Metric assisted stochastic sampling search for gravitational waves from binary black hole mergers

We present a novel gravitational-wave detection algorithm that conducts matched-filter search stochastically across the compact binary parameter space rather than relying on fixed bank of template waveforms. This technique is competitive with standard template-bank-driven pipelines in both computational cost and sensitivity. However, complexity analysis simpler, allowing for easy configuration horizontal scaling heterogeneous grids computers. To demonstrate method we analyze approximately one month public LIGO data from July 27 00:00 2017 UTC–Aug 25 22:00 UTC recover eight known confident candidates. also inject simulated black hole signals to sensitivity.Received 1 November 2021Accepted 4 October 2022DOI:https://doi.org/10.1103/PhysRevD.106.084033© 2022 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasClassical holesGravitational wave detectionGravitational sourcesGravitation, Cosmology & Astrophysics