A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression
Abstract
We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium DGLAP evolution at high virtuality, and (linearized) Boltzmann Transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high charged hadrons, D-mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient . To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.
Keywords
Cite
@article{arxiv.2307.09641,
title = {A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression},
author = {W. Fan and G. Vujanovic and S. A. Bass and A. Angerami and R. Arora and S. Cao and Y. Chen and T. Dai and L. Du and R. Ehlers and H. Elfner and R. J. Fries and C. Gale and Y. He and M. Heffernan and U. Heinz and B. V. Jacak and P. M. Jacobs and S. Jeon and Y. Ji and L. Kasper and M. Kordell and A. Kumar and J. Latessa and Y. -J. Lee and R. Lemmon and D. Liyanage and A. Lopez and M. Luzum and A. Majumder and S. Mak and A. Mankolli and C. Martin and H. Mehryar and T. Mengel and J. Mulligan and C. Nattrass and J. Norman and J. -F. Paquet and C. Parker and J. H. Putschke and G. Roland and B. Schenke and L. Schwiebert and A. Sengupta and C. Shen and C. Sirimanna and D. Soeder and R. A. Soltz and I. Soudi and M. Strickland and Y. Tachibana and J. Velkovska and X. -N. Wang and W. Zhao},
journal= {arXiv preprint arXiv:2307.09641},
year = {2023}
}
Comments
24 pages, 16 figures