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seiscomp-training/share/locsat/tables/tab.ms

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[installation] Initial commit with first config
1 year ago
n # Ms factor as function of dist and depth (0.008*z)
5 # number of depth samples
0.00 15.00 40.00 100.00 200.00
160 # number of distance samples
1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00
11.00 12.00 13.00 14.00 15.00 16.00 17.00 18.00 19.00 20.00
21.00 22.00 23.00 24.00 25.00 26.00 27.00 28.00 29.00 30.00
31.00 32.00 33.00 34.00 35.00 36.00 37.00 38.00 39.00 40.00
41.00 42.00 43.00 44.00 45.00 46.00 47.00 48.00 49.00 50.00
51.00 52.00 53.00 54.00 55.00 56.00 57.00 58.00 59.00 60.00
61.00 62.00 63.00 64.00 65.00 66.00 67.00 68.00 69.00 70.00
71.00 72.00 73.00 74.00 75.00 76.00 77.00 78.00 79.00 80.00
81.00 82.00 83.00 84.00 85.00 86.00 87.00 88.00 89.00 90.00
91.00 92.00 93.00 94.00 95.00 96.00 97.00 98.00 99.00 100.00
101.00 102.00 103.00 104.00 105.00 106.00 107.00 108.00 109.00 110.00
111.00 112.00 113.00 114.00 115.00 116.00 117.00 118.00 119.00 120.00
121.00 122.00 123.00 124.00 125.00 126.00 127.00 128.00 129.00 130.00
131.00 132.00 133.00 134.00 135.00 136.00 137.00 138.00 139.00 140.00
141.00 142.00 143.00 144.00 145.00 146.00 147.00 148.00 149.00 150.00
151.00 152.00 153.00 154.00 155.00 156.00 157.00 158.00 159.00 160.00
# Correction at depth z = 0.00
0.170
0.350
0.570
0.670
0.780
0.840
0.900
0.950
0.980
1.020
1.050
1.080
1.110
1.130
1.150
1.170
1.190
1.210
1.230
1.250
1.270
1.290
1.310
1.320
1.340
1.360
1.380
1.400
1.410
1.430
1.440
1.450
1.470
1.480
1.500
1.520
1.540
1.550
1.560
1.570
1.590
1.610
1.620
1.640
1.650
1.660
1.680
1.700
1.710
1.720
1.740
1.750
1.760
1.770
1.780
1.800
1.820
1.830
1.840
1.850
1.870
1.890
1.900
1.910
1.920
1.930
1.940
1.950
1.960
1.970
1.980
1.990
2.010
2.020
2.030
2.040
2.050
2.060
2.070
2.080
2.090
2.100
2.110
2.120
2.130
2.140
2.150
2.160
2.170
2.180
2.180
2.190
2.200
2.210
2.220
2.230
2.240
2.250
2.260
2.270
2.277
2.284
2.291
2.298
2.305
2.312
2.319
2.325
2.332
2.339
2.345
2.352
2.358
2.364
2.371
2.377
2.383
2.389
2.395
2.401
2.407
2.413
2.419
2.425
2.431
2.437
2.442
2.448
2.454
2.459
2.465
2.470
2.476
2.481
2.486
2.492
2.497
2.502
2.507
2.513
2.518
2.523
2.528
2.533
2.538
2.543
2.548
2.553
2.557
2.562
2.567
2.572
2.577
2.581
2.586
2.591
2.595
2.600
2.604
2.609
# Correction at depth z = 15.00
0.290
0.470
0.690
0.790
0.900
0.960
1.020
1.070
1.100
1.140
1.170
1.200
1.230
1.250
1.270
1.290
1.310
1.330
1.350
1.370
1.390
1.410
1.430
1.440
1.460
1.480
1.500
1.520
1.530
1.550
1.560
1.570
1.590
1.600
1.620
1.640
1.660
1.670
1.680
1.690
1.710
1.730
1.740
1.760
1.770
1.780
1.800
1.820
1.830
1.840
1.860
1.870
1.880
1.890
1.900
1.920
1.940
1.950
1.960
1.970
1.990
2.010
2.020
2.030
2.040
2.050
2.060
2.070
2.080
2.090
2.100
2.110
2.130
2.140
2.150
2.160
2.170
2.180
2.190
2.200
2.210
2.220
2.230
2.240
2.250
2.260
2.270
2.280
2.290
2.300
2.300
2.310
2.320
2.330
2.340
2.350
2.360
2.370
2.380
2.390
2.397
2.404
2.411
2.418
2.425
2.432
2.439
2.445
2.452
2.459
2.465
2.472
2.478
2.484
2.491
2.497
2.503
2.509
2.515
2.521
2.527
2.533
2.539
2.545
2.551
2.557
2.562
2.568
