Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions
This study employs Bayesian inference to demonstrate that while jet quenching constraints across collision centrality are compatible, variations in beam energy and observable classes reveal distinct aspects of jet-medium interactions that limit predictive universality, motivating the use of leading-hadron-selected observables to bridge these gaps.