使用k t和(z, k t)分解的包含喷气和双喷气产品与ZEUS协作数据

R. Kord Valeshabadi, M. Modarres, S. Rezaie, R. Aminzadeh Nik
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引用次数: 4

摘要

摘要本文研究了ZEUS协作数据在~ 300 GeV和319 GeV质能中心的包含射流和双射流产生的微分截面,分别使用不同的未积分和双未积分部分分布函数(即UPDFs和DUPDFs)进行kt和(z, kt)分解。KaTie事件生成器用于计算updf的微分截面,而对于输入dupdf,则通过计算相应的矩阵元素直接执行计算。我们使用Kimber-Martin-Ryskin (KMR)的updf和相应的dupdf以及领先顺序(LO)和次领先顺序(NLO) Martin-Ryskin-Watt (MRW)方法来检查选择不同实现的角约束或强顺序约束的效果。选择虚拟k2 = k2 t或k2 = k2 t(1−z)对ZEUS实验数据的微分截面预测的影响也进行了研究。可以观察到,正如人们所期望的那样,对于ZEUS协作数据的高虚拟Q2的预测,(z, kt)因子分解的应用优于kt因子分解框架,并且KMR和LO-MRW updf和DUPDFs的结果彼此相当接近,并且通常可以描述数据。我们还观察到,只有在kt分解的情况下,波恩水平的包含才会使我们的结果超过包含射流的实验数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inclusive jet and dijet productions usingk t and (z, k t )-factorizations versus ZEUS collaboration data
Abstract In this paper, we investigate the differential cross sections of the inclusive jet and dijet productions of the ZEUS collaboration data at the center of mass energies of ∼ 300 GeV and 319 GeV using the kt and (z, kt)-factorizations with the different unintegrated and double unintegrated parton distribution functions, i.e., UPDFs and DUPDFs, respectively. The KaTie event generator is used to calculate the differential cross section with the UPDFs, while for the input DUPDFs the calculations are directly performed by evaluating the corresponding matrix elements. We check the effect of choosing the different implementation of angular or strong ordering constraints using the UPDFs and the corresponding DUPDFs of Kimber-Martin-Ryskin (KMR) and the leading-order (LO) and next-to-leading-order (NLO) Martin-Ryskin-Watt (MRW) approaches. The impacts of choosing virtualities k2 = k2 t or k 2 = k2 t (1−z) in the differential cross section predictions for the ZEUS experimental data are also investigated. It is observed that, as one should expect, the applications of (z, kt)-factorization is better than the kt-factorization framework for the predictions of high virtuality Q2 with respect to the ZEUS collaboration data, and also the results of the KMR and LO-MRW UPDFs and DUPDFs are reasonably close to each other and in general can describe the data. It is also observed that only in the case of kt-factorization, the inclusion of Born level makes our results to overshoot the inclusive jet experimental data.
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