Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gra...
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Recent advancements in gravitational wave astronomy have seen the application of convolutional neural networks (CNNs) in signal detection from compact binary coalescences. This study presents a comparative analysis of two CNN architectures: one-dimensional (1D) and two-dimensional (2D) along with an ensemble model combining both. We trained these m...
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Full title
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
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TN_cdi_proquest_journals_2900438527
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2900438527
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2312.04855
