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Keywords
(11)
Atomic Force Microscopy
Chemical Treatment
Fourier Analysis
Magnetic Field
Power Spectral Density
Radio Frequency
Scale Dependence
Surface Layer
Surface Topography
Buffered Chemical Polishing
Superconducting Radio Frequency
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A novel approach to characterizing the surface topography of niobium superconducting radio frequency (SRF) accelerator cavities
A novel approach to characterizing the surface topography of niobium superconducting radio frequency (SRF) accelerator cavities,10.1016/j.apsusc.2010.
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A novel approach to characterizing the surface topography of niobium superconducting radio frequency (SRF) accelerator cavities
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Hui Tian
,
Guilhem Ribeill
,
Chen Xu
,
Charles E. Reece
,
Michael J. Kelley
As superconducting niobium radio-frequency (SRF) cavities approach fundamental material limits, there is increased interest in understanding the details of topographical influences on realized performance limitations. Micro- and nano-roughness are implicated in both direct geometrical field enhancements as well as complications of the composition of the 50nm
surface layer
in which the super-currents typically flow. Interior surface chemical treatments such as
buffered chemical polishing
(BCP) and electropolishing (EP) used to remove mechanical damage leave surface topography, including pits and protrusions of varying sharpness. These may promote RF
magnetic field
entry, locally quenching superconductivity, so as to degrade cavity performance. A more incisive analysis of
surface topography
than the widely used average roughness is needed. In this study, a
power spectral density
(PSD) approach based on
Fourier analysis
of
surface topography
data acquired by both stylus profilometry and
atomic force microscopy
(AFM) is introduced to distinguish the scale-dependent smoothing effects, resulting in a novel qualitative and quantitative description of Nb surface topography. The topographical evolution of the Nb surface as a function of different steps of well-controlled EP is discussed. This study will greatly help to identify optimum EP parameter sets for controlled and reproducible surface levelling of Nb for cavity production.
Journal:
Applied Surface Science - APPL SURF SCI
, vol. 257, no. 11, pp. 4781-4786, 2011
DOI:
10.1016/j.apsusc.2010.11.159
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