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        "author": "Davide Gerosa",
        "author_email": "d.gerosa@damtp.cam.ac.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Astronomy",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "precession\n==========\n\n**Author** Davide Gerosa\n\n**email** dgerosa@caltech.edu\n\n**Copyright** Copyright (C) 2016 Davide Gerosa\n\n**Licence** CC BY 4.0\n\n**Version** 1.0.3\n\nDYNAMICS OF SPINNING BLACK-HOLE BINARIES WITH PYTHON\n====================================================\n\n``precession`` is an open-source Python module to study the dynamics of\nprecessing black-hole binaries in the post-Newtonian regime. The code\nprovides a comprehensive toolbox to (i) study the evolution of the\nblack-hole spins along their precession cycles, (ii) perform\ngravitational-wave driven binary inspirals using both orbit-averaged and\nprecession-averaged integrations, and (iii) predict the properties of\nthe merger remnant through fitting formulae obtained from numerical\nrelativity simulations. ``precession`` is a ready-to-use tool to add the\nblack-hole spin dynamics to larger-scale numerical studies such as\ngravitational-wave parameter estimation codes, population synthesis\nmodels to predict gravitational-wave event rates, galaxy merger trees\nand cosmological simulations of structure formation. ``precession``\nprovides fast and reliable integration methods to propagate statistical\nsamples of black-hole binaries from/to large separations where they form\nto/from small separations where they become detectable, thus linking\ngravitational-wave observations of spinning black-hole binaries to their\nastrophysical formation history. The code is also a useful tool to\ncompute initial parameters for numerical relativity simulations\ntargeting specific precessing systems.\n\nThis code is released to the community under the `Creative Commons\nAttribution International\nlicense <http://creativecommons.org/licenses/by/4.0>`__. Essentially,\nyou may use ``precession`` as you like but must make reference to our\nwork. When using ``precession`` in any published work, please cite the\npaper describing its implementation:\n\n-  *PRECESSION: Dynamics of spinning black-hole binaries with python.*\n   D. Gerosa, M. Kesden. PRD 93 (2016)\n   `124066 <http://journals.aps.org/prd/abstract/10.1103/PhysRevD.93.124066>`__.\n   `arXiv:1605.01067 <https://arxiv.org/abs/1605.01067>`__\n\n``precession`` is an open-source code distributed under git\nversion-control system on\n\n-  `github.com/dgerosa/precession <https://github.com/dgerosa/precession>`__\n\nAPI documentation can be generated automatically in html format from the\ncode docstrings using ``pdoc``, and is uplodad to a dedicated branch of\nthe git repository\n\n-  `dgerosa.github.io/precession <https://dgerosa.github.io/precession>`__\n\nFurther information and scientific results are available at:\n\n-  `www.tapir.caltech.edu/~dgerosa/precession <http://www.tapir.caltech.edu/~dgerosa/precession>`__\n-  `www.davidegerosa.com/precession <http://www.davidegerosa.com/precession>`__\n\nINSTALLATION\n------------\n\n``precession`` works in python 2.x and has been tested on 2.7.10. It can\nbe installed through `pip <https://pypi.python.org/pypi/precession>`__:\n\n::\n\n    pip install precession\n\nPrerequisites are ``numpy``, ``scipy`` and ``parmap``, which can be all\ninstalled through pip. Information on all code functions are available\nthrough Pyhton's built-in help system\n\n::\n\n    import precession\n    help(precession.function)\n\nSeveral tests and tutorial are available in the submodule\n``precession.test``. A detailed description of the functionalies of the\ncode is provided in the scientific paper\n`arXiv:1605.01067 <https://arxiv.org/abs/1605.01067>`__, where examples\nare also presented.