Weighted statistics for unevenly spaced SEM-grids on Linac4 line.

A beam profile may be measured in several ways [1]. Independent of the method chosen, the agreement between the simulation and measurements need to be accurate enough to minimize errors. In order to improve this comparison, we introduce new beam size estimators based in weighted statistics. We show...

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Detalles Bibliográficos
Autores principales: Granemann Souza, E, Lizarraga, C A V, Lombardi, A, Comblin, J-F
Lenguaje:eng
Publicado: 2013
Materias:
Accelerators and Storage Rings
Acceso en línea:http://cds.cern.ch/record/1625185
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author Granemann Souza, E
Lizarraga, C A V
Lombardi, A
Comblin, J-F
author_facet Granemann Souza, E
Lizarraga, C A V
Lombardi, A
Comblin, J-F
author_sort Granemann Souza, E
collection CERN
description A beam profile may be measured in several ways [1]. Independent of the method chosen, the agreement between the simulation and measurements need to be accurate enough to minimize errors. In order to improve this comparison, we introduce new beam size estimators based in weighted statistics. We show that, for the situations in which the SEM-grid wires are unevenly spaced, the weighted standard deviation reveal us as an efficient alternative for determine the beam rms size. These theoretical predictions, implemented in the java application Linac4 SEM-grids 1.0, are than compared with measurements of the Linac4 line showing the pros and cons together with Gaussian fittings.
id cern-1625185
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
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spelling cern-16251852023-08-04T20:25:51Zhttp://cds.cern.ch/record/1625185engGranemann Souza, ELizarraga, C A VLombardi, AComblin, J-FWeighted statistics for unevenly spaced SEM-grids on Linac4 line.Accelerators and Storage RingsA beam profile may be measured in several ways [1]. Independent of the method chosen, the agreement between the simulation and measurements need to be accurate enough to minimize errors. In order to improve this comparison, we introduce new beam size estimators based in weighted statistics. We show that, for the situations in which the SEM-grid wires are unevenly spaced, the weighted standard deviation reveal us as an efficient alternative for determine the beam rms size. These theoretical predictions, implemented in the java application Linac4 SEM-grids 1.0, are than compared with measurements of the Linac4 line showing the pros and cons together with Gaussian fittings. CERN-ACC-Note-2013-0034oai:cds.cern.ch:16251852013-11-06
spellingShingle Accelerators and Storage Rings
Granemann Souza, E
Lizarraga, C A V
Lombardi, A
Comblin, J-F
Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title_full Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title_fullStr Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title_full_unstemmed Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title_short Weighted statistics for unevenly spaced SEM-grids on Linac4 line.
title_sort weighted statistics for unevenly spaced sem-grids on linac4 line.
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/1625185
work_keys_str_mv AT granemannsouzae weightedstatisticsforunevenlyspacedsemgridsonlinac4line
AT lizarragacav weightedstatisticsforunevenlyspacedsemgridsonlinac4line
AT lombardia weightedstatisticsforunevenlyspacedsemgridsonlinac4line
AT comblinjf weightedstatisticsforunevenlyspacedsemgridsonlinac4line

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