[2] = 0.33 # USB cct.freq[3] = 0.27 # LSB cct.freq[4] = 0.03 # IF vj = cct.initialize_vj() vj[1, 1, :] = 0.30 * np.exp(1j * 2.0) vj[2, 1, :] = 0.10 * np.exp(1j * 1.5) vj[3, 1, :] = 0.10 * np.exp(1j * -0.3) vj[4, 1, :] = 0.00 * np.exp(1j * 1.0) vj[1, 2, :] = 0.03 * np.exp(1j * 0.2) vj[2, 2, :] = 0.01 * np.exp(1j * -1.7) vj[3, 2, :] = 0.01 * np.exp(1j * -0.2) vj[4, 2, :] = 0.00 * np.exp(1j * -1.5) ckh_known = _calculate_phase_factor_coeff(vj, cct.freq, num_f, num_p, num_b) ckh_qmix = calculate_phase_factor_coeff(vj, cct.freq, num_f, num_p, num_b) np.testing.assert_almost_equal(ckh_qmix, ckh_known, decimal=12) # Tucker theory -------------------------------------------------------------- # These functions will calculate the QTCs using the equations found in: # J. R. Tucker and M. J. Feldman, "Quantum detection at millimeter # wavelengths," Reviews of Modern Physics, vol. 57, no. 4, pp. 1055-1113, # Oct. 1985. def _tucker_dc_current(voltage, resp, alpha, v_ph, num_b=20): """Calculate the DC tunneling current for a single tone/harmonic using Tucker theory. This gives the pumped I-V curve. This is equation 3.3 in Tucker's 1985 paper. Args: voltage: normalized bias voltage resp: response function, instance of qmix.respfn.RespFn class alpha: junction drive level v_ph: equivalent frequency num_b: number of Bessel functions to include Returns: DC tunneling current """ i_dc = np.zeros(len(voltage), dtype=float) for n in range(-num_b, num_b + 1): i_dc += jv(n, alpha)**2 * np.imag(resp(voltage + n * v_ph)) return i_dc def _tucker_ac_current(voltage, resp, alpha, v_ph, num_b=20): """Calculate the AC tunneling current for a single tone/harmonic using Tucker theory. Args: voltage: normalized bias voltage resp: response function, instance of qmix.respfn.RespFn class alpha: junction drive level v_ph: frequency num_b: truncate the bessel functions at this order Returns: AC tunneling current """ i_ac = np.zeros(len(voltage), dtype=complex) for n in range(-num_b, num_b + 1): # Real component i_ac += (jv(n, alpha) * (jv(n - 1, alpha) + jv(n + 1, alpha)) * resp.idc(voltage + n * v_ph)) # Imaginary component i_ac += (1j * jv(n, alpha) * (jv(n - 1, alpha) - jv(n + 1, alpha)) * resp.ikk(voltage + n * v_ph)) return i_ac # Phase factor coefficients -------------------------------------------------- # These functions will calculate the phase factor coefficients (Eqns. 5.7 and # 5.12 in Kittara's thesis). In QMix, this is performed by the # qmix.qtcurrent.calculate_phase_factor_coeff() function. The code below was # taken from an old version that worked. I use it now to generate known good # values. That way, I can optimize the function in QMix and know that it still # produces good values. def _calculate_phase_factor_coeff(vj, freq, num_f, num_p, num_b): """Calculate the convolution coefficients for each tone. This code was taken from qmix.qtcurrent.calculate_phase_factor_coeff() I have since optimized qmix.qtcurrent._convolution_coefficient(), so this code here is to ensure that the new optimized function still returns the same results. Args: vj (ndarray): Voltage across the SIS junction freq (ndarray): Photon voltages num_f (int): Number of non-harmonically related frequencies num_p (int): Number of harmonics num_b (int): Number of Bessel functions Returns: ndarray: Coefficients """ # Number