A Gaussian Process Generative Model for QCD Equation of State

Autor:	Gong, Jiaxuan, Roch, Hendrik, Shen, Chun
Rok vydání:	2024
Předmět:	Nuclear Theory High Energy Physics - Phenomenology
Druh dokumentu:	Working Paper
Popis:	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 QCD 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 cross-over equations of state with different speeds of sound that do not rely on specific parameterizations. 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. Comment: 12 pages, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.22160 Zobrazit plný text záznamu View this record from Arxiv