Open AccessStatistical analysis of operational data of the GTS-LHC ion source
Author(s) -
D Küchler,
M Mihailescu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2244/1/012022
Subject(s) - large hadron collider , ion source , computer science , key (lock) , data source , systems engineering , ion , operating system , nuclear physics , physics , engineering , data mining , quantum mechanics
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.