• Open Access

Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces

Chen Xu, Charles E. Reece, and Michael J. Kelley
Phys. Rev. Accel. Beams 19, 033501 – Published 22 March 2016

Abstract

A simplified numerical model has been developed to simulate nonlinear superconducting radiofrequency (SRF) losses on Nb surfaces. This study focuses exclusively on excessive surface resistance (Rs) losses due to the microscopic topographical magnetic field enhancements. When the enhanced local surface magnetic field exceeds the superconducting critical transition magnetic field Hc, small volumes of surface material may become normal conducting and increase the effective surface resistance without inducing a quench. We seek to build an improved quantitative characterization of this qualitative model. Using topographic data from typical buffered chemical polish (BCP)- and electropolish (EP)-treated fine grain niobium, we have estimated the resulting field-dependent losses and extrapolated this model to the implications for cavity performance. The model predictions correspond well to the characteristic BCP versus EP high field Q0 performance differences for fine grain niobium. We describe the algorithm of the model, its limitations, and the effects of this nonlinear loss contribution on SRF cavity performance.

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  • Received 10 June 2014

DOI:https://doi.org/10.1103/PhysRevAccelBeams.19.033501

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Accelerators & Beams

Authors & Affiliations

Chen Xu1,2, Charles E. Reece1, and Michael J. Kelley1,2

  • 1Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
  • 2Department of Applied Science, The College of William & Mary, Williamsburg, Virginia 23185, USA

Article Text

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Issue

Vol. 19, Iss. 3 — March 2016

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