Markov Chain Monte Carlo analysis to probe trilinear $R$-parity violating SUSY scenarios and possible LHC signatures

TL;DR

This paper uses Markov Chain Monte Carlo methods to analyze trilinear R-parity violating SUSY models, constraining parameters with experimental data and exploring potential LHC signatures.

Contribution

It introduces a comprehensive MCMC-based analysis to constrain RPV SUSY parameters using multiple observables and examines implications for LHC phenomenology.

Findings

Trilinear couplings $ ext{lambda}_{i33}$ and $ ext{lambda'}_{j33}$ are constrained to be below $10^{-4}$.

The parameter $ aneta$ is restricted to values below 15.

Potential LHC signatures are discussed around the best-fit parameter regions.

Abstract

In this article, we probe the trilinear $R$-parity violating (RPV) supersymmetric (SUSY) scenarios with specific nonzero interactions in the light of neutrino oscillation, Higgs, and flavor observables. We attempt to fit the set of observables using a state-of-the-art Markov Chain Monte Carlo (MCMC) setup and study its impact on the model parameter space. Our main objective is to constrain the trilinear couplings individually, along with some other SUSY parameters relevant to the observables. We present the constrained parameter regions in the form of marginalized posterior distributions on different two-dimensional parameter planes. We perform our analyses with two different scenarios characterized by our choices for the lightest SUSY particle (LSP), bino, and stop. Our results indicate that the lepton number violating trilinear couplings $\lambda_{i33}$ ($i$=1,2) and $\lambda_{j33}^{\prime}$ ($j$=1,2,3) can be at most of the order of $10^{-4}$ or even smaller while $\tan\beta$ is restricted to below 15 even when $3\sigma$ allowed regions are considered. We further comment on the possible LHC signatures of these LSPs focusing on and around the best-fit regions.