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Bayesian uncertainty quantification of perturbative QCD input to the neutron-star equation of state

Authors :
Gorda, Tyler
Komoltsev, Oleg
Kurkela, Aleksi
Mazeliauskas, Aleksas
Publication Year :
2023

Abstract

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.<br />Comment: Version 2 - published version, minor changes. 12 pages, 10 figs

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2303.02175
Document Type :
Working Paper
Full Text :
https://doi.org/10.1007/JHEP06(2023)002