9 citations · 10 across the 6 of their papers we have counts for
6 papers
3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions
Andi Mankolli, Aaron Angerami, Ritu Arora +48
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental…
Bayesian calibration of viscous anisotropic hydrodynamic (VAH) simulations of heavy-ion collisions
Ulrich Heinz, Dananjaya Liyanage, Cullen Gantenberg
A Bayesian calibration, using experimental data from 2.76 TeV Pb-Pb collisions at the LHC, of a novel hybrid model is presented in which the usual pre-hydrodynamic and viscous…
Taweret: a Python package for Bayesian model mixing
Kevin Ingles, Dananjaya Liyanage, Alexandra C. Semposki +1
Uncertainty quantification using Bayesian methods is a growing area of research. Bayesian model mixing (BMM) is a recent development which combines the predictions from multiple mo…
A multistage framework for studying the evolution of jets and high- probes in small collision systems
Abhijit Majumder, Aaron Angerami, Ritu Arora +48
Understanding the modification of jets and high- probes in small systems requires the integration of soft and hard physics. We present recent developments in extending the JET…
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Dananjaya Liyanage, Özge Sürer, Matthew Plumlee +2
Due to large pressure gradients at early times, standard hydrodynamic model simulations of relativistic heavy-ion collisions do not become reliable until \,fm/ after the c…
Pre-hydrodynamic evolution and its impact on quark-gluon plasma signatures
Dananjaya Liyanage, Derek Everett, Chandrodoy Chattopadhyay +1
State-of-the-art hydrodynamic models of heavy-ion collisions have considerable theoretical model uncertainties in the description of the very early pre-hydrodynamic stage. We add a…