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arXiv 2403.02809hep-ex
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利用ATLAS探测器在$\u221as = 13$ TeV的$pp$对撞中测量电弱$Wγjj$产生的基准截面和微分截面

Fiducial and differential cross-section measurements of electroweak $Wγjj$ production in $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

ATLAS Collaboration

AI总结:

本研究利用ATLAS探测器140 fb$^{-1}$的13 TeV质子对撞数据,通过多变量技术首次以超6倍标准差显著度观测到电弱$Wγjj$产生过程,测量了其基准与微分截面并与标准模型预言符合,结果可用于约束有效场论下的新物理效应。

摘要:

本文报道了利用大型强子对撞机在质心系能量$\u221as=13$ TeV下的$pp$对撞数据,观测到与两个喷注伴随产生的$W$玻色子和光子的电弱产生过程。数据由ATLAS实验在2015年至2018年间记录,对应的积分亮度为140 fb$^{-1}$。该过程通过矢量玻色子散射机制对四次规范玻色子耦合敏感,为标准模型的电弱部分提供了严格检验。事件筛选条件为包含一个电子或μ子、缺失横动量、至少一个光子以及两个喷注。研究采用多变量技术区分电弱$Wγjj$过程与不可约本底过程。观测到的电弱$Wγjj$过程的显著度远高于6个标准差,而预期显著度为6.3个标准差。在接近探测器接收度的基准相空间中测量了基准截面和微分截面,测量结果与$MadGraph5+Pythia8$和$Sherpa$给出的标准模型领头阶预测合理一致。这些结果被用于在有效场论框架下约束新物理效应。

英文摘要:

The observation of the electroweak production of a $W$ boson and a photon in association with two jets, using $pp$ collision data at the Large Hadron Collider at a centre of mass energy of $\sqrt{s}=13$ TeV, is reported. The data were recorded by the ATLAS experiment from 2015 to 2018 and correspond to an integrated luminosity of 140 fb$^{-1}$. This process is sensitive to the quartic gauge boson couplings via the vector boson scattering mechanism and provides a stringent test of the electroweak sector of the Standard Model. Events are selected if they contain one electron or muon, missing transverse momentum, at least one photon, and two jets. Multivariate techniques are used to distinguish the electroweak $Wγjj$ process from irreducible background processes. The observed significance of the electroweak $Wγjj$ process is well above six standard deviations, compared to an expected significance of 6.3 standard deviations. Fiducial and differential cross sections are measured in a fiducial phase space close to the detector acceptance, which are in reasonable agreement with leading order Standard Model predictions from $MadGraph5+Pythia8$ and $Sherpa$. The results are used to constrain new physics effects in the context of an effective field theory.

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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