activity
20212026
most citedMLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

65 citations · 151 across the 8 of their papers we have counts for

collaborators
Showing gr-qcShow all

5 papers · 1 filter

gr-qc2025

Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run

Reed Essick, Michael W. Coughlin, Michael Zevin +21

We describe the effort to characterize gravitational-wave searches and detector sensitivity to different types of compact binary coalescences during the LIGO-Virgo-KAGRA Collaborat…

gr-qc2024★ 1 cited

Gravitational Wave Detector Sensitivity to Eccentric Black Hole Mergers

Shubhagata Bhaumik, V. Gayathri, Imre Bartos +8

Orbital eccentricity in compact binary mergers carries crucial information about the binary's formation and environment. There are emerging signs that some of the mergers detected…

gr-qc2022★ 29 cited

Search for gravitational-wave bursts in the third Advanced LIGO-Virgo run with coherent WaveBurst enhanced by Machine Learning

Marek J. Szczepańczyk, Francesco Salemi, Sophie Bini +13

This paper presents a search for generic short-duration gravitational-wave (GW) transients (or GW bursts) in the data from the third observing run of Advanced LIGO and Advanced Vir…

gr-qc2022★ 22 cited

Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning

T. Mishra, B. O'Brien, M. Szczepanczyk +8

In this work, we use the coherent WaveBurst (cWB) pipeline enhanced with machine learning (ML) to search for binary black hole (BBH) mergers in the Advanced LIGO-Virgo strain data…

gr-qc2021★ 31 cited

Optimization of model independent gravitational wave search using machine learning

Tanmaya Mishra, Brendan O'Brien, V. Gayathri +4

The Coherent WaveBurst (cWB) search algorithm identifies generic gravitational wave (GW) signals in the LIGO-Virgo strain data. We propose a machine learning (ML) method to optimiz…