Author: Hernández-Chahín, K.G.
Paper Title Page
TUPB014 In-situ Bulk Residual Resistivity Ratio Measurement on Double Quarter Wave Crab Cavities 415
 
  • N.C. Shipman, A. Castilla, K.G. Hernández-Chahín, A. Macpherson
    CERN, Geneva, Switzerland
  • I. Ben-Zvi
    BNL, Upton, Long Island, New York, USA
  • G. Burt, N.C. Shipman
    Cockcroft Institute, Lancaster University, Lancaster, United Kingdom
  • K.G. Hernández-Chahín
    Universidad de Guanajuato, División de Ciencias e Ingenierías, León, Mexico
  • J.A. Mitchell
    Lancaster University, Lancaster, United Kingdom
  • N.C. Shipman
    UMAN, Manchester, United Kingdom
 
  A four wire measurement was used to measure the bulk RRR on two DQW Crab Cavities. The measurement procedure is explained and the values obtained for each cavity are compared together with the values obtained from Niobium samples of the same stock from which the cavities were manufactured. Measurement errors and carefully analysed and further improvements to the measurement procedure are suggested.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2017-TUPB014  
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TUPB069 Rigorous Data Processing and Automatic Documentation of SRF Cold Tests 543
 
  • K.G. Hernández-Chahín
    Universidad de Guanajuato, División de Ciencias e Ingenierías, León, Mexico
  • S. Aull, P.F. Fernández López, K.G. Hernández-Chahín, N. Schwerg, N. Stapley
    CERN, Geneva, Switzerland
 
  Performance curves for SRF cavities are derived from primary quantities which are processed by software. Commonly, the mathematical implementation of this analysis is hidden in software such as Excel or LabVIEW, making it difficult to verify or to trace, while text-based programming like Python and MATLAB require some programming skills for review and use. As part of an initiative to consolidate and standardise SRF data analysis tools, we present a Python program converting a module containing the collection of all commonly used functions into a \LaTeX (PDF) document carrying all features of the implementation and allowing for a review by SRF experts, not programmers. The resulting document is the reference for non-experts, beginners and test stand operators. The module is imported in any subsequent processing and analysis steps like the symbolic analysis of the measurement uncertainties or the study of sensitivities. As an additional layer of protection the functions can be further wrapped including assertions, type and sanity checks. This process maximises function reuse, reduces the risk of human errors and guarantees automatically validated and documented cold test results.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-SRF2017-TUPB069  
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