1 citations · 1 across the 4 of their papers we have counts for
4 papers
Acausality-driven instabilities in transient relativistic viscous hydrodynamics
Lorenzo Gavassino, Henry Hirvonen, Jean-François Paquet +2
We investigate non-linear instabilities stemming from superluminal propagation of information in Israel-Stewart-like models of relativistic viscous fluid dynamics. In relativity, t…
Effects of saturation and fluctuating hotspots for flow observables in ultrarelativistic heavy-ion collisions
Henry Hirvonen, Mikko Kuha, Jussi Auvinen +3
We investigate the effects of saturation dynamics on midrapidity flow observables by adding fluctuating hotspots into the novel Monte Carlo EKRT (MC-EKRT) event generator for high-…
MC-EKRT: Monte Carlo event generator with saturated minijet production for initializing 3+1 D fluid dynamics in high energy nuclear collisions
Mikko Kuha, Jussi Auvinen, Kari J. Eskola +3
We present a novel Monte-Carlo implementation of the EKRT model, MC-EKRT, for computing partonic initial states in high-energy nuclear collisions. Our new MC-EKRT event generator i…
Deep learning for flow observables in high energy heavy-ion collisions
H. Hirvonen, K. J. Eskola, H. Niemi
We demonstrate how deep convolutional neural networks can be trained to predict 2+1 D hydrodynamic simulation results for flow coefficients, mean-transverse-momentum and charged pa…