论文标题
同时从JET和$ t {\ bar t} $数据的PDF和SMEFT参数的同时提取CTEQ-TEA提取
Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and $t{\bar t}$ data
论文作者
论文摘要
根据SM有效田间理论（SMEFT），重铸现象学的Lagrangians提供了一种有价值的手段，可以将潜在的BSM物理学连接到远高于Electroweak量表与较低能量处的实验性特征。在这项工作中，我们将SMEFT操作员的Wilson系数以及PDFS共同符合CT18全球分析框架的扩展，从而获得了对可能的BSM物理效应的自洽约束。全局拟合以神经网络形式的机器学习技术增强，以确保对完整PDF+SMEFT参数空间的有效扫描。我们专注于在强子山子上与Top-Quark对和JET生产有关的几个操作员，并通过Lagrange乘数扫描获得对Wilson系数的约束。我们发现提取的Wilson系数，PDF和其他QCD参数之间的温和相关性，并看到根据较高精度的数据，这些相关性在将来的分析中可能变得更加突出。这项工作是基于CTEQ-TEA框架的SM和BSM物理学联合分析的新平台。
Recasting phenomenological Lagrangians in terms of SM effective field theory (SMEFT) provides a valuable means of connecting potential BSM physics at momenta well above the electroweak scale to experimental signatures at lower energies. In this work we jointly fit the Wilson coefficients of SMEFT operators as well as the PDFs in an extension of the CT18 global analysis framework, obtaining self-consistent constraints to possible BSM physics effects. Global fits are boosted with machine-learning techniques in the form of neural networks to ensure efficient scans of the full PDF+SMEFT parameter space. We focus on several operators relevant for top-quark pair and jet production at hadron colliders and obtain constraints on the Wilson coefficients with Lagrange Multiplier scans. We find mild correlations between the extracted Wilson coefficients, PDFs, and other QCD parameters, and see indications that these correlations may become more prominent in future analyses based on data of higher precision. This work serves as a new platform for joint analyses of SM and BSM physics based on the CTEQ-TEA framework.
