Sensitivity of two-Higgs-doublet models on Higgs-pair production via bb¯bb¯ final state
Sensitivity of two-Higgs-doublet models on Higgs-pair production via bb¯bb¯ final state
复制标题
双希格斯双峰模型对通过 bb´bb´最终状态产生希格斯对的敏感性
DOI：
10.1103/physrevd.106.095015
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发表时间：
2022
影响因子：
5
通讯作者：
Hsu, Shih-Chieh
中科院分区：
文献类型：
--
作者：
Chung, Yi-Lun;Cheung, Kingman;Hsu, Shih-Chieh
希格斯玻色子对的产生是电弱对称性破缺扇区结构的著名探索。我们使用双希格斯双峰模型框架中的胶子融合过程来说明这一点，并展示机器学习方法（三流卷积神经网络）如何能够显着改善信号背景辨别力，从而提高相关参数空间的灵敏度覆盖范围。我们进一步表明，此类过程可以探测 HL-LHC 上的 higgs 信号和 higgs 边界当前允许的参数空间。给出了 2HDM I 型至 IV 型的结果。
Higgs boson pair production is a well-known probe of the structure of the electroweak symmetry breaking sector. We illustrate this using the gluon-fusion processesin the framework of two-Higgs-doublet models and show how a machine learning approach (three-stream convolutional neural network) can substantially improve the signal-background discrimination and thus improve the sensitivity coverage of the relevant parameter space. We further show that suchprocesses can probe the parameter space currently allowed byhiggssignalsandhiggsboundsat the HL-LHC. Results are presented for 2HDM types I through IV.