Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO-Virgo gravitational-wave transient catalogue

Published date: 21 September 2020

Additional Information: Funding Information: This work is supported through Australian Research Council (ARC) Centre of Excellence CE170100004. PDL is supported through ARC Future Fellowship FT160100112 and ARC Discovery Project DP180103155. ET is supported through ARC Future Fellowship FT150100281 and CE170100004. This work is partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2019R1A2C2006787). NB acknowledges Inspire division, DST, Government of India for the fellowship support. This work is partially supported by the National Science Foundation under Grant No. PHY-1912648. SB, C-JH, and CT acknowledge support of the National Science Foundation, and the LIGO Laboratory. SB is also supported by the Paul and Daisy Soros Fellowship for New Americans and the NSF Graduate Research Fellowship under Grant No. DGE-1122374. This work was partially supported by European Union FEDER funds, the Spanish Ministry of Science and Innovation and the Spanish Agencia Estatal de Investigaci?n grants FPA2016-76821-P and PID2019-106416GBI00/AEI/10.13039/501100011033, the Comunitat Autonoma de les Illes Balears through the Direcci? General de Pol?tica Universitaria i Recerca with funds from the Tourist Stay Tax Law ITS 2017-006 (PRD2018/24), the Vicepresid?ncia i Conselleria d'Innovaci?, Recerca i Turisme, Conselleria d'Educaci?, i Universitats del Govern de les Illes Balears and Fons Social Europeu. MC acknowledges funding from the European Union's Horizon 2020 research and innovation programme, under the Marie Sk?odowska-Curie grant agreement No. 751492. D.K. is supported by the Spanish Ministerio de Ciencia, Innovaci?n y Universidades (ref. BEAGAL 18/00148) and cofinanced by the Universitat de les Illes Balears. This work used BILBY = v0.6.9, BILBYPIPE = v0.3.12, DYNESTY = v1.0.1, LALSUITE =v6.49, and PESUMMARY = v0.5.6. This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center (Abbott et al. 2019e), a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. Computing was performed on the OzSTAR Australian national facility at Swinburne University of Technology, which receives funding in part from the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) allocation provided by the Australian Government, LIGO Laboratory computing clusters at California Institute of Technology and LIGO Hanford Observatory supported by National Science Foundation Grants PHY-0757058 and PHY-0823459, and the Quest computing cluster, which is jointly supported by the Office of the Provost, the Office for Research and Northwestern University Information Technology, and funded by the National Science Foundation under Grant No. PHY-1726951. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation and operates under cooperative agreement PHY-1764464. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by Polish and Hungarian institutes. Publisher Copyright: © 2020 The Author(s)

Related URLs:

• https://www.scopus.com/pages/p...5094942919

Keywords: Gravitational waves, Methods: data analysis, Stars: black holes, Stars: neutron, Transients: black hole mergers, Transients: neutron star mergers

Local EPrints ID: 507988

URI: http://eprints.soton.ac.uk/id/eprint/507988

DOI: doi:10.1093/mnras/staa2850

ISSN: 0035-8711

PURE UUID: 66f4c311-3951-4aeb-801b-7368744d8372

ORCID for G. Ashton: orcid.org/0000-0001-7288-2231

ORCID for M. J. Williams: orcid.org/0000-0001-5386-5567

Date deposited: 09 Jan 2026 17:36

Last modified: 10 Jan 2026 05:27