\n\nRESULTS\n-------\n\n``precession`` has been used in the following published papers:\n\n-  Gerosa and Sesana. MNRAS 446 (2015) 38-55.\n   `arXiv:1405.2072 <https://arxiv.org/abs/1405.2072>`__\n-  Kesden et al. PRL 114 (2015) 081103.\n   `arXiv:1411.0674 <https://arxiv.org/abs/1411.0674>`__\n-  Gerosa et al. MNRAS 451 (2015) 3941-3954.\n   `arXiv:1503.06807 <https://arxiv.org/abs/1503.06807>`__\n-  Gerosa et al. PRD 92 (2015) 064016.\n   `arXiv:1506.03492 <https://arxiv.org/abs/1506.03492>`__\n-  Gerosa et al. PRL 115 (2015) 141102.\n   `arXiv:1506.09116 <https://arxiv.org/abs/1506.09116>`__\n-  Trifiro' et al. PRD 93 (2016) 044071.\n   `arXiv:1507.05587 <https://arxiv.org/abs/1507.05587>`__\n-  Gerosa and Kesden. PRD 93 (2016) 124066.\n   `arXiv:1605.01067 <https://arxiv.org/abs/1605.01067>`__\n-  Gerosa and Moore. PRL 117 (2016) 011101.\n   `arXiv:1606.04226 <https://arxiv.org/abs/1606.04226>`__\n-  Rodriguez et al. APJL 832 (2016) L2\n   `arXiv:1609.05916 <https://arxiv.org/abs/1609.05916>`__\n-  Gerosa et al. CQG 34 (2017) 6, 064004\n   `arXiv:1612.05263 <https://arxiv.org/abs/1612.05263>`__\n-  Gerosa and Berti. PRD 95 (2017) 124046.\n   `arXiv:1703.06223 <https://arxiv.org/abs/1703.06223>`__\n-  Zhao et al. PRD 96 (2017) 024007.\n   `arXiv:1705.02369 <https://arxiv.org/abs/1705.02369>`__\n-  Wysocki et al. PRD 97 (2018) 043014\n   `arXiv:1709.01943 <https://arxiv.org/abs/1709.01943>`__\n-  Gerosa J.Phys.Conf.Ser. 957 (2018) 012014.\n   `arXiv:1711.1003 <https://arxiv.org/abs/1711.1003>`__\n-  Rodriguez et al. PRL 120 (2018) 151101.\n   `arXiv:1712.0493 <https://arxiv.org/abs/1712.0493>`__\n-  Gerosa et al. PRD 97 (2018) 104049.\n   `arXiv:1802.04276 <https://arxiv.org/abs/1802.04276>`__\n-  Gerosa et al. PRD 98 (2018) 084036.\n   `arXiv:1808.02491 <https://arxiv.org/abs/1808.02491>`__\n-  Varma et al. `arXiv:1809.09125 <https://arxiv.org/abs/1809.09125>`__\n-  Tso et al. `arXiv:1807.00075 <https://arxiv.org/abs/1807.00075>`__\n\nRELEASES\n--------\n\n|DOI|\n\n*v1.0.0* Stable version released together with the first arxiv\nsubmission of `arXiv:1605.01067 <https://arxiv.org/abs/1605.01067>`__.\n\n*v1.0.2* Clarifications on typos in Eq. (36) and (37) of\n`arXiv:1605.01067 <https://arxiv.org/abs/1605.01067>`__. See\nhelp(precession) for more information.\n\n*v1.0.3* Python 3 now supported (hurray!). By default, ``finalspin`` now\nreturns more updated result by Hofmann, Barausse and Rezzolla 2016.\n\nCREDITS\n-------\n\nThe code is developed and maintained by `Davide\nGerosa <www.davidegerosa.com>`__. Please, report bugs to\n\n::\n\n    dgerosa@caltech.edu\n\nI am happy to help you out!\n\n**Thanks**: M. Kesden, U. Sperhake, E. Berti, R. O'Shaughnessy, A.\nSesana, D. Trifiro', A. Klein, J. Vosmera and X. Zhao.\n\n.. |DOI| image:: https://zenodo.org/badge/46057982.svg\n   :target: https://zenodo.org/badge/latestdoi/46057982\n",
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