activity
20162024
most citedA data-driven analysis for the temperature and momentum dependence of the heavy quark diffusion coefficient in relativistic heavy-ion collisions

136 citations · 254 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

nucl-th2019

Longitudinal dependence of open heavy flavor in relativistic heavy-ion collisions

Caio A. G. Prado, Wen-Jing Xing, Shanshan Cao +2

Heavy flavor probes are sensitive to the properties of the quark gluon plasma (QGP) produced in relativistic heavy-ion collisions. A huge amount of effort has been devoted to study…

nucl-th2019

The JETSCAPE framework: p+p results

A. Kumar, Y. Tachibana, D. Pablos +43

The JETSCAPE framework is a modular and versatile Monte Carlo software package for the simulation of high energy nuclear collisions. In this work we present a new tune of JETSCAPE,…

nucl-th2019

Charmed hadron chemistry in relativistic heavy-ion collisions

Shanshan Cao, Kai-Jia Sun, Shu-Qing Li +4

We develop for charmed hadron production in relativistic heavy-ion collisions a comprehensive coalescence model that includes an extensive set of and -wave hadronic states a…

hep-ph2019

Flavor hierarchy of jet quenching in relativistic heavy-ion collisions

Wen-Jing Xing, Shanshan Cao, Guang-You Qin +1

Relativistic heavy-ion experiments have observed similar quenching effects for (prompt) mesons compared to charged hadrons for transverse momenta larger than 6-8~GeV, which rem…

nucl-th201919 cited

The JETSCAPE framework

J. H. Putschke, K. Kauder, E. Khalaj +42

The JETSCAPE simulation framework is an overarching computational envelope for developing complete event generators for heavy-ion collisions. It allows for modular incorporation of…

nucl-th20192 cited

Multi-stage jet evolution through QGP using the JETSCAPE framework: inclusive jets, correlations and leading hadrons

C. Park, A. Angerami, S. A. Bass +41

The JETSCAPE Collaboration has recently announced the first release of the JETSCAPE package that provides a modular, flexible, and extensible Monte Carlo event generator. This inno…