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MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning

A complex collimation system is installed in the LHC to protect its sensitive equipment from unavoidable beam losses. An alignment procedure is used to position collimators close to the beam in the form of a hierarchy. Collimators are regularly aligned assuming no tilt between the collimator and the...

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Autores principales: Azzopardi, Gabriella, Valentino, Gianluca, Salvachua Ferrando, Belen Maria
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2652148
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author Azzopardi, Gabriella
Valentino, Gianluca
Salvachua Ferrando, Belen Maria
author_facet Azzopardi, Gabriella
Valentino, Gianluca
Salvachua Ferrando, Belen Maria
author_sort Azzopardi, Gabriella
collection CERN
description A complex collimation system is installed in the LHC to protect its sensitive equipment from unavoidable beam losses. An alignment procedure is used to position collimators close to the beam in the form of a hierarchy. Collimators are regularly aligned assuming no tilt between the collimator and the beam, however, tank misalignments or beam envelope angles at large-divergence locations could introduce a tilt limiting the collimation performance. Three semi-automatic angular alignment methods were introduced in an MD in 2017, however the results were not reproducible due to the number of misalignments that occurred. These methods have now been fully-automated and were successfully tested during this MD as they managed to determine the most optimal angle for each collimator without experiencing any misalignments.
id cern-2652148
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling cern-26521482019-09-30T06:29:59Zhttp://cds.cern.ch/record/2652148engAzzopardi, GabriellaValentino, GianlucaSalvachua Ferrando, Belen MariaMD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine LearningAccelerators and Storage RingsA complex collimation system is installed in the LHC to protect its sensitive equipment from unavoidable beam losses. An alignment procedure is used to position collimators close to the beam in the form of a hierarchy. Collimators are regularly aligned assuming no tilt between the collimator and the beam, however, tank misalignments or beam envelope angles at large-divergence locations could introduce a tilt limiting the collimation performance. Three semi-automatic angular alignment methods were introduced in an MD in 2017, however the results were not reproducible due to the number of misalignments that occurred. These methods have now been fully-automated and were successfully tested during this MD as they managed to determine the most optimal angle for each collimator without experiencing any misalignments.CERN-ACC-NOTE-2018-0083oai:cds.cern.ch:26521482018-10-27
spellingShingle Accelerators and Storage Rings
Azzopardi, Gabriella
Valentino, Gianluca
Salvachua Ferrando, Belen Maria
MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title_full MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title_fullStr MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title_full_unstemmed MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title_short MD3344 - Fully-Automatic Angular Alignment of LHC Collimators using Machine Learning
title_sort md3344 - fully-automatic angular alignment of lhc collimators using machine learning
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/2652148
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AT valentinogianluca md3344fullyautomaticangularalignmentoflhccollimatorsusingmachinelearning
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