4.7 Article

A global fit of the MSSM with GAMBIT

期刊

EUROPEAN PHYSICAL JOURNAL C
卷 77, 期 12, 页码 -

出版社

SPRINGER
DOI: 10.1140/epjc/s10052-017-5196-8

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资金

  1. PLGrid Infrastructure (Poland)
  2. Netherlands Organisation for Scientific Research [NWO-Vidi 680-47-532]
  3. University of Sydney (Australia) [IRCA-G162448]
  4. ERA-CAN+ Twinning Program (Canada)
  5. Royal Society (UK) [UF110191]
  6. STFC (UK) [ST/K00414X/1, ST/P000762/1]
  7. Red Espanola de Supercomputacion (Spain) [FI-2016-1-0021]
  8. Glasgow University (UK)
  9. Swiss National Science Foundation [PP00P2-144674]
  10. National Science Foundation (USA) [DGE-1339067]
  11. Polish National Science Center [Sonata UMO-2015/17/D/ST2/03532]
  12. NOTUR (Norway) [NN9284K]
  13. NSERC/The Canadian Tri-Agencies Research Councils [BPDF-424460-2012]
  14. Research Council of Norway [FRIPRO 230546/F20]
  15. European Commission Horizon Marie Sklodowska-Curie actions [H2020-MSCA-RISE-2015-691164]
  16. FRQNT (Quebec)
  17. Swedish Research Council [621-2014-5772]
  18. Knut and Alice Wallenberg Foundation (Sweden
  19. Wallenberg Academy Fellowship)
  20. Australian Research Council [CE110001004, FT130100018, FT140100244, FT160100274]
  21. ERA-CAN+ Twinning Program (EU)
  22. STFC [ST/N000838/1, ST/K00414X/1, ST/P000762/1] Funding Source: UKRI
  23. Science and Technology Facilities Council [ST/N000838/1, ST/P000762/1, ST/K00414X/1] Funding Source: researchfish
  24. Australian Research Council [FT130100018] Funding Source: Australian Research Council

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We study the seven-dimensional Minimal Super-symmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis significantly extends previous weak-scale, phenomenological MSSM fits, by adding more and newer experimental analyses, improving the accuracy and detail of theoretical predictions, including dominant uncertainties from the Standard Model, the Galactic dark matter halo and the quark content of the nucleon, and employing novel and highly-efficient statistical sampling methods to scan the parameter space. We find regions of the MSSM7 that exhibit co-annihilation of neutralinos with charginos, stops and sbottoms, as well as models that undergo resonant annihilation via both light and heavy Higgs funnels. We find high-likelihood models with light charginos, stops and sbottoms that have the potential to be within the future reach of the LHC. Large parts of our preferred parameter regions will also be accessible to the next generation of direct and indirect dark matter searches, making prospects for discovery in the near future rather good.

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