{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.63284.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/1297226"}},{"@id":"https://doi.org/10.1103/PhysRevD.90.052001","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ATLAS Collaboration"},"creator":{"@type":"Organization","name":"ATLAS Collaboration"},"datePublished":"2016","description":"CERN-LHC. Results from a search for supersymmetry in events with four or more leptons including electrons, muons and taus are presented. The analysis uses a data sample corresponding to 20.3 fb^{-1} of proton-proton collisions delivered by the Large Hadron Collider at sqrt(s) = 8 TeV and recorded by the ATLAS detector. Signal regions are designed to target supersymmetric scenarios that can be either enriched in or depleted of events involving the production of a Z boson. No significant deviations are observed in data from Standard Model predictions and results are used to set upper limits on the event yields from processes beyond the Standard Model. Exclusion limits at the 95% confidence level on the masses of relevant supersymmetric particles are obtained. In R-parity-violating simplified models with decays of the lightest supersymmetric particle to electrons and muons, limits of 1350 GeV and 750 GeV are placed on gluino and chargino masses, respectively. In R-parity-conserving simplified models with heavy neutralinos decaying to a massless lightest supersymmetric particle, heavy neutralino masses up to 620 GeV are excluded. Limits are also placed on other supersymmetric scenarios.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t1","@type":"Dataset","description":"The ETmiss distribution in VR0Z.","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t2","@type":"Dataset","description":"The effective mass distribution in VR0Z.","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t3","@type":"Dataset","description":"The ETmiss distribution in VR2Z.","name":"Table 3"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t4","@type":"Dataset","description":"The effective mass distribution in VR2Z.","name":"Table 4"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t5","@type":"Dataset","description":"The ETmiss distribution in SR0noZa.","name":"Table 5"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t6","@type":"Dataset","description":"The effective mass distribution in SR0noZa.","name":"Table 6"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t7","@type":"Dataset","description":"The ETmiss distribution in SR1noZa.","name":"Table 7"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t8","@type":"Dataset","description":"The effective mass distribution in SR1noZa.","name":"Table 8"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t9","@type":"Dataset","description":"The ETmiss distribution in SR2noZa.","name":"Table 9"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t10","@type":"Dataset","description":"The effective mass distribution in SR2noZa.","name":"Table 10"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t11","@type":"Dataset","description":"The ETmiss distribution in SR0noZb.","name":"Table 11"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t12","@type":"Dataset","description":"The effective mass distribution in SR0noZb.","name":"Table 12"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t13","@type":"Dataset","description":"The ETmiss distribution in SR1noZb.","name":"Table 13"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t14","@type":"Dataset","description":"The effective mass distribution in SR1noZb.","name":"Table 14"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t15","@type":"Dataset","description":"The ETmiss distribution in SR2noZb.","name":"Table 15"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t16","@type":"Dataset","description":"The effective mass distribution in SR2noZb.","name":"Table 16"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t17","@type":"Dataset","description":"The ETmiss distribution in SR0Z.","name":"Table 17"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t18","@type":"Dataset","description":"The effective mass distribution in SR0Z.","name":"Table 18"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t19","@type":"Dataset","description":"The ETmiss distribution in SR1Z.","name":"Table 19"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t20","@type":"Dataset","description":"The effective mass distribution in SR1Z.","name":"Table 20"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t21","@type":"Dataset","description":"The ETmiss distribution in SR2Z.","name":"Table 21"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t22","@type":"Dataset","description":"The effective mass distribution in SR2Z.","name":"Table 22"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t23","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.","name":"Table 23"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t24","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_121 != 0.","name":"Table 24"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t25","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.","name":"Table 25"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t26","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_122 != 0.","name":"Table 26"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t27","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.","name":"Table 27"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t28","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_133 != 0.","name":"Table 28"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t29","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.","name":"Table 29"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t30","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV chargino NLSP model with lambda_233 != 0.","name":"Table 30"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t31","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.","name":"Table 31"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t32","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_121 != 0.","name":"Table 32"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t33","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.","name":"Table 33"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t34","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_122 != 0.","name":"Table 34"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t35","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.","name":"Table 35"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t36","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_133 != 0.","name":"Table 36"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t37","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.","name":"Table 37"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t38","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV gluino NLSP model with lambda_233 != 0.","name":"Table 38"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t39","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.","name":"Table 39"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t40","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_121 != 0.","name":"Table 40"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t41","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.","name":"Table 41"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t42","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_122 != 0.","name":"Table 42"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t43","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.","name":"Table 43"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t44","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_133 != 0.","name":"Table 44"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t45","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.","name":"Table 45"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t46","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Lslepton NLSP model with lambda_233 != 0.","name":"Table 46"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t47","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.","name":"Table 47"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t48","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_121 != 0.","name":"Table 48"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t49","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.","name":"Table 