{"@context":"http://schema.org","@id":"https://doi.org/10.17182/hepdata.147272.v2","@reverse":{"isBasedOn":[{"@type":"ScholarlyArticle","identifier":{"@type":"PropertyValue","propertyID":"URL","value":"https://inspirehep.net/literature/2761908"}},{"@id":"https://doi.org/10.1103/PhysRevD.109.112005","@type":"JournalArticle"}]},"@type":"Dataset","additionalType":"Collection","author":{"@type":"Organization","name":"CMS Collaboration"},"creator":{"@type":"Organization","name":"CMS Collaboration"},"datePublished":"2024","description":"A search for the production of long-lived particles in proton-proton collisions at a center-of-mass energy of 13 TeV at the CERN LHC is presented. The search is based on data collected by the CMS experiment in 2016--2018, corresponding to a total integrated luminosity of 137 $\\mathrm{fb}^{-1}$. This search is designed to be sensitive to long-lived particles with mean proper decay lengths between 0.1 and 1000 mm, whose decay products produce a final state with at least one displaced vertex and missing transverse momentum. A machine learning algorithm, which reduces 94 % of background events in the signal region, is applied to improve the sensitivity. The observation is consistent with the standard model background prediction, and the results are used to constrain split supersymmetry (SUSY) and gauge-mediated SUSY breaking models with different gluino mean proper decay lengths and masses. This search is the first CMS search that shows sensitivity to hadronically decaying long-lived particles from signals with mass differences between gluino and neutralino below 100 GeV. It sets the most stringent limits to date for split-SUSY models and gauge-mediated SUSY breaking models with gluino proper decay length less than 6 mm.","hasPart":[{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t1","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of 3. The distributions are shown for split-SUSY...","name":"Figure 3a (upper left)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t2","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of 3. The distributions are shown for split-SUSY...","name":"Figure 3b (upper right)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t3","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of 4. The distributions are shown for split-SUSY...","name":"Figure 3c (middle left)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t4","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of 4. The distributions are shown for split-SUSY...","name":"Figure 3d (middle right)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t5","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of $\\geq$ 5. The distributions are shown for...","name":"Figure 3e (lower left)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t6","@type":"Dataset","description":"Distributions of $S_{\\mathrm{ML}}$ for data, simulated background and signal events with $n_{\\mathrm{track}}$ of $\\geq$ 5. The distributions are shown for...","name":"Figure 3f (lower right)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t7","@type":"Dataset","description":"The distribution of $n_{\\mathrm{track}}$ in different $S_{\\mathrm{ML}}$ regions for simulated background events. Events with 0 $ < S_{\\mathrm{ML}} < $...","name":"Figure 4"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t8","@type":"Dataset","description":"The distribution of $d_{\\mathrm{BV}}$ in $K_{\\mathrm{S}}^{\\mathrm{0}}$ vertices in data (black) and simulation (purple). The lower panel shows the ratio between...","name":"Figure 5"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t9","@type":"Dataset","description":"The vertex reconstruction efficiency for artificially displaced vertices in data (black) and simulation (red). In this example, the artificially displaced...","name":"Figure 6a (left)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t10","@type":"Dataset","description":"The ML tagging efficiency for artificially displaced vertices in data (black) and simulation (red). In this example, the artificially displaced...","name":"Figure 6b (right)"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t11","@type":"Dataset","description":"Number of predicted and observed events in the control, validation, and search regions. Predictions are calculated using Eqs. (2) and...","name":"Table 2"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t12","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the split-SUSY signal...","name":"Figure 8a (left), grid of upper limits"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t13","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the split-SUSY signal...","name":"Figure 8a (left), gluino exclusion curves"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t14","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the split-SUSY model...","name":"Figure 8b (right), grid of upper limits"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t15","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the split-SUSY model...","name":"Figure 8b (right), gluino exclusion curves"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t16","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the GMSB SUSY...","name":"Figure 9, grid of upper limits"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t17","@type":"Dataset","description":"The 95% CL upper limit on the product of the cross section and branching fraction squared for the GMSB SUSY...","name":"Figure 9, gluino exclusion curves"},{"@id":"https://doi.org/10.17182/hepdata.147272.v2/t18","@type":"Dataset","description":"Efficiency of signal region A for all signal samples interperted in this search. The cross sections of all signal models...","name":"Table for signal efficiencies"}],"identifier":[{"@type":"PropertyValue","propertyID":"HEPDataRecord","value":"https://www.hepdata.net/record/ins2761908?version=2"},{"@type":"PropertyValue","propertyID":"HEPDataRecordAlt","value":"https://www.hepdata.net/record/147272"}],"inLanguage":"en","name":"Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at $\\sqrt{s}$ = 13 TeV","provider":{"@type":"Organization","name":"HEPData"},"publisher":{"@type":"Organization","name":"HEPData"},"url":"https://www.hepdata.net/record/ins2761908?version=2","version":2}