Stochastic superspace phenomenology at the Large Hadron Collider

TL;DR

This paper investigates how LHC data constrains stochastic superspace models, identifying a viable parameter space consistent with collider, dark matter, and rare decay constraints, with implications for supersymmetry phenomenology.

Contribution

It provides the first detailed analysis of stochastic superspace parameter constraints using recent LHC data and dark matter bounds.

Findings

Allowed stochastic parameter range: -2200 GeV < ξ < -900 GeV

Viable cutoff scale around 10^{18} GeV

Consistent with sparticle mass and dark matter constraints

Abstract

We analyse restrictions on the stochastic superspace parameter space arising from 1 fb$^{-1}$ of LHC data, and bounds on sparticle masses, cold dark matter relic density and the branching ratio of the process $B_s \rightarrow \mu^+ \mu^-$. A region of parameter space consistent with these limits is found where the stochasticity parameter, \xi, takes values in the range -2200 GeV < \xi < -900 GeV, provided the cutoff scale is $\mathcal{O}(10^{18})$ GeV.