:code:`gwpopulation_pipe` provides a standardized interface to gravitational-wave popualtion inference ###################################################################################################### This is intended to be used with the command-line interface and limited support will be provided for directly calling the API. .. automodule:: gwpopulation_pipe :members: Installation ------------ The easiest way to install :code:`gwpopulation_pipe` is via :code:`pypi` .. code-block:: console $ pip install gwpopulation_pipe Examples -------- Here are a few examples of how to use the command line interface. .. toctree:: :maxdepth: 1 real-data simulation prior configuration customizing specifying-data specifying-models .. currentmodule:: gwpopulation_pipe API: ---- .. autosummary:: :toctree: api :template: custom-module-template.rst :caption: API: :recursive: common_format data_analysis data_collection data_simulation main parser post_plots utils vt_helper Citing ------ If this software is useful for your research, please cite .. raw:: html
Bilby .. code-block:: bibtex @ARTICLE{2019ApJS..241...27A, author = {{Ashton}, Gregory and {H{\"u}bner}, Moritz and {Lasky}, Paul D. and {Talbot}, Colm and {Ackley}, Kendall and {Biscoveanu}, Sylvia and {Chu}, Qi and {Divakarla}, Atul and {Easter}, Paul J. and {Goncharov}, Boris and {Hernandez Vivanco}, Francisco and {Harms}, Jan and {Lower}, Marcus E. and {Meadors}, Grant D. and {Melchor}, Denyz and {Payne}, Ethan and {Pitkin}, Matthew D. and {Powell}, Jade and {Sarin}, Nikhil and {Smith}, Rory J.~E. and {Thrane}, Eric}, title = "{BILBY: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy}", journal = {\apjs}, keywords = {gravitational waves, methods: data analysis, methods: statistical, stars: black holes, stars: neutron, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, General Relativity and Quantum Cosmology}, year = 2019, month = apr, volume = {241}, number = {2}, eid = {27}, pages = {27}, doi = {10.3847/1538-4365/ab06fc}, archivePrefix = {arXiv}, eprint = {1811.02042}, primaryClass = {astro-ph.IM}, adsurl = {https://ui.adsabs.harvard.edu/abs/2019ApJS..241...27A}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } .. raw:: html
GWPopulation .. code-block:: @ARTICLE{2019PhRvD.100d3030T, author = {{Talbot}, Colm and {Smith}, Rory and {Thrane}, Eric and {Poole}, Gregory B.}, title = "{Parallelized inference for gravitational-wave astronomy}", journal = {\prd}, keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, General Relativity and Quantum Cosmology}, year = 2019, month = aug, volume = {100}, number = {4}, eid = {043030}, pages = {043030}, doi = {10.1103/PhysRevD.100.043030}, archivePrefix = {arXiv}, eprint = {1904.02863}, primaryClass = {astro-ph.IM}, adsurl = {https://ui.adsabs.harvard.edu/abs/2019PhRvD.100d3030T}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } .. raw:: html
GWPopulation Pipe .. code-block:: bibtex @ARTICLE{ gwpop_pipe, title={GWPopulation pipe}, DOI={10.5281/zenodo.5654673}, publisher={Zenodo}, author={Talbot, Colm}, year={2021}, month={Nov}, url={https://git.ligo.org/RatesAndPopulations/gwpopulation_pipe} } .. raw:: html
Along with whatever paper introduced the data, models, or sampler used.