back to v1.3

This commit is contained in:
Hongjian Fang 2022-05-25 18:53:44 +08:00
parent 3d66dbdd0f
commit a0fceeb5fb
9 changed files with 33 additions and 3219 deletions

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@ -1,22 +0,0 @@
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc
c INPUT PARAMETERS
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc
surfdataTB.dat c: data file
18 18 9 c: nx ny nz (grid number in lat lon and depth direction)
25.2 121.35 c: goxd gozd (upper left point,[lat,lon])
0.015 0.017 c: dvxd dvzd (grid interval in lat and lon direction)
20 c: max(sources, receivers)
4.0 1.0 c: weight damp
3 c: sablayers (for computing depth kernel, 2~5)
0.5 2.8 c: minimum velocity, maximum velocity (a priori information)
10 c: maximum iteration
0.2 c: sparsity fraction
26 c: kmaxRc (followed by periods)
0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0
0 c: kmaxRg
0 c: kmaxLc
0 c: kmaxLg
0 c: synthetic flag(0:real data,1:synthetic)
0.02 c: noiselevel
1.5 c: outlier factor (>=1.5)
1 200 50 c: vorotomo,ncells,nrelizations

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1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980 1.980
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
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2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
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2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400 2.400
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@ -1,162 +0,0 @@
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1.2814 1.3742 1.1081 0.6845 0.4240 0.5237 0.9082 1.2865 1.3723 1.1007 0.6772 0.4224 0.5290 0.9164 1.2914 1.3702 1.0932 0.6700
1.0674 1.1081 0.9913 0.8054 0.6911 0.7349 0.9036 1.0696 1.1073 0.9881 0.8022 0.6904 0.7372 0.9072 1.0718 1.1064 0.9848 0.7990
0.7267 0.6845 0.8054 0.9979 1.1163 1.0710 0.8963 0.7244 0.6854 0.8088 1.0012 1.1170 1.0686 0.8926 0.7222 0.6863 0.8122 1.0045
0.5171 0.4240 0.6911 1.1163 1.3778 1.2777 0.8918 0.5121 0.4260 0.6986 1.1236 1.3794 1.2724 0.8836 0.5071 0.4280 0.7061 1.1309
0.5973 0.5237 0.7349 1.0710 1.2777 1.1986 0.8935 0.5933 0.5253 0.7408 1.0768 1.2790 1.1944 0.8870 0.5894 0.5269 0.7467 1.0825
0.9066 0.9082 0.9036 0.8963 0.8918 0.8935 0.9001 0.9067 0.9082 0.9035 0.8962 0.8918 0.8936 0.9003 0.9068 0.9081 0.9033 0.8960
1.2109 1.2865 1.0696 0.7244 0.5121 0.5933 0.9067 1.2150 1.2849 1.0635 0.7184 0.5107 0.5976 0.9133 1.2190 1.2832 1.0574 0.7125
1.2799 1.3723 1.1073 0.6854 0.4260 0.5253 0.9082 1.2849 1.3703 1.0999 0.6781 0.4243 0.5305 0.9163 1.2898 1.3683 1.0924 0.6709
1.0614 1.1007 0.9881 0.8088 0.6986 0.7408 0.9035 1.0635 1.0999 0.9849 0.8057 0.6979 0.7430 0.9069 1.0656 1.0990 0.9818 0.8027
0.7208 0.6772 0.8022 1.0012 1.1236 1.0768 0.8962 0.7184 0.6781 0.8057 1.0047 1.1244 1.0743 0.8923 0.7161 0.6791 0.8092 1.0081
0.5158 0.4224 0.6904 1.1170 1.3794 1.2790 0.8918 0.5107 0.4243 0.6979 1.1244 1.3811 1.2737 0.8835 0.5058 0.4264 0.7054 1.1317
0.6016 0.5290 0.7372 1.0686 1.2724 1.1944 0.8936 0.5976 0.5305 0.7430 1.0743 1.2737 1.1903 0.8872 0.5938 0.5321 0.7488 1.0800
0.9132 0.9164 0.9072 0.8926 0.8836 0.8870 0.9003 0.9133 0.9163 0.9069 0.8923 0.8835 0.8872 0.9006 0.9135 0.9162 0.9067 0.8921
1.2148 1.2914 1.0718 0.7222 0.5071 0.5894 0.9068 1.2190 1.2898 1.0656 0.7161 0.5058 0.5938 0.9135 1.2230 1.2881 1.0594 0.7101
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1.0554 1.0932 0.9848 0.8122 0.7061 0.7467 0.9033 1.0574 1.0924 0.9818 0.8092 0.7054 0.7488 0.9067 1.0594 1.0916 0.9787 0.8063
0.7150 0.6700 0.7990 1.0045 1.1309 1.0825 0.8960 0.7125 0.6709 0.8027 1.0081 1.1317 1.0800 0.8921 0.7101 0.6719 0.8063 1.0116
