Corchia, F. A. G. and Rinaldi, L. (2025) Advanced computational techniques for fast simulation of the ATLAS experiment calorimeter. Il nuovo cimento C, 48 (3). pp. 1-5. ISSN 1826-9885
|
Text
ncc13271.pdf - Published Version Download (181kB) | Preview |
Abstract
Detector simulation uses the largest amount of computational resources of the ATLAS experiment at the LHC. About 80% of allocated resources are used for the simulation of calorimeters. Action to ease this burden is required, also in view of High Luminosity-LHC. This work presents two solutions in continuous development within the Collaboration. The first one foresees usage and development of fast simulation tools, which result in a faster simulation of the calorimeter response and with a smaller resource footprint with respect to traditional tools; this solution includes using techniques based on Machine Learning. The second stategy envisages the deployment of fast simulation training to resources external to CERN, including cutting-edge supercomputers like Leonardo at CINECA in Bologna.
| Item Type: | Article |
|---|---|
| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Jul 2025 14:22 |
| Last Modified: | 10 Jul 2025 14:22 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23633 |
Actions (login required)
 |
View Item |
