Enhancing gravitational-wave science with machine learning

Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michał Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams

2020Machine Learning Science and Technology165 citationsDOI Open Access PDF

Abstract

Enhancing gravitational-wave science with machine learning, Cuoco, Elena, Powell, Jade, Cavaglià, Marco, Ackley, Kendall, Bejger, Michał, Chatterjee, Chayan, Coughlin, Michael, Coughlin, Scott, Easter, Paul, Essick, Reed, Gabbard, Hunter, Gebhard, Timothy, Ghosh, Shaon, Haegel, Leïla, Iess, Alberto, Keitel, David, Márka, Zsuzsa, Márka, Szabolcs, Morawski, Filip, Nguyen, Tri, Ormiston, Rich, Pürrer, Michael, Razzano, Massimiliano, Staats, Kai, Vajente, Gabriele, Williams, Daniel

Topics & Concepts

Machine learningComputer scienceArtificial intelligenceDetectorSensitivity (control systems)Active learning (machine learning)Computational learning theoryExperimental scienceKey (lock)Support vector machinePulsars and Gravitational Waves ResearchGaussian Processes and Bayesian InferenceQuantum Chromodynamics and Particle Interactions