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        "author": "Jeffrey S. Hazboun",
        "author_email": "jeffrey.hazboun@gmail.com",
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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",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "===========\n``hasasia``\n===========\n\n\n.. image:: https://img.shields.io/pypi/v/hasasia.svg\n        :target: https://pypi.python.org/pypi/hasasia\n\n.. image:: https://github.com/Hazboun6/hasasia/workflows/Build/badge.svg\n        :target: https://github.com/Hazboun6/hasasia/actions\n\n.. image:: https://readthedocs.org/projects/hasasia/badge/?version=latest\n        :target: https://hasasia.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://codecov.io/gh/Hazboun6/hasasia/branch/master/graph/badge.svg?token=GBKYR808FO\n        :target: https://codecov.io/gh/Hazboun6/hasasia\n\n.. image:: https://zenodo.org/badge/178294587.svg\n        :target: https://zenodo.org/account/settings/github/repository/Hazboun6/hasasia\n        :alt: Zenodo Badge\n\n.. image:: https://joss.theoj.org/papers/d99d7655bd5704ab951157a14df227af/status.svg\n        :target: https://joss.theoj.org/papers/d99d7655bd5704ab951157a14df227af\n        :alt: JOSS Status\n\nA Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.\n\n.. image:: https://raw.githubusercontent.com/Hazboun6/hasasia/master/hasasia_calligraphy.jpg\n        :align: center\n\n\u062d\u0633\u0627\u0633\u064a\u0629 (hasasia) is Arabic for sensitivity_ . Image Credit: Reem Tasyakan\n\n.. _sensitivity: https://translate.google.com/#view=home&op=translate&sl=auto&tl=ar&text=sensitivity\n\n* Free software: MIT license\n* Documentation: https://hasasia.readthedocs.io.\n\n\nFeatures\n--------\nCalculates the following structures needed for signal analysis with pulsars:\n\n* Pulsar transmission functions\n* Inverse-noise-weighted transmission functions\n* Individual pulsar sensitivity curves.\n* Pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density.\n* Power-law integrated sensitivity curves.\n* Sensitivity sky maps for pulsar timing arrays\n\nGetting Started\n---------------\n\n`hasasia` is on the Python Package Inventory, so the easiest way to get started\nis by using `pip` to install::\n\n  pip install hasasia\n\nThe pulsar and spectrum objects are used to build sensitivity curves for full\nPTAs. The Spectrum object has all of the information needed for the pulsar.\n\n.. code-block:: python\n\n  import hasasia.senstivity as hsen\n\n  toas = np.arange(54378,59765,22) #Choose a range of times-of-arrival\n  toaerrs = 1e-7*np.ones_like(toas) #Set all errors to 100 ns\n  psr = hsen.Pulsar(toas=toas,toaerrs=toaerrs)\n  spec = hsen.Spectrum(psr)\n\n\nPublication\n-----------\nThis work is featured in a publication_, currently released on the arXiv. If you\nwould like to reference the formalism used in this work please use the following attribution:\n\n.. _publication: https://arxiv.org/pdf/1907.04341.pdf\n\n.. code-block:: tex\n\n @article{Hazboun:2019vhv,\n             author = {{Hazboun}, Jeffrey S. and {Romano}, Joseph D. and {Smith}, Tristan L.},\n              title = \"{Realistic sensitivity curves for pulsar timing arrays}\",\n            journal = {\\prd},\n           keywords = {General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics},\n               year = 2019,\n              month = nov,\n             volume = {100},\n             number = {10},\n                eid = {104028},\n              pages = {104028},\n                doi = {10.1103/PhysRevD.100.104028},\n        archivePrefix = {arXiv},\n             eprint = {1907.04341},\n        primaryClass = {gr-qc},\n             adsurl = {https://ui.adsabs.harvard.edu/abs/2019PhRvD.100j4028H},\n            adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n          }\n\nOtherwise if you would like to reference the Python package use the following\ncitation:\n\n.. code-block:: tex\n\n  @article{Hazboun2019Hasasia,\n         \t journal      = {Journal of Open Source Software},\n         \t doi          = {10.21105/joss.01775},\n         \t issn         = {2475-9066},\n         \t number       = {42},\n         \t publisher    = {The Open Journal},\n           title        = {Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves},\n           url          = {http://dx.doi.org/10.21105/joss.01775},\n         \t volume       = {4},\n         \t author       = {Hazboun, Jeffrey and Romano, Joseph and Smith, Tristan},\n         \t pages        = {1775},\n         \t date         = {2019-10-23},\n         \t year         = {2019},\n         \t month        = {10},\n         \t day          = {23},\n           }\n\n\n\nCredits\n-------\nDevelopment Team: Jeffrey S. Hazboun, Joseph D. Romano  and Tristan L. Smith\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=======\n1.2.3 (2021-09-14)\nRemove pytest-runner from setup.py\n\n1.2.2 (2021-09-14)\nCheck Build status\n\n1.2.1 (2021-09-14)\nFix auto deploy.\n\n1.2.0 (2021-09-14)\nAdded new single source functionality to SkyMap.\n\n1.1.2 (2020-09-12)\nAdded test for the tutorials and a new version of make_corr.\n\n1.1.1 (2020-06-11)\nFix pulsar term functionality in SkySensitivity\n\n1.1.0 (2020-06-11)\nVarious extra functionality added, including non-GR polarizations and pulsar term flags.\n\n1.0.5 (2019-10-21)\nJOSS/Zenodo Release with various changes from JOSS Refereeing and correct Zenodo `.json`\n\n1.0.4 (2019-10-21)\nJOSS/Zenodo Release with various changes from JOSS Refereeing and correct Zenodo `.json`\n\n1.0.3 (2019-10-21)\nJOSS/Zenodo Release with various changes from JOSS Refereeing and correct Zenodo `.json`\n\n1.0.2 (2019-10-21)\nJOSS/Zenodo Release with various changes from JOSS Refereeing and correct Zenodo `.json`\n\n1.0.1 (2019-10-21)\nJOSS/Zenodo Release with various changes from JOSS Refereeing\n\n1.0.0 (2019-09-20)\nThe Official Release.\n\n0.1.7 (2019-08-30)\n\n0.1.6 (2019-08-29)\n\n0.1.5 (2019-08-13)\n\n0.1.4 (2019-08-13)\n\n0.1.3 (2019-08-13)\n\n0.1.2 (2019-06-23)\n\n0.1.1 (2019-06-23)\n\n0.1.0 (2019-06-23)*\n-------------------\n\n* First release on PyPI.\n\n\n",
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