论文标题

机器学习增强的搜索矢量式单线$ b $

Machine learning-enhanced search for a vectorlike singlet $B$ quark decaying to a singlet scalar or pseudoscalar

论文作者

Bardhan, Jai, Mandal, Tanumoy, Mitra, Subhadip, Neeraj, Cyrin

论文摘要

新的衰减模式的存在放宽了当前的质量排除限制,极大地对矢量夸克。我们考虑了一个弱矢量vectorlike $ b $ quark的情况,该Quark可能会腐烂到单线标量或伪凯尔斯卡尔$φ$。在较早的论文中[A。 Bhardwaj等人,探索矢量夸克的路线图腐烂到新的标量或伪凯尔,物理学。 Rev. D,106(2022)095014; ARXIV:2203.13753],我们绘制了在LHC探索此类设置的可能性。我们表明,$ b $ quark可能会衰减到$φ$,而$φ$主要腐烂到一对胶子或$ b $ quark(s),而无需微调参数。在本文中,我们提出了一种对撞机搜索策略,以寻找Singlet $ b $ Quarks的配对生产。如果两个$ b $ quarks腐烂成$bφ$ pairs,则最终状态是完全耐达的:$ b {b} \ to(bφ)({b}φ)\ to(bgg)({b} gg)/(bb {bb})因此,我们认为具有清单$ b $ case的更简单的混合衰减,即$ bb \ to(bφ)(tw)$,在最终状态下,就可以在最终的状态下获得最佳的灵敏度。我们使用具有加权交叉渗透损失的深神经网络将信号与巨大的SM背景区分开。我们的分析表明,可以通过此签名发现$ M_ {B}-M_φ$参数空间的大面积。我们在新衰减模式下展示了如何以分支比率的发现和排除区域的规模。我们还通过相同的网络模型估算了包容性的Monolepton通道中的覆盖范围。

The presence of a new decay mode relaxes the current mass exclusion limits on vectorlike quarks considerably. We consider the case of a weak-singlet vectorlike $B$ quark that can decay to a singlet scalar or pseudoscalar $Φ$. In an earlier paper [A. Bhardwaj et al., Roadmap to explore vectorlike quarks decaying to a new scalar or pseudoscalar, Phys. Rev. D, 106 (2022) 095014; arXiv:2203.13753], we mapped the possibilities to explore such setups at the LHC. We showed that it is possible for a $B$ quark to decay into $Φ$ and the $Φ$ to dominantly decay to a pair of gluons or $b$ quark(s) without fine-tuning the parameters. In this paper, we present a collider search strategy to look for the pair production of singlet $B$ quarks. If both $B$ quarks decay into $bΦ$ pairs, the final state is fully hadronic: $B{B}\to(bΦ)({b}Φ)\to (bgg)({b}gg)/(bb{b})({b}b{b})$, which is very challenging to probe. Therefore, we consider a simpler mixed decay specific to the singlet $B$ case, $BB\to(bΦ)(tW)$ with a lepton in the final state, to achieve the best sensitivity at the high-luminosity LHC. We use a deep neural network with a weighted cross-entropy loss to separate the signal from the huge SM background. Our analysis shows that large areas of the $M_{B}-M_Φ$ parameter space are discoverable through this signature. We show how the discovery and exclusion regions scale with the branching ratio in the new decay mode. We also estimate the reach in the inclusive monolepton channel with the same network model.

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