scholarly journals Image-based modeling of inhomogeneous single-scattering participating media

2010 ◽  
Vol 55 (24) ◽  
pp. 2756-2756
Author(s):  
Yong Hu
Keyword(s):  
Single Scattering ◽  
Participating Media ◽  
Image Based Modeling

Image-based modeling of inhomogeneous single-scattering participating media

2010 ◽  
Vol 53 (6) ◽  
pp. 1141-1150 ◽  
Author(s):  
Yong Hu ◽  
Yue Qi ◽  
Xin Tong
Keyword(s):  
Single Scattering ◽  
Participating Media ◽  
Image Based Modeling

An Analytical Solution to Single Scattering in Homogeneous Participating Media

2009 ◽  
Vol 28 (2) ◽  
pp. 329-335 ◽  
Author(s):  
Vincent Pegoraro ◽  
Steven G. Parker
Keyword(s):  
Analytical Solution ◽  
Single Scattering ◽  
Participating Media

scholarly journals Single scattering in heterogenous participating media

2010 ◽  
Author(s):  
Cyril Delalandre ◽  
Pascal Gautron ◽  
Jean-Eudes Marvie ◽  
Guillaume François
Keyword(s):  
Single Scattering ◽  
Participating Media

scholarly journals A survey on rendering homogeneous participating media

2021 ◽  
Vol 8 (2) ◽  
pp. 177-198
Author(s):  
Wenshi Wu ◽  
Beibei Wang ◽  
Ling-Qi Yan
Keyword(s):  
Fruit Juice ◽  
Single Scattering ◽  
Volume Density ◽  
Research Area ◽  
Open Problems ◽  
Participating Media ◽  
Spatially Correlated ◽  
Muddy Water ◽  
Acceleration Techniques ◽  
Incoming Light

AbstractParticipating media are frequent in real-world scenes, whether they contain milk, fruit juice, oil, or muddy water in a river or the ocean. Incoming light interacts with these participating media in complex ways: refraction at boundaries and scattering and absorption inside volumes. The radiative transfer equation is the key to solving this problem. There are several categories of rendering methods which are all based on this equation, but using different solutions. In this paper, we introduce these groups, which include volume density estimation based approaches, virtual point/ray/beam lights, point based approaches, Monte Carlo based approaches, acceleration techniques, accurate single scattering methods, neural network based methods, and spatially-correlated participating media related methods. As well as discussing these methods, we consider the challenges and open problems in this research area.

Inelastic Electron Scattering from Valence Electrons in Aluminum

1976 ◽  
Vol 34 ◽  
pp. 462-463
Author(s):  
P. E. Batson ◽  
C. H. Chen ◽  
J. Silcox
Keyword(s):  
Electron Scattering ◽  
Single Scattering ◽  
Three Dimensions ◽  
Inelastic Electron ◽  
Weak Beam ◽  
Scattering Spectrum ◽  
Valence Electrons ◽  
Diffraction Patterns ◽  
Electronic Scattering

We wish to report in this paper measurements of the inelastic scattering component due to the collective excitations (plasmons) and single particlehole excitations of the valence electrons in Al. Such scattering contributes to the diffuse electronic scattering seen in electron diffraction patterns and has recently been considered of significance in weak-beam images (see Gai and Howie) . A major problem in the determination of such scattering is the proper correction for multiple scattering. We outline here a procedure which we believe suitably deals with such problems and report the observed single scattering spectrum.In principle, one can use the procedure of Misell and Jones—suitably generalized to three dimensions (qx, qy and #x2206;E)--to derive single scattering profiles. However, such a computation becomes prohibitively large if applied in a brute force fashion since the quasi-elastic scattering (and associated multiple electronic scattering) extends to much larger angles than the multiple electronic scattering on its own.

Comparison of Calculated and Recorded Electron Energy-Loss Spectra of Aluminium and Carbon

1990 ◽  
Vol 48 (2) ◽  
pp. 64-65
Author(s):  
L. Reimer ◽  
R. Oelgeklaus
Keyword(s):  
Fourier Transform ◽  
Energy Loss ◽  
Electron Energy ◽  
Rotational Symmetry ◽  
Mean Free Path ◽  
Single Scattering ◽  
Specimen Thickness ◽  
Two Dimensional ◽  
Image Position ◽  
Electron Energy Loss

Quantitative electron energy-loss spectroscopy (EELS) needs a correction for the limited collection aperture α and a deconvolution of recorded spectra for eliminating the influence of multiple inelastic scattering. Reversely, it is of interest to calculate the influence of multiple scattering on EELS. The distribution f(w,θ,z) of scattered electrons as a function of energy loss w, scattering angle θ and reduced specimen thickness z=t/Λ (Λ=total mean-free-path) can either be recorded by angular-resolved EELS or calculated by a convolution of a normalized single-scattering function ϕ(w,θ). For rotational symmetry in angle (amorphous or polycrystalline specimens) this can be realised by the following sequence of operations :(1)where the two-dimensional distribution in angle is reduced to a one-dimensional function by a projection P, T is a two-dimensional Fourier transform in angle θ and energy loss w and the exponent -1 indicates a deprojection and inverse Fourier transform, respectively.

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