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Salient features of the optimised PyCBC IMBH search

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arxiv 2110.01879 v2 pith:7TZQD5D7 submitted 2021-10-05 gr-qc

Koustav Chandra , Archana Pai , V. Villa-Ortega , T. Dent , C. McIsaac , I. W. Harry , G. S. Cabourn Davies , K. Soni This is my paper
classification gr-qc
keywords pycbcsearchimbhoptimisedsearchessignalsbinariesbinary
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abstract

Matched-filter based PyCBC searches have successfully detected $\sim \mathcal{O}(50)$ compact binary merger signals in the LIGO-Virgo data. While most PyCBC searches have been designed to detect stellar-mass binaries, we present here a new search that is optimised to detect short-duration \ac{GW} signals emitted by intermediate-mass black hole mergers. When applied to the first half of the third observation run data, the optimised search re-identified the \ac{IMBH} binary event, GW190521, with a false alarm rate of 1 in 727 yrs, significantly lower than the previous PyCBC search result of 1 in 0.94 yr. Analysis of simulated signals from \ac{IMBH} binaries with generically spinning components shows an increase in sensitivity by a factor of 1.2 to 3 over previous PyCBC searches.

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  1. Searching for intermediate mass ratio binary black hole mergers in the third observing run of LIGO-Virgo-KAGRA

    gr-qc 2025-07 conditional novelty 6.0 of 10

    No confident intermediate mass ratio inspirals are found in LIGO-Virgo-KAGRA O3 data, yielding 90% upper limits of roughly 30-1000 Gpc^-3 yr^-1 on their local merger rate and showing higher modes boost search volume b...

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