Assessing astrophysical foreground subtraction in DECIGO using compact binary populations inferred from the first part of the LIGO-Virgo-KAGRA's fourth observation run
Takahiro S. Yamamoto
TL;DR
The study tackles detecting a primordial stochastic GW background with DECIGO by foreground subtraction of astrophysical CBC signals inferred from LVK GWTC-4 populations. It evaluates two subtraction approaches—direct best-fit removal and the Cutler–Harms projection—collecting the astrophysical foreground $Ω_ ext{fg}(f)$ via redshift integration using a population model that includes BBH and BNS merger rates and mass distributions. The results demonstrate that projecting out first-order parameter-deviation effects reduces subtraction residuals by about two orders of magnitude, enabling primordial levels $Ω_{gw} o 10^{-16}$ to be detectable in DECIGO's band when combined with a reasonable SNR threshold; unres and subthreshold components are kept under control with the projection. The work highlights the necessity of the projection technique for DECIGO's primordial SGWB searches and discusses practical considerations, including computational demands and unresolved foregrounds (e.g., white-dwarf binaries) that warrant further investigation.
Abstract
Detecting the stochastic gravitational wave background (SGWB) from our Universe under the inflationary era is one of the primary scientific objectives of DECIGO, a space-borne gravitational wave detector sensitive in the 0.1 Hz frequency band. This frequency band is dominated by the gravitational waves from inspiraling compact object binaries. Subtracting these signals is necessary to search for the primordial SGWB. In this paper, we assess the feasibility of the subtraction of such binary signals by employing the population model inferred from the latest gravitational wave event catalogue of the LIGO-Virgo-KAGRA Collaboration. We find that the projection scheme, which was originally proposed by Cutler & Harms (2005), is necessary to reduce the binary signals to the level where DECIGO can detect the primordial background.