of bias voltage points npts = len(vj[0, 0, :]) # Number of Bessel functions to include if isinstance(num_b, int): num_b = tuple([num_b] * num_f) # Junction drive level: # alpha[f, p, i] in R^(num_f+1)(num_p+1)(npts) alpha = np.zeros_like(vj, dtype=float) for f in range(1, num_f + 1): for H in range(1, num_p + 1): alpha[f, H, :] = np.abs(vj[f, H, :]) / (H * freq[f]) # Junction voltage phase: # phi[f, p, i] in R^(num_f+1)(num_p+1)(npts) phi = np.angle(vj) # in radians # Complex coefficients from the Jacobi-Anger equality: # anp[f, p, n, i] in C^(num_f+1)(num_p+1)(num_b*2+1)(npts) # Equation 5.7 in Kittara's thesis anp = np.zeros((num_f + 1, num_p + 1, max(num_b) * 2 + 1, npts), dtype=complex) for f in range(1, num_f + 1): for H in range(1, num_p + 1): for n in range(-num_b[f - 1], num_b[f - 1] + 1): anp[f, H, n] = jv(n, alpha[f, H]) * np.exp(-1j * n * phi[f, H]) # Phase factor coefficients: # cc[f, k, i] in C^(num_f+1)(num_b*2+1)(npts) # Eqn. 5.12 in Kittara's thesis _, num_p, num_b, _ = anp.shape num_p -= 1 # number of harmonics num_b = (num_b - 1) // 2 # number of bessel functions ckh_last = anp[:, 1, :, :] if num_p != 1: for H in range(2, num_p + 1): ckh_next = np.zeros_like(ckh_last) for k in range(-num_b, num_b + 1): for m in range(-num_b, num_b + 1): idx = k - H * m if -num_b <= idx <= num_b: ckh_next[1:, k] += ckh_last[1:, idx] * anp[1:, H, m] ckh_last = ckh_next # # DEBUG # import matplotlib.pyplot as plt # plt.figure() # for f in range(1, num_f+1): # # plt.stem(freq[f]*np.arange(-num_b, num_b+1), np.abs(cc_out[f, :, 70])) # plt.stem(np.abs(cc_out[f, :, 70])) # plt.show() return ckh_last QMix-1.0.6/tests/test_respfn.py000066400000000000000000000123121370151251300164410ustar00rootroot00000000000000"""Test the module that is used to generate the response function (qmix.respfn). This classes in this module (based on qmix.respfn.RespFn) will: 1. Either generate the DC I-V curve using some sort of model (from qmix.mathfn.ivcurve_models) or import the DC I-V curve from experimental data. (The DC I-V curve is the imaginary component of the response function.) 2. Calculate the Kramers-Kronig transform of the DC I-V curve using the qmix.mathfn.kktrans module. The KK trans of the DC I-V curve is the real component of the response function. 3. Sample the response function such that there are more sample points in the 'curvier' regions of the response function. 4. Set up the spline interpolation so that the response function can be interpolated very quickly when calculating the tunneling currents (i.e., in the qmix.qtcurrent module). The most important thing to test in this module is that the response function is interpolated correctly. (The I-V curve models and the KK transform are tested in different pytests.) To test these classes: 1. Generate the response function. 2. Interpolate the response function using a very high density of bias voltages. 