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Title: Rapid source classification and distance estimation for compact binary mergers with PyCBC live
ABSTRACT

During the third observing run (O3) of the advanced LIGO and advanced virgo detectors, dozens of candidate gravitational-wave (GW) events have been catalogued. A challenge of this observing run has been the rapid identification and public dissemination of compact binary coalescence (CBC) signals, a task carried out by low-latency searches such as PyCBC Live. During the later part of O3, we developed a method of classifying CBC sources via their probabilities of containing neutron star or black hole components within PyCBC Live in order to facilitate immediate follow-up observations by electromagnetic and neutrino observatories. This fast classification uses the chirp mass recovered by the search as input given the difficulty of measuring the mass ratio with high accuracy for lower mass binaries. We also use a distance estimate derived from the search output to correct for the bias in chirp mass due to the cosmological redshift. We present results for simulated signals, and for confirmed candidate events identified in low latency over O3.

 
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NSF-PAR ID:
10369785
Author(s) / Creator(s):
; ;
Publisher / Repository:
Oxford University Press
Date Published:
Journal Name:
Monthly Notices of the Royal Astronomical Society
Volume:
515
Issue:
4
ISSN:
0035-8711
Page Range / eLocation ID:
p. 5718-5729
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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