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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...

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Detalles Bibliográficos
Autores principales: Vaselli, Francesco, Rizzi, Andrea, Cattafesta, Filippo, Cicconofri, Gloria
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2858890
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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
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AT rizziandrea flashsimprototypeanendtoendfastsimulationusingnormalizingflow
AT cattafestafilippo flashsimprototypeanendtoendfastsimulationusingnormalizingflow
AT cicconofrigloria flashsimprototypeanendtoendfastsimulationusingnormalizingflow