3. Compare these interpolated values to known values. """ import os import tempfile import matplotlib.pyplot as plt import numpy as np import pytest import qmix from qmix.mathfn.ivcurve_models import (expanded, exponential, perfect, polynomial) from qmix.respfn import * MAX_INTERP_ERROR = 0.01 # 1% allowable max error when interpolating @pytest.mark.filterwarnings("ignore::FutureWarning") def test_RespFnFromIVData(): """Try generating a response function using voltage and current data.""" # Use a model to genereate a DC I-V curve voltage = np.linspace(-1, 10, 2001) current = qmix.mathfn.ivcurve_models.polynomial(voltage, 50) # Generate response function using the DC I-V curve from the model resp = RespFnFromIVData(voltage, current) print(resp) # High-density interpolation i_resp = resp._f_idc(voltage) # Check interpolated values max_diff = np.abs(i_resp - current).max() assert max_diff < MAX_INTERP_ERROR @pytest.mark.filterwarnings("ignore::FutureWarning") def test_polynomial(): """Try generating a response function using the polynomial model.""" # Order of polynomial model order = 50 # Known values v = np.linspace(0, 2, 501) current = qmix.mathfn.ivcurve_models.polynomial(v, order) # Interpolated values resp = RespFnPolynomial(order, check_error=True) print(resp) i_resp = resp._f_idc(v) # Check interpolated values max_diff = np.abs(i_resp - current).max() assert max_diff < MAX_INTERP_ERROR # Check resp_swap and resp_conj voltage = np.linspace(0, 2, 201) resp1 = resp.resp_swap(voltage) resp2 = 1j * resp.resp_conj(voltage) np.testing.assert_equal(resp1, resp2) # Check derivative of I-V curve vb = np.linspace(0, 2, 201) idc0 = resp.didc(vb) assert abs(idc0[-1] - 1.) < 1e-10 assert abs(idc0[0]) < 1e-10 idx_max = idc0.argmax() assert idx_max == 100 # Check derivative of KK transform vb = np.linspace(0, 2, 201) ikk0 = resp.dikk(vb) assert ikk0[99] > 0. assert ikk0[101] < 0. assert ikk0[100] < ikk0[99] assert ikk0[100] > ikk0[101] @pytest.mark.filterwarnings("ignore::FutureWarning") def test_exponential_interpolation(): """Try generating a response function using the exponential model.""" # Parameters for exponential model v_gap = 2.8e-3 r_sg = 1000 r_n = 14 a_g = 4e4 # Known values v = np.linspace(0, 2, 501) current = exponential(v, v_gap, r_n, r_sg, a_g) # Interpolated values resp = RespFnExponential(v_gap, r_n, r_sg, a_g) print(resp) i_resp = resp._f_idc(v) # Check interpolated values max_diff = np.abs(i_resp - current).max() assert max_diff < MAX_INTERP_ERROR def test_perfect_interpolation(): """Test 'perfect' response function.""" # Generate response function resp = RespFnPerfect() print(resp) # Check individual DC I-V values using known values assert resp.idc(-2.0) == -2. assert resp.idc(-1.0) == -0.5 assert resp.idc(0.00) == 0. assert resp.idc(0.99) == 0 assert resp.idc(1.00) == 0.5 assert resp.idc(1.01) == 1.01 assert resp.idc(2.00) == 2. # Check individual KK values using known values assert resp._f_ikk(-1e10) < 1e-7 assert resp._f_ikk(-1.0) >= 100 assert resp._f_ikk(1.00) >= 100 assert resp._f_ikk(1e10) < 1e-7 def test_smearing_perfect_respfn(): """Try smearing the perfect model. The RespFn class has an option to 'smear' the DC I-V curve. This can help to model heating. The 'smear' convolves the DC I-V curve with a Gaussian distribution of a given std dev.""" # Generate 'smeared' response function resp = RespFnPerfect(v_smear=0.05) print(resp) # Check DC I-V curve # The smear should only affect the region around the transition # It should NOT introduce any sort of offset (which we will check now) x = np.array([0., 0.5, 1.5, -1.5]) y = resp.idc(x) np.testing.assert_almost_equal(y, [0., 0., 1.5, -1.5], 5) QMix-1.0.6/validation/000077500000000000000000000000001370151251300145245ustar00rootroot00000000000000QMix-1.0.6/validation/Kittara2002.ipynb000066400000000000000000017153261370151251300175110ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Kittara 2002\n", "\n", "This notebook will recreate some of the plots from:\n", "\n", "> P. Kittara, “The Development of a 700 GHz SIS Mixer with Nb Finline Devices: Nonlinear Mixer Theory, Design Techniques and Experimental Investigation,†University of Cambridge, 2002." