Phenomenological MSSM interpretation of CMS searches in pp collisions at √s=7 and 8 TeV
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Khachatryan2016_Article_PhenomenologicalMSSMInterpreta.pdf
Description
Published version
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2.13 MB
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Author(s)
Apyan, Aram
Barbieri, Richard Alexander
Baty, Austin Alan
Bi, Ran
Bierwagen, Katharina
Brandt, Stephanie Akemi
Busza, Wit
Cali, Ivan Amos
Demiragli, Zeynep
Di Matteo, Leonardo
Date Issued
October 2016
Journal
Journal of High Energy Physics
Publisher
Springer Nature
Citation
Khachatryan, V. et al. "Phenomenological MSSM interpretation of CMS searches in pp collisions at √s=7 and 8 TeV." Journal of High Energy Physics. 2016 (October 2016): 129 © 2016 The Author(s)
Version
Final published version
Abstract
Searches for new physics by the CMS collaboration are interpreted in the framework of the phenomenological minimal supersymmetric standard model (pMSSM). The data samples used in this study were collected at s=7 and 8 TeV and have integrated luminosities of 5.0 fb −1 and 19.5 fb −1 , respectively. A global Bayesian analysis is performed, incorporating results from a broad range of CMS supersymmetry searches, as well as constraints from other experiments. Because the pMSSM incorporates several well-motivated assumptions that reduce the 120 parameters of the MSSM to just 19 parameters defined at the electroweak scale, it is possible to assess the results of the study in a relatively straightforward way. Approximately half of the model points in a potentially accessible subspace of the pMSSM are excluded, including all pMSSM model points with a gluino mass below 500 GeV, as well as models with a squark mass less than 300 GeV. Models with chargino and neutralino masses below 200 GeV are disfavored, but no mass range of model points can be ruled out based on the analyses considered. The nonexcluded regions in the pMSSM parameter space are characterized in terms of physical processes and key observables, and implications for future searches are discussed.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Massachusetts Institute of Technology. Laboratory for Nuclear Science
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1007/JHEP10(2016)129
