Extracting gluino endpoints with event topology patterns

TL;DR

This paper develops methods to accurately measure gluino mass edges at the LHC by introducing new kinematic variables and event selection techniques, effectively handling backgrounds and detector effects.

Contribution

It proposes novel kinematic variables and event selection strategies to disentangle and measure gluino decay edges amidst complex backgrounds and detector limitations.

Findings

Successfully measured two distinct gluino dijet mass edges.

New variables reduce background impact in mass edge measurements.

Edges can be measured accurately despite ISR, FSR, and detector effects.

Abstract

In this paper we study the gluino dijet mass edge measurement at the LHC in a realistic situation including both SUSY and combinatorical backgrounds together with effects of initial and final state radiation as well as a finite detector resolution. Three benchmark scenarios are examined in which the dominant SUSY production process and also the decay modes are different. Several new kinematical variables are proposed to minimize the impact of SUSY and combinatorial backgrounds in the measurement. By selecting events with a particular number of jets and leptons, we attempt to measure two distinct gluino dijet mass edges originating from wino $\tilde g \to jj \tilde W$ and bino $\tilde g \to jj \tilde B$ decay modes, separately. We determine the endpoints of distributions of proposed and existing variables and show that those two edges can be disentangled and measured within good accuracy, irrespective of the presence of ISR, FSR, and detector effects.