Thermal properties of the scalar glueballs from holography
Ruixiang Chen, Danning Li, Mei Huang

TL;DR
This paper uses a holographic QCD model combined with machine learning to analyze scalar glueballs' thermal properties across temperatures, revealing behaviors consistent with lattice simulations and providing insights into their spectral functions and quasi-normal modes.
Contribution
It introduces a systematic holographic framework with machine learning to study scalar glueballs' thermal properties from zero to finite temperature, including spectral functions and quasi-normal modes.
Findings
Pole masses remain near vacuum values at low T and decrease as T approaches T_c.
Pole masses increase above T_c, aligning with recent lattice results.
Thermal widths increase monotonically with temperature.
Abstract
Based on a machine learning holographic QCD model, we construct a systematical framework to investigate the properties of the scalar glueballs continuously from zero temperature to finite temperature. By using both the quasi-normal frequencies and the spectral functions, we extract the pole masses, thermal widths, screening masses and dispersion relation of the scalar glueballs in hot medium. It is shown that the pole masses almost remain the vacuum values at temperatures far below the critical temperature , and then decrease with the increasing of temperature until a temperature lower than . This result qualitatively agrees with earlier lattice simulations. While the pole masses increase monotonically above the critical temperature , which agrees with recent lattice calculation. Meanwhile, it is shown that the thermal widths increase monotonically with temperature,…
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