Universality of fractal aggregates as probed by light scattering

1990 ◽  
pp. 71-88 ◽  
2002 ◽  
Vol 13 (3) ◽  
pp. 357-364 ◽  
Author(s):  
S Stone ◽  
G Bushell ◽  
R Amal ◽  
Z Ma ◽  
H G Merkus ◽  
...  

1988 ◽  
Vol 49 (11) ◽  
pp. 1969-1976 ◽  
Author(s):  
J. Frey ◽  
J.J. Pinvidic ◽  
R. Botet ◽  
R. Jullien

2000 ◽  
Vol 228 (2) ◽  
pp. 386-392 ◽  
Author(s):  
A. Thill ◽  
S. Lambert ◽  
S. Moustier ◽  
P. Ginestet ◽  
J.M. Audic ◽  
...  

2014 ◽  
Vol 14 (15) ◽  
pp. 7825-7836 ◽  
Author(s):  
A. J. A. Smith ◽  
R. G. Grainger

Abstract. Black carbon fractal aggregates have complicated shapes that make the calculation of their optical properties particularly computationally expensive. Here, a method is presented to estimate fractal aggregate light scattering properties by optimising simplified models to full light scattering calculations. It is found that there are no possible spherical models (at any size or refractive index) that well represent the light scattering in the visible or near-thermal infrared. As such, parameterisations of the light scattering as a function of the number of aggregate particles is presented as the most pragmatic choice for modelling distributions of black carbon when the large computational overheads of rigorous scattering calculations cannot be justified. This parameterisation can be analytically integrated to provide light scattering properties for lognormal distributions of black carbon fractal aggregates and return extinction cross sections with 0.1% accuracy for typical black carbon size distributions. Scattering cross sections and the asymmetry parameter can be obtained to within 3%.


2020 ◽  
pp. 203-203
Author(s):  
Liang Xu ◽  
Zhen-Zong He ◽  
Jun-Kui Mao ◽  
Xing-Si Han

Two kind of light scattering measurement methods, i.e. the forward light scattering measurement (FLSM) method and the angular light scattering measurement (ALSM) method, are applied to reconstruct the geometrical morphology of particle fractal aggregates. An improved Attractive and Repulsive Particle Swarm Optimization (IARPSO) algorithm is applied to reconstruct the geometrical structure of fractal aggregates. It has been confirmed to show better convergence properties than the original Particle Swarm Optimization (PSO) algorithm and the Attractive and Repulsive Particle Swarm Optimization (ARPSO) algorithm. Compared with the FLSM method, the ASLM method can obtain more accurate and robust results as the distribution of the fitness function value obtained by the ALSM method is more satisfactory. Meanwhile, the retrieval accuracy can be improved by increasing the number of measurement angles or the interval between adjacent measurement angles even when the random noises are added. All the conclusions have important guiding significance for the further study of the geometry reconstruction experiment of fractal aggregates.


2000 ◽  
Vol 228 (2) ◽  
pp. 379-385 ◽  
Author(s):  
S. Lambert ◽  
A. Thill ◽  
P. Ginestet ◽  
J.M. Audic ◽  
J.Y. Bottero

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