A physics-based neural network reconstruction of the dense matter equation of state from neutron sta...
A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables
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Publisher
EDP Sciences
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Language
English
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EDP Sciences
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Contents
We introduce a novel technique that utilizes a physics-driven deep learning method to reconstruct the dense matter equation of state from neutron star observables, particularly the masses and radii. The proposed framework involves two neural networks: one to optimize the EoS using Automatic Differentiation in the unsupervised learning scheme; and a...
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Full title
A physics-based neural network reconstruction of the dense matter equation of state from neutron star observables
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TN_cdi_doaj_primary_oai_doaj_org_article_aa08e7e8384346fc9845c181192a3e3c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa08e7e8384346fc9845c181192a3e3c
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ISSN
2100-014X
E-ISSN
2100-014X
DOI
10.1051/epjconf/202327606007
