This study investigates the prospect of discovering strongly interacting gluinos in different multi-lepton channels with lepton multiplicities greater than or equal to 2 at LHC RUN-Ⅲ,considering several pMSSM scenari...This study investigates the prospect of discovering strongly interacting gluinos in different multi-lepton channels with lepton multiplicities 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 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 the 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 270 fb-1,the 5 σ discovery prospect of3l+jets+ETfor Mg=1.8 TeV in the wino type model is promising.The study also presents various other models that may emerge at the early stage of LHC RUN-Ⅲ.Wino type models in the scenario where left squarks are light and right squarks are heavy exhibit the best prospect of discovering gluinos in multi-lepton channels in the LHC RUN-Ⅲ experiment.The findings of this study provide crucial insights into the potential discovery of gluinos in multi-lepton channels.展开更多
文摘This study investigates the prospect of discovering strongly interacting gluinos in different multi-lepton channels with lepton multiplicities 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 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 the 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 270 fb-1,the 5 σ discovery prospect of3l+jets+ETfor Mg=1.8 TeV in the wino type model is promising.The study also presents various other models that may emerge at the early stage of LHC RUN-Ⅲ.Wino type models in the scenario where left squarks are light and right squarks are heavy exhibit the best prospect of discovering gluinos in multi-lepton channels in the LHC RUN-Ⅲ experiment.The findings of this study provide crucial insights into the potential discovery of gluinos in multi-lepton channels.
