gwcosmo 3.0.0

A package to estimate cosmological parameters using gravitational-wave observations

Welcome to gwcosmo

Gwcosmo: a package to estimate cosmological parameters using gravitational-wave observations.

Installation

The recommended method for installing gwcosmo is using pip. We recommend setting up a virtual environment first. Once you have done this and activated your virtual environment, simply run

pip install gwcosmo

Note that gwcosmo requires Python version 3.8 or higher.

Documentation

Gwcosmo's documentation is available at https://lscsoft.docs.ligo.org/gwcosmo/.

Citing gwcosmo

If you use gwcosmo in a scientific publication, please cite the following publications, and include the following statement in your manuscript: "This work makes use of gwcosmo which is available at https://git.ligo.org/lscsoft/gwcosmo".

@ARTICLE{2023arXiv230802281G,
       author = {{Gray}, Rachel and {Beirnaert}, Freija and {Karathanasis}, Christos and {Revenu}, Beno{\^\i}t and {Turski}, Cezary and {Chen}, Anson and {Baker}, Tessa and {Vallejo}, Sergio and {Enea Romano}, Antonio and {Ghosh}, Tathagata and {Ghosh}, Archisman and {Leyde}, Konstantin and {Mastrogiovanni}, Simone and {More}, Surhud},
        title = "{Joint cosmological and gravitational-wave population inference using dark sirens and galaxy catalogues}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics},
         year = 2023,
        month = aug,
          eid = {arXiv:2308.02281},
        pages = {arXiv:2308.02281},
          doi = {10.48550/arXiv.2308.02281},
archivePrefix = {arXiv},
       eprint = {2308.02281},
 primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023arXiv230802281G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{10.1093/mnras/stac366,
    author = {Gray, R and Messenger, C and Veitch, J},
    title = "{A pixelated approach to galaxy catalogue incompleteness: improving the dark siren measurement of the Hubble constant}",
    journal = {Monthly Notices of the Royal Astronomical Society},
    volume = {512},
    number = {1},
    pages = {1127-1140},
    year = {2022},
    month = {02},
    issn = {0035-8711},
    doi = {10.1093/mnras/stac366},
    url = {https://doi.org/10.1093/mnras/stac366},
    eprint = {https://academic.oup.com/mnras/article-pdf/512/1/1127/45303118/stac366.pdf}
}

@article{PhysRevD.101.122001,
  title = {Cosmological inference using gravitational wave standard sirens: A mock data analysis},
  author = {Gray, Rachel and Hernandez, Ignacio Maga\~na and Qi, Hong and Sur, Ankan and Brady, Patrick R. and Chen, Hsin-Yu and Farr, Will M. and Fishbach, Maya and Gair, Jonathan R. and Ghosh, Archisman and Holz, Daniel E. and Mastrogiovanni, Simone and Messenger, Christopher and Steer, Dani\`ele A. and Veitch, John},
  journal = {Phys. Rev. D},
  volume = {101},
  issue = {12},
  pages = {122001},
  numpages = {22},
  year = {2020},
  month = {Jun},
  publisher = {American Physical Society},
  doi = {10.1103/PhysRevD.101.122001},
  url = {https://link.aps.org/doi/10.1103/PhysRevD.101.122001}
}