Published September 3, 2021
| Version v1
Technical note
Open
Improving FastCaloGAN Simulation of Pion Calorimeter Showers
Contributors
Supervisor:
Description
FastCaloGAN uses unsupervised machine learning techniques to provide a fast simulation of the full ATLAS calorimeter system. In this project, the effects of modifying various elements of the FastCaloGAN's architecture were studied and this report describes some of the most successful modifications. Overall, we were able to achieve significantly better performance with greatly reduced computational resources.
Files
FastCaloGAN Project Report.pdf
Files
(448.7 kB)
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Additional details
Identifiers
- CDS Report Number
- CERN-STUDENTS-Note-2021-121
CERN
- Department
- EP - Experimental Physics Department
- Experiment
- ATLAS