Boosted jet techniques for a supersymmetric scenario with gravitino LSP

TL;DR

This paper explores advanced boosted jet techniques to detect compressed supersymmetry with gravitino dark matter at the 14 TeV LHC, focusing on fat-jet signatures from Higgs/Z decays and employing multivariate analysis for improved discovery potential.

Contribution

It introduces a detailed multivariate analysis using boosted decision trees to enhance detection of compressed supersymmetric signals with gravitino LSP at the LHC.

Findings

Most benchmarks are discoverable within 200 fb$^{-1}$ luminosity.

Kinematic observables can distinguish compressed from uncompressed spectra.

Boosted jet techniques improve signal detection in challenging scenarios.

Abstract

Search for compressed supersymmetry at multi-TeV scale, in the presence of a light gravitino dark matter, can get sizable uplift while looking into the associated fat-jets with missing transverse momenta as a signature of the boson produced in the decay process of much heavier next-to-lightest sparticle. We focus on the hadronic decay of the ensuing Higgs and/or $Z$ boson giving rise to at least two fat-jets and $\slashed{E}_T$ in the final state. We perform a detailed background study adopting a multivariate analysis using a boosted decision tree to provide a robust investigation to explore the discovery potential for such signal at 14 TeV LHC considering different benchmark points satisfying all the theoretical and experimental constraints. This channel provides the best discovery prospects with most of the benchmarks discoverable within an integrated luminosity of $\mathcal{L}=200$ fb$^{-1}$. Kinematic observables are investigated in order to distinguish between compressed and uncompressed spectra having similar event yields.