Year: 2025
Type: article
Abstract: We develop a generative model for the nuclear matter equation of state at zero net baryon density using the Gaussian process regression method. We impose first-principles theoretical constraints from lattice quantum chromodynamics and hadron resonance gas at high- and low-temperature regions, respectively. By allowing the trained Gaussian process regression model to vary freely near the phase transition region, we generate random smooth crossover equations of state with different speeds of sound that do not rely on specific parametrizations. We explore a collection of experimental observable dependencies on the generated equations of state, which paves the groundwork for future Bayesian inference studies to use experimental measurements from relativistic heavy-ion collisions to constrain the nuclear matter equation of state.
Source: Physical Review C
Authors: Jiaxuan Gong, Hendrik Roch, Chun Shen
Institution: Wayne State University
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: Partnership to Advance Throughput Computing (PATh), CSSI: Frameworks: X-Ion Collisions with a Statistically and Computationally Advanced Program Envelope (X-SCAPE), S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP), G5437456336, G626730335, G7045693781, QUANTITATIVE CHARACTERIZATION OF EMERGING QUARK-GLUON PLASMA PROPERTIES WITH DYNAMICAL FLUCTUATIONS AND SMALL SYSTEMS
(EARLY CAREER RESEARCH PROGRAM)
OpenAlex ID: W4409922584