Journal Article

GSI-2018-00937

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Compression and noise reduction of field maps

Du, X. (Corresponding author) ; Groening, L.GSI*

2018
American Physical Society College Park, MD

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Please use a persistent id in citations: doi:10.1103/PhysRevAccelBeams.21.084601  doi:10.15120/GSI-2018-00937

Abstract: Errors from discretization and large data volume of field maps is a concern for beam dynamics simulations with respect to achievable accuracy and to the required amount of time. High-order singular value decomposition (HOSVD) has recently emerged as simple, effective, and adaptive tool to extract the essentials from multidimensional data. This paper is on the feasibility of compression and noise reduction of electromagnetic field map data with HOSVD. The method has been applied to an electric field map of a DTL cavity with 11 m in length comprising 55 rf-gaps. The original field map data of 220 MB was converted into practically noise-free data of just 20 KB. Noise was reduced by 95% as demonstrated using a cubic cavity for which the analytical field map is available.

Note: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

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Contributing Institute(s):

1. UNILAC Post Stripper Upgrade (PSU)

Research Program(s):

1. 631 - Accelerator R & D (POF3-631) (POF3-631)

Appears in the scientific report 2018

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Database coverage:
; ; ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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