ECAL SuperClustering with Machine Learning

In this note, we present a novel electron/photon super-clustering algorithm based on Graph Neural Networks (GNN). This new approach has much better resolution and better energy purity even at high pile-up compared to the algorithm used during Run 2.

Detalles Bibliográficos
Autor principal: CMS Collaboration
Lenguaje:eng
Publicado: 2021
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2792321
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author CMS Collaboration
author_facet CMS Collaboration
author_sort CMS Collaboration
collection CERN
description In this note, we present a novel electron/photon super-clustering algorithm based on Graph Neural Networks (GNN). This new approach has much better resolution and better energy purity even at high pile-up compared to the algorithm used during Run 2.
id cern-2792321
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27923212022-05-19T18:54:28Zhttp://cds.cern.ch/record/2792321engCMS CollaborationECAL SuperClustering with Machine LearningDetectors and Experimental TechniquesIn this note, we present a novel electron/photon super-clustering algorithm based on Graph Neural Networks (GNN). This new approach has much better resolution and better energy purity even at high pile-up compared to the algorithm used during Run 2.CMS-DP-2021-032CERN-CMS-DP-2021-032oai:cds.cern.ch:27923212021-11-28
spellingShingle Detectors and Experimental Techniques
CMS Collaboration
ECAL SuperClustering with Machine Learning
title ECAL SuperClustering with Machine Learning
title_full ECAL SuperClustering with Machine Learning
title_fullStr ECAL SuperClustering with Machine Learning
title_full_unstemmed ECAL SuperClustering with Machine Learning
title_short ECAL SuperClustering with Machine Learning
title_sort ecal superclustering with machine learning
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2792321
work_keys_str_mv AT cmscollaboration ecalsuperclusteringwithmachinelearning

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