Improving the detection sensitivity to primordial stochastic gravitational waves with reduced astrophysical foregrounds

Zhen Pan and Huan Yang
Phys. Rev. D 107, 123036 – Published 30 June 2023

Abstract

One of the primary targets of third-generation (3G) ground-based gravitational wave (GW) detectors is detecting the stochastic GW background (SGWB) from early Universe processes. The astrophysical foreground from compact binary mergers will be a major contamination to the background, which must be reduced to high precision to enable the detection of the primordial background. In this work, we revisit the limit of foreground reduction computed in previous studies, point out potential problems in previous foreground cleaning methods, and propose a novel cleaning method subtracting the approximate signal strain and removing the average residual power. With this method, the binary black hole foreground is reduced with fractional residual energy density below 104 for frequency f(10,102)Hz, below 103 for frequency f(102,103)Hz and below the detector sensitivity limit for all relevant frequencies in our simulations. Similar precision is achieved to clean the foreground from binary neutron stars (BNSs) that are above the detection threshold, so that the residual foreground is dominated by subthreshold BNSs, which will be the next critical problem to solve for detecting the primordial SGWB in the 3G era.

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  • Received 23 January 2023
  • Accepted 12 June 2023

DOI:https://doi.org/10.1103/PhysRevD.107.123036

© 2023 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Zhen Pan1,2,3,* and Huan Yang3,4,†

  • 1Tsung-Dao Lee Institute, Shanghai Jiao-Tong University, Shanghai, 520 Shengrong Road, 201210, People’s Republic of China
  • 2School of Physics and Astronomy, Shanghai Jiao-Tong University, Shanghai, 800 Dongchuan Road, 200240, People’s Republic of China
  • 3Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada
  • 4University of Guelph, Guelph, Ontario N1G 2W1, Canada

  • *zpan@perimeterinstitute.ca
  • hyang@perimeterinstitute.ca

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Vol. 107, Iss. 12 — 15 June 2023

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