415 citations · 1.5k across the 26 of their papers we have counts for
8 papers · 1 filter
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…
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…
The search of higher multipole radiation in gravitational waves from compact binary coalescences by a minimally-modelled pipeline
O. Halim, G. Vedovato, E. Milotti +13
The coherent WaveBurst (cWB) pipeline implements a minimally-modelled search to find a coherent response in the network of gravitational wave detectors of the LIGO-Virgo Collaborat…
Detection of LIGO-Virgo binary black holes in the pair-instability mass gap
Brendan O'Brien, Marek Szczepanczyk, V. Gayathri +5
By probing the population of binary black hole (BBH) mergers detected by LIGO-Virgo, we can infer properties about the underlying black hole formation channels. A mechanism known a…
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…
Coherent WaveBurst, a pipeline for unmodeled gravitational-wave data analysis
M. Drago, V. Gayathri, S. Klimenko +12
coherent WaveBurst (cWB) is a highly configurable pipeline designed to detect a broad range of gravitational-wave (GW) transients in the data of the worldwide network of GW detecto…
Interpreting gravitational-wave burst detections: constraining source properties without astrophysical models
Bence Bécsy, Peter Raffai, Kiranjyot Gill +3
We show that for detections of gravitational-wave transients, constraints can be given on physical parameters of the source without using any specific astrophysical models. Relying…
Machine-learning non-stationary noise out of gravitational wave detectors
Gabriele Vajente, Yiwen Huang, Maximiliano Isi +4
Signal extraction out of background noise is a common challenge in high precision physics experiments, where the measurement output is often a continuous data stream. To improve th…