351 citations · 881 across the 35 of their papers we have counts for
37 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…
Can high- theory and data constrain ?
Bithika Karmakar, Dusan Zigic, Igor Salom +4
Understanding the temperature dependence of the specific shear viscosity is crucial for characterizing the properties of the QCD matter produced in ultrarelativistic heavy-…
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…
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…
Probing the shape of the quark-gluon plasma droplet via event-by-event QGP tomography
Bithika Karmakar, Dusan Zigic, Pasi Huovinen +3
This study investigates Quark-Gluon Plasma (QGP) in heavy-ion collisions through two avenues: high- frameworks and hydrodynamic modeling. Using the TENTo mo…
Constraining through high-p theory and data
Bithika Karmakar, Dusan Zigic, Igor Salom +4
We study whether it is possible to use high- data/theory to constrain the temperature dependence of the shear viscosity over entropy density ratio of the matter form…
Importance of higher harmonics and puzzle in quark-gluon plasma tomography
Dusan Zigic, Jussi Auvinen, Igor Salom +2
QGP tomography aims to constrain the parameters characterizing the properties and evolution of Quark-Gluon Plasma (QGP) formed in heavy-ion collisions, by exploiting low and high-$…
Jet-temperature anisotropy revealed through high- data
Stefan Stojku, Jussi Auvinen, Lidija Zivkovic +2
We explore to what extent, and how, high- data and predictions reflect the shape and anisotropy of the QCD medium formed in ultrarelativistic heavy-ion collisions. To this…
DREENA-A framework as a QGP tomography tool
Dusan Zigic, Igor Salom, Jussi Auvinen +2
We present a fully optimised framework DREENA-A based on a state-of-the-art energy loss model. The framework can include any, in principle arbitrary, temperature profile within the…
From high theory and data to inferring anisotropy of Quark-Gluon Plasma
Magdalena Djordjevic, Stefan Stojku, Dusan Zigic +5
High theory and data are commonly used to study high parton interactions with QGP, while low data and corresponding models are employed to infer QGP b…
Dynamical energy loss formalism: from describing suppression patterns to implications for future experiments
Magdalena Djordjevic, Dusan Zigic, Bojana Blagojevic +3
Understanding properties of Quark-Gluon Plasma requires an unbiased comparison of experimental data with theoretical predictions. To that end, we developed the dynamical energy los…
Early evolution constrained by high- QGP tomography
Stefan Stojku, Jussi Auvinen, Marko Djordjevic +2
We show that high- and are sensitive to the early expansion dynamics, and that the high- observables prefer delayed onset of energy loss and transverse exp…
Temperature dependence of of strongly interacting matter: effects of the equation of state and the parametric form of
Jussi Auvinen, Kari J. Eskola, Pasi Huovinen +3
We investigate the temperature dependence of the shear viscosity to entropy density ratio using a piecewise linear parametrization. To determine the optimal values of the par…
Temperature dependence of : uncertainties from the equation of state
Jussi Auvinen, Kari J. Eskola, Pasi Huovinen +3
We perform a global model-to-data comparison on Au+Au collisions at GeV and Pb+Pb collisions at TeV and TeV, using a 2+1D hydrodynamics model with…
How to test path-length dependence in energy loss mechanisms: analysis leading to a new observable
Magdalena Djordjevic, Dusan Zigic, Marko Djordjevic +1
When traversing QCD medium, high partons lose energy, which is typically measured by suppression, and also predicted by various energy loss models. A crucial test of diff…
Joint and predictions for collisions at the LHC within DREENA-C framework
Dusan Zigic, Igor Salom, Jussi Auvinen +2
In this paper, we presented our recently developed DREENA-C framework, which is a fully optimized computational suppression procedure based on our state-of-the-art dynamical energy…
DREENA-B framework: first predictions of and within dynamical energy loss formalism in evolving QCD medium
Dusan Zigic, Igor Salom, Jussi Auvinen +2
Dynamical energy loss formalism allows generating state-of-the-art suppression predictions in finite size QCD medium, employing a sophisticated model of high- parton inter…
Investigating the collision energy dependence of /s in RHIC beam energy scan using Bayesian statistics
Jussi Auvinen, Iurii Karpenko, Jonah E. Bernhard +1
We determine the probability distributions of shear viscosity over the entropy density ratio in Au+Au collisions at , and GeV, using Bayesian i…
Revealing the collision energy dependence of in RHIC-BES Au+Au collisions using Bayesian statistics
Jussi Auvinen, Iurii Karpenko, Jonah E. Bernhard +1
We investigate the collision energy dependence of in a transport + viscous hydrodynamics hybrid model. A Bayesian analysis is performed on RHIC beam energy scan data for $Au+…
Systematic Extraction of QGP Properties
Jussi Auvinen, Jonah E. Bernhard, Steffen A. Bass
We investigate the collision energy dependence of shear viscosity over the entropy density ratio in Au+Au collisions at , and GeV, using Bayesi…
Multi-strange hadrons and the precision extraction of QGP properties in the RHIC-BES domain
Jussi Auvinen, Krzysztof Redlich, Steffen A. Bass
We systematically compare an event-by-event transport+viscous hydrodynamics hybrid model to data from the RHIC beam energy scan using a general Bayesian method. We demonstrate how…
Particle production and equilibrium properties within a new hadron transport approach for heavy-ion collisions
J. Weil, V. Steinberg, J. Staudenmaier +10
The microscopic description of heavy-ion reactions at low beam energies is achieved within hadronic transport approaches. In this article a new approach SMASH (Simulating Many Acce…
Heavy-flavor dynamics in relativistic p-Pb collisions at TeV
Yingru Xu, Shanshan Cao, Marlene Nahrgang +4
We investigate the heavy flavor dynamics in the quark-gluon plasma (QGP) medium created in p-Pb collisions at the CERN Large Hadron Collider (LHC). In the (3+1)-dimensional viscous…