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Neural network reconstruction of the dense matter equation of state from neutron star observables

Neural network reconstruction of the dense matter equation of state from neutron star observables

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2617118065

Neural network reconstruction of the dense matter equation of state from neutron star observables

About this item

Full title

Neural network reconstruction of the dense matter equation of state from neutron star observables

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-09

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The Equation of State (EoS) of strongly interacting cold and hot ultra-dense QCD matter remains a major challenge in the field of nuclear astrophysics. With the advancements in measurements of neutron star masses, radii, and tidal deformabilities, from electromagnetic and gravitational wave observations, neutron stars play an important role in cons...

Alternative Titles

Full title

Neural network reconstruction of the dense matter equation of state from neutron star observables

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2617118065

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2617118065

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2201.01756

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