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

Tyler Gorda, Oleg Komoltsev, Aleksi Kurkela, Aleksas Mazeliauskas

2023Journal of High Energy Physics39 citationsDOIOpen Access PDF

Abstract

A bstract 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.

Topics & Concepts

PhysicsQuantum chromodynamicsPerturbative QCDNeutron starParticle physicsEquation of stateRenormalizationQuantum electrodynamicsStatistical physicsQuantum mechanicsPulsars and Gravitational Waves ResearchGamma-ray bursts and supernovaeGeophysics and Gravity Measurements
Bayesian uncertainty quantification of perturbative QCD input to the neutron-star equation of state | Litcius