Rapid Stellar and Binary Population Synthesis with COMPAS

Jeff Riley, Poojan Agrawal, Jim W. Barrett, Kristan N.K. Boyett, Floor S. Broekgaarden, Debatri Chattopadhyay, Sebastian M. Gaebel, Fabian Gittins, Ryosuke Hirai, George Howitt, Stephen Justham, Lokesh Khandelwal, Floris Kummer, Mike Y.M. Lau, Ilya Mandel, Selma E. De Mink, Coenraad Neijssel, Tim Riley, Lieke Van Son, Simon StevensonAlejandro Vigna-Gómez, Serena Vinciguerra, Tom Wagg, Reinhold Willcox

Research output: Contribution to journalArticleResearchpeer-review

91 Citations (Scopus)

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 describes the methodology and implementation of COMPAS. It is a living document that will be updated as new features are added to COMPAS; the current document describes COMPAS v02.21.00.

Original languageEnglish
Article number34
Number of pages30
JournalThe Astrophysical Journal Supplement Series
Volume258
Issue number2
DOIs
Publication statusPublished - 2 Feb 2022
  • ARC Centre of Excellence for Gravitational Wave Discovery

    Bailes, M. (Primary Chief Investigator (PCI)), McClelland, D. E. (Chief Investigator (CI)), Levin, Y. (Chief Investigator (CI)), Blair, D. G. (Chief Investigator (CI)), Scott, S. M. (Chief Investigator (CI)), Ottaway, D. J. (Chief Investigator (CI)), Melatos, A. (Chief Investigator (CI)), Veitch, P. J. (Chief Investigator (CI)), Wen, L. (Chief Investigator (CI)), Shaddock, D. A. (Chief Investigator (CI)), Slagmolen, B. J. J. (Chief Investigator (CI)), Zhao, C. (Chief Investigator (CI)), Evans, R. J. (Chief Investigator (CI)), Ju, L. (Chief Investigator (CI)), Galloway, D. (Chief Investigator (CI)), Thrane, E. (Chief Investigator (CI)), Hurley, J. R. (Chief Investigator (CI)), Coward, D. M. (Chief Investigator (CI)), Cooke, J. (Chief Investigator (CI)), Couch, W. (Partner Investigator (PI)), Hobbs, G. B. (Partner Investigator (PI)), Reitze, D. (Partner Investigator (PI)), Rowan, S. (Partner Investigator (PI)), Cai, R. (Partner Investigator (PI)), Adhikari, R. X. (Partner Investigator (PI)), Danzmann, K. (Partner Investigator (PI)), Mavalvala, N. (Partner Investigator (PI)), Kulkarni, S. R. (Partner Investigator (PI)), Kramer, M. (Partner Investigator (PI)), Branchesi, M. (Partner Investigator (PI)), Gehrels, N. (Partner Investigator (PI)), Weinstein, A. J. R. (Partner Investigator (PI)), Steeghs, D. (Partner Investigator (PI)), Bock, D. (Partner Investigator (PI)) & Lasky, P. (Chief Investigator (CI))

    Monash University – Internal University Contribution, Monash University – Internal Department Contribution

    1/01/1731/03/24

    Project: Research

Cite this