Abstract We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitationalwave detectors over the next several years, with the intention of providing information to facilitate planning for multimessenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitationalwave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitationalwave signals from the inspiral of binary systemsmore »
Bayesian inference for compact binary coalescences with BILBY: validation and application to the first LIGOVirgo gravitationalwave transient catalogue
Gravitational waves provide a unique tool for observational astronomy. While the first LIGO–Virgo catalogue of gravitational wave transients (GWTC1) contains 11 signals from black hole and neutron star binaries, the number of observations is increasing rapidly as detector sensitivity improves. To extract information from the observed signals, it is imperative to have fast, flexible, and scalable inference techniques. In a previous paper, we introduced BILBY: a modular and userfriendly Bayesian inference library adapted to address the needs of gravitationalwave inference. In this work, we demonstrate that BILBY produces reliable results for simulated gravitationalwave signals from compact binary mergers, and verify that it accurately reproduces results reported for the 11 GWTC1 signals. Additionally, we provide configuration and output files for all analyses to allow for easy reproduction, modification, and future use. This work establishes that BILBY is primed and ready to analyse the rapidly growing population of compact binary coalescence gravitationalwave signals.
 Authors:
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 Publication Date:
 NSFPAR ID:
 10284657
 Journal Name:
 Monthly notices of the Royal Astronomical Society
 Volume:
 499
 Issue:
 3
 Page Range or eLocationID:
 32953319
 ISSN:
 00358711
 Sponsoring Org:
 National Science Foundation
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