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Rapid stellar and binary population synthesis with COMPAS

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arxiv 2109.10352 v3 pith:3U65V5UU submitted 2021-09-21 astro-ph.IM astro-ph.HEastro-ph.SR

Team COMPAS: Jeff Riley , Poojan Agrawal , Jim W. Barrett , Kristan N. K. Boyett , Floor S. Broekgaarden , Debatri Chattopadhyay , Sebastian M. Gaebel , Fabian Gittins
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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 Stevenson Alejandro Vigna-Gomez Serena Vinciguerra Tom Wagg Reinhold Willcox
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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 parametrized 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 which will be updated as new features are added to COMPAS; the current document describes COMPAS v02.21.00.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Stable mass transfer in massive binaries leading to merging black holes

    astro-ph.SR 2025-12 conditional novelty 7.0 of 10

    Stable mass transfer in massive binaries, modeled with the accreting star's altered structure, produces merging black holes matching LIGO/Virgo masses and spins.

  2. The IACOB project XIX. Revisiting massive-star evolution with empirical TAMS constraints: updated models, overshoot calibration, and the population of blue supergiants

    astro-ph.SR 2026-07 conditional novelty 6.0 of 10

    Massive-star models require mass-dependent core overshoot (α_ov ≈ 0.18–0.45) to match the empirical TAMS, but still fail to explain the velocity dependence of the TAMS and the observed blue supergiant population.

  3. The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets

    astro-ph.HE 2025-05 conditional novelty 6.0 of 10

    Simulated gravitational-wave catalogs show spin-tilt peaks at alignment are hard to confirm even with 1500 events, while integrated tilt fractions are robust.

  4. The first decade of gravitational-wave measurements of black hole spins

    gr-qc 2026-06 unverdicted novelty 1.0 of 10

    A review summarizing formation-channel predictions, waveform effects, and population-level constraints on stellar-mass black hole spins from the first decade of gravitational-wave observations.

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