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arXiv 2402.02528hep-ph
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在$\u221as = 13.6$ TeV下使用领头阶事件生成器对LHC上$Z$玻色子质量和$p_T$谱的描述

Description of $Z$ Boson Mass and $p_T$ Spectrum at LHC Using Leading-Order Event Generators at $\sqrt{s} = 13.6$ TeV

Dharmender, Bibhuti Parida

AI总结:

在LHC 13.6 TeV下,比较三种领头阶事件生成器对Z玻色子加单喷注运动学分布的描述,发现Pythia8与Sherpa2的横动量谱最吻合。

摘要:

本文报告了在大型强子对撞机(LHC)上$\u221as = 13.6$ TeV的质子-质子($pp$)碰撞中,使用领头阶(LO)事件生成器对$Z$玻色子运动学分布的研究,研究对象为$Z$+ 1-喷注事件。我们探索了三种LO事件生成器,即Pythia8、Herwig7和Sherpa2,并实施了适当的Parton Shower(PS)和Matrix Element(ME)修正。$Z$玻色子由带相反电荷的双轻子对($\u03bc^+\u03bc^-$和$e^+e^-$)重建,关联的领头喷注使用anti-$k_T$算法重建,半径$r$=0.4。通过比较三种蒙特卡洛(MC)预测,我们广泛研究了双轻子不变质量$M_{\ell^+\ell^-}$和重建$Z$玻色子的横动量$p_{T}^Z$的分布。此外,我们还探索了与候选轻子和喷注相关的其他几种运动学分布,以深入区分LO事件生成器的建模差异。进一步地,我们探索了这些事件生成器内的各种showering模块用于$Z$ + 1-喷注产生。虽然这三种MC框架对$Z$ + 1-喷注运动学的重现相似,但在某些变量上识别出预测的差异。我们使用不同的统计检验分析了这些差异。$p_{T}^Z$谱的最佳匹配出现在Pythia8和Sherpa2的结果之间。

英文摘要:

In this paper, we report a study of $Z$ boson kinematic distributions in the $Z$+ 1-jet events from proton-proton ($pp$) collisions at $\sqrt{s}$ = 13.6 TeV at the Large Hadron Collider (LHC) using Leading-Order (LO) event generators. Three LO event generators, namely Pythia8, Herwig7 and Sherpa2, are explored with the implementation of appropriate Parton Shower (PS) and Matrix Element (ME) corrections. The $Z$ boson is reconstructed from oppositely charged di-lepton pairs ($μ^+μ^-$ and $e^+e^-$), and the associate leading jet is reconstructed with the anti-$k_T$ algorithm with radius $r$=0.4. The di-lepton invariant mass, $M_{\ell^+\ell^-}$, and the transverse momentum of the reconstructed $Z$ boson, $p_{T}^Z$, distributions are extensively studied by comparing three of the Monte Carlo (MC) predictions. In addition to this, we also explore several other kinematic distributions associated with the candidate lepton and the jet to distinguish the modelling of the LO event generators in depth. Furthermore, various showering modules within these event generators are explored for $Z$ + 1-jet production. While the three of these MC frameworks reproduce the $Z$ + 1-jet kinematics similarly, certain discrepancies in their predictions are identified in some variables. We analyzed them using different statistical tests. The best match of the $p_{T}^Z$ spectra was found between the Pythia8 and Sherpa2 results.

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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