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用于识别洛伦兹Boosted希格斯玻色子衰变为W玻色子对的粒子转换器

Particle transformers for identifying Lorentz-boosted Higgs bosons decaying to a pair of W bosons

EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH (CERN)（欧洲核子研究中心）

CMS Collaboration

备注：
Replaced with the published version. Added the journal reference and the DOI. All the figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/JME-25-001 (CMS Public Pages)
发表信息：
JHEP 10 (2026) 167
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AI总结：

本文提出了一种名为'粒子转换器'（PaRT）的深度神经网络分类器，用于识别在CMS实验中通过单个多重喷嘴重建的高洛伦兹Boosted共振体。PaRT通过自注意力机制实现，首次在喷嘴源自Boosted希格斯玻色子衰变至W玻色子对的拓扑结构中表现出强性能。

摘要：

本文介绍了一种新颖的深度神经网络分类器，称为'粒子转换器'（PaRT），用于识别在CMS合作组在CERN LHC上进行的测量和搜索中，以单个多重喷嘴重建的高洛伦兹Boosted共振体。基于允许模型权衡不同粒子重要性的自注意力机制，PaRT在多种拓扑结构上进行训练，特别是在首次展示对源自Boosted希格斯玻色子衰变为W玻色子对的喷嘴的强性能方面。PaRT算法在背景效率为1%时，对这类喷嘴的标记效率超过50%，同时保持与喷嘴质量的去相关性。在CMS收集的质子-质子碰撞数据中（中心对称能量为13 TeV），数据集对应总亮度为138 fb$^{-1}$。数据到模拟选择效率尺度因子测量为0.9-1.0范围，相对不确定度在7到23%之间。PaRT的标记能力增强了标准模型测量和搜索超出标准模型共振体衰变为强子双玻色子系统灵敏度。

英文摘要：

A novel deep neural network classifier, a ``Particle transformer'' (PaRT), is introduced for the identification of highly Lorentz-boosted resonances reconstructed as single, multipronged jets in measurements and searches performed by the CMS Collaboration at the CERN LHC. Based on a self-attention mechanism that allows the model to weigh the importance of different particles, PaRT is trained on a wide variety of topologies, notably demonstrating strong performance for the first time on jets originating from boosted Higgs boson decays to W bosons. The PaRT algorithm achieves a tagging efficiency of more than 50% for such jets at a background efficiency of 1%, while maintaining decorrelation from the jet mass. A calibration is performed in proton-proton collision data collected by CMS at a center-of-mass energy of 13 TeV, with a data set corresponding to a total luminosity of 138 fb$^{-1}$. Data-to-simulation selection efficiency scale factors are measured to be in the 0.9$-$1.0 range, with relative uncertainties between 7 and 23%. The tagging capability of PaRT enhances the sensitivity of standard model measurements and searches for beyond-the-standard-model resonances decaying to hadronic diboson systems.

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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