Machine Learning Techniques for Gravitational Wave Detection
ORAL · E17 · ID: 49994
Presentations
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Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with Machine Learning
ORAL
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Publication: Optimization of model independent gravitational wave search for binary black hole mergers using machine learning, Phys. Rev. D 104, 023014<br>Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning, Manuscript ready for submission
Presenters
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Tanmaya Mishra
University of Florida
Authors
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Tanmaya Mishra
University of Florida
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Brendan D O'Brien
University of Florida
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Marek Szczepanczyk
University of Florida
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Gabriele Vedovato
INFN, Sezione di Padova, I-35131 Padova, Italy
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Shubhagata Bhaumik
University of Florida
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Gayathri Vivekananthaswamy
University of Florida
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Giovanni Prodi
Universita di Trento, Dipartimento di Matematica, I-38123 Povo, Trento, Italy
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Francesco Salemi
Universita di Trento, Dipartimento di Fisica, I-38123 Povo, Trento, Italy
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Edoardo Milotti
Univ of Trieste - Trieste
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Imre Bartos
University of Florida
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Sergey G Klimenko
University of Florida
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Rapid gravitational wave source properties inference using supervised learning
ORAL
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Publication: Phys. Rev. D 104, 083003<br>ApJ, Volume 896, Number 1
Presenters
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Shaon Ghosh
Montclair State University
Authors
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Shaon Ghosh
Montclair State University
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Gravitational-wave burst searches enhanced with Machine Learning
ORAL
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Publication: Paper is planned
Presenters
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Marek Szczepanczyk
University of Florida
Authors
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Marek Szczepanczyk
University of Florida
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Wavescan: multiresolution regression of gravitational-wave data.
ORAL
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Presenters
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Sergey G Klimenko
University of Florida
Authors
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Sergey G Klimenko
University of Florida
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Learning orbital dynamics of binary black hole systems from gravitational wave measurements
ORAL
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Presenters
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Scott E Field
University of Massachusetts Dartmouth
Authors
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Scott E Field
University of Massachusetts Dartmouth
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Brendan Keith
Lawrence Livermore National Laboratory
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Akshay Khadse
The University of Mississippi
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Real-time localization of gravitational waves from compact binary coalescences using deep learning
ORAL
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Publication: Planned paper: Real-time localization of gravitational waves from compact binary coalescences using deep learning
Presenters
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Chayan Chatterjee
Univ of Western Australia
Authors
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Chayan Chatterjee
Univ of Western Australia
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Linqing Wen
University of Western Australia
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Damon Beveridge
University of Western Australia
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