Muon $g-2$ and $W$-mass in a framework of colored scalars: an LHC perspective
Nabarun Chakrabarty, Indrani Chakraborty, Dilip Kumar Ghosh, Gourab, Saha

TL;DR
This paper explores an extended Type-X Two-Higgs doublet model with a color octet isodoublet, demonstrating its ability to simultaneously explain the W-boson mass and muon g-2 anomalies, and proposing collider signatures for detection.
Contribution
It introduces a novel model combining a color octet isodoublet with Type-X 2HDM, showing it can account for recent anomalies and suggesting experimental collider signatures.
Findings
The model can simultaneously explain W-mass and muon g-2 anomalies.
Colored scalars relax the parameter space constraints of the pure Type-X 2HDM.
A collider signature with tau+ tau- b b final state is proposed for LHC detection.
Abstract
A color octet isodoublet can have esoteric origins and it complies with minimal flavour violation. In this study, we take a scenario where the well known Type-X Two-Higgs doublet model is augmented with a color octet isodoublet. We shed light on how such a setup can predict the recently observed value for the -boson mass. We also evaluate the two-loop Barr-Zee contributions to muon stemming from the colored scalars. The parameter space compatible with the observed muon gets relaxed w.r.t. what it is in the pure Type-X 2HDM by virtue of the contribution from the colored scalars. The extended parameter region therefore successfully accounts for both the -mass and muon anomalies successfully. Finally, a collider signature leading to final state is explored at the 14 TeV LHC using both cut-based and multivariate techniques. Such a signal can…
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 · High-Energy Particle Collisions Research
