English

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

General Relativity and Quantum Cosmology 2024-03-27 v2 High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

Abstract

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 Ωgw(f)\Omega_{\rm gw}(f) at 25 Hz for five different power-law spectral indices, α=0,2/3,2,3,4\alpha = 0, \, 2/3,\, 2,\, 3,\, 4, jointly. For the spectral indices α=2/3,2,4\alpha = 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 KCBC,Krmodes,KmagnetarsK_{\rm CBC}, \, K_{\rm r-modes}, \, K_{\rm magnetars}, defined in the main text.

Keywords

Cite

@article{arxiv.2310.05823,
  title  = {Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search},
  author = {Federico De Lillo and Jishnu Suresh},
  journal= {arXiv preprint arXiv:2310.05823},
  year   = {2024}
}

Comments

20 pages, 6 figures, 6 tables

R2 v1 2026-06-28T12:44:49.070Z