Identification of vector-boson hadronic decays using jet substructure techniques in Atlas

使用 Atlas 中的射流子结构技术识别矢量玻色子强子衰变

• 批准号: 1698519
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1698519
• 关键词: Identification; vector; boson; hadronic; decays

The project is about developing and improving techniques to distinguish between hadronic jets originated by decays of W and Z bosons to those from the most common quarks and gluons.It also involves measuring the production of vector bosons in the fully hadronic decay mode, and at large transverse momentum.

该项目旨在发展和改进技术，以区分W和Z玻色子衰变产生的强子喷注与最常见的夸克和胶子衰变产生的强子喷注，还涉及测量完全强子衰变模式下和大横动量下矢量玻色子的产生。

项目成果

Performance of Top Quark and W Boson Tagging in Run 2 with ATLAS

使用 ATLAS 运行 2 中顶夸克和 W 玻色子标记的性能

• 发表时间: 2017
• 作者: The ATLAS Collaboration

Search for light resonances decaying to boosted quark pairs and produced in association with a photon or a jet in proton-proton collisions at sv=13 TeV with the ATLAS detector

使用 ATLAS 探测器寻找衰减为增强夸克对的光共振，并在 sv=13 TeV 的质子-质子碰撞中与光子或射流相关产生

• 发表时间: 2018
• 作者: The ATLAS Collaboration

Identification of Hadronically-Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at sv = 13 TeV

使用高级特征作为 ATLAS 中 sv = 13 TeV 增强决策树和深度神经网络的输入来识别强子衰变 W 玻色子和顶夸克

• 发表时间: 2017
• 作者: The ATLAS Collaboration