Signature of a light charged Higgs boson from top quark pairs at the LHC
YaLu Hu, ChunHao Fu, Jun Gao

TL;DR
This paper investigates the potential signature of a light charged Higgs boson produced in top quark pairs at the LHC, reinterpreting existing data to set new constraints on its properties within type-I two-Higgs-Doublet models.
Contribution
It provides the first direct LHC search limits on the branching ratio of a three-body decay involving a light charged Higgs boson, improving constraints on related models.
Findings
Established new upper limits on the decay branching ratio involving a light charged Higgs.
Reinterpreted ATLAS data to find better agreement with the light charged Higgs hypothesis.
Set the strongest direct constraints on the parameter space of certain two-Higgs-Doublet models.
Abstract
The charged Higgs boson is a smoking gun of extensions of the standard model with multiple Higgs-doublets, and has been searched for at various collider experiments. In this paper, we study signature of a light charged Higgs boson produced by top quark pairs at the LHC, with subsequent three-body decays into a W boson and a pair of bottom quarks. Cross sections on final states of two W bosons plus four bottom quarks have been measured by the ATLAS collaboration at the LHC 13 TeV. We reinterpret the experimental data under the scenario of a light charged Higgs boson, and find improved agreements. We obtain the first limit from LHC direct searches on the total branching ratio of the three-body decay, , and the strongest direct constraints on the parameter space of a class of type-I two-Higgs-Doublet models.
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 · Distributed and Parallel Computing Systems · Computational Physics and Python Applications
