Cargando…

Statistical analysis of operational data of the GTS-LHC ion source

The GTS-LHC ECR ion source delivers ion species for the physics programme of the CERN accelerator complex. Stability and reproducibility are key parameters for a successful operation. Therefore the source requires regularly intervention by an expert. The integrated functionality of data logging in t...

Descripción completa

Detalles Bibliográficos
Autores principales: Küchler, D, Mihailescu, M
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2244/1/012022
http://cds.cern.ch/record/2825281
_version_ 1780973764661477376
author Küchler, D
Mihailescu, M
author_facet Küchler, D
Mihailescu, M
author_sort Küchler, D
collection CERN
description The GTS-LHC ECR ion source delivers ion species for the physics programme of the CERN accelerator complex. Stability and reproducibility are key parameters for a successful operation. Therefore the source requires regularly intervention by an expert. The integrated functionality of data logging in the control system of the CERN accelerator complex allows to store all relevant control values and beam properties for the different machines. For the years 2015, 2016 and 2018, the data for the lead ion operation of the GTS-LHC ion source were extracted from the logging and treated with various statistical methods to identify recurring patterns in the operational settings of the source. If such patterns exist, they may be used in the future for the control of the source by semi-automatic feedback loops. The main study performed was based on a cluster analysis using the Optigrid algorithm, which is well suited for problems with a high number of parameters. The algorithm and selected results considering some operational aspects and ideas on further studies are presented.
id cern-2825281
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28252812022-08-25T20:43:30Zdoi:10.1088/1742-6596/2244/1/012022http://cds.cern.ch/record/2825281engKüchler, DMihailescu, MStatistical analysis of operational data of the GTS-LHC ion sourceAccelerators and Storage RingsThe GTS-LHC ECR ion source delivers ion species for the physics programme of the CERN accelerator complex. Stability and reproducibility are key parameters for a successful operation. Therefore the source requires regularly intervention by an expert. The integrated functionality of data logging in the control system of the CERN accelerator complex allows to store all relevant control values and beam properties for the different machines. For the years 2015, 2016 and 2018, the data for the lead ion operation of the GTS-LHC ion source were extracted from the logging and treated with various statistical methods to identify recurring patterns in the operational settings of the source. If such patterns exist, they may be used in the future for the control of the source by semi-automatic feedback loops. The main study performed was based on a cluster analysis using the Optigrid algorithm, which is well suited for problems with a high number of parameters. The algorithm and selected results considering some operational aspects and ideas on further studies are presented.oai:cds.cern.ch:28252812022
spellingShingle Accelerators and Storage Rings
Küchler, D
Mihailescu, M
Statistical analysis of operational data of the GTS-LHC ion source
title Statistical analysis of operational data of the GTS-LHC ion source
title_full Statistical analysis of operational data of the GTS-LHC ion source
title_fullStr Statistical analysis of operational data of the GTS-LHC ion source
title_full_unstemmed Statistical analysis of operational data of the GTS-LHC ion source
title_short Statistical analysis of operational data of the GTS-LHC ion source
title_sort statistical analysis of operational data of the gts-lhc ion source
topic Accelerators and Storage Rings
url https://dx.doi.org/10.1088/1742-6596/2244/1/012022
http://cds.cern.ch/record/2825281
work_keys_str_mv AT kuchlerd statisticalanalysisofoperationaldataofthegtslhcionsource
AT mihailescum statisticalanalysisofoperationaldataofthegtslhcionsource