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Std modules\n", "import numpy as np\n", "import matplotlib.pyplot as plt \n", "import matplotlib as mpl \n", "\n", "# QMix\n", "import qmix\n", "from qmix.qtcurrent import qtcurrent\n", "from qmix.respfn import RespFn, RespFnPolynomial\n", "from qmix.mathfn.ivcurve_models import polynomial\n", "from qmix.mathfn.kktrans import kk_trans\n", "from qmix.harmonic_balance import harmonic_balance" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set plotting style to mimick the plots in his thesis." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# X axis\n", "mpl.rcParams['xtick.top'] = True\n", "mpl.rcParams['xtick.direction'] = 'in'\n", "mpl.rcParams['xtick.labelsize'] = 14\n", "mpl.rcParams['xtick.major.size'] = 5\n", "mpl.rcParams['xtick.major.width'] = 1\n", "mpl.rcParams['xtick.minor.size'] = 2\n", "mpl.rcParams['xtick.minor.width'] = 1\n", "\n", "# Y axis\n", "mpl.rcParams['ytick.right'] = True\n", "mpl.rcParams['ytick.direction'] = 'in'\n", "mpl.rcParams['ytick.labelsize'] = 14\n", "mpl.rcParams['ytick.major.size'] = 5\n", "mpl.rcParams['ytick.major.width'] = 1\n", "mpl.rcParams['ytick.minor.size'] = 2\n", "mpl.rcParams['ytick.minor.width'] = 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.4" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# bias voltage sweep\n", "voltage = np.linspace(-5, 5, 1001)\n", "\n", "# DC current\n", "current1 = polynomial(voltage, 10)\n", "current2 = polynomial(voltage, 30)\n", "current3 = polynomial(voltage, 50)\n", "current4 = polynomial(voltage, 100)\n", "\n", "# Kramers-Kronig transform\n", "current_kk1 = kk_trans(voltage, current1)\n", "current_kk2 = kk_trans(voltage, current2)\n", "current_kk3 = kk_trans(voltage, current3)\n", "current_kk4 = kk_trans(voltage, current4)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "color_cycle = ['r', 'lime', 'b', 'k']\n", "\n", "plt.figure(figsize=(12, 5))\n", "\n", "plt.subplot(121)\n", "plt.plot(voltage, current4, label='n = 100', linewidth=1.2, c=color_cycle[0])\n", "plt.plot(voltage, current3, label='n = 50', linewidth=1.2, c=color_cycle[1])\n", "plt.plot(voltage, current2, label='n = 30', linewidth=1.2, c=color_cycle[2])\n", "plt.plot(voltage, current1, label='n = 10', linewidth=1.2, c=color_cycle[3])\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "plt.xlim([0, 2])\n", "plt.ylim([0, 2])\n", "plt.xlabel('Bias Voltage', fontsize=12)\n", "plt.ylabel('DC current', fontsize=12)\n", "leg = plt.legend(loc=0, frameon=False, fontsize=11)\n", "for i, text in enumerate(leg.get_texts()):\n", " plt.setp(text, color=color_cycle[i])\n", " \n", "plt.subplot(122)\n", "plt.plot(voltage, current_kk4, label='n = 100', linewidth=1.2, c=color_cycle[0])\n", "plt.plot(voltage, current_kk3, label='n = 50', linewidth=1.2, c=color_cycle[1])\n", "plt.plot(voltage, current_kk2, label='n = 