Near-field surface plasmon microscopy: A numerical study of plasmon excitation, propagation, and edge interaction using a three-dimensional Gaussian beam

1999 ◽  
Vol 60 (11) ◽  
pp. 7812-7815 ◽  
Author(s):  
Fadi I. Baida ◽  
Daniel Van Labeke ◽  
Jean-Marie Vigoureux
Keyword(s):  
Gaussian Beam ◽  
Surface Plasmon ◽  
Numerical Study ◽  
Near Field ◽  
Three Dimensional ◽  
Plasmon Excitation ◽  
Surface Plasmon Microscopy ◽  
Excitation Propagation

scholarly journals Mapping the near-field spin angular momenta in the structured surface plasmon polariton field

Nanoscale ◽  
2020 ◽  
Vol 12 (25) ◽  
pp. 13674-13679
Author(s):  
C. C. Li ◽  
P. Shi ◽  
L. P. Du ◽  
X. C. Yuan
Keyword(s):  
Surface Plasmon ◽  
Surface Plasmon Polariton ◽  
Imaging Technique ◽  
Near Field ◽  
Three Dimensional ◽  
Experimental Result ◽  
Spin Component ◽  
Angular Momenta ◽  
Scanning Imaging ◽  
Plasmon Polaritons

An optical spin-resolved scanning imaging technique was proposed by which the normal to the interface spin component of surface plasmon polaritons can be mapped and the three-dimensional spin vector can be reconstructed with the experimental result.

Improvements in near-field optical performance using localized surface plasmon excitation by a scatterer-formed aperture

2003 ◽  
Vol 83 (6) ◽  
pp. 1083-1085 ◽  
Author(s):  
Kenji Tanaka ◽  
Hiroshi Hosaka ◽  
Kiyoshi Itao ◽  
Manabu Oumi ◽  
Takashi Niwa ◽  
...  
Keyword(s):  
Surface Plasmon ◽  
Near Field ◽  
Localized Surface Plasmon ◽  
Optical Performance ◽  
Plasmon Excitation ◽  
Surface Plasmon Excitation

Numerical Assessment of 2D Aeroacoustic Simulations for Landing Gear

2018 ◽  
Author(s):  
Sultan I. Alqash ◽  
Kamran Behdinan
Keyword(s):  
Acoustic Field ◽  
Numerical Study ◽  
Near Field ◽  
Three Dimensional ◽  
Aerodynamic Noise ◽  
Design Stage ◽  
Acoustic Analogy ◽  
Ansys Fluent ◽  
2D Flow ◽  
Field Noise

Landing gears (LG) are primarily designed to support the entire loads of an aircraft during landing, taxiing, and taking off. From aerodynamic design prospective, many of the LG components are exposed to the air flow giving rise to what so-called aerodynamic noise. Numerical study of complex systems such as LG as a three-dimensional (3D) model is not only CPU and memory consuming, but also it is way beyond the demand of industries for quick estimate during the design stage [1–3]. To understand the underlying physics of the flow induced noise, a two-dimensional (2D) flow past a circular cylinder is simulated using ANSYS Fluent. Two different Reynolds numbers, Re = 150 and 90000 are examined. For low Re, two distinct numerical conditions relevant to steady and unsteady flow are simulated and compared to examine the effect of the time dependency on the acoustic field. At high Re, the acoustic field is computed using the built-in Ffowcs William and Hawkings (FW-H) acoustic analogy solver in Fluent. The results show the importance of including the unsteady state term to extract the flow data. The far-field noise prediction is found to be highly dependent on the location of the near-field data.

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