49"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t50","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_122 != 0.","name":"Table 50"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t51","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.","name":"Table 51"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t52","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_133 != 0.","name":"Table 52"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t53","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.","name":"Table 53"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t54","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV Rslepton NLSP model with lambda_233 != 0.","name":"Table 54"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t55","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.","name":"Table 55"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t56","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_121 != 0.","name":"Table 56"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t57","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.","name":"Table 57"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t58","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_122 != 0.","name":"Table 58"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t59","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.","name":"Table 59"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t60","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_133 != 0.","name":"Table 60"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t61","@type":"Dataset","description":"Observed 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.","name":"Table 61"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t62","@type":"Dataset","description":"Expected 95% CL exclusion contour for the RPV sneutrino NLSP model with lambda_233 != 0.","name":"Table 62"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t63","@type":"Dataset","description":"Observed 95% CL exclusion contour for the R-slepton RPC model.","name":"Table 63"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t64","@type":"Dataset","description":"Expected 95% CL exclusion contour for the R-slepton RPC model.","name":"Table 64"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t65","@type":"Dataset","description":"Observed and expected 95% CL cross-section upper limits for the Stau RPC model, together with the theoretically predicted cross-section.","name":"Table 65"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t66","@type":"Dataset","description":"Observed and expected 95% CL cross-section upper limits for the Z RPC model, together with the theoretically predicted cross-section.","name":"Table 66"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t67","@type":"Dataset","description":"Observed 95% CL exclusion contour for the GGM tan beta = 1.5 model.","name":"Table 67"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t68","@type":"Dataset","description":"Expected 95% CL exclusion contour for the GGM tan beta = 1.5 model.","name":"Table 68"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t69","@type":"Dataset","description":"Observed 95% CL exclusion contour for the GGM tan beta = 30 model.","name":"Table 69"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t70","@type":"Dataset","description":"Expected 95% CL exclusion contour for the GGM tan beta = 30 model.","name":"Table 70"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t71","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_121 != 0 and lambda_122 != 0,...","name":"Table 71"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t72","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV chargino NLSP models with lambda_133 != 0 and lambda_233 != 0,...","name":"Table 72"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t73","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_121 != 0 and lambda_122 != 0,...","name":"Table 73"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t74","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV gluino NLSP models with lambda_133 != 0 and lambda_233 != 0,...","name":"Table 74"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t75","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_121 != 0 and lambda_122 != 0,...","name":"Table 75"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t76","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV Lslepton NLSP models with lambda_133 != 0 and lambda_233 != 0,...","name":"Table 76"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t77","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_121 != 0 and lambda_122 != 0,...","name":"Table 77"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t78","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV Rslepton NLSP models with lambda_133 != 0 and lambda_233 != 0,...","name":"Table 78"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t79","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_121 != 0 and lambda_122 != 0,...","name":"Table 79"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t80","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the RPV sneutrino NLSP models with lambda_133 != 0 and lambda_233 != 0,...","name":"Table 80"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t81","@type":"Dataset","description":"Observed 95% CL cross-section upper limit for the R-slepton RPC model, and the selection of Z-veto signal regions used to...","name":"Table 81"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t82","@type":"Dataset","description":"Performance of the SR0noZa selection in the R-slepton RPC model: number of generated signal events; total signal cross-section; acceptance; efficiency;...","name":"Table 82"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t83","@type":"Dataset","description":"Performance of the SR0noZb selection in the RPV chargino NLSP model with lambda_121 != 0: number of generated signal events;...","name":"Table 83"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t84","@type":"Dataset","description":"Performance of the SR1noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events;...","name":"Table 84"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t85","@type":"Dataset","description":"Performance of the SR1noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events;...","name":"Table 85"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t86","@type":"Dataset","description":"Performance of the SR2noZa selection in the RPV sneutrino NLSP model with lambda_233 != 0: number of generated signal events;...","name":"Table 86"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t87","@type":"Dataset","description":"Performance of the SR2noZb selection in the RPV gluino NLSP model with lambda_133 != 0: number of generated signal events;...","name":"Table 87"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t88","@type":"Dataset","description":"Performance of the SR0Z selection in the GGM tan beta = 30 model: number of generated signal events; total signal...","name":"Table 88"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t89","@type":"Dataset","description":"Cut flows for a representative selection of SUSY signal points in the Z-veto signal regions. In each case, m2 and...","name":"Table 89"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t90","@type":"Dataset","description":"Cut flows for a representative selection of SUSY signal points in the Z-rich signal regions. In each case, m2 and...","name":"Table 90"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t91","@type":"Dataset","description":"Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0noZa signal region. In each...","name":"Table 91"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t92","@type":"Dataset","description":"Cut flows by lepton channel for a representative selection of SUSY signal points in the SR1noZb signal region. In each...","name":"Table 92"},{"@id":"https://doi.org/10.17182/hepdata.63284.v1/t93","@type":"Dataset","description":"Cut flows by lepton channel for a representative selection of SUSY signal points in the SR0Z signal region. In each...","name":"Table 93"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins1297226?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/63284"}],"inLanguage":"en","name":"Search for supersymmetry in events with four or more leptons in $\\sqrt{s}$ = 8 TeV pp collisions with the ATLAS detector","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins1297226?version=1","version":1}