636 citations · 7.6k across the 160 of their papers we have counts for
161 papers
MC-EKRT: Monte Carlo event generator with saturated minijet production for initializing 3+1 D fluid dynamics in high energy nuclear collisions
Harri Niemi, Jussi Auvinen, Kari J. Eskola +3
We present a novel saturation and leading order collinear factorization based Monte-Carlo implementation of the EKRT model for computing QCD matter initial states in high-energy nu…
Dijet photoproduction and transverse-plane geometry in ultra-peripheral nucleus-nucleus collisions
Kari J. Eskola, Vadim Guzey, Ilkka Helenius +2
We present new NLO pQCD predictions for the inclusive photoproduction of dijets in ultra-peripheral (UPC) lead-lead collisions at 5.02 TeV with a realistic impact-parameter depende…
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…
Collision geometry in UPC dijet production
Kari J. Eskola, Vadim Guzey, Ilkka Helenius +2
We present a comprehensive NLO pQCD study on inclusive dijet photoproduction in ultraperipheral nucleus-nucleus collisions (UPCs). Our analysis takes into account the finite size o…
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…