Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities

Microroughness is viewed as a critical issue for attaining optimum performance of superconducting radio frequency accelerator cavities. The principal surface smoothing methods are buffered chemical polish (BCP) and electropolish (EP). The resulting topography is characterized by atomic force microsc...

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Main Authors: Chen Xu, Hui Tian, Charles E. Reece, Michael J. Kelley
Format: Article
Language:English
Published: American Physical Society 2012-04-01
Series:Physical Review Special Topics. Accelerators and Beams
Online Access:http://doi.org/10.1103/PhysRevSTAB.15.043502
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spelling doaj-fae7169146b84407b4bf5049b628730a2020-11-25T02:13:59ZengAmerican Physical SocietyPhysical Review Special Topics. Accelerators and Beams1098-44022012-04-0115404350210.1103/PhysRevSTAB.15.043502Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavitiesChen XuHui TianCharles E. ReeceMichael J. KelleyMicroroughness is viewed as a critical issue for attaining optimum performance of superconducting radio frequency accelerator cavities. The principal surface smoothing methods are buffered chemical polish (BCP) and electropolish (EP). The resulting topography is characterized by atomic force microscopy (AFM). The power spectral density (PSD) of AFM data provides a more thorough description of the topography than a single-value roughness measurement. In this work, one dimensional average PSD functions derived from topography of BCP and EP with different controlled starting conditions and durations have been fitted with a combination of power law, K correlation, and shifted Gaussian models to extract characteristic parameters at different spatial harmonic scales. While the simplest characterizations of these data are not new, the systematic tracking of scale-specific roughness as a function of processing is new and offers feedback for tighter process prescriptions more knowledgably targeted at beneficial niobium topography for superconducting radio frequency applications.http://doi.org/10.1103/PhysRevSTAB.15.043502
collection DOAJ
language English
format Article
sources DOAJ
author Chen Xu
Hui Tian
Charles E. Reece
Michael J. Kelley
spellingShingle Chen Xu
Hui Tian
Charles E. Reece
Michael J. Kelley
Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
Physical Review Special Topics. Accelerators and Beams
author_facet Chen Xu
Hui Tian
Charles E. Reece
Michael J. Kelley
author_sort Chen Xu
title Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
title_short Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
title_full Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
title_fullStr Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
title_full_unstemmed Topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
title_sort topographic power spectral density study of the effect of surface treatment processes on niobium for superconducting radio frequency accelerator cavities
publisher American Physical Society
series Physical Review Special Topics. Accelerators and Beams
issn 1098-4402
publishDate 2012-04-01
description Microroughness is viewed as a critical issue for attaining optimum performance of superconducting radio frequency accelerator cavities. The principal surface smoothing methods are buffered chemical polish (BCP) and electropolish (EP). The resulting topography is characterized by atomic force microscopy (AFM). The power spectral density (PSD) of AFM data provides a more thorough description of the topography than a single-value roughness measurement. In this work, one dimensional average PSD functions derived from topography of BCP and EP with different controlled starting conditions and durations have been fitted with a combination of power law, K correlation, and shifted Gaussian models to extract characteristic parameters at different spatial harmonic scales. While the simplest characterizations of these data are not new, the systematic tracking of scale-specific roughness as a function of processing is new and offers feedback for tighter process prescriptions more knowledgably targeted at beneficial niobium topography for superconducting radio frequency applications.
url http://doi.org/10.1103/PhysRevSTAB.15.043502
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