Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks

Gravitational wave astronomy is a vibrant field that leverages both classic and modern data processing techniques for the understanding of the universe. Various approaches have been proposed for improving the efficiency of the detection scheme, with hierarchical matched filtering being an important...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Yan, Jingkai, Colgan, Robert, Wright, John, Márka, Zsuzsa, Bartos, Imre, Márka, Szabolcs
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomy Computer Science - Learning Data processing Deep learning Efficiency Filtration Gravitational waves Neural networks Physics - General Relativity and Quantum Cosmology Physics - Instrumentation and Methods for Astrophysics Statistical methods
Online-Zugang:	Volltext
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