Astrophysical Source Classification and Distance Estimation for PyCBC Live

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Detalles Bibliográficos
Autores principales:	Villa-Ortega, Verónica, Dent, Thomas, Barroso, Andrés Curiel
Formato:	Preprint
Publicado:	2022
Materias:	High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
Acceso en línea:	Acceder al recurso
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author	Villa-Ortega, Verónica Dent, Thomas Barroso, Andrés Curiel
author_facet	Villa-Ortega, Verónica Dent, Thomas Barroso, Andrés Curiel
contents	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.
format	Preprint
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institution	arXiv
publishDate	2022
record_format	arxiv
spellingShingle	Astrophysical Source Classification and Distance Estimation for PyCBC Live Villa-Ortega, Verónica Dent, Thomas Barroso, Andrés Curiel High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics 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.
title	Astrophysical Source Classification and Distance Estimation for PyCBC Live
topic	High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
url	https://arxiv.org/abs/2203.10080

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