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arXiv 2610.13633hep-phhep-exnucl-exnucl-th
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nCTEQ26 核部分子分布函数

nCTEQ26 nuclear parton distribution functions

University of Münster(明斯特大学);Institute of Nuclear Physics, Polish Academy of Sciences(波兰科学院核物理研究所);Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS/IN2P3(格勒诺布尔阿尔卑斯大学、法国国家科学研究中心/法国国家粒子物理研究所亚原子与宇宙学实验室);Fermi National Accelerator Laboratory(费米国家加速器实验室);Southern Methodist University(南方卫理公会大学);Theory Center, Jefferson Lab(杰斐逊实验室理论中心)

nCTEQ Collaboration, K. Greve, T. Ježo, A. Kusina, J. Wissmann, M. Klasen, K. Kovařík, C. Léger, J. G. Morfín, F. I. Olness, P. Risse, I. Schienbein, J. Y. Yu

AI总结:

nCTEQ合作组发布新版核部分子分布函数nCTEQ26,结合多类实验数据,采用新参数化方案与数据驱动方法,经Hessian误差分析验证,可用于相关实验预测。

摘要:

我们发布nCTEQ合作组的核部分子分布函数(nPDFs)新版本:nCTEQ26。在这项全局分析中,我们结合了近期对不同实验测量的更具选择性的研究,并将其扩展以确定一套现代nPDFs,基于迄今为止考虑的最大规模数据选择。该数据选择包括中性流和带电流深度非弹性散射(DIS)、固定靶Drell-Yan,以及来自RHIC和LHC Run I、Run II的大量对撞机数据。理论方面,我们将这一显著扩展的运动学范围与新的nPDF参数化方案匹配,该方案结合了灵活的x依赖函数形式、二次对数核A依赖,以及靶质量和氘核修正,以可靠地包含高x DIS数据。继我们之前的成功工作后,我们部分采用了数据驱动方法,这不仅使我们能够包含开放重夸克数据,还能包含夸克偶素数据。此外,我们通过将该方法与仅基于开放重夸克数据的微扰预测的替代拟合进行比较,验证了该方法的一致性。我们通过Hessian误差分析确定nCTEQ26 nPDFs的不确定性,通过将我们的nPDFs与其他近期类似分析进行比较测试其可靠性,并对分析中未包含的当前和未来实验测量做出预测。

英文摘要:

We present the new release of nuclear parton distribution functions (nPDFs) from the nCTEQ collaboration: nCTEQ26. In this global analysis, we combine our recent, more selective studies of different experimental measurements and extend them to determine a modern set of nPDFs based on the largest selection of data considered to date. This selection includes neutral- and charged-current deep-inelastic scattering (DIS), fixed-target Drell-Yan, and a large variety of collider data from RHIC and LHC Runs I and II. On the theoretical side, we match this considerably extended kinematic range with a new nPDF parametrization that combines a flexible functional form of the x-dependence with a quadratic logarithmic nuclear A-dependence as well as target-mass and deuteron corrections for the reliable inclusion of high-x DIS data. Following our previous successful work, we partially employ a data-driven approach that allows us to not only include open heavy-quark data, but also quarkonium data. In addition, we establish the consistency of this approach by comparing it to an alternative fit based on perturbative predictions of open heavy-quark data alone. We determine the uncertainties of our nCTEQ26 nPDFs with a Hessian error analysis, test their reliability by comparing our nPDFs to other, similar recent analyses, and make predictions for current and future experimental measurements that have not been included in the analysis.

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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