From chiral effective field theory to perturbative QCD: A Bayesian model mixing approach to symmetric nuclear matter

Constraining the equation of state (EOS) of strongly interacting, dense matter is the focus of intense experimental, observational, and theoretical effort. Chiral effective field theory ($\ensuremath{\chi}\mathrm{EFT}$) can describe the EOS between the typical densities of nuclei and those in the outer cores of neutron stars, while perturbative QCD (pQCD) can be applied to properties of deconfined quark matter, both with quantified theoretical uncertainties. However, describing the full range of densities in between with a single EOS that has well-quantified uncertainties is a challenging problem. Bayesian multimodel inference from $\ensuremath{\chi}\mathrm{EFT}$ and pQCD can help bridge the gap between the two theories. In this work, we introduce a correlated Bayesian model mixing framework that uses a Gaussian process (GP) to assimilate different information into a single QCD EOS for symmetric nuclear matter. The present implementation uses a stationary GP to infer this mixed EOS solely from the EOSs of $\ensuremath{\chi}\mathrm{EFT}$ and pQCD while accounting for the truncation errors of each theory. The GP is trained on the pressure as a function of number density in the low- and high-density regions where $\ensuremath{\chi}\mathrm{EFT}$ and pQCD are, respectively, valid. We impose priors on the GP kernel hyperparameters to suppress unphysical correlations between these regimes. This, together with the assumption of stationarity, results in smooth $\ensuremath{\chi}\mathrm{EFT}$-to-pQCD curves for both the pressure and the speed of sound. We show that using uncorrelated mixing requires uncontrolled extrapolation of at least one of $\ensuremath{\chi}\mathrm{EFT}$ or pQCD into regions where the perturbative series breaks down and leads to an acausal EOS. We also discuss extensions of this framework to nonstationary and less differentiable GP kernels, its future application to neutron-star matter, and the incorporation of additional constraints from nuclear theory, experiment, and multimessenger astronomy.

Authors

Institutions

Publication Details

Journal
Physical review. C
Published
2025-03-11
DOI
https://doi.org/10.1103/physrevc.111.035804
Citations
7
Primary Topic
Quantum Chromodynamics and Particle Interactions
Type
article
Field-Weighted Citation Impact
13.09

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From chiral effective field theory to perturbative QCD: A Bayesian model mixing approach to symmetric nuclear matter

C. Drischler, J. A. Melendez, R. J. Furnstahl, Daniel R. Phillips et al.
7 citations
Physical review. C
Quantum Chromodynamics and Particle Interactions
13.09
article

From chiral effective field theory to perturbative QCD: A Bayesian model mixing approach to symmetric nuclear matter

C. Drischler, J. A. Melendez, R. J. Furnstahl, Daniel R. Phillips, A. C. Semposki
article en
7 citations

Abstract

Constraining the equation of state (EOS) of strongly interacting, dense matter is the focus of intense experimental, observational, and theoretical effort. Chiral effective field theory ($\ensuremath{\chi}\mathrm{EFT}$) can describe the EOS between the typical densities of nuclei and those in the outer cores of neutron stars, while perturbative QCD (pQCD) can be applied to properties of deconfined quark matter, both with quantified theoretical uncertainties. However, describing the full range of densities in between with a single EOS that has well-quantified uncertainties is a challenging problem. Bayesian multimodel inference from $\ensuremath{\chi}\mathrm{EFT}$ and pQCD can help bridge the gap between the two theories. In this work, we introduce a correlated Bayesian model mixing framework that uses a Gaussian process (GP) to assimilate different information into a single QCD EOS for symmetric nuclear matter. The present implementation uses a stationary GP to infer this mixed EOS solely from the EOSs of $\ensuremath{\chi}\mathrm{EFT}$ and pQCD while accounting for the truncation errors of each theory. The GP is trained on the pressure as a function of number density in the low- and high-density regions where $\ensuremath{\chi}\mathrm{EFT}$ and pQCD are, respectively, valid. We impose priors on the GP kernel hyperparameters to suppress unphysical correlations between these regimes. This, together with the assumption of stationarity, results in smooth $\ensuremath{\chi}\mathrm{EFT}$-to-pQCD curves for both the pressure and the speed of sound. We show that using uncorrelated mixing requires uncontrolled extrapolation of at least one of $\ensuremath{\chi}\mathrm{EFT}$ or pQCD into regions where the perturbative series breaks down and leads to an acausal EOS. We also discuss extensions of this framework to nonstationary and less differentiable GP kernels, its future application to neutron-star matter, and the incorporation of additional constraints from nuclear theory, experiment, and multimessenger astronomy.

Physical review. CVol. 111(3)
Ohio University (US), Facility for Rare Isotope Beams, The Ohio State University (US), Chalmers University of Technology (SE), Michigan State University (US)
National Science Foundation, U.S. Department of Energy, Vetenskapsrådet, Office of Science
Climate action
Openalex Percentile: Top 2%
Quantum Chromodynamics and Particle Interactions
13.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.