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FlashSim prototype: an end-to-end fast simulation using Normalizing Flow
We present a prototype of Flash-sim, a fast simulation for CMS analysis level event content (NANOAOD) based on Machine Learning. The Normalizing Flow technique is used to directly simulate reconstructed physics object information from generator level objects, skipping the full simulation and reconst...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2858890 |
_version_ | 1780977678701035520 |
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author | Vaselli, Francesco Rizzi, Andrea Cattafesta, Filippo Cicconofri, Gloria |
author_facet | Vaselli, Francesco Rizzi, Andrea Cattafesta, Filippo Cicconofri, Gloria |
author_sort | Vaselli, Francesco |
collection | CERN |
description | We present a prototype of Flash-sim, a fast simulation for CMS analysis level event
content (NANOAOD) based on Machine Learning. The Normalizing Flow technique
is used to directly simulate reconstructed physics object information from generator
level objects, skipping the full simulation and reconstruction. The results are presented as comparison between full and flash simulation of various observables and correlations between the observables |
id | cern-2858890 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2023 |
record_format | invenio |
spelling | cern-28588902023-10-17T14:50:38Zhttp://cds.cern.ch/record/2858890engVaselli, FrancescoRizzi, AndreaCattafesta, FilippoCicconofri, GloriaFlashSim prototype: an end-to-end fast simulation using Normalizing FlowDetectors and Experimental TechniquesWe present a prototype of Flash-sim, a fast simulation for CMS analysis level event content (NANOAOD) based on Machine Learning. The Normalizing Flow technique is used to directly simulate reconstructed physics object information from generator level objects, skipping the full simulation and reconstruction. The results are presented as comparison between full and flash simulation of various observables and correlations between the observablesCMS-NOTE-2023-003CERN-CMS-NOTE-2023-003oai:cds.cern.ch:28588902023-04-27 |
spellingShingle | Detectors and Experimental Techniques Vaselli, Francesco Rizzi, Andrea Cattafesta, Filippo Cicconofri, Gloria FlashSim prototype: an end-to-end fast simulation using Normalizing Flow |
title | FlashSim prototype: an end-to-end fast simulation using
Normalizing Flow |
title_full | FlashSim prototype: an end-to-end fast simulation using
Normalizing Flow |
title_fullStr | FlashSim prototype: an end-to-end fast simulation using
Normalizing Flow |
title_full_unstemmed | FlashSim prototype: an end-to-end fast simulation using
Normalizing Flow |
title_short | FlashSim prototype: an end-to-end fast simulation using
Normalizing Flow |
title_sort | flashsim prototype: an end-to-end fast simulation using
normalizing flow |
topic | Detectors and Experimental Techniques |
url | http://cds.cern.ch/record/2858890 |
work_keys_str_mv | AT vasellifrancesco flashsimprototypeanendtoendfastsimulationusingnormalizingflow AT rizziandrea flashsimprototypeanendtoendfastsimulationusingnormalizingflow AT cattafestafilippo flashsimprototypeanendtoendfastsimulationusingnormalizingflow AT cicconofrigloria flashsimprototypeanendtoendfastsimulationusingnormalizingflow |