Global analysis of dark matter simplified models with leptophobic spin-one mediators using MasterCode

E. Bagnaschi, J. C. Costa, K. Sakurai, M. Borsato, O. Buchmueller, A. De Roeck, M. J. Dolan, J. R. Ellis, H. Flächer, K. Hahn, S. Heinemeyer, M. Lucio, D. Martínez Santos, K. A. Olive, S. Trifa, G. Weiglein

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Abstract

We report the results of a global analysis of dark matter simplified models (DMSMs) with leptophobic mediator particles of spin one, considering the cases of both vector and axial-vector interactions with dark matter (DM) particles and quarks. We require the DMSMs to provide all the cosmological DM density indicated by Planck and other observations, and we impose the upper limits on spin-independent and -dependent scattering from direct DM search experiments. We also impose all relevant LHC constraints from searches for monojet events and measurements of the dijet mass spectrum. We model the likelihood functions for all the constraints and combine them within the MasterCode framework, and probe the full DMSM parameter spaces by scanning over the mediator and DM masses and couplings, not fixing any of the model parameters. We find, in general, two allowed regions of the parameter spaces: one in which the mediator couplings to Standard Model (SM) and DM particles may be comparable to those in the SM and the cosmological DM density is reached via resonant annihilation, and one in which the mediator couplings to quarks are ≲10-3 and DM annihilation is non-resonant. We find that the DM and mediator masses may well lie within the ranges accessible to LHC experiments. We also present predictions for spin-independent and -dependent DM scattering, and present specific results for ranges of the DM couplings that may be favoured in ultraviolet completions of the DMSMs.

Original languageEnglish (US)
Article number895
JournalEuropean Physical Journal C
Volume79
Issue number11
DOIs
StatePublished - Nov 1 2019

Bibliographical note

Funding Information:
We would like to thank Y. Mambrini and M. Voloshin for helpful discussions. G.W. acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany?s Excellence Strategy ? EXC 2121 ?Quantum Universe? ? 390833306. The work of K.S. has been partially supported by the National Science Centre, Poland, under research grants DEC-2014/15/B/ST2/02157, DEC-2015/18/M/ST2/00054 and DEC- 2015/19/D/ST2/03136. The work of M.B. and D.M.S. has been supported by the European Research Council via Grant BSMFLEET 639068. The work of J.C.C. is supported by CNPq (Brazil). The work of M.J.D. is supported in part by the Australia Research Council. The work of J.E. is supported in part by STFC (UK) via the research grant ST/L000258/1 and in part via the Estonian Research Council via a Mobilitas Pluss grant, and the work of H.F. is also supported in part by STFC (UK) via grant ST/N000250/1. The work of S.H. is supported in part by the MEINCOP Spain under contract FPA2016-78022-P, in part by the Spanish Agencia Estatal de Investigaci?n (AEI) and the EU Fondo Europeo de Desarrollo Regional (FEDER) through the project FPA2016-78645-P, in part by the AEI through the grant IFT Centro de Excelencia Severo Ochoa SEV-2016-0597, and by the ?Spanish Red Consolider Multidark? FPA2017-90566-REDC. The work of M.L. is supported by XuntaGal. The work of K.A.O. is supported in part by DOE grant desc0011842 at the University of Minnesota. During part of this work, to deploy MasterCode on clusters we used the middle-ware suite udocker [97], which was developed by the EC H2020 project INDIGO-Datacloud (RIA 653549). We also thank Imperial College London and the University of Bristol for making available to us cluster computing resources that have been used intensively to carry out this work.

Funding Information:
We would like to thank Y. Mambrini and M. Voloshin for helpful discussions. G.W. acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306. The work of K.S. has been partially supported by the National Science Centre, Poland, under research grants DEC-2014/15/B/ST2/02157, DEC-2015/18/M/ST2/00054 and DEC- 2015/19/D/ST2/03136. The work of M.B. and D.M.S. has been supported by the European Research Council via Grant BSMFLEET 639068. The work of J.C.C. is supported by CNPq (Brazil). The work of M.J.D. is supported in part by the Australia Research Council. The work of J.E. is supported in part by STFC (UK) via the research grant ST/L000258/1 and in part via the Estonian Research Council via a Mobilitas Pluss grant, and the work of H.F. is also supported in part by STFC (UK) via grant ST/N000250/1. The work of S.H. is supported in part by the MEINCOP Spain under contract FPA2016-78022-P, in part by the Spanish Agencia Estatal de Investigación (AEI) and the EU Fondo Europeo de Desarrollo Regional (FEDER) through the project FPA2016-78645-P, in part by the AEI through the grant IFT Centro de Excelencia Severo Ochoa SEV-2016-0597, and by the “Spanish Red Consolider Multidark” FPA2017-90566-REDC. The work of M.L. is supported by XuntaGal. The work of K.A.O. is supported in part by DOE grant desc0011842 at the University of Minnesota. During part of this work, to deploy MasterCode on clusters we used the middle-ware suite udocker [], which was developed by the EC H2020 project INDIGO-Datacloud (RIA 653549). We also thank Imperial College London and the University of Bristol for making available to us cluster computing resources that have been used intensively to carry out this work.

Publisher Copyright:
© 2019, The Author(s).

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