Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces
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. Lastly, we describe the algorithm of the model, its limitations, and the effects of this nonlinear loss contribution on SRF cavity performance.
- Authors:
- Publication Date:
- Research Org.:
- Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP)
- OSTI Identifier:
- 1242876
- Alternate Identifier(s):
- OSTI ID: 1244079
- Report Number(s):
- JLAB-ACC-14-1882; DOE/OR/23177-3069; arXiv:1406.7276
Journal ID: ISSN 2469-9888; PRABFM; 033501
- Grant/Contract Number:
- AC05-06OR23177
- Resource Type:
- Published Article
- Journal Name:
- Physical Review Accelerators and Beams
- Additional Journal Information:
- Journal Volume: 19; Journal Issue: 3; Journal ID: ISSN 2469-9888
- Publisher:
- American Physical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Citation Formats
Xu, Chen, Reece, Charles E., and Kelley, Michael J. Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces. United States: N. p., 2016.
Web. doi:10.1103/PhysRevAccelBeams.19.033501.
Xu, Chen, Reece, Charles E., & Kelley, Michael J. Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces. United States. https://doi.org/10.1103/PhysRevAccelBeams.19.033501
Xu, Chen, Reece, Charles E., and Kelley, Michael J. Tue .
"Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces". United States. https://doi.org/10.1103/PhysRevAccelBeams.19.033501.
@article{osti_1242876,
title = {Simulation of nonlinear superconducting rf losses derived from characteristic topography of etched and electropolished niobium surfaces},
author = {Xu, Chen and Reece, Charles E. and Kelley, Michael J.},
abstractNote = {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. Lastly, we describe the algorithm of the model, its limitations, and the effects of this nonlinear loss contribution on SRF cavity performance.},
doi = {10.1103/PhysRevAccelBeams.19.033501},
journal = {Physical Review Accelerators and Beams},
number = 3,
volume = 19,
place = {United States},
year = {Tue Mar 22 00:00:00 EDT 2016},
month = {Tue Mar 22 00:00:00 EDT 2016}
}
https://doi.org/10.1103/PhysRevAccelBeams.19.033501
Web of Science
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