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
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
复制标题
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
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
The ATLAS Collaboration
中科院分区：
文献类型：
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作者：
The ATLAS Collaboration
