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            "Development Status :: 2 - Pre-Alpha",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
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        "description": "=====\ngwent\n=====\n\n\n.. image:: https://img.shields.io/pypi/v/gwent.svg\n        :target: https://pypi.python.org/pypi/gwent\n\n.. image:: https://github.com/ark0015/gwent/workflows/CI-Tests/badge.svg\n        :target: https://github.com/ark0015/gwent/actions\n\n.. image:: https://readthedocs.org/projects/gwent/badge/?version=latest\n        :target: https://gwent.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n.. image:: https://codecov.io/gh/ark0015/gwent/branch/gwent-dev/graph/badge.svg?token=897QOE4EBQ\n        :target: https://codecov.io/gh/ark0015/gwent\n\n\nGravitational Wave dEtector desigN Toolkit.\n\nGenerates strain sensitivity curves and Waterfall plots for various gravitational wave detector designs.\n\n.. image:: https://raw.githubusercontent.com/ark0015/gwent/master/data/full_waterfall_plots_lb.png\n        :align: center\n        :alt: gwent Waterfall Plots\n\n* Free software: MIT license\n* Documentation: https://gwent.readthedocs.io.\n\n\nFeatures\n--------\nCalculates the sensitivity curves for various designs of pulsar timing arrays, space-based detectors, and ground-based detectors.\nThis includes:\n\n* NANOGrav\n* SKA\n* LISA\n* aLIGO\n* Voyager\n* and more!\n\nCalculates the strain from coalescing black hole binaries. It contains functionality for different source descriptions:\n\n* Slowly-evolving sources, ie. BHBs early in their inspiral where they appear to not change in frequency.\n* Rapidly-evolving sources, ie. BHBs in the final stages of coalescence. \n\n  * Uses a fully Pythonic implementation of the phenomenological model ``IMRPhenomD`` to accurately represent the inspiral, merger, and ringdown of the BHB.\n\nCalculates the matched-filtered signal-to-noise ratio (SNR) to help assess the detectability of any BHB source configuration by any represented gravitational wave detector.\n\n* Includes robust plotting methods to represent these SNRs.\n\n\nGetting Started\n---------------\n``gwent`` is available on the Python Package Inventory, so the preferred method to install ``gwent`` is to install it with ``pip``, as it will always install the most recent stable release.\n\n.. code-block:: console\n\n    $ pip install gwent\n\nREADME Figure and Data\n----------------------\nIf you are looking for quick data, we conveniently place the figure above in the `data <https://github.com/ark0015/gwent/tree/master/data>`_ folder on the Github repo. There you can also find the raw data used for this figure in ``.npz`` format. To load this data, simply use ``np.load(filename)``, and the data can be accessed by the kwargs ``'mass'``, ``'redshift'``, and ``'snr'``. E.g., \n\n.. code-block:: python\n\n    import numpy as np\n    import gwent\n    from gwent.snrplot import Plot_SNR\n    loaded_file = np.load(filename)\n    Plot_SNR('M',load_file['mass'],'z',load_file['redshift'],load_file['snr'])\n\nPublication\n-----------\nThis work and methodology is available on arXiv_. If you use ``gwent``, please cite this work using the following:\n\n.. _arXiv: https://arxiv.org/abs/2010.02135\n\n.. code-block:: tex\n\n    @ARTICLE{2020arXiv201002135K,\n           author = {{Kaiser}, Andrew R. and {McWilliams}, Sean T.},\n            title = \"{Sensitivity of present and future black-hole binary observations across the gravitational wave spectrum}\",\n          journal = {arXiv e-prints},\n         keywords = {General Relativity and Quantum Cosmology, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics},\n             year = 2020,\n            month = oct,\n              eid = {arXiv:2010.02135},\n            pages = {arXiv:2010.02135},\n    archivePrefix = {arXiv},\n           eprint = {2010.02135},\n     primaryClass = {gr-qc},\n           adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv201002135K},\n          adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n    }\n\nCredits\n-------\nWe utilize and include within the package a specific commit of ``pygwinc`` found at https://git.ligo.org/gwinc/pygwinc to create many of the ground-based gravitational wave detector sensitivity curves. At the time of creation, there is no ``pygwinc`` availability on PyPI, so we explicitly include the necessary portions of the code within.\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n0.4.0 (2021-1-8)\n-------------------\n* Adding functionality to use lalsuite waveforms\n* Changing locations of multiple functions from BBHFrequencyDomain functions to general binary functions\n* Moved several functions from binary to waveform\n* Fixed several bugs with SNR calculations\n* Clarified certain constants\n* Added JOSS paper draft\n* Expanded testing and switched from TravisCI to Github Actions\n\n0.3.0 (2020-10-5)\n-------------------\n* Turning pygwinc install into vendor inside gwent\n\n0.2.1 (2020-10-5)\n-------------------\n* Update to ground-based SNR calculation\n* Minor changes to snrplot functionality\n* Changed fitting for WD background\n* Misc bug fixing\n\n0.2.0 (2020-4-29)\n-------------------\n* Major Changes to PTA detector setup\n* Major Changes to snrplot\n* Overhaul of tutorials\n* Minor Changes to binary and snr functions\n* Other Minor Changes sprinkled throughout \n\n0.1.16 (2020-1-19)\n-------------------\n* Removing install of pygwinc in setup.py\n* pygwinc must now be manually installed \n\n0.1.15 (2020-1-18)\n-------------------\n* Including easy install of pygwinc\n\n0.1.14 (2020-1-7)\n-------------------\n* Major addition of pygwinc\n* Minor fixes to snr sampling and plotting\n\n0.1.13 (2019-10-28)\n-------------------\n* Removing SNR Files in LoadFiles\n* Fixing Error in PTA Initialization that Ignored User Input\n\n0.1.12 (2019-10-8)\n-------------------\n* Adding New Files for NANOGrav\n* Updating Loading from files for Detectors\n\n0.1.11 (2019-09-19)\n-------------------\n* Fixing bugs and removing empty functionality\n\n0.1.10 (2019-09-14)\n-------------------\n* Removed Python 2.7 support\n\n0.1.0 (2019-09-04)\n------------------\n\n* First release on PyPI.\n\n\n",
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