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S-shape correction using a neural network

A neural network can be used to fit the S-shape corrections in the measurement of eta in the ATLAS electromagnetic calorimeter. Various learning methods are compared.

Detalles Bibliográficos
Autor principal: Schwindling, J
Lenguaje:eng
Publicado: 1998
Materias:
Acceso en línea:http://cds.cern.ch/record/683711
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author Schwindling, J
author_facet Schwindling, J
author_sort Schwindling, J
collection CERN
description A neural network can be used to fit the S-shape corrections in the measurement of eta in the ATLAS electromagnetic calorimeter. Various learning methods are compared.
id cern-683711
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1998
record_format invenio
spelling cern-6837112019-09-30T06:29:59Zhttp://cds.cern.ch/record/683711engSchwindling, JS-shape correction using a neural networkDetectors and Experimental TechniquesA neural network can be used to fit the S-shape corrections in the measurement of eta in the ATLAS electromagnetic calorimeter. Various learning methods are compared.ATL-LARG-98-104oai:cds.cern.ch:6837111998-09-22
spellingShingle Detectors and Experimental Techniques
Schwindling, J
S-shape correction using a neural network
title S-shape correction using a neural network
title_full S-shape correction using a neural network
title_fullStr S-shape correction using a neural network
title_full_unstemmed S-shape correction using a neural network
title_short S-shape correction using a neural network
title_sort s-shape correction using a neural network
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/683711
work_keys_str_mv AT schwindlingj sshapecorrectionusinganeuralnetwork