Prospects of Gluino searches in multi-lepton channels in the light of ongoing LHC RUN-III
Abhi Mukherjee et al.
This study investigates the prospect of discovering strongly interacting gluinos in different multi-lepton channels with lepton multiplicity greater than or equal to 2 at LHC RUN-III, considering several pMSSM scenarios. The effectiveness of the Multivariate Analysis (MVA) method with the Boosted Decision Tree (BDT) algorithm is explored in order to obtain a better significance for different models. Promising results are obtained for the 3-lepton channels, indicating that the use of MVA methods can improve the sensitivity of the search for gluinos at LHC RUN-III. The study probes the multi-lepton signatures arising from gluinos via intermediate eweakinos and sleptons at an early stage of the LHC RUN-III. The heavier eweakinos can give rise to three or four lepton signals in which the squark hierarchy between L and R types plays a crucial role. The study considers two sets of benchmark points that satisfy all the collider constraints obtained from the LHC RUN-II data. Moreover, these sets of benchmark points are mostly consistent with WMAP/PLANCK data and the muon (g-2) constraint. The corresponding results from the MVA technique demonstrate that even for an integrated luminosity of 260 fb−1, the 5 σ discovery prospect of $3l+ jets + MET for Mg=1.8 TeV in the wino type model is promising. The study also presents the other various models that may show up at the early stage of LHC RUN-III. The wino type models in the scenario where left squarks are light and right squarks are heavy, exhibit the best prospect of discovering gluinos in the multi-lepton channels in the LHC RUN-III experiment. This paper's findings provide crucial insights into the potential discovery of gluinos in multi-lepton channels, which lacks paying attention in the literature before.