Bayesian Model Selection and Uncertainty Propagation for Beam Energy Scan Heavy-Ion Collisions

This dataset contains: A snapshot of the iEBE-MUSIC framework for performing the event-by-event simulations Training data listed in Table II and the trained GP emulators Posterior chains listed in Table V Simulation data for various model predictions presented in Section V In case there are problems opening pkl files with numpy 1.x, then try using numpy 2.x to open them. To use the emulators stored in "trained_emulators.tar.gz", please use the sqrt_s_dependence branch in the GPBayesTools-HIC repository. The emulator_BAND.py from this branch is compatible with the objects stored in the tar file.If you want to perform a Bayesian inference using the Chain class in mcmc.py, then the _predict() function has to be modified depending on the parameters that are energy dependent and the emulator set used in the inference.