852 citations · 2.3k across the 12 of their papers we have counts for
11 papers
Neural network enhanced Bayesian global analysis of relativistic heavy ion collisions
Jussi Auvinen, Kari J. Eskola, Henry Hirvonen +1
We introduce a novel deep convolutional neural network (NN) -enhanced Bayesian global analysis of bulk observables in highest-energy heavy-ion collisions, using relativistic 2+1 D…
Pinning down QCD-matter shear viscosity in A+A collisions via EbyE fluctuations using pQCD + saturation + hydrodynamics
H. Niemi, K. J. Eskola, R. Paatelainen +1
We compute the initial energy densities produced in ultrarelativistic heavy-ion collisions from NLO perturbative QCD using a saturation conjecture to control soft particle producti…
Next-to-leading order improved perturbative QCD + saturation + hydrodynamics model for A+A collisions
R. Paatelainen, K. J. Eskola, H. Holopainen +2
We calculate initial conditions for the hydrodynamical evolution in ultrarelativistic heavy-ion collisions at the LHC and RHIC in an improved next-to-leading order perturbative QCD…
Fluid dynamics with saturated minijet initial conditions in ultrarelativistic heavy-ion collisions
R. Paatelainen, K. J. Eskola, H. Niemi +1
Using next-to-leading order perturbative QCD and a conjecture of saturation to suppress the production of low-energy partons, we calculate the initial energy densities and formatio…
Initial state anisotropies in ultrarelativistic heavy-ion collisions from the Monte Carlo Glauber model
M. Alvioli, H. Holopainen, K. J. Eskola +1
In hydrodynamicalmodeling of heavy-ion collisions the initial state spatial anisotropies translate into momentum anisotropies of the final state particle distributions. Thus, under…
Initial state anisotropies and their uncertainties in ultrarelativistic heavy-ion collisions from the Monte Carlo Glauber model
M. Alvioli, H. Holopainen, K. J. Eskola +1
In hydrodynamical modeling of heavy-ion collisions, the initial-state spatial anisotropies are translated into momentum anisotropies of the final-state particle distributions. Thus…