Lattice QCD estimates of thermal photon production from the QGP
Open Access
- 27 September 2024
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review D
- Vol. 110 (5) , 054518
Abstract
Thermal photons produced in heavy-ion collision experiments are an important observable for understanding quark-gluon plasma (QGP). The thermal photon rate from the QGP at a given temperature can be calculated from the spectral function of the vector current correlator. Extraction of the spectral function from the lattice correlator is known to be an ill-conditioned problem, as there is no unique solution for a spectral function for a given lattice correlator with statistical errors. The vector current correlator, on the other hand, receives a large ultraviolet contribution from the vacuum, which makes the extraction of the thermal photon rate difficult from this channel. We therefore consider the difference between the transverse and longitudinal part of the spectral function, only capturing the thermal contribution to the current correlator, simplifying the reconstruction significantly. The lattice correlator is calculated for light quarks in quenched QCD at (), as well as in flavor QCD at () with . In order to quantify the nonperturbative effects, the lattice correlator is compared with the corresponding estimate of correlator. The reconstruction of the spectral function is performed in several different frameworks, ranging from physics-informed models of the spectral function to more general models in the Backus-Gilbert method and Gaussian process regression. We find that the resulting photon rates agree within errors.
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Funding Information
- Deutsche Forschungsgemeinschaft (315477589-TRR 211)
- Gauss Centre for Supercomputing
- Jülich Supercomputing Centre, Forschungszentrum Jülich
- U.S. Department of Energy (DE-FG02-00ER41132)
- Agence Nationale de la Recherche (ANR-22-CE31-0018)
- National Science and Technology Development Agency (111-2112-M-A49-018-MY2)
- State of Hesse (500/10.006)
- John von Neumann Institute for Computing
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