{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.90835.v1","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/1749379"}},{"@id":"https://doi.org/10.1007/JHEP10(2019)244","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"CMS Collaboration"},"creator":{"@type":"Organization","name":"CMS Collaboration"},"datePublished":"2020","description":"Results are reported from a search for supersymmetric particles in the final state with multiple jets and large missing transverse momentum. The search uses a sample of proton-proton collisions at $\\sqrt{s}=13$ TeV collected with the CMS detector in 2016--2018, corresponding to an integrated luminosity of 137 fb$^{-1}$, representing essentially the full LHC Run 2 data sample. The analysis is performed in a four-dimensional search region defined in terms of the number of jets, the number of tagged bottom quark jets, the scalar sum of jet transverse momenta, and the magnitude of the vector sum of jet transverse momenta. No significant excess in the event yield is observed relative to the expected background contributions from standard model processes. Limits on the pair production of gluinos and squarks are obtained in the framework of simplified models for supersymmetric particle production and decay processes. Assuming the lightest supersymmetric particle to be a neutralino, lower limits on the gluino mass as large as 2000 to 2310 GeV are obtained at $95\\%$ confidence level, while lower limits on the squark mass as large as 1190 to 1630 GeV are obtained, depending on the production scenario.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t1","@type":"Dataset","description":"Observed yields and pre-fit background predictions for Njets 2-3.","name":"Yields and pre-fit BG, Njets 2-3"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t2","@type":"Dataset","description":"Observed yields and pre-fit background predictions for Njets 4-5.","name":"Yields and pre-fit BG, Njets 4-5"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t3","@type":"Dataset","description":"Observed yields and pre-fit background predictions for Njets 6-7.","name":"Yields and pre-fit BG, Njets 6-7"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t4","@type":"Dataset","description":"Observed yields and pre-fit background predictions for Njets 8-9.","name":"Yields and pre-fit BG, Njets 8-9"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t5","@type":"Dataset","description":"Observed yields and pre-fit background predictions for Njets &gt;=10.","name":"Yields and pre-fit BG, Njets >=10"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t6","@type":"Dataset","description":"Observed yields and pre-fit background predictions for aggregated bins.","name":"Yields and pre-fit BG, aggregated bins"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t7","@type":"Dataset","description":"Pre-fit background covariance matrix $\\sigma_{xy}$ for the 174 analysis bins.","name":"Covariance matrix"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t8","@type":"Dataset","description":"Pre-fit background correlation matrix $\\rho_{xy}$ for the 174 analysis bins.","name":"Correlation matrix"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t9","@type":"Dataset","description":"Observed yields and post-fit background predictions for Njets 2-3.","name":"Yields and post-fit BG, Njets 2-3"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t10","@type":"Dataset","description":"Observed yields and post-fit background predictions for Njets 4-5.","name":"Yields and post-fit BG, Njets 4-5"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t11","@type":"Dataset","description":"Observed yields and post-fit background predictions for Njets 6-7.","name":"Yields and post-fit BG, Njets 6-7"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t12","@type":"Dataset","description":"Observed yields and post-fit background predictions for Njets 8-9.","name":"Yields and post-fit BG, Njets 8-9"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t13","@type":"Dataset","description":"Observed yields and post-fit background predictions for Njets &gt;=10.","name":"Yields and post-fit BG, Njets >=10"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t14","@type":"Dataset","description":"Simulated signal yields for representative gluino signal model light-LSP points in the aggregate search regions. The uncertainties shown are statistical.","name":"Aggregate SR yields, gluinos, light LSP"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t15","@type":"Dataset","description":"Simulated signal yields for representative gluino signal model compressed points in the aggregate search regions. The uncertainties shown are statistical.","name":"Aggregate SR yields, gluinos, compressed"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t16","@type":"Dataset","description":"Simulated signal yields for representative squark signal model light-LSP points in the aggregate search regions. The uncertainties shown are statistical.","name":"Aggregate SR yields, squarks, light LSP"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t17","@type":"Dataset","description":"Simulated signal yields for representative squark signal model compressed points in the aggregate search regions. The uncertainties shown are statistical.","name":"Aggregate SR yields, squarks, compressed"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t18","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T1tttt signal model as a...","name":"T1tttt cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t19","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t20","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t21","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t22","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t23","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t24","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1tttt expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t25","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T1bbbb signal model as a...","name":"T1bbbb cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t26","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t27","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t28","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t29","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t30","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t31","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1bbbb expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t32","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T1qqqq signal model as a...","name":"T1qqqq cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t33","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t34","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t35","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t36","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t37","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t38","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T1qqqq expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t39","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T5qqqqVV signal model as a...","name":"T5qqqqVV cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t40","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t41","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t42","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t43","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t44","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t45","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T5qqqqVV expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t46","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T2tt signal model as a...","name":"T2tt cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t47","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t48","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t49","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t50","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t51","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t52","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2tt expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t53","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T2bb signal model as a...","name":"T2bb cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t54","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t55","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t56","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t57","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t58","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t59","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections","name":"T2bb expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t60","@type":"Dataset","description":"The 95% CL observed and expected upper limits on the production cross sections of the T2qq signal model as a...","name":"T2qq cross section upper limits"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t61","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t62","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t63","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t64","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t65","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t66","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t67","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (u d s c)","name":"T2qq (1 flavor) observed mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t68","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (single flavor)","name":"T2qq (1 flavor) observed + 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t69","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (single flavor)","name":"T2qq (1 flavor) observed - 1 s.d.(theory) mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t70","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (single flavor)","name":"T2qq (1 flavor) expected mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t71","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (single flavor)","name":"T2qq (1 flavor) expected + 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t72","@type":"Dataset","description":"Exclusion limits assuming the approximate-NNLO+NNLL cross sections (single flavor)","name":"T2qq (1 flavor) expected - 1 s.d. mass limit curve"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t73","@type":"Dataset","description":"The observed significance of the SMS models for T1tttt as function of the gluino and LSP masses.","name":"T1tttt significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t74","@type":"Dataset","description":"The observed significance of the SMS models for T1bbbb as function of the gluino and LSP masses.","name":"T1bbbb significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t75","@type":"Dataset","description":"The observed significance of the SMS models for T1qqqq as function of the gluino and LSP masses.","name":"T1qqqq significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t76","@type":"Dataset","description":"The observed significance of the SMS models for T5qqqqVV as function of the gluino and LSP masses.","name":"T5qqqqVV significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t77","@type":"Dataset","description":"The observed significance of the SMS models for T2tt as function of the top squark and LSP masses.","name":"T2tt significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t78","@type":"Dataset","description":"The observed significance of the SMS models for T2bb as function of the bottom squark and LSP masses.","name":"T2bb significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t79","@type":"Dataset","description":"The observed significance of the SMS models for T2qq as function of the LSP and light squark masses.","name":"T2qq significance"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t80","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T1tttt as function of the gluino and LSP masses. The efficiency...","name":"T1tttt efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t81","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T1bbbb as function of the gluino and LSP masses. The efficiency...","name":"T1bbbb efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t82","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T1qqqq as function of the gluino and LSP masses. The efficiency...","name":"T1qqqq efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t83","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T5qqqqVV as function of the gluino and LSP masses. The efficiency...","name":"T5qqqqVV efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t84","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T2tt as function of the top squark and LSP masses. The...","name":"T2tt efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t85","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T2bb as function of the bottom squark and LSP masses. The...","name":"T2bb efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t86","@type":"Dataset","description":"The efficiency times acceptance of the SMS models for T2qq as function of the LSP and light squark masses. The...","name":"T2qq efficiency"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t87","@type":"Dataset","description":"Absolute cumulative efficiencies in percent for each step of the event selection process, listed for four representative gluino pair production...","name":"Cut flow, gluinos, light LSP"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t88","@type":"Dataset","description":"Absolute cumulative efficiencies in percent for each step of the event selection process, listed for four representative gluino pair production...","name":"Cut flow, gluinos, compressed"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t89","@type":"Dataset","description":"Absolute cumulative efficiencies in percent for each step of the event selection process, listed for three representative squark pair production...","name":"Cut flow, squarks, light LSP"},{"@id":"https://doi.org/10.17182/hepdata.90835.v1/t90","@type":"Dataset","description":"Absolute cumulative efficiencies in percent for each step of the event selection process, listed for three representative squark pair production...","name":"Cut flow, squarks, compressed"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins1749379?version=1"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/90835"}],"inLanguage":"en","name":"Search for supersymmetry in proton-proton collisions at 13 TeV in final states with jets and missing transverse momentum","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins1749379?version=1","version":1}
