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

Romero-Shaw, I. M. and Talbot, C. and Biscoveanu, S. and D'Emilio, V. and Ashton, G. and Berry, C. P. L. and Coughlin, S. and Galaudage, S. and Hoy, C. and Huebner, M. and Phukon, K. S. and Pitkin, M. and Rizzo, M. and Sarin, N. and Smith, R. and Stevenson, S. and Vajpeyi, A. and Arene, M. and Athar, K. and Banagiri, S. and Bose, N. and Carney, M. and Chatziioannou, K. and Cotesta, R. and Edelman, B. and García-Quirós, C. and Ghosh, Abhirup and Green, R. and Haster, C.-J. and Kim, A. X. and Hernandez-Vivanco, F. and Magana Hernandez, I. and Karathanasis, C. and Lasky, P. D. and De Lillo, N. and Lower, M. E. and Macleod, D. and Mateu-Lucena, M. and Miller, A. and Millhouse, M. and Morisaki, S. and Oh, S. H. and Ossokine, S. and Payne, E. and Powell, J. and Puerrer, M. and Ramos-Buades, A. and Raymond, V. and Thrane, E. and Veitch, J. and Williams, D. and Williams, M. J. and Xiao, L. (2020) Bayesian inference for compact binary coalescences with BILBY: validation and application to the first LIGO–Virgo gravitational-wave transient catalogue. Monthly Notices of the Royal Astronomical Society, 499 (3). pp. 3295-3319. ISSN 0035-8711.

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Gravitational waves provide a unique tool for observational astronomy. While the first LIGO–Virgo catalogue of gravitational-wave transients (GWTC-1) contains 11 signals from black hole and neutron star binaries, the number of observations is increasing rapidly as detector sensitivity improves. To extract information from the observed signals, it is imperative to have fast, flexible, and scalable inference techniques. In a previous paper, we introduced BILBY: a modular and user-friendly Bayesian inference library adapted to address the needs of gravitational-wave inference. In this work, we demonstrate that BILBY produces reliable results for simulated gravitational-wave signals from compact binary mergers, and verify that it accurately reproduces results reported for the 11 GWTC-1 signals. Additionally, we provide configuration and output files for all analyses to allow for easy reproduction, modification, and future use. This work establishes that BILBY is primed and ready to analyse the rapidly growing population of compact binary coalescence gravitational-wave signals.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Talbot, C.0000-0003-2053-5582
Biscoveanu, S.0000-0001-7616-7366
Berry, C. P. L.0000-0003-3870-7215
Chatziioannou, K.0000-0002-5833-413X
García-Quirós, C.0000-0002-8059-2477
Lasky, P. D.0000-0003-3763-1386
De Lillo, N.0000-0002-5083-3639
Lower, M. E.0000-0001-9208-0009
Miller, A.0000-0001-9515-478X
Thrane, E.0000-0002-4418-3895
Xiao, L.0000-0003-2703-449X
Additional Information:© 2020 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Accepted 2020 September 11. Received 2020 September 8; in original form 2020 June 1. Published: 21 September 2020. 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 Investigación grants FPA2016-76821-P and PID2019-106416GB-I00/AEI/10.13039/501100011033, the Comunitat Autonoma de les Illes Balears through the Direcció General de Política Universitaria i Recerca with funds from the Tourist Stay Tax Law ITS 2017-006 (PRD2018/24), the Vicepresidència i Conselleria d'Innovació, Recerca i Turisme, Conselleria d'Educació, 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 Skłodowska-Curie grant agreement No. 751492. D.K. is supported by the Spanish Ministerio de Ciencia, Innovación 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. Data Availability Statement: We analyse publicly available data (Abbott et al. 2019e), and make use of publicly available PSDs (Abbott et al. 2019b) and calibration envelopes (Abbott et al. 2019c). We compare our results against publicly available posterior samples (Abbott et al. 2018a). We make our own results publicly accessible online (Romero-Shaw et al. 2020c).
Funding AgencyGrant Number
Australian Research CouncilCE170100004
Australian Research CouncilFT160100112
Australian Research CouncilDP180103155
Australian Research CouncilFT150100281
Australian Research CouncilCE170100004
National Research Foundation of Korea2019R1A2C2006787
Department of Science and Technology (India)UNSPECIFIED
Paul and Daisy Soros FellowshipUNSPECIFIED
NSF Graduate Research FellowshipDGE-1122374
Fondo Europeo de Desarrollo Regional (FEDER)UNSPECIFIED
Ministerio de Ciencia e Innovación (MCINN)UNSPECIFIED
Agencia Estatal de InvestigaciónFPA2016-76821-P
Agencia Estatal de InvestigaciónPID2019-106416GB-I00/AEI/10.13039/501100011033
Comunitat Autonoma de les Illes BalearsUNSPECIFIED
Direcció General de Política Universitaria i RecercaUNSPECIFIED
Tourist Stay Tax LawITS 2017-006
Tourist Stay Tax LawPRD2018/24
Vicepresidència i Conselleria d'Innovació, Recerca i TurismeUNSPECIFIED
Conselleria d'Educació i Universitat del Govern de les Illes BalearsUNSPECIFIED
Fons Social EuropeuUNSPECIFIED
Marie Curie Fellowship751492
Ministerio de Ciencia, Innovación y Universidades (MICIU)BEAGAL 18/00148
Universitat de les Illes BalearsUNSPECIFIED
Swinburne University of TechnologyUNSPECIFIED
Astronomy National Collaborative Research Infrastructure Strategy (NCRIS)UNSPECIFIED
Northwestern UniversityUNSPECIFIED
Centre National de la Recherche Scientifique (CNRS)UNSPECIFIED
Istituto Nazionale di Fisica Nucleare (INFN)UNSPECIFIED
Agencia Estatal de InvestigaciónUNSPECIFIED
Subject Keywords:gravitational waves – methods: data analysis – stars: neutron – stars: black holes – transients: black hole mergers – transients: neutron star mergers
Issue or Number:3
Record Number:CaltechAUTHORS:20200729-071950663
Persistent URL:
Official Citation:I M Romero-Shaw, C Talbot, S Biscoveanu, V D’Emilio, G Ashton, C P L Berry, S Coughlin, S Galaudage, C Hoy, M Hübner, K S Phukon, M Pitkin, M Rizzo, N Sarin, R Smith, S Stevenson, A Vajpeyi, M Arène, K Athar, S Banagiri, N Bose, M Carney, K Chatziioannou, J A Clark, M Colleoni, R Cotesta, B Edelman, H Estellés, C García-Quirós, Abhirup Ghosh, R Green, C-J Haster, S Husa, D Keitel, A X Kim, F Hernandez-Vivanco, I Magaña Hernandez, C Karathanasis, P D Lasky, N De Lillo, M E Lower, D Macleod, M Mateu-Lucena, A Miller, M Millhouse, S Morisaki, S H Oh, S Ossokine, E Payne, J Powell, G Pratten, M Pürrer, A Ramos-Buades, V Raymond, E Thrane, J Veitch, D Williams, M J Williams, L Xiao, Bayesian inference for compact binary coalescences with BILBY: validation and application to the first LIGO–Virgo gravitational-wave transient catalogue, Monthly Notices of the Royal Astronomical Society, Volume 499, Issue 3, December 2020, Pages 3295–3319,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104628
Deposited By: Tony Diaz
Deposited On:29 Jul 2020 18:16
Last Modified:05 Jan 2021 18:32

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