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8 papers · 2 filters
Transport-based initial conditions for heavy-ion collisions at finite densities
H. Roch, G. Pihan, A. Monnai +53
We employ the SMASH transport model to provide event-by-event initial conditions for the energy-momentum tensor and conserved charge currents in hydrodynamic simulations of relativ…
Learning Informed Prior Distributions with Normalizing Flows for Bayesian Analysis
Hendrik Roch, Chun Shen
We investigate the use of normalizing flow (NF) models as flexible priors in Bayesian inference via Markov Chain Monte Carlo (MCMC) sampling for iterative Bayesian calibration. Tra…
Mode-by-mode evolution of Pb-Pb collisions at 5.02 TeV in a hybrid model
Renata Krupczak, Nicolas Borghini, Hendrik Roch
We determine the average state and the uncorrelated modes that characterize the event-by-event fluctuations of the initial state in two typical centrality classes of Pb-Pb collisio…
Fast prediction of the hydrodynamic QGP evolution in ultra-relativistic heavy-ion collisions using Fourier Neural Operators
David Stewart, Joern Putschke
Recent research in machine learning has employed neural networks to learn mappings between function spaces on bounded domains termed ``neural operators''. As such, these operators…
Strangeness production in collisions at TeV using various model approaches
J. Singh, M. U. Ashraf, A. M. Khan +1
We present the predictions of various observables for strange (, ()) and multi-strange hadrons ((), , and ($\o…
Bayesian Model Selection and Uncertainty Propagation for Beam Energy Scan Heavy-Ion Collisions
Syed Afrid Jahan, Hendrik Roch, Chun Shen
We apply the Bayesian model selection method (based on the Bayes factor) to optimize -dependence in the phenomenological parameters of the (3+1)-dimensional h…