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15–19 Dec 2023
锦江南京饭店
Asia/Shanghai timezone

Long-lived Searches of Vector-like Lepton and Its Accompanying Scalar at Colliders

16 Dec 2023, 16:30
15m
水仙厅 腾讯会议 ID: 603 557 240 (锦江南京饭店)

水仙厅 腾讯会议 ID: 603 557 240

锦江南京饭店

Speaker

Yan Luo (Peking University)

Description

Recently, the vector-like leptons (VLLs) as a simple extension to the standard model (SM) have attracted widespread attention both in theory and experiments. The present collider searches mainly focus on the studies of their prompt decays, which prefer a relatively large coupling. In this paper, we concentrate on searches for long-lived signatures of the singlet VLLs $F$ or their accompanying scalar particles $\phi$ both in the hadronic and electronic colliders. The long-lived signatures are naturally induced from small chiral mass mixing between VLLs and SM leptons. Two specific models distinguished by whether the VLLs couple to scalar particles are introduced to realize the aforementioned features. For long-lived VLLs case, we find that with the kink track method the sensitivities at future HL-LHC with $\sqrt{s}=13~\text{TeV}$ can reach the regions for VLL mass $m_F \in [200,950]~\text{GeV}$ and the mass mixing parameter $\theta_L \in [10^{-10},10^{-7}]$. For the long-lived accompanying scalar particle case, by fixing VLLs or scalar mass, or the mass ratio between VLL and the accompanying scalar, we explore the projected sensitivities through the time delay and displaced vertex strategies, which can probe the regions for $m_F \in [200,1200]~\text{GeV}$ and coupling $y\theta_L\in [10^{-11},10^{-6}]$. Furthermore, we also explore the long-lived accompanying scalars at the future CEPC provided that the VLLs can couple to the SM first-generation leptons. We find that CEPC has good performances for $m_\phi < 70~\text{GeV}$ and $m_F<1000~\text{GeV}$. These long-lived searches are complementary to previous studies, which opens the door towards the smaller coupling regions.

Primary authors

Qing-Hong Cao (Peking University) 金辉 郭 (peking university) Jia Liu (Peking University) Yan Luo (Peking University) Xiaoping Wang (Beihang University)

Presentation materials