Copertina

Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ehlers, R., Angerami, A., Arora, R., Bass, S. A., Cao, S., Chen, Y., Du, L., Elfner, H., Fan, W., Fries, R. J., Gale, C., He, Y., Heinz, U., Jacak, B. V., Jacobs, P. M., Jeon, S., Ji, Y., Kasper, L., Kordell II, M., Kumar, A., Kunnawalkam-Elayavalli, R., Latessa, J., Lee, S., Lee, Y. -J., Liyanage, D., Luzum, M., Mak, S., Majumder, A., Mankolli, A., Martin, C., Mehryar, H., Mengel, T., Mulligan, J., Nattrass, C., Paquet, J. -F., Parker, C., Putschke, J. H., Roch, H., Roland, G., Schenke, B., Schwiebert, L., Sengupta, A., Shen, C., Sirimanna, C., Soeder, D., Soltz, R. A., Soudi, I., Strickland, M., Tachibana, Y., Velkovska, J., Vujanovic, G., Wang, X. -N., Zhao, W.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

_version_	1866909066073210880
author	Ehlers, R. Angerami, A. Arora, R. Bass, S. A. Cao, S. Chen, Y. Du, L. Elfner, H. Fan, W. Fries, R. J. Gale, C. He, Y. Heinz, U. Jacak, B. V. Jacobs, P. M. Jeon, S. Ji, Y. Kasper, L. Kordell II, M. Kumar, A. Kunnawalkam-Elayavalli, R. Latessa, J. Lee, S. Lee, Y. -J. Liyanage, D. Luzum, M. Mak, S. Majumder, A. Mankolli, A. Martin, C. Mehryar, H. Mengel, T. Mulligan, J. Nattrass, C. Paquet, J. -F. Parker, C. Putschke, J. H. Roch, H. Roland, G. Schenke, B. Schwiebert, L. Sengupta, A. Shen, C. Sirimanna, C. Soeder, D. Soltz, R. A. Soudi, I. Strickland, M. Tachibana, Y. Velkovska, J. Vujanovic, G. Wang, X. -N. Zhao, W.
author_facet	Ehlers, R. Angerami, A. Arora, R. Bass, S. A. Cao, S. Chen, Y. Du, L. Elfner, H. Fan, W. Fries, R. J. Gale, C. He, Y. Heinz, U. Jacak, B. V. Jacobs, P. M. Jeon, S. Ji, Y. Kasper, L. Kordell II, M. Kumar, A. Kunnawalkam-Elayavalli, R. Latessa, J. Lee, S. Lee, Y. -J. Liyanage, D. Luzum, M. Mak, S. Majumder, A. Mankolli, A. Martin, C. Mehryar, H. Mengel, T. Mulligan, J. Nattrass, C. Paquet, J. -F. Parker, C. Putschke, J. H. Roch, H. Roland, G. Schenke, B. Schwiebert, L. Sengupta, A. Shen, C. Sirimanna, C. Soeder, D. Soltz, R. A. Soudi, I. Strickland, M. Tachibana, Y. Velkovska, J. Vujanovic, G. Wang, X. -N. Zhao, W.
contents	The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter $\hat{q}$ using Bayesian inference, incorporating all available hadron and jet inclusive yield and jet substructure data from RHIC and the LHC. The theoretical model utilizes virtuality-dependent in-medium partonic energy loss coupled to a detailed dynamical model of QGP evolution. Tension is observed when constraining $\hat{q}$ for different kinematic cuts of the inclusive hadron data. The addition of substructure data is shown to improve the constraint on $\hat{q}$, without inducing tension with the constraint due to inclusive observables. These studies provide new insight into the mechanisms of jet interactions in matter, and point to next steps in the field for comprehensive understanding of jet quenching as a probe of the QGP.
format	Preprint
id	arxiv_https___arxiv_org_abs_2401_04201
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE Ehlers, R. Angerami, A. Arora, R. Bass, S. A. Cao, S. Chen, Y. Du, L. Elfner, H. Fan, W. Fries, R. J. Gale, C. He, Y. Heinz, U. Jacak, B. V. Jacobs, P. M. Jeon, S. Ji, Y. Kasper, L. Kordell II, M. Kumar, A. Kunnawalkam-Elayavalli, R. Latessa, J. Lee, S. Lee, Y. -J. Liyanage, D. Luzum, M. Mak, S. Majumder, A. Mankolli, A. Martin, C. Mehryar, H. Mengel, T. Mulligan, J. Nattrass, C. Paquet, J. -F. Parker, C. Putschke, J. H. Roch, H. Roland, G. Schenke, B. Schwiebert, L. Sengupta, A. Shen, C. Sirimanna, C. Soeder, D. Soltz, R. A. Soudi, I. Strickland, M. Tachibana, Y. Velkovska, J. Vujanovic, G. Wang, X. -N. Zhao, W. High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter $\hat{q}$ using Bayesian inference, incorporating all available hadron and jet inclusive yield and jet substructure data from RHIC and the LHC. The theoretical model utilizes virtuality-dependent in-medium partonic energy loss coupled to a detailed dynamical model of QGP evolution. Tension is observed when constraining $\hat{q}$ for different kinematic cuts of the inclusive hadron data. The addition of substructure data is shown to improve the constraint on $\hat{q}$, without inducing tension with the constraint due to inclusive observables. These studies provide new insight into the mechanisms of jet interactions in matter, and point to next steps in the field for comprehensive understanding of jet quenching as a probe of the QGP.
title	Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE
topic	High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory
url	https://arxiv.org/abs/2401.04201