# Multistage Monte-Carlo simulation of jet modification in a static medium

**Authors:** JETSCAPE Collaboration: Shanshan Cao, Chanwook Park, R. Alex Barbieri,, Steffen A. Bass, Dennis Bazow, Jonah Bernhard, Jacob Coleman, Rainer Fries,, Charles Gale, Yayun He, Ulrich Heinz, Barbara V. Jacak, Peter M. Jacobs,, Sangyong Jeon, Michael Kordell II, Amit Kumar, Tan Luo, Abhijit Majumder,, Younes Nejahi, Daniel Pablos, Long-Gang Pang, Joern H. Putschke, Gunther, Roland, Steven Rose, Bj\"orn Schenke, Loren Schwiebert, Chun Shen,, Chathuranga Sirimanna, Ron A. Soltz, Dragos Velicanu, Gojko Vujanovic,, Xin-Nian Wang, Robert L. Wolpert

arXiv: 1705.00050 · 2017-08-30

## TL;DR

This paper introduces a multistage Monte Carlo simulation framework for jet modification in a static medium, combining different models to capture the full evolution of jets over various scales, and compares their effects on jet quenching observables.

## Contribution

It develops a novel multistage modeling approach where jets transition between different Monte Carlo generators, enhancing the simulation of jet evolution across multiple epochs.

## Key findings

- Sequential generator transitions affect jet observables.
- Varying generator boundaries impacts jet quenching results.
- Proposed criterion improves modeling consistency.

## Abstract

The modification of hard jets in an extended static medium held at a fixed temperature is studied using three different Monte-Carlo event generators (LBT, MATTER, MARTINI). Each event generator contains a different set of assumptions regarding the energy and virtuality of the partons within a jet versus the energy scale of the medium, and hence, applies to a different epoch in the space-time history of the jet evolution. For the first time, modeling is developed where a jet may sequentially transition from one generator to the next, on a parton-by-parton level, providing a detailed simulation of the space-time evolution of medium modified jets over a much broader dynamic range than has been attempted previously in a single calculation. Comparisons are carried out for different observables sensitive to jet quenching, including the parton fragmentation function and the azimuthal distribution of jet energy around the jet axis. The effect of varying the boundary between different generators is studied and a theoretically motivated criterion for the location of this boundary is proposed. The importance of such an approach with coupled generators to the modeling of jet quenching is discussed.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1705.00050/full.md

## References

58 references — full list in the complete paper: https://tomesphere.com/paper/1705.00050/full.md

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Source: https://tomesphere.com/paper/1705.00050