Journal article
Rapid Stellar and Binary Population Synthesis with COMPAS
J Riley, P Agrawal, JW Barrett, KNK Boyett, FS Broekgaarden, D Chattopadhyay, SM Gaebel, F Gittins, R Hirai, G Howitt, S Justham, L Khandelwal, F Kummer, MYM Lau, I Mandel, SE De Mink, C Neijssel, T Riley, L Van Son, S Stevenson Show all
Astrophysical Journal Supplement Series | IOP Publishing Ltd | Published : 2022
Abstract
Compact Object Mergers: Population Astrophysics and Statistics (COMPAS; https://compas.science) is a public rapid binary population synthesis code. COMPAS generates populations of isolated stellar binaries under a set of parameterized assumptions in order to allow comparisons against observational data sets, such as those coming from gravitational-wave observations of merging compact remnants. It includes a number of tools for population processing in addition to the core binary evolution components. COMPAS is publicly available via the GitHub repository https://github.com/TeamCOMPAS/COMPAS/, and is designed to allow for flexible modifications as evolutionary models improve. This paper descr..
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Grants
Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
The authors thank Ben Bradnick, Isobel Romero-Shaw, and Rajath Sathyaprakash for past contributions to the code, and Simone Bavera, Chris Belczynski, Christopher Berry, Jan Eldridge, Tassos Fragos, David Hendriks, Jarrod Hurley, Vicky Kalogera, Morgan MacLeod, Pablo Marchant, Javier Moran Fraile, Philipp Podsiadlowski, Carl Rodriguez, Dorottya Szecsi, and Michael Zevin for discussions and advice. Multiple authors are supported by the Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav), through project No. CE170100004. Multiple authors were funded in part by the National Science Foundation under grant No. (NSF grant No. 2009131), the Netherlands Organization for Scientific Research (NWO) as part of the Vidi research program BinWaves with project No. 639.042.728 and by the European Union's Horizon 2020 research and innovation program from the European Research Council (ERC, grant agreement No. 715063). F.S.B. is supported in part by the Prins Bernard Cultuurfonds studiebeurs. I.M. is a recipient of an Australian Research Council Future Fellowship (FT190100574). A.V.G. acknowledges funding support by the Danish National Research Foundation (DNRF132).