351 citations · 3.6k across the 76 of their papers we have counts for
7 papers · 1 filter
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,…
Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
Yi-Lun Du, Kai Zhou, Jan Steinheimer +5
Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion colli…
Local spin polarization in high energy heavy ion collisions
Hong-Zhong Wu, Long-Gang Pang, Xu-Guang Huang +1
We revisit the azimuthal angle dependence of the local spin polarization of hyperons in heavy-ion collisions at 200 GeV in the framework of the (3+1)D viscous hydrodynamic model CL…
A machine learning study to identify spinodal clumping in high energy nuclear collisions
Jan Steinheimer, LongGang Pang, Kai Zhou +3
The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are in…
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…
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…