Global fits of the scalar singlet model using GAMBIT

TL;DR

This paper performs a comprehensive global fit of the Higgs portal scalar singlet dark matter model using GAMBIT, integrating various experimental constraints to refine the viable parameter space.

Contribution

It is the first to use GAMBIT for a global fit of this model, combining multiple constraints in a statistically consistent framework.

Findings

Viable parameter space is significantly reduced by recent direct detection limits.

Four different scanning algorithms were used to explore 15 model parameters.

The study provides updated constraints on the scalar singlet dark matter model.

Abstract

The extension of the standard model (SM) by a Higgs portal scalar field is one the simplest dark matter theories. We present here the first results for a global fit to this model using the global and beyond the SM inference tool (GAMBIT). This software enables the combination of dark matter constraints in a statistically consistent manner. In total 15 parameters are varied and the parameter space explored using four different scanning algorithms. The viable parameter space is reduced from previous studies of this model due to the inclusion of the latest direct detection constraints.