Abstract

Abstract In this paper we study the gluino dijet mass edge measurement at the LHC in a realistic situation including both SUSY and combinatorial 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 $\widetilde{g} \to jj\widetilde{W}$ and bino $\widetilde{g} \to jj\widetilde{B}$ 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.

Highlights

  • Many ideas have already been put forward to address this obstacle

  • In this paper we study the gluino dijet mass edge measurement at the LHC in a realistic situation including both SUSY and combinatorial backgrounds together with effects of initial and final state radiation as well as a finite detector resolution

  • The aim of this paper is to assess the feasibility of the gluino dijet mass edge measurement in a realistic collider study including SUSY background, the effect of initial state radiation (ISR), and a finite detector resolution

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Summary

Scenario A

In scenario A, the mass splitting between squark and gluino is only 100 GeV. The associated qgprocess dominates the SUSY production. The black solid histograms consider the hemisphere 1, which contains the highest pT in the event and the red dashed histograms consider the other hemisphere group (hemisphere 2). The hemisphere variables m(112) and m(122) have endpoint structures around the true bino edge. M(122) from the softer hemisphere looks most promising out of the examined variables This is expected due to typically only one gluino and the asymmetric nature of the signal in scenario A. For the wino edge measurement, most of the distributions have tails above the correct value. These tails are bigger for min123 and min3j and a kink structure is less pronounced. Both m(122) and F3 show a nice edge structure at the vicinity of the true endpoint

Scenario B
Scenario C
Conclusions
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