Search for supersymmetry in the multijet and missing transverse momentum final state: an analysis performed on 2.3 fb$^{-1}$ of 13 TeV pp collision data collected with the CMS detector

TL;DR

This paper reports a search for supersymmetric particles in proton-proton collisions at 13 TeV using CMS data, finding no excess but setting new mass exclusion limits up to 1600 GeV for gluinos.

Contribution

First CMS analysis at 13 TeV to set improved limits on gluino and top squark masses in multijet plus missing transverse momentum final states.

Findings

No significant excess over the standard model expectation.

Gluino masses up to 1600 GeV are excluded at 95% CL.

Enhanced sensitivity compared to previous 8 TeV results.

Abstract

We present results from a generic search for strongly produced supersymmetric particles in pp collisions in the multijet + missing transverse momentum final state. The data sample corresponds to 2.3 fb$^{-1}$ recorded by the CMS experiment at $\sqrt{s}=13$ TeV. This search is motivated by supersymmetry (SUSY) models that avoid fine-tuning of the higgs mass. In such models, certain strongly produced SUSY particles, including the gluino and top squark, are predicted to have masses on the order of a TeV. These particles also have some of the highest production cross sections in SUSY and give rise to final states with distinct, high jet multiplicity event signatures. To make the analysis sensitive to a wide range of such final states, events are classified by the number of jets, the scalar sum of the transverse momenta of the jets, the vector sum of the transverse momenta of the jets, and the number of b-tagged jets. No significant excess is observed beyond the standard model (SM) expectation. The results are interpreted as limits on simplified SUSY models. In these models, gluino masses as high as 1600 GeV are excluded at 95\% CL for scenarios with low $\tilde{\chi}_{1}^{0}$ mass, exceeding the most stringent limits set in by CMS at $\sqrt{s}=8$ TeV by more than 200 GeV in several simplified models.