Search technique to observe precessing compact binary mergers in the advanced detector era

Mar 30, 2023
23 pages
Published in:
  • Phys.Rev.D 108 (2023) 12, 123016
  • Published: Dec 11, 2023
e-Print:
DOI:
Report number:
  • LIGO-P2300071

Citations per year

2023202420254132
Abstract: (APS)
Gravitational-wave signals from compact binary coalescences are most effectively identified by matched filter searches. These searches match the data against a pregenerated bank of gravitational-wave templates. Currently, all modeled gravitational-wave searches use templates that restrict the component spins to be aligned (or antialigned) with the orbital angular momentum. This means that they are less sensitive to gravitational-wave signals from precessing binaries, implying that a significant fraction of signals may remain undetected. In this work, we introduce a matched filter search that is sensitive to signals generated from precessing binaries. We take advantage of the fact that a gravitational-wave signal from a precessing binary can be decomposed into a power series of five harmonics. This allows us to create a generic-spin template bank that is only 3 times larger than existing aligned-spin banks. Our new search shows a 100% increase in sensitive volume for neutron star black hole binaries with total mass larger than 17.5M and in-plane spins >0.67, and improves sensitivity by 60% on average across the full generic spin neutron-star black-hole parameter space. In addition, our generic spin search performs as well as existing aligned-spin searches for neutron star black hole signals with insignificant in-plane spins. We anticipate that this improved technique will identify significantly more gravitational-wave signals and help shed light on the unknown spin distribution of binaries in the Universe.
Note:
  • binary: compact
  • black hole
  • binary: coalescence
  • gravitational radiation
  • spin: precession
  • neutron star
  • sensitivity
  • angular momentum
  • expansion: harmonic
  • gravitational radiation detector