Improving jet substructure performance in ATLAS using Track-CaloClusters

Jet substructure techniques play a critical role in ATLAS in searches for new physics, are increasingly important in measurements of the Standard Model, and are being utilized in the trigger. To date, ATLAS has mostly focused on the use of calorimeter-based jet substructure, which works well for jets initiated by particles with low to moderate boost, but which lacks the angular resolution needed to resolve the desired substructure in the highly-boosted regime. We present a novel approach designed to mitigate the calorimeter angular resolution limitations, thus providing superior performance to prior methods. Similarly to the previously developed combined mass technique, the superior angular resolution of the tracker is combined with information from the calorimeters. However, the new method is fundamentally different, as it correlates low-level objects such as tracks and individual energy deposits in the calorimeter, before running any jet finding algorithms. The resulting objects are used as inputs to jet reconstruction, and in turn result in improved resolution for both jet mass and substructure variables. Preliminary studies indicate that these jets may be sufficiently robust against pile-up without any grooming applied, due to the pile-up rejection capabilities of the tracker.