30', linewidth=1.2, c=color_cycle[2])\n", "plt.plot(voltage, current_kk1, label='n = 10', linewidth=1.2, c=color_cycle[3])\n", "plt.axhline(0, color='k', linestyle='--', lw=1)\n", "plt.yticks(np.arange(-1, 2.1, 0.5))\n", "plt.xlim([0, 2])\n", "plt.ylim([-1, 2])\n", "plt.xlabel('Bias Voltage', fontsize=12)\n", "plt.ylabel('Kramers-Kronig transform', fontsize=12)\n", "leg = plt.legend(loc=0, frameon=False, fontsize=11)\n", "for i, text in enumerate(leg.get_texts()):\n", " plt.setp(text, color=color_cycle[i]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.5" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Response function\n", "resp = RespFnPolynomial(50, verbose=False)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "num_f = 1 # Number of tones\n", "num_p = 1 # Number of harmonics\n", "num_b = 15 # Maximum order of Bessel function\n", "\n", "# Embedding circuit\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p)\n", "\n", "# Frequencies to calculate\n", "freq_list = (0, cct.freq[1])" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,6))\n", "plt.plot(resp.voltage, resp.current, 'r')\n", "\n", "w_list = [0.1, 0.3, 0.5, 0.7, 0.9]\n", "colourlist = ['lime', 'b', 'magenta', 'cyan', 'yellow']\n", "for i, wlo in enumerate(w_list):\n", "\n", " cct.freq[1] = wlo\n", " cct.vt[1, 1] = cct.freq[1] * 1.0\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, idc, colourlist[i], label=wlo)\n", "\n", "plt.xlabel('Bias Voltage', fontsize=12)\n", "plt.ylabel('DC Current', fontsize=12)\n", "plt.xticks(np.arange(0, 2.1, 0.5))\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "plt.ylim([0, 2])\n", "plt.xlim([0, 2])\n", "plt.grid();\n", "# plt.legend(title='Vph');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.6" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Response function\n", "resp = RespFnPolynomial(50, verbose=False)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "num_f = 1 # Number of tones\n", "num_p = 1 # Number of harmonics\n", "num_b = 40 # Maximum order of Bessel function\n", "\n", "# Embedding circuit\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p)\n", "\n", "# Frequencies to calculate\n", "freq_list = (0, cct.freq[1])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "a_list1 = [0.5, 1.0, 2.0, 3.0, 4.0, 30.0]\n", "a_list2 = [0.5, 1.0, 1.5, 2.0, 30.0]\n", "colourlist = ['lime', 'b', 'magenta', 'cyan', 'yellow', 'k']\n", "\n", "plt.figure(figsize=(14, 5))\n", "plt.subplot(121)\n", "plt.plot(resp.voltage, resp.current, 'r')\n", "for i, alpha in enumerate(a_list1):\n", "\n", " cct.freq[1] = 0.2\n", " cct.vt[1, 1] = cct.freq[1] * alpha\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, idc, colourlist[i])\n", "\n", "plt.text(0.4, 1.7, r'$\\omega^{{LO}}=0.2$', fontsize=20)\n", "plt.xlabel('Bias Voltage', fontsize=12)\n", "plt.ylabel('DC Current', fontsize=12)\n", "plt.xticks(np.arange(0, 2.1, 0.5))\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "plt.ylim([0, 2])\n", "plt.xlim([0, 2])\n", "\n", "colourlist = ['lime', 'b', 'magenta', 'yellow', 'k']\n", "\n", "count = 0\n", "plt.subplot(122)\n", "plt.plot(resp.voltage, resp.current, 'r')\n", "for i, alpha in enumerate(a_list2):\n", "\n", " cct.freq[1] = 0.9\n", " cct.vt[1, 1] = cct.freq[1] * alpha\n", " freq_list = (0, cct.freq[1])\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, idc, colourlist[i])\n", "\n", "plt.text(0.4, 