Using a String Derived cMSSM to analyze regions of the Parameter Space to Find Dark Matter Candidates

We identify the neutralino, a potential dark matter candidate by analyzing parameter spaces using the dark matter computational model, MicroOmegas. We use a string theory based derived Constrained Minimal Supersymmetric Model(cMSSM) to mitigate the issue of naturalness and fine-tuning. Our results will determine whether the neutralino can be found at the electroweak scale.