2020
DOI: 10.1088/1361-6382/ab5f2d
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A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model

Abstract: The recently published GWTC-1 [1] -a journal article summarizing the search for gravitational waves (GWs) from coalescing compact binaries in data produced by the LIGO-Virgo network of ground-based detectors during their first and second observing runs -quoted estimates for the rates of binary neutron star, neutron star black hole binary, and binary black hole mergers, as well as assigned probabilities of astrophysical origin for various significant and marginal GW candidate events. In this paper, we delineate… Show more

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Cited by 59 publications
(63 citation statements)
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“…It is possible, however, that either search's marginal triggers could contain a population of real GW signals. In particular, the multicomponent population analysis [89,90] (see Sec. VII) explicitly considers the possibility of triggers (both confident detections and marginal triggers) arising from a combination of noise and distinct source populations.…”
Section: Marginal Triggers and Instrumental Artifactsmentioning
confidence: 99%
See 2 more Smart Citations
“…It is possible, however, that either search's marginal triggers could contain a population of real GW signals. In particular, the multicomponent population analysis [89,90] (see Sec. VII) explicitly considers the possibility of triggers (both confident detections and marginal triggers) arising from a combination of noise and distinct source populations.…”
Section: Marginal Triggers and Instrumental Artifactsmentioning
confidence: 99%
“…In the following, PyCBC and cWB retain this approach. In addition to the rates derived in this way, we also present the results from an enhanced model jointly treating multiple astrophysical event categories [89]. This enhancement accounts for correlations between the source categories by measuring the response of the GstLAL search template banks to the astrophysical populations.…”
Section: Merger Rates Of Compact Binary Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, to calculate p astro requires an extra layer of inference, folding in both our knowledge of trigger distribution, assumptions about signal distribution (such as that sources are uniformly distributed in volume), and knowledge and assumptions about merger rate per unit volume for each class of sources. A method to evaluate p astro is described in Abbott et al (2016bAbbott et al ( , m, n, 2018c and Kapadia et al (2020). The p astro is given in the public GW alerts (see Sect.…”
Section: Detection and False Alarm Ratesmentioning
confidence: 99%
“…this probability are given in Kapadia et al (2020). The method to assign probabilities of astrophysical origin to GW candidate events is based on redistributing, via mass-based template weighting, the foreground probabilities of candidate events with respect to the background model across the astrophysical categories shown in Fig.…”
Section: Alert Contentsmentioning
confidence: 99%