LHC Run-3, $b-\tau$ Yukawa Unification and Dark Matter Implications in SUSY 4-2-2 model
Waqas Ahmed, Mohamed Belfkir, Salah Nasri, Shabbar Raza, Umer, Zubair

TL;DR
This paper investigates various dark matter co-annihilation scenarios within the SUSY 4-2-2 model, demonstrating their consistency with Yukawa unification, experimental constraints, and potential detectability at LHC Run-3.
Contribution
It presents the first detailed analysis of sbottom-neutralino co-annihilation in this model and explores multiple other co-annihilation and resonance scenarios consistent with experimental data.
Findings
Sbottom-neutralino co-annihilation with sbottom mass around 2 TeV.
Gluino-neutralino and stop-neutralino masses between 1-3.5 TeV.
Stau and chargino masses up to 3.5 TeV, A-resonance solutions up to 3.5 TeV.
Abstract
We revisit the bottom and Yukawa coupling unification in supersymmetric -- model and present for the first time the sbottom-neutralino co-annihilation scenario consistent with the bottom and Yukawa coupling unification. In addition, we show gluino-neutralino, stop-neutralino, stau-neutralino, chargino-neutralino, and A-resonance scenario and show that all such solutions are consistent with existing experimental collider constraints, Planck2018 dark matter relic density bounds as well as direct and indirect bounds on neutralino-nucleons scattering cross sections. We show that in sbottom-neutralino co-annihilation scenario, the sbottom mass is about 2 TeV whereas in the case of gluino-neutralino, stop-neutralino, the gluino mass can be between 1 TeV to 3 TeV and stop mass in the range of 1 TeV to 3.5 TeV. {Moreover, in the case of co-annihilation scenario, the stau…
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
