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RIS citation export for TUP030: Automation of Particulate Characterization

TY  - CONF
AU  - Spradlin, J.K.
AU  - Reece, C.E.
AU  - Trofimova, O.
AU  - Valente-Feliciano, A-M.
ED  - Michel, Peter
ED  - Arnold, André
ED  - Schaa, Volker RW
TI  - Automation of Particulate Characterization
J2  - Proc. of SRF2019, Dresden, Germany, 30 June-05 July 2019
CY  - Dresden, Germany
T2  - International Conference on RF Superconductivity
T3  - 19
LA  - english
AB  - Foreign particles residing on the field carrying surface of accelerator cavities are a known mechanism for field emission. Developing the methods and tools for collecting and characterizing particles found in an accelerator enables process development towards field emission free SRF cavities. Methods are presented for sampling assemblies, components, processes, and environmental conditions utilizing forensic techniques with specialized tooling. Sampling activities to date have produced an inventory of over 850 GSR spindles. Traditional SEM + EDS analysis of this volume of spindles is challenged by labor investment, spindle sampling methods, and the subsequent data pipeline which ultimately results in a statically inadequate dataset for any particulate distribution characterization. A complete systematic analysis of the spindles is enabled by third party software controlling SEM automation for EDS data acquisition. Details of spindle creation, collection equipment, component sampling, automating particle assessment, and data analysis used to characterize samples from beamline elements in CEBAF are presented.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 477
EP  - 481
KW  - controls
KW  - cavity
KW  - software
KW  - SRF
KW  - electron
DA  - 2019/08
PY  - 2019
SN  - ""
SN  - 978-3-95450-211-0
DO  - doi:10.18429/JACoW-SRF2019-TUP030
UR  - http://jacow.org/srf2019/papers/tup030.pdf
ER  -