1.7, r'$\\omega^{{LO}}=0.90$', fontsize=20)\n", "plt.xlabel('Bias Voltage', fontsize=12)\n", "plt.ylabel('DC Current', fontsize=12)\n", "plt.xticks(np.arange(0, 2.1, 0.5))\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "plt.ylim([0, 2])\n", "plt.xlim([0, 2]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.7" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# Response function\n", "resp = RespFnPolynomial(50, verbose=False)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "num_f = 1 # Number of tones\n", "num_p = 4 # Number of harmonics\n", "num_b = 15 # Maximum order of Bessel function\n", "\n", "# Embedding circuit\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p, vb_min=0.85, vb_max=0.85, vb_npts=1)\n", "\n", "cct.freq[1] = 0.3\n", "\n", "# Frequencies to calculate\n", "freq_list = (0, cct.freq[1], cct.freq[1]*2, cct.freq[1]*3)\n", "\n", "alpha = 1." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "def make_pos(phase_array):\n", " npts = np.alen(phase_array)\n", " for i in range(npts):\n", " while phase_array[i] < 0:\n", " phase_array[i] += 2 * np.pi\n", " return phase_array" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Phase sweep\n", "phase_range = np.linspace(0, 400, 401) / 180 * np.pi\n", "\n", "colourlist = ['k', 'k--', 'k:']\n", "\n", "phase1 = np.empty_like(phase_range)\n", "phase2 = np.empty_like(phase_range)\n", "phase3 = np.empty_like(phase_range)\n", "\n", "for i, phase in enumerate(phase_range):\n", "\n", " # Set phase of local-oscillator\n", " cct.vt[1, 1] = cct.freq[1] * alpha * np.exp(1j * phase)\n", " cct.zt[1, 1] = 0.\n", " cct.zt[1, 2] = 0.\n", " cct.zt[1, 3] = 0.\n", " \n", " # Harmonic balance\n", " vj = qmix.harmonic_balance.harmonic_balance(cct, resp, num_b, verbose=False)\n", " \n", " # Calculate currents\n", " currents = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False)\n", "\n", " phase1[i] = np.angle(currents[1])\n", " phase2[i] = np.angle(currents[2])\n", " phase3[i] = np.angle(currents[3])\n", "\n", "plt.figure(figsize=(14, 5))\n", "plt.subplot(121)\n", "plt.plot(phase_range*180/np.pi, make_pos(phase1)*180/np.pi, colourlist[0])\n", "plt.plot(phase_range*180/np.pi, make_pos(phase2)*180/np.pi, colourlist[1])\n", "plt.plot(phase_range*180/np.pi, make_pos(phase3)*180/np.pi, colourlist[2])\n", "plt.ylim([0, 400])\n", "plt.xlim([0, 400])\n", "plt.xlabel('Phase of the fundamental harmonic', fontsize=12)\n", "plt.ylabel('Harmonic Currents Phase', fontsize=12)\n", "\n", "for i, phase in enumerate(phase_range):\n", "\n", " # Set phase of local-oscillator\n", " cct.vt[1, 1] = cct.freq[1] * alpha * np.exp(1j * phase)\n", " cct.zt[1, 1] = 1.\n", " cct.zt[1, 2] = 1.\n", " cct.zt[1, 3] = 1.\n", " \n", " # Harmonic balance\n", " vj = qmix.harmonic_balance.harmonic_balance(cct, resp, num_b, verbose=False)\n", " \n", " # Calculate currents\n", " currents = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False)\n", "\n", " phase1[i] = np.angle(currents[1])\n", " phase2[i] = np.angle(currents[2])\n", " phase3[i] = np.angle(currents[3])\n", "\n", "plt.subplot(122)\n", "plt.plot(phase_range*180/np.pi, make_pos(phase1)*180/np.pi, colourlist[0])\n", "plt.plot(phase_range*180/np.pi, make_pos(phase2)*180/np.pi, colourlist[1])\n", "plt.plot(phase_range*180/np.pi, make_pos(phase3)*180/np.pi, colourlist[2])\n", "plt.ylim([0, 