2024
DOI: 10.1103/physrevc.110.034908
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Extraction of the microscopic properties of quasiparticles using deep neural networks

Olga Soloveva,
Andrea Palermo,
Elena Bratkovskaya

Abstract: We use deep neural networks (DNNs) to obtain the properties of partons in terms of an off-shell quasiparticle description. We aim to infer masses and widths of quasigluons, up/down, and strange (anti)quarks using constraints on the macroscopic thermodynamic observables obtained by the first-principles lattice QCD (lQCD) calculations. In this study we use three independent dimensionless thermodynamic observables from lQCD for minimization as the ratio of entropy density to temperature s/T3, baryon susceptibilit… Show more

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