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mySpectralProcess0 = SpectralNormalProcess=SpectralNormalProcess dimension=1 spectralModel=class=CauchyModel amplitude=[1] scale=[1] no spatial correlation maximal frequency=3.5 n frequency=4
Realization = [ x ]
0 : [ 0 -0.541695 ]
1 : [ 0.142857 -0.17745 ]
2 : [ 0.285714 -0.0349748 ]
3 : [ 0.428571 0.787511 ]
4 : [ 0.571429 0.116564 ]
5 : [ 0.714286 -0.267239 ]
6 : [ 0.857143 -0.318985 ]
7 : [ 1 -0.442252 ]
mySpectralProcess1 = SpectralNormalProcess=SpectralNormalProcess dimension=1 spectralModel=class=CauchyModel amplitude=[1] scale=[1] no spatial correlation maximal frequency=10 n frequency=8
Realization = [ x ]
0 : [ 0 0.120989 ]
1 : [ 0.05 -0.00948819 ]
2 : [ 0.1 0.0601334 ]
3 : [ 0.15 0.1043 ]
4 : [ 0.2 0.0610709 ]
5 : [ 0.25 0.154619 ]
6 : [ 0.3 0.412502 ]
7 : [ 0.35 -0.250428 ]
8 : [ 0.4 -0.278895 ]
9 : [ 0.45 -0.497166 ]
10 : [ 0.5 -0.136631 ]
11 : [ 0.55 -0.212243 ]
12 : [ 0.6 -0.0581267 ]
13 : [ 0.65 -0.216907 ]
14 : [ 0.7 -0.178035 ]
15 : [ 0.75 -0.21869 ]
mySpecModel = class=CauchyModel amplitude=[1,1,1] scale=[1] no spatial correlation
mySpectralProcess2 = SpectralNormalProcess=SpectralNormalProcess dimension=3 spectralModel=class=CauchyModel amplitude=[1,1,1] scale=[1] no spatial correlation maximal frequency=3.5 n frequency=4
Realization = [ x0 x1 x2 ]
0 : [ 0 0.654415 0.327034 0.995509 ]
1 : [ 0.142857 0.391645 0.83302 0.963103 ]
2 : [ 0.285714 -0.0696653 0.74527 0.923086 ]
3 : [ 0.428571 0.0185515 0.700052 0.753238 ]
4 : [ 0.571429 0.0671541 0.101402 0.776123 ]
5 : [ 0.714286 -0.0868007 -0.182155 0.158721 ]
6 : [ 0.857143 -0.0743807 0.450592 -0.333411 ]
7 : [ 1 -0.357537 0.134426 -0.894867 ]
mySpectralProcess3 = SpectralNormalProcess=SpectralNormalProcess dimension=3 spectralModel=class=CauchyModel amplitude=[1,1,1] scale=[1] no spatial correlation maximal frequency=10 n frequency=8
Realization = [ x0 x1 x2 ]
0 : [ 0 0.375052 -0.406979 0.694822 ]
1 : [ 0.05 0.599149 -0.253222 0.973576 ]
2 : [ 0.1 0.940377 -0.376011 0.912676 ]
3 : [ 0.15 0.686041 0.0312133 0.803473 ]
4 : [ 0.2 0.145005 0.25063 0.650052 ]
5 : [ 0.25 0.165941 1.24729 0.590029 ]
6 : [ 0.3 0.00289084 1.98871 0.703721 ]
7 : [ 0.35 -0.0107257 1.97658 0.890105 ]
8 : [ 0.4 -0.333973 2.20943 0.569659 ]
9 : [ 0.45 -0.0979509 1.94076 0.762396 ]
10 : [ 0.5 -0.0178465 1.72497 0.579794 ]
11 : [ 0.55 -0.297363 1.58461 0.588862 ]
12 : [ 0.6 -0.804947 1.18118 0.55475 ]
13 : [ 0.65 -1.20212 1.07139 0.312167 ]
14 : [ 0.7 -0.923351 0.878606 -0.0436966 ]
15 : [ 0.75 -0.677219 0.610963 -0.170533 ]
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