July 5, 2025 Dataset Open Access

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

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        <foaf:name>Blaschke, David</foaf:name>
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        <foaf:name>Pablo Carlomagno, Juan</foaf:name>
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        <foaf:name>Contrera, Gustavo A.</foaf:name>
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        <foaf:name>Gabriela Grunfeld, Ana</foaf:name>
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        <foaf:familyName>Gabriela Grunfeld</foaf:familyName>
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    <dct:title>Data publication: Bayesian Analysis of Hybrid Neutron Star EOS Constraints within an Instantaneous Nonlocal Chiral Quark Matter Model</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2025</dct:issued>
    <dcat:keyword>Bayesian analysis</dcat:keyword>
    <dcat:keyword>hybrid neutron stars</dcat:keyword>
    <dcat:keyword>color superconductivity</dcat:keyword>
    <dcat:keyword>quark deconfinement</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-07-05</dct:issued>
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    <dct:description>&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;</dct:description>
    <dct:description xml:lang="">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.</dct:description>
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