{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.80609.v2","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/1644618"}},{"@id":"https://doi.org/10.1103/PhysRevD.97.052010","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"ATLAS Collaboration"},"creator":{"@type":"Organization","name":"ATLAS Collaboration"},"datePublished":"2021","description":"A search for electroweak production of supersymmetric particles in scenarios with compressed mass spectra in final states with two low-momentum leptons and missing transverse momentum is presented. This search uses proton--proton collision data recorded by the ATLAS detector at the Large Hadron Collider in 2015--2016, corresponding to 36.1 fb$^{-1}$ of integrated luminosity at $\\sqrt{s}=13$ TeV. Events with same-flavor pairs of electrons or muons with opposite electric charge are selected. The data are found to be consistent with the Standard Model prediction. Results are interpreted using simplified models of R-parity-conserving supersymmetry in which there is a small mass difference between the masses of the produced supersymmetric particles and the lightest neutralino. Exclusion limits at 95% confidence level are set on next-to-lightest neutralino masses of up to 130 GeV for Higgsino production and 170 GeV for wino production, and sleptons masses of up to 180 GeV for pair production of sleptons. In the compressed mass regime, the exclusion limits extend down to mass splittings of 3 GeV for Higgsino production, 2.5 GeV for wino production, and 1 GeV for slepton production. The results are also interpreted in the context of a radiatively-driven natural supersymmetry model with non-universal Higgs boson masses.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t1","@type":"Dataset","description":"Kinematics 1 Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive...","name":"Table 1"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t2","@type":"Dataset","description":"Kinematics 2 Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive...","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t3","@type":"Dataset","description":"Kinematics 3 Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive...","name":"Table 3"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t4","@type":"Dataset","description":"Kinematics 4 Kinematic distributions after the background-only fit showing the data as well as the expected background in the inclusive...","name":"Table 4"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t5","@type":"Dataset","description":"Exclusion 1 (exp) Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σexp (yellow band) from experimental systematic uncertainties and...","name":"Table 5"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t6","@type":"Dataset","description":"Exclusion 1 (obs) Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σexp (yellow band) from experimental systematic uncertainties and...","name":"Table 6"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t7","@type":"Dataset","description":"Exclusion 2 (exp) Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σexp (yellow band) from experimental systematic uncertainties and...","name":"Table 7"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t8","@type":"Dataset","description":"Exclusion 2 (obs) Expected 95% CL exclusion sensitivity (blue dashed line) with pm1σexp (yellow band) from experimental systematic uncertainties and...","name":"Table 8"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t9","@type":"Dataset","description":"Exclusion 3 (exp) Expected 95% CL exclusion sensitivity (blue dashed line) with ± 1 σexp (yellow band) from experimental systematic...","name":"Table 9"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t10","@type":"Dataset","description":"Exclusion 3 (obs) Expected 95% CL exclusion sensitivity (blue dashed line) with ± 1 σexp (yellow band) from experimental systematic...","name":"Table 10"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t11","@type":"Dataset","description":"Upper Limits 1 The first two columns present observed (Nobs) and expected (Nexp) event yields in the inclusive signal regions....","name":"Table 11"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t12","@type":"Dataset","description":"Cutflow 1 Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive...","name":"Table 12"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t13","@type":"Dataset","description":"Acceptances 1 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 13"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t14","@type":"Dataset","description":"Acceptances 2 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 14"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t15","@type":"Dataset","description":"Acceptances 3 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 15"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t16","@type":"Dataset","description":"Acceptances 4 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 16"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t17","@type":"Dataset","description":"Acceptances 5 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 17"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t18","@type":"Dataset","description":"Acceptances 6 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 18"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t19","@type":"Dataset","description":"Acceptances 7 Truth acceptances for the Higgsino χ̃20χ̃1± production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 19"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t20","@type":"Dataset","description":"Acceptances 8 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 20"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t21","@type":"Dataset","description":"Acceptances 9 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 21"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t22","@type":"Dataset","description":"Acceptances 10 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 22"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t23","@type":"Dataset","description":"Acceptances 11 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 23"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t24","@type":"Dataset","description":"Acceptances 12 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 24"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t25","@type":"Dataset","description":"Acceptances 13 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 25"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t26","@type":"Dataset","description":"Acceptances 14 Truth acceptances for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 26"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t27","@type":"Dataset","description":"Acceptances 15 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 27"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t28","@type":"Dataset","description":"Acceptances 16 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 28"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t29","@type":"Dataset","description":"Acceptances 17 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 29"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t30","@type":"Dataset","description":"Acceptances 18 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 30"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t31","@type":"Dataset","description":"Acceptances 19 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 31"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t32","@type":"Dataset","description":"Acceptances 20 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 32"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t33","@type":"Dataset","description":"Acceptances 21 Truth acceptances for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 33"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t34","@type":"Dataset","description":"Acceptances 22 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 34"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t35","@type":"Dataset","description":"Acceptances 23 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 