Substrate‐Modulated Electromagnetic Resonances in Colloidal Cu 2 O Nanospheres

2020 ◽  
Vol 37 (6) ◽  
pp. 2000106
Author(s):  
Nannan Li ◽  
Hao Wang ◽  
Yunhe Lai ◽  
Huanjun Chen ◽  
Jianfang Wang
Keyword(s):  
Electromagnetic Resonances

Imaging of electromagnetic resonances in aYBa2Cu3O7−δbicrystal grain-boundary Josephson junction

1995 ◽  
Vol 52 (1) ◽  
pp. 93-96 ◽  
Author(s):  
T. Doderer ◽  
Y. M. Zhang ◽  
D. Winkler ◽  
R. Gross
Keyword(s):  
Grain Boundary ◽  
Josephson Junction ◽  
Electromagnetic Resonances

scholarly journals Electromagnetic resonances of a multilayer metal-dielectric stack

2009 ◽  
Vol 26 (4) ◽  
pp. 734 ◽  
Author(s):  
M. R. Gadsdon ◽  
J. Parsons ◽  
J. R. Sambles
Keyword(s):  
Electromagnetic Resonances ◽  
Multilayer Metal

Grating Enhanced Second Harmonic Generation Through Electromagnetic Resonances

1987 ◽  
Author(s):  
R. Reinisch ◽  
M. Neviere ◽  
H. Akhouayria ◽  
J-L. Coutaz ◽  
D. Maystre
Keyword(s):  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Electromagnetic Resonances

scholarly journals Gravito-electromagnetic resonances in Minkowski space

2013 ◽  
Vol 88 (4) ◽  
Author(s):  
Alexandros P. Kouretsis ◽  
Christos G. Tsagas
Keyword(s):  
Minkowski Space ◽  
Electromagnetic Resonances

Monte Carlo method for the reduction of measurement errors in the material parameter estimation with cavities

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ronny Peter ◽  
Luca Bifano ◽  
Gerhard Fischerauer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Errors ◽  
Input Data ◽  
Material Parameter ◽  
Cavity Resonator ◽  
Calculation Algorithm ◽  
The Monte Carlo Method ◽  
Electromagnetic Resonances

Abstract The quantitative determination of material parameter distributions in resonant cavities is a relatively new method for the real-time monitoring of chemical processes. For this purpose, electromagnetic resonances of the cavity resonator are used as input data for the reverse calculation (inversion). However, the reverse calculation algorithm is sensitive to disturbances of the input data, which produces measurement errors and tends to diverge, which leads to no measurement result at all. In this work a correction algorithm based on the Monte Carlo method is presented which ensures a convergent behavior of the reverse calculation algorithm.

scholarly journals Influence of Resonances on the Noise Performance of SQUID Susceptometers

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 204 ◽  
Author(s):  
Samantha I. Davis ◽  
John R. Kirtley ◽  
Kathryn A. Moler
Keyword(s):  
Quantum Interference ◽  
Noise Performance ◽  
Superconducting Quantum Interference Device ◽  
Noise Characteristics ◽  
Current Voltage ◽  
Electromagnetic Resonances ◽  
Current Voltage Characteristics ◽  
Local Magnetic Fields ◽  
Scanning Squid ◽  
Further Development

Scanning Superconducting Quantum Interference Device (SQUID) Susceptometry simultaneously images the local magnetic fields and susceptibilities above a sample with sub-micron spatial resolution. Further development of this technique requires a thorough understanding of the current, voltage, and flux ( I V Φ ) characteristics of scanning SQUID susceptometers. These sensors often have striking anomalies in their current–voltage characteristics, which we believe to be due to electromagnetic resonances. The effect of these resonances on the performance of these SQUIDs is unknown. To explore the origin and impact of the resonances, we develop a model that qualitatively reproduces the experimentally-determined I V Φ characteristics of our scanning SQUID susceptometers. We use this model to calculate the noise characteristics of SQUIDs of different designs. We find that the calculated ultimate flux noise is better in susceptometers with damping resistors that diminish the resonances than in susceptometers without damping resistors. Such calculations will enable the optimization of the signal-to-noise characteristics of scanning SQUID susceptometers.

Sign in / Sign up

Export Citation Format

Share Document