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arXiv 2408.12922hep-phhep-ex
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MSHT PDF框架内系统不确定性的研究

A study of systematic uncertainties within the MSHT PDF Framework

Matthew Reader

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6 Pages , 7 Figures
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AI总结：

本文研究MSHT PDF框架内的系统不确定性，提出将“误差上的误差”纳入$χ^2$计算的方法，并应用于ATLAS W,Z数据和7 TeV喷注分布数据集分析。

摘要：

实验误差现在已经极其精确，通常由系统不确定性主导。因此，从这些数据中提取的Parton Distribution Functions中的误差也将由这些实验系统误差以及理论计算中嵌入的系统误差主导。然而，众所周知，这些系统误差中通常存在显著的不确定性，因此为了精确确定Parton Distribution Functions中的误差，我们需要仔细考虑误差本身的不确定性。在本文中，我们讨论了一种将这些“误差上的误差”纳入$χ^2$计算的方法，并研究了这种模型的行为及其对所得误差的启示。我们还考察了两个数据集，ATLAS W,Z Data [arXiv:1612.03016]和ATLAS 7 TeV Inclusive Jet Distribution Data [arXiv:1410.8857]，并研究了该模型所暗示的关于这两个数据集的信息。

英文摘要：

Experimental errors are now incredibly precise, and are often dominated by the systematic uncertainties. Therefore the errors obtained in the Parton Distribution Functions that are extracted from this data will also be dominated by these experimental systematic errors, as well as the systematic errors embedded in the theoretical calculations. However, as is well known, there are often significant uncertainties in these systematic errors, and so to determine precisely the errors in the Parton Distribution Functions, we need to be thoughtful about the uncertainties in the errors themselves. In this paper, we discuss an approach where these "errors on errors" can be incorporated into a $χ^2$ calculation, and investigate how such a model behaves and what it tells us about the resulting errors. Also we look at two data sets, ATLAS W,Z Data [arXiv:1612.03016] and the ATLAS 7 TeV Inclusive Jet Distribution Data [arXiv:1410.8857] and investigate the information that this model implies about these two data sets.

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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