35"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t36","@type":"Dataset","description":"Acceptances 24 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 36"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t37","@type":"Dataset","description":"Acceptances 25 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 37"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t38","@type":"Dataset","description":"Acceptances 26 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 38"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t39","@type":"Dataset","description":"Acceptances 27 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 39"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t40","@type":"Dataset","description":"Acceptances 28 Truth acceptances for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Numbers overlaid on the mass...","name":"Table 40"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t41","@type":"Dataset","description":"Acceptances 29 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 41"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t42","@type":"Dataset","description":"Acceptances 30 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 42"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t43","@type":"Dataset","description":"Acceptances 31 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 43"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t44","@type":"Dataset","description":"Acceptances 32 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 44"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t45","@type":"Dataset","description":"Acceptances 33 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 45"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t46","@type":"Dataset","description":"Acceptances 34 Truth acceptances for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Numbers overlaid on the mass planes are...","name":"Table 46"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t47","@type":"Dataset","description":"Efficiencies 1 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 47"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t48","@type":"Dataset","description":"Efficiencies 2 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 48"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t49","@type":"Dataset","description":"Efficiencies 3 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 49"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t50","@type":"Dataset","description":"Efficiencies 4 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 50"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t51","@type":"Dataset","description":"Efficiencies 5 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 51"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t52","@type":"Dataset","description":"Efficiencies 6 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 52"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t53","@type":"Dataset","description":"Efficiencies 7 Efficiencies for the Higgsino χ̃20χ̃1+ production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 53"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t54","@type":"Dataset","description":"Efficiencies 8 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 54"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t55","@type":"Dataset","description":"Efficiencies 9 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 55"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t56","@type":"Dataset","description":"Efficiencies 10 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 56"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t57","@type":"Dataset","description":"Efficiencies 11 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 57"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t58","@type":"Dataset","description":"Efficiencies 12 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 58"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t59","@type":"Dataset","description":"Efficiencies 13 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 59"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t60","@type":"Dataset","description":"Efficiencies 14 Efficiencies for the Higgsino χ̃20χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 60"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t61","@type":"Dataset","description":"Efficiencies 15 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 61"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t62","@type":"Dataset","description":"Efficiencies 16 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 62"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t63","@type":"Dataset","description":"Efficiencies 17 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 63"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t64","@type":"Dataset","description":"Efficiencies 18 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 64"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t65","@type":"Dataset","description":"Efficiencies 19 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 65"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t66","@type":"Dataset","description":"Efficiencies 20 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 66"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t67","@type":"Dataset","description":"Efficiencies 21 Efficiencies for the Higgsino χ̃20χ̃10 production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 67"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t68","@type":"Dataset","description":"Efficiencies 22 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 68"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t69","@type":"Dataset","description":"Efficiencies 23 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 69"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t70","@type":"Dataset","description":"Efficiencies 24 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 70"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t71","@type":"Dataset","description":"Efficiencies 25 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 71"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t72","@type":"Dataset","description":"Efficiencies 26 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 72"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t73","@type":"Dataset","description":"Efficiencies 27 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 73"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t74","@type":"Dataset","description":"Efficiencies 28 Efficiencies for the Higgsino χ̃1+χ̃1- production process in the inclusive SRℓℓ-mℓℓ regions. Efficiencies are computed as the ``acceptance...","name":"Table 74"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t75","@type":"Dataset","description":"Efficiencies 29 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 75"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t76","@type":"Dataset","description":"Efficiencies 30 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 76"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t77","@type":"Dataset","description":"Efficiencies 31 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 77"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t78","@type":"Dataset","description":"Efficiencies 32 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 78"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t79","@type":"Dataset","description":"Efficiencies 33 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 79"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t80","@type":"Dataset","description":"Efficiencies 34 Efficiencies for the ℓ̃ℓ̃ production in the inclusive SRℓℓ-mT2100 regions. Efficiencies are computed as the ``acceptance times efficiency\"...","name":"Table 80"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t81","@type":"Dataset","description":"Cross-Sections 1 Cross-sections of the Higgsino signal grid for each production process denoted in the caption.","name":"Table 81"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t82","@type":"Dataset","description":"Cross-Sections 2 Cross-sections of the Higgsino signal grid for each production process denoted in the caption.","name":"Table 