scholarly journals Q-factor measurement by using a Vector Network Analyser

2022 ◽  
Author(s):  
A P Gregory
Keyword(s):  
Q Factor ◽  
Factor Measurement ◽  
Network Analyser

scholarly journals Improvement of the Q-factor measurement in RF cavities

2012 ◽  
Author(s):  
Xu W. ◽  
S. Belomestnykh ◽  
I. Ben-Zvi ◽  
H. Hahn
Keyword(s):  
Q Factor ◽  
Rf Cavities ◽  
Factor Measurement

scholarly journals Q-factor measurement of nonlinear superconducting resonators

2000 ◽  
Vol 36 (3) ◽  
pp. 271 ◽  
Author(s):  
X.S. Rao ◽  
C.K. Ong ◽  
Y.P. Feng
Keyword(s):  
Q Factor ◽  
Superconducting Resonators ◽  
Factor Measurement

A-posteriori Estimation of Random Uncertainty for the Reflection Type Q-factor Measurements

2020 ◽  
Vol 35 (10) ◽  
pp. 1105-1112
Author(s):  
Darko Kajfez
Keyword(s):  
Measurement Procedure ◽  
Q Factor ◽  
A Posteriori ◽  
Fitting Procedure ◽  
Uncertainty Estimates ◽  
Factor Measurement ◽  
Novel Method ◽  
Accuracy Of Results ◽  
Q Factors ◽  
Posteriori Estimation

A frequently used Q factor measurement procedure consists of determining the values of the input reflection coefficient vs. frequency with the use of a network analyzer, and processing the measured values with a data-fitting procedure to evaluate the location and the size of the corresponding Q-circle. That information is then used to compute the value of the loaded and unloaded Q factors and the coupling coefficient of the resonator being tested. This paper describes a novel method of post-processing the measured data, which also provides information on the uncertainty of the obtained results. Numerical examples show that this a-posteriori procedure can not only provide the uncertainty estimates but also improve the accuracy of results, even in the presence of a significant level of random measurement noise.

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