Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using d...
Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning
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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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Gravitational Waves (GWs) from coalescing binaries carry crucial information about their component sources, like mass, spin and tidal effects. This implies that the analysis of GW signals from binary neutron star mergers can offer unique opportunities to extract information about the tidal properties of NSs, thereby adding constraints to the NS equ...
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Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning
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TN_cdi_proquest_journals_2832637503
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2832637503
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2331-8422
