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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

FastCaloGAN: a fast simulation of the ATLAS Calorimeter with GANs

May 8, 2023, 3:15 PM
Hampton Roads VII (Norfolk Waterside Marriott)

Hampton Roads VII

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 9 - Artificial Intelligence and Machine Learning Track 9 - Artificial Intelligence and Machine Learning


Giannelli, Michele Faucci (INFN Roma Tor Vergata and Universita' di Roma Tor Vergata)


AtlFast3 is the new ATLAS fast simulation that exploits a wide range of ML techniques to achieve high-precision fast simulation. The latest version of the AtlFast3 used in Run3 deploys FastCaloGANV2 which consists of 500 Generative Adversarial Networks used to simulate the showers of all particles in the ATLAS calorimeter system. The Muon Punch Through tool has also been completely rewritten using deep NN for the classification of events. An additional deep network is used to predict and correct the longitudinal position of the hits in the calorimeter layer based on the energy deposited by each shower in the calorimeter layers. These tools have been instrumental in improving the performance of AtlFast3.

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