July 5, 2025 Dataset Open Access

Ayriyan, Alexander; Blaschke, David; Pablo Carlomagno, Juan; Contrera, Gustavo A.; Gabriela Grunfeld, Ana

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  <identifier identifierType="DOI">10.14278/rodare.3855</identifier>
  <creators>
    <creator>
      <creatorName>Ayriyan, Alexander</creatorName>
      <givenName>Alexander</givenName>
      <familyName>Ayriyan</familyName>
    </creator>
    <creator>
      <creatorName>Blaschke, David</creatorName>
      <givenName>David</givenName>
      <familyName>Blaschke</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8399-5183</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Pablo Carlomagno, Juan</creatorName>
      <givenName>Juan</givenName>
      <familyName>Pablo Carlomagno</familyName>
    </creator>
    <creator>
      <creatorName>Contrera, Gustavo A.</creatorName>
      <givenName>Gustavo A.</givenName>
      <familyName>Contrera</familyName>
    </creator>
    <creator>
      <creatorName>Gabriela Grunfeld, Ana</creatorName>
      <givenName>Ana</givenName>
      <familyName>Gabriela Grunfeld</familyName>
    </creator>
  </creators>
  <titles>
    <title>Data publication: Bayesian Analysis of Hybrid Neutron Star EOS Constraints within an Instantaneous Nonlocal Chiral Quark Matter Model</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2025</publicationYear>
  <subjects>
    <subject>Bayesian analysis</subject>
    <subject>hybrid neutron stars</subject>
    <subject>color superconductivity</subject>
    <subject>quark deconfinement</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2025-07-05</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3855</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsReferencedBy">10.3390/universe11050141</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-41590</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-41519</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.3854</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/matter</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset contains tabulated hybrid Equations of State (EOS) for neutron star matter, with a phase transition generated by a Maxwell construction between an instantaneous nonlocal chiral quark model for the quark matter phase and the relativistic mean field model &amp;quot;DD2&amp;quot; for the nuclear matter phase. The Bayesian analysis explores the EOS parameter space characterized by the coupling constants \eta_D and \eta_V, which govern diquark and vector interactions, respectively. The provided data includes EOS tables for selected parameter sets. The coupling parameters were selected from the 60% Bayesian credibility region for physically significant cases (see figure Hybrid_EoS_Bayesian_Analysis.png), such as: &amp;bull; the maximum and minimum neutron star masses &amp;bull; the maximum and minimum neutron star onset &amp;bull; the most probable EOS from the Bayesian posterior This dataset enables further analysis of neutron star properties, supporting transparency and reproducibility of the published results.&lt;/p&gt;</description>
    <description descriptionType="Other">The research was supported by the Polish National Science Center (NCN) under the Polonez-BIS program with grant number 2021/43/P/ST2/03319 and by the Argentinian organizations CONICET, ANPCyT and UNLP under grants Numbers PIP 2022-2024 GI-11220210100150CO, PICT19-00792, PICT22-03-00799 and X960, respectively.</description>
  </descriptions>
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