Nov 4 – 8, 2024
LPNHE, Paris, France
Europe/Paris timezone

A Continuous Calibration of the ATLAS Flavor-Tagging Classifiers via Optimal Transportation Maps

Nov 6, 2024, 4:40 PM
20m
Amphi Charpak

Amphi Charpak

Speaker

Chris Pollard (University of Warwick (GB))

Description

A calibration of the ATLAS flavor-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the $b$-, $c$-, and light flavor classification probabilities from jet tagging algorithms in simulation are derived for $b$-jets using $t\bar t \to b \bar b e \mu \nu \nu$ events. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavor observables used in ATLAS analyses of the LHC collision data. This continuous calibration opens up new possibilities for the future use of jet flavor information in LHC analyses and furthermore serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.

Track Tagging (Classification)

Authors

ATLAS Collaboration Chris Pollard (University of Warwick (GB))

Co-author

Malte Algren (Universite de Geneve (CH))

Presentation materials