Constraining the MSSM with Dark Matter indirect detection data

TL;DR

This paper explores how potential dark matter signals from Fermi LAT data could constrain the MSSM parameter space, demonstrating a method for analyzing future indirect detection evidence.

Contribution

It introduces a comprehensive parameter scan approach to test dark matter claims within the MSSM framework, highlighting the potential for strong model constraints.

Findings

Most of the MSSM parameter space is excluded by the analysis.

A small region remains compatible with the potential dark matter signal.

The method provides a framework for analyzing future indirect detection data.

Abstract

Recently, a claim of possible evidence for Dark Matter in data from the Fermi LAT experiment was made by Goodenough and Hooper [8]. We test the Dark Matter properties consistent with their claim in terms of the MSSM by a 24-dimensional parameter scan using nested sampling, excluding all but a very small region of the MSSM. Although this claim is very preliminary, and not made by the Fermi LAT experiment, our scan shows a possible approach for the analysis of future firm evidence from an indirect detection experiment, and its potential for heavily constraining models.