Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data
A Bayesian framework is introduced to constrain the density dependence of the Equation of State (EoS) for nuclear matter. The EoS is inferred using existing measurements of elliptic flow and the mean transverse kinetic energy of protons in the beam energy range of √sNN = 2−10 GeV. Tight constraints...
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| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_06001.pdf |
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| _version_ | 1832098421042839552 |
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| author | Kuttan Manjunath Omana Steinheimer Jan Zhou Kai Stoecker Horst |
| author_facet | Kuttan Manjunath Omana Steinheimer Jan Zhou Kai Stoecker Horst |
| author_sort | Kuttan Manjunath Omana |
| collection | DOAJ |
| description | A Bayesian framework is introduced to constrain the density dependence of the Equation of State (EoS) for nuclear matter. The EoS is inferred using existing measurements of elliptic flow and the mean transverse kinetic energy of protons in the beam energy range of √sNN = 2−10 GeV. Tight constraints are obtained for densities up to 4 times the nuclear saturation density. However, the results are highly sensitive to the choice of observables, highlighting the need for consistent, high-precision measurements in this energy range. |
| format | Article |
| id | doaj-art-7a727ec5164b4f8dab8e842ebd82e99e |
| institution | Kabale University |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-7a727ec5164b4f8dab8e842ebd82e99e2025-02-05T10:53:02ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013160600110.1051/epjconf/202531606001epjconf_sqm2024_06001Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision dataKuttan Manjunath Omana0Steinheimer Jan1Zhou Kai2Stoecker Horst3Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, D-60438 Frankfurt am MainFrankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, D-60438 Frankfurt am MainFrankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, D-60438 Frankfurt am MainFrankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, D-60438 Frankfurt am MainA Bayesian framework is introduced to constrain the density dependence of the Equation of State (EoS) for nuclear matter. The EoS is inferred using existing measurements of elliptic flow and the mean transverse kinetic energy of protons in the beam energy range of √sNN = 2−10 GeV. Tight constraints are obtained for densities up to 4 times the nuclear saturation density. However, the results are highly sensitive to the choice of observables, highlighting the need for consistent, high-precision measurements in this energy range.https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_06001.pdf |
| spellingShingle | Kuttan Manjunath Omana Steinheimer Jan Zhou Kai Stoecker Horst Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data EPJ Web of Conferences |
| title | Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data |
| title_full | Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data |
| title_fullStr | Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data |
| title_full_unstemmed | Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data |
| title_short | Bayesian constraints on the high density QCD EoS for nuclear matter from Heavy-ion collision data |
| title_sort | bayesian constraints on the high density qcd eos for nuclear matter from heavy ion collision data |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_06001.pdf |
| work_keys_str_mv | AT kuttanmanjunathomana bayesianconstraintsonthehighdensityqcdeosfornuclearmatterfromheavyioncollisiondata AT steinheimerjan bayesianconstraintsonthehighdensityqcdeosfornuclearmatterfromheavyioncollisiondata AT zhoukai bayesianconstraintsonthehighdensityqcdeosfornuclearmatterfromheavyioncollisiondata AT stoeckerhorst bayesianconstraintsonthehighdensityqcdeosfornuclearmatterfromheavyioncollisiondata |