ANALYSIS OF DATA FROM THE LEDA WIRE SCANNER/HALO SCRAPER Metadata
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Title
- Main Title ANALYSIS OF DATA FROM THE LEDA WIRE SCANNER/HALO SCRAPER
Creator
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Author: KAMPERSCHROER, J.Creator Type: Personal
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Author: O'HARA, J.Creator Type: Personal
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Author: A, ETCreator Type: Personal
Contributor
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Sponsor: United States. Department of Energy.Contributor Type: OrganizationContributor Info: US Department of Energy (United States)
Publisher
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Name: Los Alamos National LaboratoryPlace of Publication: New MexicoAdditional Info: Los Alamos National Lab., NM (United States)
Date
- Creation: 2001-05-01
Language
- English
Description
- Content Description: A new diagnostic has been designed and commissioned that measures the profile of the beam in the halo channel of the Low Energy Demonstration Accelerator at the Los Alamos National Laboratory. This paper describes the algorithms written to analyze the data from that diagnostic, a combined wire scanner and halo scraper. These algorithms determine the safe insertions limit of the scrapers, spatially differentiate the scraper signal, amalgamate the wire scanner data with the differentiated scraper data, determine when both the core and combined distributions rise above the noise floor, and compute the moments of the combined distribution. Results of applying the algorithms to data acquired during experiments matching the beam into the halo channel are presented.
- Physical Description: 114 Kilobytes pages
Subject
- Keyword: Data Analysis
- Keyword: Distribution
- STI Subject Categories: 43 Particle Accelerators
- Keyword: Lanl
- Keyword: Beam Monitors
- Keyword: Diagnostic Techniques
- Keyword: Algorithms
- Keyword: Accelerators
- Keyword: Beam Profiles
Source
- Conference: Conference title not supplied, Conference location not supplied, Conference dates not supplied
Collection
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Name: Office of Scientific & Technical Information Technical ReportsCode: OSTI
Institution
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Name: UNT Libraries Government Documents DepartmentCode: UNTGD
Resource Type
- Article
Format
- Text
Identifier
- Report No.: LA-UR-01-2672
- Grant Number: W-7405-ENG-36
- Office of Scientific & Technical Information Report Number: 781005
- Archival Resource Key: ark:/67531/metadc715887