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A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations

Resonant slow extraction is used at the Super Proton Synchrotron (SPS) for the extraction of a beam of particles by exciting a 1/3rd integer resonance. A stable flux of particles is necessary for the correct functioning of the particles' detection process. However, the variations in power conv...

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Autor principal: Mignacco, Chiara
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2834365
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author Mignacco, Chiara
author_facet Mignacco, Chiara
author_sort Mignacco, Chiara
collection CERN
description Resonant slow extraction is used at the Super Proton Synchrotron (SPS) for the extraction of a beam of particles by exciting a 1/3rd integer resonance. A stable flux of particles is necessary for the correct functioning of the particles' detection process. However, the variations in power converter currents introduce ripples which are responsible for the harmonics present on the extracted beam profile and potentially introduce discontinuities in the flux. In this project, we will model how perturbations in the machine parameters affect the spill of particles, as a function of time, while keeping the computational cost minimal.
id cern-2834365
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28343652022-10-17T15:00:46Zhttp://cds.cern.ch/record/2834365engMignacco, ChiaraA probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulationsMathematical Physics and MathematicsAccelerators and Storage RingsResonant slow extraction is used at the Super Proton Synchrotron (SPS) for the extraction of a beam of particles by exciting a 1/3rd integer resonance. A stable flux of particles is necessary for the correct functioning of the particles' detection process. However, the variations in power converter currents introduce ripples which are responsible for the harmonics present on the extracted beam profile and potentially introduce discontinuities in the flux. In this project, we will model how perturbations in the machine parameters affect the spill of particles, as a function of time, while keeping the computational cost minimal.CERN-STUDENTS-Note-2022-171oai:cds.cern.ch:28343652022-09-24
spellingShingle Mathematical Physics and Mathematics
Accelerators and Storage Rings
Mignacco, Chiara
A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title_full A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title_fullStr A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title_full_unstemmed A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title_short A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations
title_sort probabilistic model of sps slow extraction: s simplified approach for efficient spill quality simulations
topic Mathematical Physics and Mathematics
Accelerators and Storage Rings
url http://cds.cern.ch/record/2834365
work_keys_str_mv AT mignaccochiara aprobabilisticmodelofspsslowextractionssimplifiedapproachforefficientspillqualitysimulations
AT mignaccochiara probabilisticmodelofspsslowextractionssimplifiedapproachforefficientspillqualitysimulations