Distinguishing the Demographics of Compact Binaries with Merger Entropy Index
Siyuan Chen, Karan Jani

TL;DR
This paper introduces the Merger Entropy Index as a novel tool to analyze the formation channels and demographics of compact binary mergers detected by gravitational-wave observatories, providing new insights into their origins.
Contribution
It applies the entropy measure to LVK data, deriving a new criterion to distinguish formation channels and mass-gap objects in binary mergers.
Findings
$ ext{I}_ ext{BBH}$ favors second-generation mergers for GW190521.
$ ext{I}_ ext{BBH}$ suggests neutron star-black hole nature for GW230529.
The framework enhances understanding of binary formation mechanisms.
Abstract
The coalescence of binary black holes and neutron stars increases the entropy in the universe. The release of entropy from the inspiral stage to the merger depends primarily on the mass and spin vectors of the compact binary. In this study, we report a novel application of entropy to study the demographics of the compact binaries reported by the LIGO-Virgo-KAGRA (LVK) Collaboration. We compute an astrophysical distribution of the Merger Entropy Index () - a mass-independent measure of the efficiency of entropy transfer for black hole binaries - for all the events reported in the LVK Gravitational-Wave Transient Catalogs. We derive for six astrophysically motivated population models describing dynamical and isolated formation channels. We find that offers a new criterion to probe the formation channels of LVK…
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Taxonomy
TopicsInsurance, Mortality, Demography, Risk Management · Bayesian Methods and Mixture Models
