Wed Sep 12 19:59:43 2018 COLORED_NOISE_TEST Python version: 3.6.5 Test the COLORED_NOISE library. R8VEC_SFTF_TEST: Python version: 3.6.5 R8VEC_SFTF computes the "slow" Fourier transform (forward) of a vector of real data. The original data can be recovered using R8VEC_SFTB. Fourier coefficients: 0.437149 0.286934 0.004681 -0.006233 0.082836 -0.100562 -0.024744 -0.147878 0.020271 -0.022556 0.012898 -0.221165 -0.011888 -0.007270 0.073317 Compare data R and recovered data R2: 0.218418 0.218418 0.956318 0.804433 0.829509 0.967209 0.561695 0.802550 0.415307 0.893364 0.066119 0.858824 0.257578 0.582332 0.109957 0.800782 0.043829 0.901596 0.633966 0.328303 0.061727 0.629560 0.449539 0.853157 0.401306 0.582983 0.754673 0.993706 0.797287 0.644015 R8VEC_SFTF_TEST: Normal end of execution. COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.000000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 -0.551855 2 1.16348 3 1.42021 4 -1.49313 5 -2.31235 6 -0.278143 7 0.651879 ...... .............. 127 1.07297 Data written to file "alpha_0.00.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.250000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 -0.344771 2 1.20983 3 1.60348 4 -1.19812 5 -2.30556 6 -0.525512 7 0.493573 ...... .............. 127 1.23852 Data written to file "alpha_0.25.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.500000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 -0.139024 2 1.27988 3 1.80435 4 -0.870182 5 -2.24224 6 -0.736629 7 0.331012 ...... .............. 127 1.38999 Data written to file "alpha_0.50.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.750000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 0.0649106 2 1.37264 3 2.02445 4 -0.506945 5 -2.11774 6 -0.902257 7 0.173671 ...... .............. 127 1.51059 Data written to file "alpha_0.75.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.000000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 0.266289 2 1.48669 3 2.26468 4 -0.106534 5 -1.92787 6 -1.01321 7 0.0316068 ...... .............. 127 1.57661 Data written to file "alpha_1.00.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.250000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 0.463937 2 1.61993 3 2.52475 4 0.331974 5 -1.66951 6 -1.06086 7 -0.0851512 ...... .............. 127 1.55237 Data written to file "alpha_1.25.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.500000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 0.655986 2 1.76923 3 2.80259 4 0.807905 5 -1.34155 6 -1.03798 7 -0.167631 ...... .............. 127 1.38095 Data written to file "alpha_1.50.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.750000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 0.839432 2 1.92987 3 3.0933 4 1.318 5 -0.946275 6 -0.939982 7 -0.209573 ...... .............. 127 0.967041 Data written to file "alpha_1.75.txt". COLORED_NOISE_TEST01: Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 2.000000 Variance is 1.000000 Initial random number seed = 123456789 Noise sample: 0 1.67904 1 1.00942 2 2.09461 3 3.3875 4 1.85491 5 -0.491656 6 -0.766836 7 -0.210051 ...... .............. 127 0.146319 Data written to file "alpha_2.00.txt". COLORED_NOISE_TEST02: Generating 200 realizations Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.000000 Variance is 1.000000 Initial random number seed = 123456789 Plot saved as "alpha_0.00_paths.png" COLORED_NOISE_TEST02: Generating 200 realizations Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 0.500000 Variance is 1.000000 Initial random number seed = 123456789 Plot saved as "alpha_0.50_paths.png" COLORED_NOISE_TEST02: Generating 200 realizations Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.000000 Variance is 1.000000 Initial random number seed = 123456789 Plot saved as "alpha_1.00_paths.png" COLORED_NOISE_TEST02: Generating 200 realizations Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 1.500000 Variance is 1.000000 Initial random number seed = 123456789 Plot saved as "alpha_1.50_paths.png" COLORED_NOISE_TEST02: Generating 200 realizations Generating 128 sample points. 1/F^ALPHA noise has ALPHA = 2.000000 Variance is 1.000000 Initial random number seed = 123456789 Plot saved as "alpha_2.00_paths.png" COLORED_NOISE_TEST: Normal end of execution. Wed Sep 12 20:03:58 2018