Dark Matter: Connecting LHC searches to direct detection

TL;DR

This paper reviews how LHC searches and direct detection experiments for dark matter complement each other, focusing on EFT and MSSM models to understand overlapping constraints and parameter space.

Contribution

It provides a comparative analysis of LHC and direct detection constraints within EFT and MSSM frameworks, highlighting their interplay and combined sensitivity.

Findings

LHC searches constrain parameter space complementary to direct detection for loop-induced operators.

In MSSM, stop and Higgs exchanges link collider and direct detection constraints.

Combined analyses improve overall dark matter detection sensitivity.

Abstract

In these proceedings we review the interplay between LHC searches for dark matter and direct detection experiments. For this purpose we consider two prime examples: the effective field theory (EFT) approach and the minimal supersymmetric standard model (MSSM). In the EFT scenario we show that for operators which do not enter directly direct detection at tree-level, but only via loop effects, LHC searches give complementary constraints. In the MSSM stop and Higgs exchange contribute to the direct detection amplitude. Therefore, LHC searches for supersymmetric particles and heavy Higgses place constraints on the same parameter space as direct detection.