Detectability of eccentric binary black holes with PyCBC and cWB pipelines during the third observing run of LIGO-Virgo-KAGRA
Bhooshan Gadre, Kanchan Soni, Shubhanshu Tiwari, Antoni Ramos-Buades,, Maria Haney, Sanjit Mitra

TL;DR
This study compares the sensitivity of PyCBC and cWB pipelines in detecting eccentric binary black hole mergers during LIGO-Virgo-KAGRA's third observing run, highlighting the need for dedicated eccentric search methods.
Contribution
It provides a comparative analysis of existing search pipelines' effectiveness for eccentric BBH mergers and emphasizes the importance of developing specialized detection algorithms.
Findings
PyCBC sensitivity drops 10-20% for eccentricities > 0.2
cWB shows a 10% sensitivity increase for heavier eccentric BBH mergers
Current pipelines are insufficiently sensitive to eccentric BBH signals
Abstract
Detecting binary black hole (BBH) mergers with quantifiable orbital eccentricity would confirm the existence of a dynamical formation channel for these binaries. The current state-of-the-art gravitational wave searches of LIGO-Virgo-KAGRA strain data focus more on quasicircular mergers due to increased dimensionality and lack of efficient eccentric waveform models. In this work, we compare the sensitivities of two search pipelines, the matched filter-based \texttt{PyCBC} and the unmodelled coherent Wave Burst (\texttt{cWB}) algorithms towards the spinning eccentric BBH mergers, using a multipolar nonprecessing-spin eccentric signal model, \texttt{SEOBNRv4EHM}. Our findings show that neglecting eccentricity leads to missed opportunities for detecting eccentric BBH mergers, with \texttt{PyCBC} exhibiting a sensitivity loss for eccentricities exceeding defined at …
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Astrophysical Phenomena and Observations · Astronomical Observations and Instrumentation
