Bayesian uncertainty quantification of perturbative QCD input to the neutron-star equation of state
The equation of state of neutron-star cores can be constrained by requiring a consistent connection to the perturbative Quantum Chromodynamics (QCD) calculations at high densities. The constraining power of the QCD input depends on uncertainties from missing higher-order terms, the choice of the unp...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2023
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| In: |
Journal of high energy physics
Year: 2023, Heft: 6, Pages: 1-27 |
| ISSN: | 1029-8479 |
| DOI: | 10.1007/JHEP06(2023)002 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/JHEP06(2023)002 |
| Verfasserangaben: | Tyler Gorda, Oleg Komoltsev, Aleksi Kurkela and Aleksas Mazeliauskas |
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| 520 | |a The equation of state of neutron-star cores can be constrained by requiring a consistent connection to the perturbative Quantum Chromodynamics (QCD) calculations at high densities. The constraining power of the QCD input depends on uncertainties from missing higher-order terms, the choice of the unphysical renormalization scale, and the reference density where QCD calculations are performed. Within a Bayesian approach, we discuss the convergence of the perturbative QCD series, quantify its uncertainties at high densities, and present a framework to systematically propagate the uncertainties down to neutron-star densities. We find that the effect of the QCD input on the neutron-star inference is insensitive to the various unphysical choices made in the uncertainty estimation. | ||
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