30 September 2018 to 5 October 2018
Aix-Les-Bains, Savoie, France
Europe/Zurich timezone
PROCEEDINGS OPEN UNTIL DECEMBER 15th 2018

Jet-induced medium responce and γ-jet fragmentation function

2 Oct 2018, 15:20
20m
Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Congress Center Student Lectures Day: September 30 at CERN
2a) Jets and high-pT hadrons (TALK) Parallel 1

Speaker

WEI CHEN (CCNU)

Description

We use the state of art CoLBT-hydro to investigate the importance of jet-induced medium excitation in calculating γ-jet fragmentation function. CoLBT-hydro model is Linear Boltzmann Transport model cocurrently coupled with 3+1D hydrodynamic model in real time. It is designed for simultaneous event-by-event simulations of jet propagation and hydrodynamics evolution of the bulk medium including jet-induced medium excitation. In this model, the lost energy-momentum of energetic partons propagating through the medium is considered as a source term in the hydrodynamic, which will induce medium excitation. We carry out the first study with CoLBT-hydro of medium modification of γ-jet fragmentation function in heavy-ion collisions at both RHIC and LHC. CoLBT-hydro describes well the suppression of leading hadrons due to parton energy loss and predicts an enhancement of soft hadrons due to jet-induced medium excitation. Similarly, the calculation of medium modification of γ-jet fragmentation function indicates the enhancement of soft hadrons and the suppression of the leading hadrons inside the jet cone. There are two unique features of jet-induced medium excitation: the onset of soft hadron enhancement at a constant p^h_T and depletion of soft hadrons in the γ direction. We will also discuss the hadron flavor dependence of the soft hadron enhancement due to jet-induced medium excitaiton.strong text

Primary authors

WEI CHEN (CCNU) Xin-Nian Wang (Central China Normal University (China)) / Lawrence Berkeley Na) Tan Luo (Central China Normal University) LongGang Pang (Lawrence Berkeley National Laboratory) Shanshan Cao (Wayne State University)

Presentation materials