New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
Elliptic and triangular flow in event-by-event (3+1)D viscous hydrodynamics
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abstract
We present results for the elliptic and triangular flow coefficients in Au+Au collisions at root-s=200 AGeV using event-by-event (3+1)D viscous hydrodynamic simulations. We study the effect of initial state fluctuations and finite viscosities on the flow coefficients v_2 and v_3 as functions of transverse momentum and pseudo-rapidity. Fluctuations are essential to reproduce the measured centrality dependence of elliptic flow. We argue that simultaneous measurements of v_2 and v_3 can determine eta/s more precisely.
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Extension of KoMPoST to (3+1)D non-boost-invariant pre-equilibrium dynamics via kinetic theory response functions, chained into a full McDIPPER+KoMPoST-3D+CLVisc+SMASH simulation chain to study sensitivity of longitudinal flow to hydrodynamic start time.
Deep learning extracts a unified in-medium heavy quark potential from multi-energy bottomonium data, finding the real part close to vacuum Cornell form with weak screening while the imaginary part dominates suppression.
Global analysis of HERA DIS and ALICE Pb+Pb data using saturation initial-state model determines early-time non-equilibrium η/s of QGP.
Species-resolved scaling functions for azimuthal anisotropy from iEBE-VISHNU simulations of Pb+Pb collisions collapse robustly across kinematics and species, enabling constraints on attenuation, collective expansion, and hadronic re-scattering via an energy-dependent baseline.
citing papers explorer
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Deriving a parton shower for jet thermalization in QCD plasmas
New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
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(3+1)D event-by-event pre-equilibrium dynamics in heavy-ion collisions
Extension of KoMPoST to (3+1)D non-boost-invariant pre-equilibrium dynamics via kinetic theory response functions, chained into a full McDIPPER+KoMPoST-3D+CLVisc+SMASH simulation chain to study sensitivity of longitudinal flow to hydrodynamic start time.
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Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning
Deep learning extracts a unified in-medium heavy quark potential from multi-energy bottomonium data, finding the real part close to vacuum Cornell form with weak screening while the imaginary part dominates suppression.
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Constraining hot and cold nuclear matter properties from heavy-ion collisions and deep-inelastic scattering
Global analysis of HERA DIS and ALICE Pb+Pb data using saturation initial-state model determines early-time non-equilibrium η/s of QGP.
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Species-Resolved Scaling of Azimuthal Anisotropy: Constraining Attenuation, Collective Expansion, and Hadronic Dynamics in Hydrodynamic Simulations
Species-resolved scaling functions for azimuthal anisotropy from iEBE-VISHNU simulations of Pb+Pb collisions collapse robustly across kinematics and species, enabling constraints on attenuation, collective expansion, and hadronic re-scattering via an energy-dependent baseline.