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

    Mark Ho-Yeuk Cheung1,*, Digvijay Wadekar1, Ajit Kumar Mehta2, Tousif Islam3, Javier Roulet4, Emanuele Berti1, Tejaswi Venumadhav2,5, Barak Zackay6, and Matias Zaldarriaga7

    • *Contact author: hcheung5@jhu.edu

    Phys. Rev. D 113, 023003 – Published 6 January, 2026

    DOI: https://doi.org/10.1103/l3ql-mv6v

    Abstract

    Intermediate mass ratio inspirals (IMRIs) of binary black holes with mass ratios 10−4≲q≲0.1 are astrophysically interesting sources of gravitational waves. Mergers of intermediate-mass black holes (IMBHs) with stellar-mass black holes would be IMRIs, so their detection can help us probe the formation mechanisms of IMBHs. They can also help us perform precise tests of general relativity due to the presence of strong higher-order mode emission. We perform a search for aligned-spin IMRIs within the data of the two LIGO detectors in the third observing run (O3) of the LIGO-Virgo-KAGRA (LVK) Collaboration, including higher modes in the template banks for the first time. We use the IAS-HM pipeline for our search and construct template banks in the range 1/100<q<1/18 using the SEOBNRv5HM waveform model. Our banks retain a similar level of effectualness for IMRPhenomXHM and BHPTNRSur2dq1e3 waveforms, making our search results relatively robust against waveform systematics. We show that the sensitivity volume of the search increases by up to ∼500% upon inclusion of higher modes. We do not find any significant candidates with inverse false alarm rate (IFAR) >1  year in the O3 data. This gives us upper limits on the IMRI merger rate in the local Universe, ranging from ∼30 to 103  Gpc−3 yr−1 depending on the masses of the black holes in the binary. These constraints are consistent with rate predictions in the literature. Our projections indicate that we would be able to detect IMRIs or constrain some of their proposed formation channels in the fourth (O4) and fifth (O5) observing runs.

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