Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search

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Autori principali: De Lillo, Federico, Suresh, Jishnu
Natura: Preprint
Pubblicazione: 2023
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author De Lillo, Federico
Suresh, Jishnu
author_facet De Lillo, Federico
Suresh, Jishnu
contents The recent start of the fourth observing run of the LIGO-Virgo-KAGRA (LVK) collaboration has reopened the hunt for gravitational-wave (GW) signals, with one compact-binary-coalescence (CBC) signal expected to be observed every few days. Among the signals that could be detected for the first time there is the stochastic gravitational-wave background (SGWB) from the superposition of unresolvable GW signals that cannot be detected individually. In fact, multiple SGWBs are likely to arise given the variety of sources, making it crucial to identify the dominant components and assess their origin. However, most search methods with ground-based detectors assume the presence of one SGWB component at a time, which could lead to biased results in estimating its spectral shape if multiple SGWBs exist. Therefore, a joint estimate of the components is necessary. In this work, we adapt such an approach and analyse the data from the first three LVK observing runs, searching for a multi-component isotropic SGWB. We do not find evidence for any SGWB and establish upper limits on the dimensionless energy parameter $Ω_{\rm gw}(f)$ at 25 Hz for five different power-law spectral indices, $α= 0, \, 2/3,\, 2,\, 3,\, 4$, jointly. For the spectral indices $α= 2/3,\, 2, \, 4$, corresponding to astrophysical SGWBs from CBCs, r-mode instabilities in young rotating neutron stars, and magnetars, we draw further astrophysical implications by constraining the ensemble parameters $K_{\rm CBC}, \, K_{\rm r-modes}, \, K_{\rm magnetars}$, defined in the main text.
format Preprint
id arxiv_https___arxiv_org_abs_2310_05823
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search
De Lillo, Federico
Suresh, Jishnu
General Relativity and Quantum Cosmology
High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
The recent start of the fourth observing run of the LIGO-Virgo-KAGRA (LVK) collaboration has reopened the hunt for gravitational-wave (GW) signals, with one compact-binary-coalescence (CBC) signal expected to be observed every few days. Among the signals that could be detected for the first time there is the stochastic gravitational-wave background (SGWB) from the superposition of unresolvable GW signals that cannot be detected individually. In fact, multiple SGWBs are likely to arise given the variety of sources, making it crucial to identify the dominant components and assess their origin. However, most search methods with ground-based detectors assume the presence of one SGWB component at a time, which could lead to biased results in estimating its spectral shape if multiple SGWBs exist. Therefore, a joint estimate of the components is necessary. In this work, we adapt such an approach and analyse the data from the first three LVK observing runs, searching for a multi-component isotropic SGWB. We do not find evidence for any SGWB and establish upper limits on the dimensionless energy parameter $Ω_{\rm gw}(f)$ at 25 Hz for five different power-law spectral indices, $α= 0, \, 2/3,\, 2,\, 3,\, 4$, jointly. For the spectral indices $α= 2/3,\, 2, \, 4$, corresponding to astrophysical SGWBs from CBCs, r-mode instabilities in young rotating neutron stars, and magnetars, we draw further astrophysical implications by constraining the ensemble parameters $K_{\rm CBC}, \, K_{\rm r-modes}, \, K_{\rm magnetars}$, defined in the main text.
title Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search
topic General Relativity and Quantum Cosmology
High Energy Astrophysical Phenomena
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2310.05823