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...

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Bibliographic Details
Main Authors: Gorda, Tyler (Author) , Komoltsev, Oleg (Author) , Kurkela, Aleksi (Author) , Mazeliauskas, Aleksas (Author)
Format: Article (Journal)
Language:English
Published: 2023
In: Journal of high energy physics
Year: 2023, Issue: 6, Pages: 1-27
ISSN:1029-8479
DOI:10.1007/JHEP06(2023)002
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/JHEP06(2023)002
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Author Notes:Tyler Gorda, Oleg Komoltsev, Aleksi Kurkela and Aleksas Mazeliauskas
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Summary: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.
Item Description:Veröffentlicht: 01. Juni 2023
Gesehen am 24.07.2023
Physical Description:Online Resource
ISSN:1029-8479
DOI:10.1007/JHEP06(2023)002