Status of the scalar singlet dark matter model
Files
(Published Version)
Date
2017
Authors
Athron, P.
Balázs, C.
Bringmann, T.
Buckley, A.
Chrząszcz, M.
Conrad, J.
Cornell, J.
Dal, L.
Edsjö, J.
Farmer, B.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
European Physical Journal C, 2017; 77(8):568-1-568-17
Statement of Responsibility
Peter Athron, Csaba Balázs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Joakim Edsjö, Ben Farmer, Paul Jackson, Felix Kahlhoefer, Abram Krislock, Anders Kvellestad, James McKay, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev, Christopher Rogan, Aldo Saavedra, Christopher Savage, Pat Scott, Nicola Serra, Christoph Weniger, Martin White (The GAMBIT Collaboration).
Conference Name
Abstract
One of the simplest viable models for dark matter is an additional neutral scalar, stabilised by a Z₂ 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 ∼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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© The Author(s) 2017. This article is an open access publication This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP³.