1.2k citations · 2.2k across the 21 of their papers we have counts for
21 papers
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations
Alexander Brace, Igor Yakushin, Heng Ma +7
Machine learning (ML)-based steering can improve the performance of ensemble-based simulations by allowing for online selection of more scientifically meaningful computations. We p…
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…
Regression of Environmental Noise in LIGO Data
Vaibhav Tiwari, Marco Drago, Valery Frolov +8
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the…
Prospects for intermediate mass black hole binary searches with advanced gravitational-wave detectors
G. Mazzolo, F. Salemi, M. Drago +8
We estimated the sensitivity of the upcoming advanced, ground-based gravitational-wave observatories (the upgraded LIGO and Virgo and the KAGRA interferometers) to coalescing inter…
Search for Gravitational Waves from Binary Black Hole Inspiral, Merger and Ringdown in LIGO-Virgo Data from 2009-2010
The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +800
We report a search for gravitational waves from the inspiral, merger and ringdown of binary black holes (BBH) with total mass between 25 and 100 solar masses, in data taken at the…
Localization of gravitational wave sources with networks of advanced detectors
S. Klimenko, G. Vedovato, M. Drago +7
Coincident observations with gravitational wave (GW) detectors and other astronomical instruments are in the focus of the experiments with the network of LIGO, Virgo and GEO detect…