Probing Primordial Stochastic Gravitational Wave Background with Multi-band Astrophysical Foreground Cleaning
Zhen Pan, Huan Yang

TL;DR
This paper introduces a multi-band foreground cleaning method using observations from different gravitational wave frequency bands to improve detection of the primordial stochastic gravitational wave background with space-based detectors like LISA.
Contribution
It proposes a novel foreground cleaning technique leveraging multi-band GW observations, enabling more accurate measurement of the primordial SGWB by predicting and subtracting astrophysical foregrounds.
Findings
Foreground spectral density can be predicted with percent-level accuracy.
Foreground cleaning significantly enhances LISA's sensitivity to the primordial SGWB.
Method effectively isolates primordial signals by modeling and subtracting astrophysical foregrounds.
Abstract
The primordial stochastic gravitational wave background (SGWB) carries first-hand messages of early-universe physics, possibly including effects from inflation, preheating, cosmic strings, electroweak symmetry breaking, and etc. However, the astrophysical foreground from compact binaries may mask the SGWB, introducing difficulties in detecting the signal and measuring it accurately. In this paper, we propose a foreground cleaning method taking advantage of gravitational wave observations in other frequency bands. We apply this method to probing the SGWB with space-borne gravitational wave detectors, such as the laser interferometer space antenna (LISA). We find that the spectral density of the LISA-band astrophysical foreground from compact binaries (black holes and neutron stars) can be predicted with percent-level accuracy assuming 10-years' observations of third-generation GW…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Radio Astronomy Observations and Technology · Cosmology and Gravitation Theories
