Simulation-based gravitational-wave population inference with GWTC2

ORAL

Abstract

The recent release of the second Gravitational-Wave Transient Catalog (GWTC-2) has increased significantly the number of known events, enabling unprecedented constraints on formation models of compact binaries. By analyzing the newest catalogue of gravitational-wave events with a deep-learning enhanced hierarchical Bayesian modelling framework and population synthesis simulations, we present constraints on astrophysical quantities for various black-hole binary formation channels using a population of events observed by the ground-based gravitational-wave detector network, including binaries formed in isolation, binaries formed in globular clusters and primordial black holes.

*NSF Grants No. PHY-1912550 and AST-2006538, NASA ATP Grants No. 17-ATP17-0225 and 19-ATP19-0051, and NSF-XSEDE Grant No. PHY-090003

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Authors

  • Kaze W.K. Wong

    • Johns Hopkins University

  • Vishal Baibhav

    • Johns Hopkins University

  • Emanuele Berti

    • Johns Hopkins University

  • Katelyn Breivik

    • Flatiron Institute

  • Thomas Callister

    • Flatiron Institute

  • Gaberiele Franciolini

    • Université de Genève

  • Kyle Kremer

    • California Institute of Technology

  • Valerio De Luca

    • Université de Genève

  • Paolo Pani

    • Sapienza Università di Roma

  • Antonio Riotto

    • Université de Genève