400])\n", "plt.xlim([0, 400])\n", "plt.xlabel('Phase of the fundamental harmonic', fontsize=12)\n", "plt.ylabel('Harmonic Currents Phase', fontsize=12);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.8" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Response function\n", "resp = RespFnPolynomial(30, verbose=False)\n", "\n", "num_f = 2 # Number of tones\n", "num_p = 3 # Number of harmonics\n", "num_b = 20 # Maximum order of Bessel function\n", "\n", "# Embedding circuit\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p, vb_npts=5001)\n", "\n", "cct.freq[1] = 0.25\n", "cct.freq[2] = 0.253\n", "\n", "# Frequencies to calculate\n", "freq_list = (cct.freq[1], cct.freq[1]*2, cct.freq[1]*3)\n", "\n", "colourlist = ['k', 'k--', 'k:']\n", "\n", "plt.figure(figsize=(12, 22))\n", "\n", "a_list = [0.1, 0.5, 1.0, 1.5]\n", "y_max = [0.12, 0.5, 1, 1]\n", "\n", "for i, a in enumerate(a_list):\n", "\n", " ax = plt.subplot(4, 2, i*2+1)\n", " cct.vt[1, 1] = cct.freq[1] * a\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " currents = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, np.abs(currents[0,:]), 'k')\n", " plt.plot(cct.vb, np.abs(currents[1,:]), 'k--')\n", " plt.plot(cct.vb, np.abs(currents[2,:]), 'k:')\n", "\n", " msg = r'$\\alpha_1^{{(1)}}={:.1f}$'.format(a)\n", " msg += '\\n'\n", " msg += r'$\\alpha_1^{{(2)}}=0.0$'\n", " plt.text(0.1, 0.7, msg, transform=ax.transAxes, fontsize=16)\n", " \n", " plt.xlabel('Bias Voltage', fontsize=16)\n", " plt.ylabel('Harmonic Current', fontsize=16)\n", " plt.ylim([0, y_max[i]])\n", " plt.xlim([0, 2])\n", " plt.xticks(np.arange(0, 2.1, 0.5))\n", "\n", "for i, a in enumerate(a_list):\n", " \n", " ax = plt.subplot(4, 2, i*2+2)\n", " cct.vt[1, 1] = cct.freq[1] * a\n", " cct.vt[2, 1] = cct.freq[2] * a\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " currents = qtcurrent(vj, cct, resp, freq_list, num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, np.abs(currents[0,:]), 'k')\n", " plt.plot(cct.vb, np.abs(currents[1,:]), 'k--')\n", " plt.plot(cct.vb, np.abs(currents[2,:]), 'k:')\n", "\n", " msg = r'$\\alpha_1^{{(1)}}={:.1f}$'.format(a)\n", " msg += '\\n'\n", " msg += r'$\\alpha_1^{{(2)}}={:.1f}$'.format(a)\n", " plt.text(0.1, 0.7, msg, transform=ax.transAxes, fontsize=16)\n", " \n", " plt.xlabel('Bias Voltage', fontsize=16)\n", " plt.ylabel('Harmonic Current', fontsize=16)\n", " plt.ylim([0, y_max[i]])\n", " plt.xlim([0, 2])\n", " plt.xticks(np.arange(0, 2.1, 0.5));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.10" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# Response function\n", "resp = RespFnPolynomial(50, verbose=False)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "num_f = 2 # Number of tones\n", "num_p = 3 # Number of harmonics\n", "num_b = 15 # Maximum order of Bessel function\n", "\n", "# Embedding circuit\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p)\n", "\n", "cct.freq[1] = 0.5\n", "cct.freq[2] = 0.3\n", "cct.vt[1, 1] = cct.freq[1] * 1.2\n", "cct.zt[1, 1] = 0.5\n", "cct.zt[2, 1] = 0.5" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "colourlist = ['lime', 'yellow', 'magenta', 'cyan', 'b', 'k']\n", "\n", "plt.figure(figsize=(8,6))\n", "plt.plot(resp.voltage, resp.current, 'r')\n", "a_list = [0.00, 