1.3k citations · 12.3k across the 171 of their papers we have counts for
171 papers
An Optically Targeted Search for Gravitational Waves emitted by Core-Collapse Supernovae during the Third Observing Run of Advanced LIGO and Advanced Virgo
Marek J. Szczepańczyk, Yanyan Zheng, Javier M. Antelis +35
We present the results from a search for gravitational-wave transients associated with core-collapse supernovae observed optically within 30 Mpc during the third observing run of A…
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…
Wavescan: Multiresolution Time-Frequency Transform of Gravitational-Wave Data
Sergey Klimenko
Identifying transient signals embedded in non-stationary noise requires analyzing the time-dependent spectral components of the observed time series. The time-frequency distributio…
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…
Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era
Marek Szczepanczyk, Javier Antelis, Michael Benjamin +17
We performed a detailed analysis of the detectability of a wide range of gravitational waves derived from core-collapse supernova simulations using gravitational-wave detector nois…