4 papers
Physics-Informed Neural Network for Solving the Heavy Quark Diffusion in the Expanding QCD Medium
Wenhua Fan, Jiamin Liu, Huansang Yang +1
We employ Physics-Informed Neural Networks (PINNs) to investigate the dynamical evolution of heavy quarks within the expanding hot QCD medium generated in relativistic heavy-ion co…
Medium-induced modification of azimuthal correlations of electrons from heavy-flavor hadron decays with charged particles in Pb-Pb collisions at TeV
ALICE Collaboration
The azimuthal-correlation distributions between electrons from the decays of heavy-flavor hadrons and associated charged particles in Pb-Pb collisions at …
Measurement of the inclusive isolated-photon production cross section in pp and PbPb collisions at TeV
ALICE Collaboration
The ALICE Collaboration at the CERN LHC has measured the inclusive production cross section of isolated photons at midrapidity as a function of the photon transverse momentum ($p_{…
Measurement of the inclusive isolated-photon production cross section in pp collisions at = 13 TeV
ALICE Collaboration
The production cross section of inclusive isolated photons has been measured by the ALICE experiment at the CERN LHC in pp collisions at centre-of-momentum energy of …