Lancierini, D. and Owen, P. and Serra, N. (2019) Simulating the LHCb hadron calorimeter with generative adversarial networks. Il nuovo cimento C, 42 (4). pp. 1-4. ISSN 1826-9885
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Official URL: https://www.sif.it/riviste/sif/ncc/econtents/2019/...
Abstract
Generative adversarial networks are known as a tool for fast simulation of data. Our aim is to research and develop a physical application of these tools by simulating LHCb hadron calorimeter (HCAL) in order to speed up the Monte Carlo datasets production.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 21 Dec 2020 13:32 |
| Last Modified: | 21 Dec 2020 13:32 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/20601 |
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