arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2110.02599hep-exhep-ph
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在LHC上对数据进行建模

Modelling the Data at the LHC

Efe Yazgan

摘要:

强子对撞机的测量依赖于大尺度量子色动力学(QCD)蒙特卡罗(MC)产生的数据解释。MC模拟允许测试标准模型(SM)与更准确和精确的计算,以了解微扰QCD以及电弱效应,和外推的不可约背景信号相空间区域的新的物理搜索或罕见的SM过程的测量。在MC代码中,有许多片段、近似值、参数和设置要与数据进行比较并进行调整。LHC精确的实验测量要求理论计算的精度达到类似水平。在LHC上由ATLAS和CMS实验测量的截面覆盖了超过14个数量级。到目前为止,SM截面的预测被发现是在非常好的协议与数据。这些横截面测量在不同的pp碰撞能量和预测相比,下一个到下一个到领先的顺序(NNLO)的许多过程,最近到N $^3$ LO的一些。在本说明中,讨论了与数据建模有关的一些测量方法。

英文摘要:

Measurements at hadron colliders rely on large scale quantum chromodynamics (QCD) Monte Carlo (MC) production for interpretation of the data. MC simulations allow testing Standard Model (SM) with more accurate and precise calculations to understand perturbative QCD as well as electroweak effects, and extrapolations of the irreducible backgrounds to signal phase-space regions for new physics searches or for the measurements of rare SM processes. In the MC codes, there are many pieces, approximations, and parameters and settings to compare to the data and tune. Precise experimental measurements at the LHC require similar level of precision in theoretical calculations. Cross sections measured at the LHC both by ATLAS and CMS experiments cover more than 14 orders of magnitude. So far, SM cross section predictions are found to be in very good agreement with the data. These cross sections are measured at different pp collision energies and compared to prediction up to next-to-next-to-leading order (NNLO) for many processes, and recently up to N$^3$LO for some of them. In this note, a few measurements relevant to data modelling are discussed.

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