Sten Åstrand
Doctoral student
A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
Author
Summary, in English
A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b-jet, c-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b-jets using tt¯→eμννbb data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks. © CERN for the benefit of the ATLAS Collaboration 2025.
Department/s
- Particle and nuclear physics
- eSSENCE: The e-Science Collaboration
- Department of Physics
Publishing year
2025
Language
English
Publication/Series
European Physical Journal C
Volume
85
Issue
11
Links
Document type
Journal article
Publisher
Springer Nature
Topic
- Subatomic Physics
Keywords
- Classification (of information)
- Colliding beam accelerators
- Fighter aircraft
- High energy physics
- Maps
- Microstrip devices
- Calibration procedure
- Continuous calibrations
- High-dimensional
- Higher-dimensional
- Large Hadron Collider
- Large-hadron colliders
- Optimal transportations
- Proton proton collisions
- Calibration
Status
Published
ISBN/ISSN/Other
- ISSN: 1434-6044