An overview of the CUJET model: Jet Flavor Tomography applied at RHIC and LHC

TL;DR

This paper reviews the CUJET Monte Carlo model for jet flavor tomography, which predicts jet quenching patterns and nuclear modification factors at RHIC and LHC, revealing novel features and the impact of running coupling effects.

Contribution

It introduces and applies the CUJET model to predict jet flavor and centrality dependence of R_AA, highlighting new features like level crossing patterns and the effects of running coupling on jet energy loss.

Findings

Predicted a level crossing pattern in R_AA for different jet flavors.

Showed that running coupling effects lead to a non-trivial constant jet energy loss behavior.

Demonstrated the model's ability to discriminate between different jet-medium interaction models.

Abstract

Jet Flavor Tomography is a powerful tool used to probe the properties of Quark Gluon Plasma formed in heavy ion collisions at RHIC and LHC. A new Monte Carlo model of jet quenching developed at Columbia University, CUJET, was applied to predict the jet flavor and centrality dependence of the nuclear modification factor $R_{AA}$. The predictions for fragments $f=\pi,D,B,e$, derived from quenched jet flavors $a=g,u,c,b$ in central and peripheral collisions at RHIC and LHC, exhibit novel features such as a level crossing pattern in $R_{AA\rightarrow a\rightarrow f}$ over a broad transverse momentum range which can test jet-medium dynamics in quark gluon plasmas and help discriminate between current energy loss models. Furthermore, the inclusion of running coupling effects seems to change the jet energy dependence of the jet energy loss to a non trivial constant behavior, with a visible impact on the predictions for $R_{AA}$.