# Status of the scalar singlet dark matter model

## TL;DR

This paper provides a comprehensive Bayesian and frequentist analysis of the scalar singlet dark matter model, integrating multiple experimental constraints to identify viable parameter regions and assess their naturalness.

## Contribution

It offers the first combined Bayesian and frequentist global fit of the scalar singlet dark matter model using the GAMBIT framework, including extensive experimental data.

## Key findings

- Viable parameter space for singlet masses between Higgs mass and 300 GeV.
- Singlet masses above ~1 TeV can account for all dark matter.
- Low-mass resonance region remains viable but is fine-tuned in Bayesian analysis.

## 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.