A physics-informed neural network produces a thermodynamically consistent 4D equation of state for QCD matter that reproduces lattice QCD and hadron resonance gas results while extrapolating to high baryon density for use in hybrid hydrokinetic models.
On the Quasiparticle Description of Lattice QCD Thermodynamics
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abstract
We propose a novel quasiparticle interpretation of the equation of state of deconfined QCD at finite temperature. Using appropriate thermal masses, we introduce a phenomenological parametrization of the onset of confinement in the vicinity of the predicted phase transition. Lattice results of the energy density, the pressure and the interaction measure of pure SU(3) gauge theory are excellently reproduced. We find a relationship between the thermal energy density of the Yang-Mills vacuum and the chromomagnetic condensate <B^2>_T. Finally, an extension to QCD with dynamical quarks is discussed. Good agreement with lattice data for 2, 2+1 and 3 flavour QCD is obtained. We also present the QCD equation of state for realistic quark masses.
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Equation of State at High Baryon Densities from a Thermodynamically Informed Neural Network
A physics-informed neural network produces a thermodynamically consistent 4D equation of state for QCD matter that reproduces lattice QCD and hadron resonance gas results while extrapolating to high baryon density for use in hybrid hydrokinetic models.