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| Report/Journal Article | PUBDB-2018-00528 |
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2017
Springer
Berlin
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Please use a persistent id in citations: doi:10.1140/epjc/s10052-017-5113-1 doi:10.3204/PUBDB-2018-00528
Report No.: CERN-TH-2017-170; COEPP-MN-17-10; CoEPP-MN-17-10; NORDITA 2017-079; arXiv:1705.07931
Abstract: One of the simplest viable models for dark matter is an additional neutral scalar, stabilised by a $\mathbb {Z}_2$ symmetry. Using the GAMBIT package and combining results from four independent samplers, we present Bayesian and frequentist global fits of this model. We vary the singlet mass and coupling along with 13 nuisance parameters, including nuclear uncertainties relevant for direct detection, the local dark matter density, and selected quark masses and couplings. We include the dark matter relic density measured by Planck, direct searches with LUX, PandaX, SuperCDMS and XENON100, limits on invisible Higgs decays from the Large Hadron Collider, searches for high-energy neutrinos from dark matter annihilation in the Sun with IceCube, and searches for gamma rays from annihilation in dwarf galaxies with the Fermi-LAT. Viable solutions remain at couplings of order unity, for singlet masses between the Higgs mass and about 300 GeV, and at masses above $\sim $ 1 TeV. Only in the latter case can the scalar singlet constitute all of dark matter. Frequentist analysis shows that the low-mass resonance region, where the singlet is about half the mass of the Higgs, can also account for all of dark matter, and remains viable. However, Bayesian considerations show this region to be rather fine-tuned.
Keyword(s): singlet: scalar ; dark matter: singlet ; dark matter: relic density ; dark matter: annihilation ; dark matter: density ; Higgs particle: mass ; quark: mass ; frequentist ; Bayesian ; dark matter: direct detection ; interpretation of experiments: CERN LHC Coll ; gamma ray ; stability ; IceCube ; satellite: Planck ; galaxy ; interpretation of experiments: XENON ; interpretation of experiments: GLAST ; interpretation of experiments: CDMS ; LUX
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