0.67, 1.33, 2.00, 2.67, 3.33]\n", "for i, a in enumerate(a_list):\n", "\n", " cct.vt[2, 1] = cct.freq[2] * a\n", "\n", " # Harmonic Balance\n", " vj = harmonic_balance(cct, resp, num_b, verbose=False)\n", "\n", " # Calculate currents\n", " idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False)\n", "\n", " plt.plot(cct.vb, idc, colourlist[i], lw=1)\n", "\n", "plt.legend(['DC'] + [\"{:.2f}\".format(a) for a in a_list], loc=2, frameon=False)\n", "\n", "ltext = plt.gca().get_legend().get_texts()\n", "plt.setp(ltext[0], color='r')\n", "plt.setp(ltext[1], color=colourlist[0])\n", "plt.setp(ltext[2], color=colourlist[1])\n", "plt.setp(ltext[3], color=colourlist[2])\n", "plt.setp(ltext[4], color=colourlist[3])\n", "plt.setp(ltext[5], color=colourlist[4])\n", "plt.setp(ltext[6], color=colourlist[5])\n", "\n", "plt.xlabel('Normalised bias Voltage')\n", "plt.ylabel('Pumped DC Current')\n", "plt.xticks(np.arange(0, 2.1, 0.2))\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "plt.ylim([0, 2])\n", "plt.xlim([0, 2]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 5.11" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# Response function\n", "resp = RespFnPolynomial(50, verbose=False)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "num_b = 15 # Maximum order of Bessel function" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(7,6))\n", "\n", "# Embedding circuit\n", "num_f = 2 # Number of tones\n", "num_p = 1 # Number of harmonics\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p)\n", "cct.freq[1] = 0.5\n", "cct.freq[2] = 0.3\n", "cct.vt[1, 1] = cct.freq[1] * 2.\n", "cct.vt[2, 1] = cct.freq[2] * 2.\n", "cct.zt[1, 1] = 1.\n", "cct.zt[2, 1] = 1.\n", "\n", "vj = harmonic_balance(cct, resp, num_b, verbose=False) # Harmonic Balance\n", "idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False) # Calculate currents\n", "\n", "plt.plot(resp.voltage, np.real(resp.current), 'k', linewidth=0.5)\n", "plt.plot(cct.vb, idc, 'k--', linewidth=0.7, label='1 harmonic')\n", "\n", "# Embedding circuit\n", "num_f = 2 # Number of tones\n", "num_p = 3 # Number of harmonics\n", "cct = qmix.circuit.EmbeddingCircuit(num_f, num_p, vb_min=0.01)\n", "cct.freq[1] = 0.5\n", "cct.freq[2] = 0.3\n", "cct.vt[1, 1] = cct.freq[1] * 2.\n", "cct.vt[2, 1] = cct.freq[2] * 2.\n", "cct.zt[1, 1] = 1.\n", "cct.zt[2, 1] = 1.\n", "cct.zt[1, 2] = 1.\n", "cct.zt[1, 3] = 1.\n", "cct.zt[2, 2] = 1.\n", "cct.zt[2, 3] = 1.\n", "\n", "vj = harmonic_balance(cct, resp, num_b, verbose=False) # Harmonic Balance\n", "idc = qtcurrent(vj, cct, resp, 0., num_b, verbose=False) # Calculate currents\n", "\n", "plt.plot(cct.vb, idc, 'k', linewidth=1., label='3 harmonics')\n", "\n", "plt.xlabel('Bias Voltage', fontsize=14)\n", "plt.ylabel('DC Current', fontsize=14)\n", "plt.ylim([0, 2])\n", "plt.xlim([0, 2])\n", "plt.xticks(np.arange(0, 2.1, 0.5))\n", "plt.yticks(np.arange(0, 2.1, 0.5))\n", "# plt.legend(loc=0)\n", "plt.grid();" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 2 } QMix-1.0.6/validation/README.md000066400000000000000000000003351370151251300160040ustar00rootroot00000000000000Validating QMix =============== This directory contains various attempts to validate QMix. This mostly involves recreating figures from different papers and theses. This includes: - ``Kittara2002``: P. Kittara's thesis