In the seesaw-extended NMSSM, a ~96 GeV scalar can reproduce both the LEP bbbar and CMS diphoton excesses while the sneutrino dark matter passes all current constraints, in three parameter regions.
Sneutrino DM in the NMSSM with inverse seesaw mechanism
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
In supersymmetric theories like the Next-to-Minimal Supersymmetric Standard Model (NMSSM), the lightest neutralino with bino or singlino as its dominant component is customarily taken as dark matter (DM) candidate. Since light Higgsinos favored by naturalness can strength the couplings of the DM and thus enhance the DM-nucleon scattering rate, the tension between naturalness and DM direct detection results becomes more and more acute with the improved experimental sensitivity. In this work, we extend the NMSSM by inverse seesaw mechanism to generate neutrino mass, and show that in certain parameter space the lightest sneutrino may act as a viable DM candidate, i.e. it can annihilate by multi-channels to get correct relic density and meanwhile satisfy all experimental constraints. The most striking feature of the extension is that the DM-nucleon scattering rate can be naturally below its current experimental bounds regardless of the higgsino mass, and hence it alleviates the tension between naturalness and DM experiments. Other interesting features include that the Higgs phenomenology becomes much richer than that of the original NMSSM due to the relaxed constraints from DM physics and also due to the presence of extra neutrinos, and that the signatures of sparticles at colliders are quite different from those with neutralino as DM candidate.
fields
hep-ph 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
The 96 GeV Diphoton Excess in the Seesaw Extensions of the Natural NMSSM
In the seesaw-extended NMSSM, a ~96 GeV scalar can reproduce both the LEP bbbar and CMS diphoton excesses while the sneutrino dark matter passes all current constraints, in three parameter regions.