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

C. Park , A. Angerami , S. A. Bass , S. Cao , J. Coleman , L. Cunqueiro , T. Dai , L. Du

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H. Elfner D. Everett W. Fan R. Fries C. Gale Y. He U. Heinz B. V. Jacak P. M. Jacobs S. Jeon K. Kauder W. Ke E. Khalaj M. Kordell II A. Kumar T. Luo A. Majumder M. McNelis C. Nattrass D. Oliinychenko D. Pablos L. G. Pang J.-F. Paquet J. H. Putschke G. Roland B. Schenke L. Schwiebert C. Shen C. Sirimanna R. A. Soltz Y. Tachibana G. Vujanovic X. -N. Wang R. L. Wolpert Y. Xu Z. Yang (JETSCAPE Collaboration)

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classification ⚛️ nucl-th hep-phnucl-ex

keywords jetscapeapproachescorrelationsdifferentenergyeventevolutionframework

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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 innovative framework makes it possible to perform a comprehensive study of multi-stage high-energy jet evolution in the Quark-Gluon Plasma. In this work, we illustrate the performance of the event generator for different algorithmic approaches to jet energy loss, and reproduce the measurements of several jet and hadron observables as well as correlations between the hard and soft sector. We also carry out direct comparisons between different approaches to energy loss to study their sensitivity to those observables.

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

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