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        "author": "Martin Franckie",
        "author_email": "martin.franckie@phys.ethz.ch",
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            "License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)",
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            "Programming Language :: Python :: 3"
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        "description": "# aftershoq\nA Flexible Tool for Em-Radiation-emitting Semiconductor Heterostructure Optimization using Quantum models\n\nThis Tool aims to aid in the simulation of quantum cascade structures (such as QC lasers, detectors, or QWIPs)\nusing a variety of different simulation models. It also contains routines for optimization of such structures.\nIt contains a libraty of common materials and structures used in the Litterature, and provides a framework\nfor simulations. It does not contain any simualation code, this has to be provided by the users themselves\n(for now). The respective simulation code can be linked to [aftershoq] by the implementation of a subclass\nto Interface, which writes input files, executes the model, computes the merit function, and gathers the\nresults data.\n\nThis is a program written for Python 3.6. You need to have Python 3 installed to use and modify this software\nto your needs. The current implentation also uses numpy, scipy, matplotlib, and lxml for some features.\n\n\n# Installation\n\nWhen cloning, use the --recursive option:\n\ngit clone --recursive https://github.com/mfranckie/aftershoq.git\n\n(or\n\ngit clone --recurse-submodules https://github.com/mfranckie/aftershoq.git\n\ndepending on your git version) so that the project \"hilbert_curve\" appears in the base directory of aftershoq.\nTo install aftershoq and all its dependencies, execute\n\npython setup.py install\n\nfrom the aftershoq/ directory. To install on a system without root privileges, run\n\npython setyp.py install --user\n\ninsead.\n\n# Tutorials\n\nFor a demonstration, see the Jupyter notebooks located in examples/notebooks. To install Jupyter, run\n\npython -m pip install jupyter\n\nthen run with\n\njupyter notebook\n\n[Materials_guide.ipynb](https://github.com/mfranckie/aftershoq/blob/master/examples/notebooks/Materials_guide.ipynb) Shows how to create materials and alloys with varying composition and strain.\n\n[QCL_guide.ipynb](https://github.com/mfranckie/aftershoq/blob/master/examples/notebooks/QCL_guide.ipynb) Shows how to generate structures from scratch, how to load them from the [library](https://github.com/mfranckie/aftershoq/blob/master/aftershoq/qcls/qcls.py) and how to generate them automatically.\n\n[Opt_guide.ipynb](https://github.com/mfranckie/aftershoq/blob/master/examples/notebooks/Opt_guide.ipynb) Shows how to setup and run an optimization with Gaussian Processs (GP) regression for a test function and for a real QCL (requires ownership of a separate QCL simulation model).\n\n\nIf you don't want to/can't use jupyter, the following examples have a similar content:\n\n1) \"QCLexample.py\" (Requires a supported simulation program)\n2) \"example_sewself.py\" (Requires the sewself program)\n3) \"example_sewlab.py\" (Requires sewlab version 4.6.4 or later)\n4) \"test_optim.py\" (No requirements, this is a test of the optimization scheme)\n\nGood luck!\n\n\n",
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