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arXiv 2407.08012hep-ex
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利用$\boldsymbol{\bigstar}$=13 TeV的LHC质子-质子碰撞数据测量通过矢量玻色子融合或胶子融合产生的、以$\boldsymbol{H \to b\bar{b}}$模式衰变的增广希格斯玻色子

Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H $\to$ $\mathrm{b\bar{b}}$ decay mode using LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV

CMS Collaboration

AI总结:

本研究利用LHC的CMS探测器138 fb$^{-1}$的13 TeV质子-质子碰撞数据,通过机器学习辅助的喷注分析,同时测量了矢量玻色子融合和胶子融合产生的高横动量H→b̄b希格斯玻色子的信号强度,并给出微分截面结果。

摘要:

本研究对质子-质子碰撞中通过矢量玻色子融合或胶子融合产生的高横动量($p_\text{T}$)希格斯玻色子进行了测量。测量结果基于2016-2018年在大型强子对撞机(LHC)上用CMS探测器收集的质心系能量为13 TeV的数据集,对应积分亮度为138 fb$^{-1}$。研究利用大半径喷注,并采用基于机器学习技术的喷注子结构算法和重味味标算法,筛选出高$p_\text{T}$希格斯玻色子衰变为增广底夸克-反底夸克对的信号。基于两个具有大赝快度间隔的夸克引发喷注的拓扑结构,定义了分别针对矢量玻色子融合和胶子融合机制的独立区域。通过对大半径喷注质量分布的数据进行最大似然拟合,同时提取了两种过程的信号强度。观测到的相对于标准模型预期的信号强度,矢量玻色子融合机制为$4.9^{+1.9}_{-1.6}$,胶子融合机制为$1.6^{+1.7}_{-1.5}$。此外,还在简化模板截面框架下报告了微分截面测量结果。

英文摘要:

A measurement is performed of Higgs bosons produced with high transverse momentum ($p_\mathrm{T}$) via vector boson or gluon fusion in proton-proton collisions. The result is based on a data set with a center-of-mass energy of 13 TeV collected in 2016-2018 with the CMS detector at the LHC and corresponds to an integrated luminosity of 138 fb$^{-1}$. The decay of a high-$p_\mathrm{T}$ Higgs boson to a boosted bottom quark-antiquark pair is selected using large-radius jets and employing jet substructure and heavy-flavor taggers based on machine learning techniques. Independent regions targeting the vector boson and gluon fusion mechanisms are defined based on the topology of two quark-initiated jets with large pseudorapidity separation. The signal strengths for both processes are extracted simultaneously by performing a maximum likelihood fit to data in the large-radius jet mass distribution. The observed signal strengths relative to the standard model expectation are 4.9 $^{+1.9}_{-1.6}$ and 1.6 $^{+1.7}_{-1.5}$ for the vector boson and gluon fusion mechanisms, respectively. A differential cross section measurement is also reported in the simplified template cross section framework.

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