Implications of portal vector-like lepton on associated Higgs production at a multi-TeV muon collider
Krishna Tewary, Sanjoy Biswas, and Shivam Verma

TL;DR
This paper investigates how a portal vector-like lepton extension of the Standard Model affects Higgs production at a future muon collider, highlighting a potentially large enhancement in dark photon associated production as a probe of new physics.
Contribution
It introduces a novel analysis of dark photon associated Higgs production via portal vector-like leptons at a muon collider, emphasizing its potential to reveal new physics beyond the Standard Model.
Findings
The $h\,\gamma_d$ production rate can surpass $hZ$ by a factor of 1-100.
A $2\sigma$ exclusion limit for dark photon mass up to 80 GeV is achievable.
The process can constrain dark photon parameters consistent with muon $g-2$ measurements.
Abstract
We have explored a portal vector-like lepton (pVLL) extension of the Standard Model (SM) and studied its implications for Higgs and vector-boson associated production (, with -boson or dark photon) at a future muon collider facility. We show that while the production rate remains close to its SM prediction in a wide range of parameter space, the rate for can be substantially enhanced owing to the non-decoupling nature of the interaction involving the heavy lepton, the muon and the dark photon. We demonstrate that the production rate can exceed the corresponding rate by a factor of - within the perturbative unitarity limit, making it a promising channel for probing Higgs interactions and potential new physics effects. Furthermore, this process can also be used to constrain the dark photon mass…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Computational Physics and Python Applications · Dark Matter and Cosmic Phenomena
