Estimating Astrophysical Population Properties using a multi-component Stochastic Gravitational-Wave Background Search
Federico De Lillo, Jishnu Suresh

TL;DR
This paper develops a method to jointly analyze multiple components of the stochastic gravitational-wave background using LIGO-Virgo-KAGRA data, setting upper limits and constraining astrophysical source parameters.
Contribution
It introduces a multi-component analysis approach for the SGWB, addressing biases from assuming a single component, and applies it to real observational data.
Findings
No evidence for a stochastic gravitational-wave background was found.
Upper limits on $\Omega_{gw}(f)$ were established for five spectral indices.
Constraints on astrophysical source parameters were derived for different SGWB components.
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…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Stellar, planetary, and galactic studies
