Speaker
Description
Generally, the novelty evaluators are classified into two categories: isolation-based and clustering (density)-based. Properly combining the evaluators from each category yields a third category, namely “synergy-based”, which may significantly improve efficiency, quality and applicability of novelty evaluation. We demonstrate these features by analyzing the performances of the three category of evaluators, using a variety of two dimensional Gaussian samples mimicking the collider events and subsequently apply the study to the LHC detection of the tth Higgs physics and the gravity-mediated supersymmetry as novel events in the ttγγ channel.