Substructure tools: Today and Tomorrow
Dr. Kevin Nash
We discuss methods for discovering new physics by using the substructure of boosted heavy resonances to reduce light quark and gluon backgrounds. Here we detail cutting edge machine learning algorithms that allow for unprecedented sensitivity in all hadronic searches, and the first physics analyses that use these algorithms. We then outline the future of these searches from both the algorithmic and hardware side. The continued success of heavy resonance searches requires high resolution tracking data, so we look forward to the HLLHC CMS outer tracker upgrade. We concentrate on PS module prototyping, from the very first working assemblies to the most recent results.