CREDITS.md

Credits

bajes has been developed by Matteo Breschi with the contribution of Gregorio Carullo, Rossella Gamba, Ssohrab Borhanian, Emil Donkersloot and Sebastiano Bernuzzi.

If you use this software, please include the following citation:

@article{Bajes:2021,
         author = "Breschi, Matteo and Gamba, Rossella and Bernuzzi, Sebastiano",
         title = "{Bayesian inference of multimessenger astrophysical data: Methods and applications to gravitational waves}",
         eprint = "2102.00017",
         archivePrefix = "arXiv",
         primaryClass = "gr-qc",
         doi = "10.1103/PhysRevD.104.042001",
         journal = "Phys. Rev. D",
         volume = "104",
         number = "4",
         pages = "042001",
         year = "2021"
        }

The posterior samples computed with the bajes pipeline of the gravitational-wave events presented in GWTC-1 are available on Zenodo. If you use these data, please include the following citation:

@misc{bajes_eob_catalog,
      author    = "Breschi, Matteo and Gamba, Rossella and Bernuzzi, Sebastiano",
      title     = "${\tt bajes}$: Bayesian inference of multimessenger astrophysical data,
                  methods and application to gravitational-waves",
      month     = jan,
      year      = 2021,
      publisher = {Zenodo},
      doi       = {10.5281/zenodo.4476594},
      url       = {https://doi.org/10.5281/zenodo.4476594}}

Samplers

In order to perform the sampling, bajes relies on external libraries,

• emcee, the mcmc hammer, github, documentation, arxiv
• ptmcmc is based on ptemcee, github, documentation, arxiv
• cpnest, parallel nested sampling, github, documentation
• dynesty, dynamic nested sampling, github, documentation, arxiv
• ultranest, advanced nested sampling, github, documentation, arxiv

Gravitational-wave pipeline

If you use one of the following gravitational-wave approximants, please provide the related citation,

• TEOBResumS: A. Nagar et al., arxiv
  • Precessing contributions are discussed in S. Akcay et al., arxiv
  • Eccentric model is described in D. Chiaramello and A. Nagar, arxiv
• TEOBResumSPA: R. Gamba et al., arxiv
• HypTEOBResumS: A. Nagar et al., arxiv
• NRPM: M. Breschi et al., arxiv
• NRPMw: M. Breschi et al., arxiv
• MLGW: S. Schmidt et al., arxiv
• MLGW_BNS: J. Tissino et al., arxiv
• NRSur7dq4: V. Varma et al., arxiv
• NRHybSur3dq8: V. Varma et al., arxiv
• NRHybSur3dq8Tidal: K. Barkett et al., arxiv
• TaylorF2_5.5PN: F. Messina et al., arxiv
  • 7.5PNTides are taken from T. Damour et al., arxiv
  • 7.5PNTides2020 corresponds to Q. Henry et al., arxiv
• For the documentation of LALSimulation waveforms, please visit this link
• JenpyROQ: see documentation at this link, arxiv

The bajes repository contains the official ASDs and the calibration envelopes released with GWTC-1 (LVC, arxiv) and the design ASDs for current and future detectors,

• LIGO Design sensitivity, LIGO Scientific Collaboration, arxiv
• Virgo Design sensitivity, F. Acernese et al., arxiv
• KAGRA Design sensitivity, T. Akutsu et al., arxiv
• Einstein Telescope (configuration D) sensitivity, S. Hild et al., arxiv
• Cosmic Explorer sensitivity, D. Reitze et al., arxiv

Kilonova pipeline

If you use one of the following kilonova approximants, please provide the related citation,

• GrossmanKBP: D. Grossman et al., arxiv
  • Nuclear heating rates extracted from O. Korobkin et al., arxiv
  • Thermal efficiency described in J. Barnes et al., arxiv
  • Multi-component anisotropic model presented in A. Perego et al., arxiv

The bajes repository contains the bolometric magnitudes of AT2017gfo and the corresponding standard deviations extracted from V. A. Villar et al., arxiv