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MD3343 - Fully-Automatic Parallel Collimation Alignment using Machine Learning
The collimation system protects the LHC and its sensitive equipment form unavoidable beam losses. Collimators are set up in the form of a hierarchy which is established using a very precise alignment of all the collimators with respect to the beam. In the past years collimators were aligned using a...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2647213 |
Sumario: | The collimation system protects the LHC and its sensitive equipment form unavoidable beam losses. Collimators are set up in the form of a hierarchy which is established using a very precise alignment of all the collimators with respect to the beam. In the past years collimators were aligned using a semi-automatic approach whereby collimation experts manually control the alignment of both beams in parallel. During commissioning 2018, the first version of the fully-automatic software was tested. The first version of this software did not account for crosstalk between the beams, therefore the two beams had to be aligned sequentially. After commissioning, a crosstalk analysis model was developed and integrated into the fully-automatic software. The new parallel software was tested during this MD and managed to successfully align both beams in parallel at injection for the first time. |
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