2.574
2.579
2.585
2.590
2.596
2.601
2.606
2.612
2.617
2.622
2.627
2.633
2.638
2.643
2.648
2.653
2.658
2.663
2.668
2.673
2.677
2.682
2.687
2.692
2.697
2.701
2.706
2.711
2.715
2.720
2.724
2.729
# Correction at depth z = 40.00
0.490
0.670
0.890
0.990
1.100
1.160
1.220
1.270
1.300
1.340
1.370
1.400
1.430
1.450
1.470
1.490
1.510
1.530
1.550
1.570
1.590
1.610
1.630
1.640
1.660
1.680
1.700
1.720
1.730
1.750
1.760
1.770
1.790
1.800
1.820
1.840
1.860
1.870
1.880
1.890
1.910
1.930
1.940
1.960
1.970
1.980
2.000
2.020
2.030
2.040
2.060
2.070
2.080
2.090
2.100
2.120
2.140
2.150
2.160
2.170
2.190
2.210
2.220
2.230
2.240
2.250
2.260
2.270
2.280
2.290
2.300
2.310
2.330
2.340
2.350
2.360
2.370
2.380
2.390
2.400
2.410
2.420
2.430
2.440
2.450
2.460
2.470
2.480
2.490
2.500
2.500
2.510
2.520
2.530
2.540
2.550
2.560
2.570
2.580
2.590
2.597
2.604
2.611
2.618
2.625
2.632
2.639
2.645
2.652
2.659
2.665
2.672
2.678
2.684
2.691
2.697
2.703
2.709
2.715
2.721
2.727
2.733
2.739
2.745
2.751
2.757
2.762
2.768
2.774
2.779
2.785
2.790
2.796
2.801
2.806
2.812
2.817
2.822
2.827
2.833
2.838
2.843
2.848
2.853
2.858
2.863
2.868
2.873
2.877
2.882
2.887
2.892
2.897
2.901
2.906
2.911
2.915
2.920
2.924
2.929
# Correction at depth z = 100.00
0.970
1.150
1.370
1.470
1.580
1.640
1.700
1.750
1.780
1.820
1.850
1.880
1.910
1.930
1.950
1.970
1.990
2.010
2.030
2.050
2.070
2.090
2.110
2.120
2.140
2.160
2.180
2.200
2.210
2.230
2.240
2.250
2.270
2.280
2.300
2.320
2.340
2.350
2.360
2.370
2.390
2.410
2.420
2.440
2.450
2.460
2.480
2.500
2.510
2.520
2.540
2.550
2.560
2.570
2.580
2.600
2.620
2.630
2.640
2.650
2.670
2.690
2.700
2.710
2.720
2.730
2.740
2.750
2.760
2.770
2.780
2.790
2.810
2.820
2.830
2.840
2.850
2.860
2.870
2.880
2.890
2.900
2.910
2.920
2.930
2.940
2.950
2.960
2.970
2.980
2.980
2.990
3.000
3.010
3.020
3.030
3.040
3.050
3.060
3.070
3.077
3.084
3.091
3.098
3.105
3.112
3.119
3.125
3.132
3.139
3.145
3.152
3.158
3.164
3.171
3.177
3.183
3.189
3.195
3.201
3.207
3.213
3.219
3.225
3.231
3.237
3.242
3.248
3.254
3.259
3.265
3.270
3.276
3.281
3.286
3.292
3.297
3.302
3.307
3.313
3.318
3.323
3.328
3.333
3.338
3.343
3.348
3.353
3.357
3.362
3.367
3.372
3.377
3.381
3.386
3.391
3.395
3.400
3.404
3.409
# Correction at depth z = 200.00
1.770
1.950
2.170
2.270
2.380
2.440
2.500
2.550
2.580
2.620
2.650
2.680
2.710
2.730
2.750
2.770
2.790
2.810
2.830
2.850
2.870
2.890
2.910
2.920
2.940
2.960
2.980
3.000
3.010
3.030
3.040
3.050
3.070
3.080
3.100
3.120
3.140
3.150
3.160
3.170
3.190
3.210
3.220
3.240
3.250
3.260
3.280
3.300
3.310
3.320
3.340
3.350
3.360
3.370
3.380
3.400
3.420
3.430
3.440
3.450
3.470
3.490
3.500
3.510
3.520
3.530
3.540
3.550
3.560
3.570
3.580
3.590
3.610
3.620
3.630
3.640
3.650
3.660
3.670
3.680
3.690
3.700
3.710
3.720
3.730
3.740
3.750
3.760
3.770
3.780
3.780
3.790
3.800
3.810
3.820
3.830
3.840
3.850
3.860
3.870
3.877
3.884
3.891
3.898
3.905
3.912
3.919
3.925
3.932
3.939
3.945
3.952
3.958
3.964
3.971
3.977
3.983
3.989
3.995
4.001
4.007
4.013
4.019
4.025
4.031
4.037
4.042
4.048
4.054
4.059
4.065
4.070
4.076
4.081
4.086
4.092
4.097
4.102
4.107
4.113
4.118
4.123
4.128
4.133
4.138
4.143
4.148
4.153
4.157
4.162
4.167
4.172
4.177
4.181
4.186
4.191
4.195
4.200
4.204
4.209