Evaluation of the closest tune approach and its MAD-X implementation

The closest tune approach (ΔQmin) is a measure of the transverse coupling in an accelerator. The current method for evaluating the ΔQmin in MAD-X based on tune matching is time consuming and can have issues with convergence. We first review existing analytical estimates of ΔQmin to assess their accur...

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Detalles Bibliográficos
Autores principales: Hoydalsvik, Eirik Jaccheri, Persson, Tobias Hakan Bjorn, Tomas Garcia, Rogelio
Lenguaje:eng
Publicado: 2021
Materias:
Accelerators and Storage Rings
Acceso en línea:http://cds.cern.ch/record/2778887
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author Hoydalsvik, Eirik Jaccheri
Persson, Tobias Hakan Bjorn
Tomas Garcia, Rogelio
author_facet Hoydalsvik, Eirik Jaccheri
Persson, Tobias Hakan Bjorn
Tomas Garcia, Rogelio
author_sort Hoydalsvik, Eirik Jaccheri
collection CERN
description The closest tune approach (ΔQmin) is a measure of the transverse coupling in an accelerator. The current method for evaluating the ΔQmin in MAD-X based on tune matching is time consuming and can have issues with convergence. We first review existing analytical estimates of ΔQmin to assess their accuracy. A new analytical estimate is also proposed, which features the best performance. This new estimate is included in version 5.07.01 of MAD-X. Correction of the transverse coupling based on the minimization of this new estimate shows improved performance in terms of resulting correction level and CPU time.
id cern-2778887
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27788872021-09-08T19:32:32Zhttp://cds.cern.ch/record/2778887engHoydalsvik, Eirik JaccheriPersson, Tobias Hakan BjornTomas Garcia, RogelioEvaluation of the closest tune approach and its MAD-X implementationAccelerators and Storage RingsThe closest tune approach (ΔQmin) is a measure of the transverse coupling in an accelerator. The current method for evaluating the ΔQmin in MAD-X based on tune matching is time consuming and can have issues with convergence. We first review existing analytical estimates of ΔQmin to assess their accuracy. A new analytical estimate is also proposed, which features the best performance. This new estimate is included in version 5.07.01 of MAD-X. Correction of the transverse coupling based on the minimization of this new estimate shows improved performance in terms of resulting correction level and CPU time.CERN-ACC-NOTE-2021-0022oai:cds.cern.ch:27788872021-08-20
spellingShingle Accelerators and Storage Rings
Hoydalsvik, Eirik Jaccheri
Persson, Tobias Hakan Bjorn
Tomas Garcia, Rogelio
Evaluation of the closest tune approach and its MAD-X implementation
title Evaluation of the closest tune approach and its MAD-X implementation
title_full Evaluation of the closest tune approach and its MAD-X implementation
title_fullStr Evaluation of the closest tune approach and its MAD-X implementation
title_full_unstemmed Evaluation of the closest tune approach and its MAD-X implementation
title_short Evaluation of the closest tune approach and its MAD-X implementation
title_sort evaluation of the closest tune approach and its mad-x implementation
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/2778887
work_keys_str_mv AT hoydalsvikeirikjaccheri evaluationoftheclosesttuneapproachanditsmadximplementation
AT perssontobiashakanbjorn evaluationoftheclosesttuneapproachanditsmadximplementation
AT tomasgarciarogelio evaluationoftheclosesttuneapproachanditsmadximplementation

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