82"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t83","@type":"Dataset","description":"Cross-Sections 3 Cross-sections of the Higgsino signal grid for each production process denoted in the caption.","name":"Table 83"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t84","@type":"Dataset","description":"Cross-Sections 4 Cross-sections of the Higgsino signal grid for each production process denoted in the caption.","name":"Table 84"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t85","@type":"Dataset","description":"Cross-Sections 5 Cross-sections of the wino--bino signal grid for each production process in the caption.","name":"Table 85"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t86","@type":"Dataset","description":"Cross-Sections 6 Cross-sections of the wino--bino signal grid for each production process in the caption.","name":"Table 86"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t87","@type":"Dataset","description":"Cross-Sections 7 Total cross-sections of the slepton simplified model signal grid. Slepton refers to a the scalar partners of the...","name":"Table 87"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t88","@type":"Dataset","description":"Kinematics 5 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 88"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t89","@type":"Dataset","description":"Kinematics 6 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 89"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t90","@type":"Dataset","description":"Kinematics 7 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 90"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t91","@type":"Dataset","description":"Kinematics 8 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 91"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t92","@type":"Dataset","description":"Kinematics 9 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 92"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t93","@type":"Dataset","description":"Kinematics 10 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 93"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t94","@type":"Dataset","description":"Kinematics 11 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 94"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t95","@type":"Dataset","description":"Kinematics 12 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 95"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t96","@type":"Dataset","description":"Kinematics 13 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 96"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t97","@type":"Dataset","description":"Kinematics 14 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 97"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t98","@type":"Dataset","description":"Kinematics 15 Distributions after the background-only fit of kinematic variables used to define selections common to all signal regions, i.e....","name":"Table 98"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t99","@type":"Dataset","description":"Upper Limits 2 Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.","name":"Table 99"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t100","@type":"Dataset","description":"Upper Limits 3 Numbers show 95% CL model-dependent upper limits on the inclusive Higgsino signal cross-sections.","name":"Table 100"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t101","@type":"Dataset","description":"Upper Limits 4 Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.","name":"Table 101"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t102","@type":"Dataset","description":"Upper Limits 5 Numbers show 95% CL model-dependent upper limits on the inclusive signal cross-sections of the wino--bino model.","name":"Table 102"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t103","@type":"Dataset","description":"Upper Limits 6 Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass...","name":"Table 103"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t104","@type":"Dataset","description":"Upper Limits 7 Numbers show the 95% CL model-dependent upper limits on the slepton signal cross-sections, assuming a fourfold mass...","name":"Table 104"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t105","@type":"Dataset","description":"Upper Limits 8 Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m1/2...","name":"Table 105"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t106","@type":"Dataset","description":"Upper Limits 9 Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m1/2...","name":"Table 106"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t107","@type":"Dataset","description":"Upper Limits 10 Expected and observed 95% CL cross-section upper limits as a function of the universal gaugino mass m1/2...","name":"Table 107"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t108","@type":"Dataset","description":"Cutflow 2 Observed event yields and exclusion fit results with the signal strength parameter set to zero for the exclusive...","name":"Table 108"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t109","@type":"Dataset","description":"Cutflow 3 Observed event yields and background-only fit results for the inclusive electroweakino and slepton signal regions. Background processes containing...","name":"Table 109"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t110","@type":"Dataset","description":"Exclusion 4 Nominal observed and expected CLs values for Higgsino signals.","name":"Table 110"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t111","@type":"Dataset","description":"Exclusion 5 Nominal observed and expected CLs values for wino--bino signals.","name":"Table 111"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t112","@type":"Dataset","description":"Exclusion 6 Nominal observed and expected CLs values for slepton signals.","name":"Table 112"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t113","@type":"Dataset","description":"Upper Limits 11 Upper limits on observed (expected) Higgsino simplified model signal cross section σobs (exp)95 and signal strength σobs...","name":"Table 113"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t114","@type":"Dataset","description":"Upper Limits 12 Upper limits on observed (expected) wino--bino simplified model signal cross section σobs (exp)95 and signal strength σobs...","name":"Table 114"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t115","@type":"Dataset","description":"Upper Limits 13 Upper limits on observed (expected) slepton simplified model signal cross section σobs (exp)95 and signal strength σobs...","name":"Table 115"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t116","@type":"Dataset","description":"Cutflow 4 Event counts for Higgsino H and slepton ℓ signals after sequential selections for the inclusive SRℓℓ-mℓℓ and SRℓℓ-mT2100...","name":"Table 116"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t117","@type":"Dataset","description":"Cutflow 5 Event counts for the χ̃20χ̃1+ process of the Higgsino m(χ̃20, χ̃10) = (110, 100) GeV signal and sequentially...","name":"Table 117"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t118","@type":"Dataset","description":"Cutflow 6 Event counts for the χ̃20χ̃1- process of the Higgsino m(χ̃20, χ̃10) = (110, 100) GeV signal and sequentially...","name":"Table 118"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t119","@type":"Dataset","description":"Cutflow 7 Event counts for the χ̃20χ̃10 process of the Higgsino m(χ̃20, χ̃10) = (110, 100) GeV signal and sequentially...","name":"Table 119"},{"@id":"https://doi.org/10.17182/hepdata.80609.v2/t120","@type":"Dataset","description":"Cutflow 8 Event counts for the χ̃1+χ̃1- process of the Higgsino m(χ̃20, χ̃10) = (110, 100) GeV signal and sequentially...","name":"Table 120"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins1644618?version=2"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/80609"}],"inLanguage":"en","name":"Search for electroweak production of supersymmetric states in scenarios with compressed mass spectra at $\\sqrt{s}=13$ TeV with the ATLAS detector","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins1644618?version=2","version":2}