Higgs-like particle decays into $\gamma Z$ and $\gamma\gamma$ : Fingerprints of some non-supersymmetric models
R.Benbrik, M. Boukidi, M. Ouchemhou, L. Rahili, and O. Tibssirte

TL;DR
This paper investigates how non-supersymmetric beyond Standard Model theories can explain the observed excess in Higgs-like particle decays into gamma Z and gamma gamma channels at the LHC, analyzing implications and constraints.
Contribution
It explores the potential of 2HDMs, IDM, and HTM to account for the gamma Z and gamma gamma excess, considering current experimental and theoretical constraints.
Findings
The excess can be explained by BSM models depending on charged Higgs masses.
Phenomenological implications of these models are discussed.
Prospects for future precision studies are outlined.
Abstract
Recently, ATLAS and CMS experiments at the LHC put on light the relevant results in the measurement precision of the Higgs and BSM. In such a report, where the resonance direct search was made in the channel, a mass adjustment distribution for the reconstructed boson and photon was established. Thus, simultaneously with the signal-from-background separation, the number of events has been perfectly described, and an excess signal approximately twice that expected by the Standard Model (SM) has been noticed, which is equivalent to a significance of 2.2 standard deviations. In this study, we examine how any possible new physics models can explain this excess, such as the CP-conserving Two-Higgs doublet model (2HDMs), the Inert doublet model (IDM), and the Higgs triplet model (HTM). While considering the available theoretical and most recent experimental constraints, the…
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
