Surface Scattering
Surface Scattering in KostaCLOUD
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Surface Scattering in KostaCLOUD
Last updated
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Used for extremely diffusive surfaces. Perfect hemispherical scatter distribution.
Isotropic Surface Roughness
Ideal Diffuser.
Only valid for perfectly diffusing materials.
Where , where R is the reflectivity of the sample.
These values below were provided by the reference below, and re-presented here. These values are built into the "Simplistic Presets", where the idea of this table for this model in Rich Pfisterer's words: "Approximated Scatter Model"
Ideal diffuser
1
Typical matte paper at normal incidence
0.85
Typical diffuse black paint at normal incidence
0.5
Perfect absorber
0
J. E. Harvey, Understanding surface scatter phenomena: A linear systems formulation, SPIE Press, Bellingham (2019).
Used for approximating smooth surface finishes.
Isotropic Surface Roughness
Surface Roughness is Bandwidth Limited. I.e. The roughness is not just a single sinusoidal frequency, but a spread of frequencies about some dominant frequency.
Simplistic Model, Ideal for quick turn-around. Wavelength dependence, and model parameters may differ from reality.
These values below were provided by the reference below, and re-presented here. These values are built into the "Simplistic Presets", where the idea of this table for this model in Rich Pfisterer's words: "Approximated Scatter Model"
Super
2.5
0.00001
Slightly better than Standard
2.0
0.0001
Standard
1.5
0.001
Slightly worse than Standard
1.0
0.01
Approximated Scatter Models for Stray Light Analysis, Richard N. Pfisterer
Sum of ABg Parameters. See ABg for more information.
J. E. Harvey, Understanding surface scatter phenomena: A linear systems formulation, SPIE Press, Bellingham (2019).
J. E. Harvey, Understanding surface scatter phenomena: A linear systems formulation, SPIE Press, Bellingham (2019).
J. E. Harvey, Understanding surface scatter phenomena: A linear systems formulation, SPIE Press, Bellingham (2019).
J. E. Harvey, Understanding surface scatter phenomena: A linear systems formulation, SPIE Press, Bellingham (2019).
RMS Surface Roughness (Smooth Surfaces)
Where , with some fitting parameters: A,B, and g.