Bayesian inference of the magnetic field and chemical potential on holographic jet quenching in heavy-ion collisions

TL;DR

This paper uses Bayesian inference to analyze how magnetic fields and baryon chemical potential influence jet quenching in heavy-ion collisions, combining holographic models with experimental data to understand their effects.

Contribution

It introduces a holographic energy loss model incorporating magnetic field and chemical potential effects, calibrated with experimental data using Bayesian inference.

Findings

Strong negative correlation between magnetic field and chemical potential after calibration

Jet quenching sensitivity to magnetic field and baryon chemical potential

Agreement of theoretical model with experimental nuclear modification factors

Abstract

Jet quenching is studied in a background magnetic field and a finite baryon chemical potential. The production of energetic partons is calculated using the next-to-leading order (NLO) perturbative Quantum Chromodynamics (pQCD) parton model, while the parton energy loss formula is obtained from the AdS/CFT correspondence incorporating the magnetic field and baryon chemical potential effects. Using Bayesian inference, we systemically compare the theoretical calculations with experimental data for the nuclear modification factor $R_{AA}$ of the large transverse momentum hadrons in different-centrality nucleus-nucleus collisions at 0.2, 2.76 and 5.02 TeV, respectively. The form of the holographic energy loss leads to a strong negative correlation between the magnetic field and the chemical potential after the calibration, from which we discussed the sensitivity of jet quenching phenomena to magnetic field and baryon chemical potential.