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tions and the number of particles in Fig. 7.4.1. The results in Fig. 7.4.1 are for the uniform random case. Initially, we put N = 63 particles in a cubic box of size L = 25>', so that the particle density is no = 0.004>' ~3. This is to be compared with the independent scattering theory, "'ei = 47rn o lfI 2 , where the subscript i stands for independent scattering. The independent scattering as defined by (7.3.5) predicts "'ei = 4.0 X 10- 6 >.-1, while in the Monte Carlo simulations we get = 3.958 X 10- 6 >.-1 after 100 realizations. To demonstrate convergence with respect to the number of particles, we increase the number of particles to N = 500 while no remains at 0.004>.-3. This is done by increasing the number of particles to 500 and increasing the volume to V = L 3 = (50).)3. This result is also given in Fig. 7.4.1, where "'e = 3.944 X 10- 6 >.-1 after 100 realizations. Figure 7.4.1 indicates convergence of the results with respect to the number of realizations and the number of particles. All the Monte Carlo results to be presented from this point on are given for N = 500 particles with L = 50>', (Ji = 10 , and <Pi = 10 . Next, we consider the case of clustered random distribution with 10 particles in each cluster. Figure 7.4.2 shows the convergence of the extinction coefficients versus realizations. The relative extinction coefficient ("'re) is the collective extinction coefficient divided by that of independent scattering asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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NET Application. Use KA.Barcode Reader for .NET to Scan and Read Linear & 2D Barcode Images in .NET. Completely integrated into Visual Studio .NET, ASP. Figure 7.4.2 Monte Carlo simulations for the clustered scatterers of Fig, 7,3.2. lc is decreased from 1.0,\ to 0.2'\. There are 50 clusters containing 10 scatterers each (N = 500, L = 50'\). with ""ei = 40 X 10- 6>-1) There are 50 clusters, each containing 10 particles in all plots given The cluster cube size le is varied from 10>' to 02>' For the cubic box size of 10). there is very little difference between the uniform and clustered distribution as can be seen from the solid curve in Fig 742 However, as the cluster volume is made smaller than a wavelength, ""re can become large We see from Fig 742 that the result of ""re for the case of le = 02)" is much larger than ""re for the case of le = 1>. This shows that when considering random media problems, the significance of the clustered geometry must be considered In Figs 743 and 744, the phase functions of the Monte Carlo results of Fig 7. asp.net code 128 reader .NET Barcode Reader Software | Code 128 Scanning DLL Library ...
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