Keyword: monitoring
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THP046 Magnetic Field Mapping System for Cornell Sample Host Cavity cavity, SRF, cryomodule, radio-frequency 961
 
  • S.N. Lobo, M. Liepe, T.E. Oseroff
    Cornell University (CLASSE), Cornell Laboratory for Accelerator-Based Sciences and Education, Ithaca, New York, USA
 
  Funding: Cornell Laboratory for Accelerator-Based Sciences and Education
Dissipation due to flux trapping is a persistent problem experienced in SRF cavity testing and cryomodule operation. This work addresses accurately and cheaply measuring magnetic fields in a cryostat without using delicate and expensive fluxgate magnetometers. Anisotropic Magnetoresistive (AMR) magnetic field sensors were investigated for the detection of small fields in a cryogenic environment. Initial development of instrumentation using 16 AMR sensors is presented for the purpose of measuring magnetic fields perpendicular the normal of a 5" diameter sample plate on the Cornell sample host cavity.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-THP046  
About • paper received ※ 29 June 2019       paper accepted ※ 01 July 2019       issue date ※ 14 August 2019  
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THP052 Pansophy Enhancements for SRF Through Collecting and Analyzing Inputs/Outputs to Further Project Efficiency in Reporting and Performance cryomodule, cavity, status, feedback 988
 
  • V.D. Bookwalter, M. Dickey, M.G. McDonald, E.A. McEwen
    JLab, Newport News, Virginia, USA
 
  SRF Cavity and Cryomodule testing and production requires a consistent means of collecting and analyzing data against quality and production parameters. JLab’s engineering data management system, Pansophy, is utilized to assist project leaders and subject matter experts (SMEs) with such tasks, by providing a means to data mine key parameter indicators (KPI) and production planning and status data. Recent enhancements to reporting and trending have been utilized for the LCLS-II and CEBAF 12 GeV upgrade projects. Further enhancements are being planned for future projects, like SNS-PPU, such as KPI trending, KPI quality, vendor quality, production timelines and user defined queries. Being able to understand past trends will assist with enhancements to future projects.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2019-THP052  
About • paper received ※ 21 June 2019       paper accepted ※ 03 July 2019       issue date ※ 14 August 2019  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)