论文标题

在最终状态下搜索非共振的希格斯玻色子对生产,两个底部夸克和两个tau leptons在proton-proton碰撞中,$ \ sqrt {s} $ = 13 tev

Search for nonresonant Higgs boson pair production in final state with two bottom quarks and two tau leptons in proton-proton collisions at $\sqrt{s}$ = 13 TeV

论文作者

CMS Collaboration

论文摘要

搜索最终状态下有两个底部夸克和两个tau leptons的最终状态中,通过Gluon-Gluon和Vector Boson融合过程搜索了Higgs Boson对(HH)的非共振产生。该搜索在$ \ sqrt {s} $ = 13 tev的质子质子碰撞中使用质子 - 质子碰撞的数据,该数据与LHC的CMS检测器记录了13 tev,对应于138 fb $^{ - 1} $的集成光度。考虑到至少一个Tau Lepton衰减的事件被考虑,并使用多个机器学习技术来识别和提取信号。发现数据在不确定性内与标准模型(SM)预测保持一致。 HH生产横截面的上限设置为限制异常Higgs玻色子耦合的参数空间。在95%置信度下观察到的(预期的)上限对应于包含HH横截面的SM预测的3.3(5.2)倍,以及124(154)乘以矢量玻色子融合HH横截面的SM预测。在95%的置信度下,Higgs场的自耦合被限制在SM期望的-1.7和8.7倍之内,并且两个Higgs玻色子与两个向量玻色子的耦合被限制在-0.4和2.6倍以内,并且是SM的2.6倍。

A search for the nonresonant production of Higgs boson pairs (HH) via gluon-gluon and vector boson fusion processes in final states with two bottom quarks and two tau leptons is presented. The search uses data from proton-proton collisions at a center-of-mass energy of $\sqrt{s}$ = 13 TeV recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 138 fb$^{-1}$. Events in which at least one tau lepton decays hadronically are considered and multiple machine learning techniques are used to identify and extract the signal. The data are found to be consistent, within uncertainties, with the standard model (SM) predictions. Upper limits on the HH production cross section are set to constrain the parameter space for anomalous Higgs boson couplings. The observed (expected) upper limit at 95% confidence level corresponds to 3.3 (5.2) times the SM prediction for the inclusive HH cross section and to 124 (154) times the SM prediction for the vector boson fusion HH cross section. At 95% confidence level, the Higgs field self-coupling is constrained to be within -1.7 and 8.7 times the SM expectation, and the coupling of two Higgs bosons to two vector bosons is constrained to be within -0.4 and 2.6 times the SM expectation.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源