Identification of hadronically decaying W bosons and top quarks using multivariate techniques at ATLAS
Identification of hadronically decaying W bosons and top quarks using multivariate techniques at ATLAS
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DOI：
10.1088/1742-6596/1085/4/042012
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发表时间：
2018-09
期刊：
影响因子：
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通讯作者：
T. Nitta
中科院分区：
文献类型：
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作者：
T. Nitta
通过碰撞质子和检查碰撞产生的粒子，大型强子对撞机旨在以受控的实验方式研究夸克和胶子在最高能量下的相互作用。在这样的碰撞中，可以接近具有TeV尺度动量的W玻色子或顶夸克。重建这种助推喷气机变得越来越重要。特别是，识别衰变为夸克的原始粒子对正常QCD喷流的能力在高能尺度的各种搜索中起着核心作用。这通常通过使用由射流的成分构造的单个物理激励的可观察物来完成。在这方面的贡献，多个互补的可观测量相结合，使用提升决策树和神经网络，以提高区分的能力，W玻色子和顶夸克轻夸克喷流在ATLAS实验。
By colliding protons and examining particles emitted from the collisions, the Large Hadron Collider aims to study the interactions of quarks and gluons at the highest energy accessible in a controlled experimental way. In such collisions, W bosons or top quarks which have TeV scale momentum can be accessible. Reconstructing such boosted jets are becoming important. In particular, the ability to identify original particle that decays to quarks against normal QCD jets plays a central role in various searches at high energy scale. This is typically done by the use of a single physically motivated observable constructed from the constituents of the jet. In this contribution, multiple complementary observables are combined using boosted decision trees and neural networks to increase the ability to distinguish W bosons and top quarks from light quark jets in the ATLAS experiment.