Published September 12, 2025
| Version v1
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Hadronic Jet Calibration & Particle Flow Networks
Authors/Creators
Contributors
Supervisor (2):
-
1.
European Organization for Nuclear Research
- 2. Vienna University of Technology
Description
We calibrate trigger jets in 2025 ATLAS data by training a particle flow neural network with a Gaussian ansatz. The network learns to predict calibrated offline jet-pt’s from selected jet features while at the same time improving the jet energy resolution both as pure outputs of the network.
Files
CERN_Project.pdf
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Additional details
CERN
- Department
- EP - Experimental Physics Department
- Programme
- CERN Short Term Internship Program
- Experiment
- ATLAS