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arXiv 2307.09641hep-phnucl-exnucl-th
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一种改进多阶段方法贝叶斯校准的新度量,用于研究强子与单举喷注抑制

A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression

W. Fan, G. Vujanovic, S. A. Bass, A. Angerami, R. Arora, S. Cao, Y. Chen, T. Dai, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, M. Heffernan, U. Hei… 展开作者

W. Fan, G. Vujanovic, S. A. Bass, A. Angerami, R. Arora, S. Cao, Y. Chen, T. Dai, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, M. Heffernan, U. Heinz, B. V. Jacak, P. M. Jacobs, S. Jeon, Y. Ji, L. Kasper, M. Kordell, A. Kumar, J. Latessa, Y. -J. Lee, R. Lemmon, D. Liyanage, A. Lopez, M. Luzum, A. Majumder, S. Mak, A. Mankolli, C. Martin, H. Mehryar, T. Mengel, J. Mulligan, C. Nattrass, J. Norman, J. -F. Paquet, C. Parker, J. H. Putschke, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, C. Sirimanna, D. Soeder, R. A. Soltz, I. Soudi, M. Strickland, Y. Tachibana, J. Velkovska, X. -N. Wang, W. Zhao

AI总结:

本文提出一种新度量以改进贝叶斯校准,用于多阶段模型研究高横动量强子、D介子与单举喷注抑制,从而提取横动量展宽输运系数。

摘要:

我们在一个多阶段方法中研究部分子与夸克胶子等离子体(QGP)的能量-动量交换,该方法由高虚度下的介质中DGLAP演化与较低虚度下的(线性化)Boltzmann输运形式组成。随后,利用贝叶斯模型与数据对比,将该多阶段模拟与高$p_T$带电强子、D介子以及单举喷注核修正因子进行比较校准,以提取依赖虚度的横动量展宽输运系数$\hat{q}$。为促进这一工作,我们开发了一种用于验证贝叶斯工作流程的定量度量,并用它分析各模型参数对单个观测量的敏感性。结果表明,这一新度量在改进贝叶斯模型仿真方面非常有益,对未来此类分析具有重要价值。

英文摘要:

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 $p_T$ 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 $\hat{q}$. 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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