论文标题
LHC的TTBB最终州的Higgs Boson和新的标量共振生产搜索的前景
Prospects for Higgs boson and new scalar resonant production searches in ttbb final state at the LHC
论文作者
论文摘要
在本文中，我们将标准模型Higgs玻色子的产生与质子 - 质子碰撞中的新型重量标签共鸣相关的产生在质量中心能量$ \ sqrt {s} = 13 $ tev中。希格斯玻色子和新的标量共振剂分别腐烂成一对底部夸克和一对顶夸克。考虑到顶级夸克的半衰减。在运行II数据摄入期间，使用Monte Carlo生成的事件，现实的检测器响应仿真和可用的开放数据样本，将搜索投影到大型强子对撞机的操作条件下，在13 TEV的质量中心能量中进行操作条件。总结了分析策略，并提出了使用深神经网络的机器学习方法来解决喷气机分配中的模棱两可并改善信号事件的运动学重建。 CMS检测器的灵敏度估计为生产横截面乘积和搜索过程的分支部分的预期上限95％。
In this article we probe resonant associated production of a Standard Model Higgs boson with new heavy scalar resonant in proton-proton collisions at a center-of-mass energy $\sqrt{s} = 13$ TeV. The Higgs boson and new scalar resonant are required to decay into a pair of bottom quarks and a pair of top quarks, respectively. Semileptonic decay of top quarks is considered. The searches are projected into operation conditions of the Large Hadron Collider during Run II data taking period at a center-of-mass energy of 13 TeV using Monte Carlo generated events, realistic detector response simulation and available Open Data samples. Analysis strategies are summarized and machine learning approach using Deep Neural Network is proposed to resolve ambiguous in jets assignment and improve kinematic reconstruction of signal events. Sensitivity of the CMS detector is estimated as 95% expected upper limits on the product of the production cross section and the branching fractions of the searched process.
