240 citations · 585 across the 5 of their papers we have counts for
5 papers
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…
4-OGC: Catalog of gravitational waves from compact-binary mergers
Alexander H. Nitz, Sumit Kumar, Yi-Fan Wang +5
We present the fourth Open Gravitational-wave Catalog (4-OGC) of binary neutron star (BNS), binary black hole (BBH) and neutron star-black hole (NSBH) mergers. The catalog includes…
From One to Many: A Deep Learning Coincident Gravitational-Wave Search
Marlin B. Schäfer, Alexander H. Nitz
Gravitational waves from the coalescence of compact-binary sources are now routinely observed by Earth bound detectors. The most sensitive search algorithms convolve many different…
Training Strategies for Deep Learning Gravitational-Wave Searches
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +2
Compact binary systems emit gravitational radiation which is potentially detectable by current Earth bound detectors. Extracting these signals from the instruments' background nois…
3-OGC: Catalog of gravitational waves from compact-binary mergers
Alexander H. Nitz, Collin D. Capano, Sumit Kumar +5
We present the third Open Gravitational-wave Catalog (3-OGC) of compact-binary coalescences, based on the analysis of the public LIGO and Virgo data from 2015 through 2019 (O1, O2,…