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Cited by 281

The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.

Neutron stars and the nuclear equation of state

Open access
Burgio, G.F., Schulze, H.-J., Vidaña, I., Wei, J.-B.·2021·Progress in Particle and Nuclear Physics

Abstract

Abstract We review the current status and recent progress of microscopic many-body approaches and phenomenological models, which are employed to construct the equation of state of neutron stars. The equation of state is relevant for the description of their structure and dynamical properties, and it rules also the dynamics of core-collapse supernovae and binary neutron star mergers. We describe neutron star matter assuming that the main degrees of freedom are nucleons and hyperons, disregarding the appearance of quark matter. We compare the theoretical predictions of the different equation-of-state models with the currently available data coming from both terrestrial laboratory experiments and recent astrophysical observations. We also analyse the importance of the nuclear strong interaction and equation of state for the cooling properties of neutron stars. We discuss the main open challenges in the description of the equation of state, mainly focusing on the limits of the different many-body techniques, the so-called “hyperon puzzle,” and the dependence of the direct URCA processes on the equation of state.

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Metadata

Authors
Burgio, G. F., Schulze, H.-J., Vidaña, I., & Wei, J.-B.
Venue
Progress in Particle and Nuclear Physics
Publisher
Elsevier BV
Published
2021-09
Volume
120
Pages
103879
ISSN
0146-6410 (ISSN-L)
OpenAlex
W3160228685
Cited by
281
References
178
FWCI
20.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Neutron stars and the nuclear equation of state. https://app.cochat.ai/papers/10.1016/j.ppnp.2021.103879
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Burgio, G. F., Schulze, H.-J., Vidaña, I., & Wei, J.-B. (2021). Neutron stars and the nuclear equation of state. Progress in Particle and Nuclear Physics. https://doi.org/10.1016/j.ppnp.2021.103879

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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