1.3268 1.4014 1.1874 0.8467 0.6371 0.7173 1.0266 1.3309 1.3999 1.1814 0.8408 0.6358 0.7216 1.0332 1.3348 1.3982 1.1754 0.8350
1.4014 1.4942 1.2281 0.8045 0.5440 0.6437 1.0282 1.4065 1.4923 1.2207 0.7972 0.5424 0.6490 1.0364 1.4114 1.4902 1.2132 0.7900
1.1874 1.2281 1.1113 0.9254 0.8111 0.8549 1.0236 1.1896 1.2273 1.1081 0.9222 0.8104 0.8572 1.0272 1.1918 1.2264 1.1048 0.9190
0.8467 0.8045 0.9254 1.1179 1.2363 1.1910 1.0163 0.8444 0.8054 0.9288 1.1212 1.2370 1.1886 1.0126 0.8422 0.8063 0.9322 1.1245
0.6371 0.5440 0.8111 1.2363 1.4978 1.3977 1.0118 0.6321 0.5460 0.8186 1.2436 1.4994 1.3924 1.0036 0.6271 0.5480 0.8261 1.2509
0.7173 0.6437 0.8549 1.1910 1.3977 1.3186 1.0135 0.7133 0.6453 0.8608 1.1968 1.3990 1.3144 1.0070 0.7094 0.6469 0.8667 1.2025
1.0266 1.0282 1.0236 1.0163 1.0118 1.0135 1.0201 1.0267 1.0282 1.0235 1.0162 1.0118 1.0136 1.0203 1.0268 1.0281 1.0233 1.0160
1.3309 1.4065 1.1896 0.8444 0.6321 0.7133 1.0267 1.3350 1.4049 1.1835 0.8384 0.6307 0.7176 1.0333 1.3390 1.4032 1.1774 0.8325
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1.1814 1.2207 1.1081 0.9288 0.8186 0.8608 1.0235 1.1835 1.2199 1.1049 0.9257 0.8179 0.8630 1.0269 1.1856 1.2190 1.1018 0.9227
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1.0332 1.0364 1.0272 1.0126 1.0036 1.0070 1.0203 1.0333 1.0363 1.0269 1.0123 1.0035 1.0072 1.0206 1.0335 1.0362 1.0267 1.0121
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1.4468 1.5214 1.3074 0.9667 0.7571 0.8373 1.1466 1.4509 1.5199 1.3014 0.9608 0.7558 0.8416 1.1532 1.4548 1.5182 1.2954 0.9550
1.5214 1.6142 1.3481 0.9245 0.6640 0.7637 1.1482 1.5265 1.6123 1.3407 0.9172 0.6624 0.7690 1.1564 1.5314 1.6102 1.3332 0.9100
1.3074 1.3481 1.2313 1.0454 0.9311 0.9749 1.1436 1.3096 1.3473 1.2281 1.0422 0.9304 0.9772 1.1472 1.3118 1.3464 1.2248 1.0390
0.9667 0.9245 1.0454 1.2379 1.3563 1.3110 1.1363 0.9644 0.9254 1.0488 1.2412 1.3570 1.3086 1.1326 0.9622 0.9263 1.0522 1.2445
0.7571 0.6640 0.9311 1.3563 1.6178 1.5177 1.1318 0.7521 0.6660 0.9386 1.3636 1.6194 1.5124 1.1236 0.7471 0.6680 0.9461 1.3709
0.8373 0.7637 0.9749 1.3110 1.5177 1.4386 1.1335 0.8333 0.7653 0.9808 1.3168 1.5190 1.4344 1.1270 0.8294 0.7669 0.9867 1.3225
1.1466 1.1482 1.1436 1.1363 1.1318 1.1335 1.1401 1.1467 1.1482 1.1435 1.1362 1.1318 1.1336 1.1403 1.1468 1.1481 1.1433 1.1360
1.4509 1.5265 1.3096 0.9644 0.7521 0.8333 1.1467 1.4550 1.5249 1.3035 0.9584 0.7507 0.8376 1.1533 1.4590 1.5232 1.2974 0.9525
1.5199 1.6123 1.3473 0.9254 0.6660 0.7653 1.1482 1.5249 1.6103 1.3399 0.9181 0.6643 0.7705 1.1563 1.5298 1.6083 1.3324 0.9109
1.3014 1.3407 1.2281 1.0488 0.9386 0.9808 1.1435 1.3035 1.3399 1.2249 1.0457 0.9379 0.9830 1.1469 1.3056 1.3390 1.2218 1.0427
0.9608 0.9172 1.0422 1.2412 1.3636 1.3168 1.1362 0.9584 0.9181 1.0457 1.2447 1.3644 1.3143 1.1323 0.9561 0.9191 1.0492 1.2481
0.7558 0.6624 0.9304 1.3570 1.6194 1.5190 1.1318 0.7507 0.6643 0.9379 1.3644 1.6211 1.5137 1.1235 0.7458 0.6664 0.9454 1.3717
0.8416 0.7690 0.9772 1.3086 1.5124 1.4344 1.1336 0.8376 0.7705 0.9830 1.3143 1.5137 1.4303 1.1272 0.8338 0.7721 0.9888 1.3200
1.1532 1.1564 1.1472 1.1326 1.1236 1.1270 1.1403 1.1533 1.1563 1.1469 1.1323 1.1235 1.1272 1.1406 1.1535 1.1562 1.1467 1.1321
1.4548 1.5314 1.3118 0.9622 0.7471 0.8294 1.1468 1.4590 1.5298 1.3056 0.9561 0.7458 0.8338 1.1535 1.4630 1.5281 1.2994 0.9501
1.5182 1.6102 1.3464 0.9263 0.6680 0.7669 1.1481 1.5232 1.6083 1.3390 0.9191 0.6664 0.7721 1.1562 1.5281 1.6062 1.3316 0.9119
1.2954 1.3332 1.2248 1.0522 0.9461 0.9867 1.1433 1.2974 1.3324 1.2218 1.0492 0.9454 0.9888 1.1467 1.2994 1.3316 1.2187 1.0463
0.9550 0.9100 1.0390 1.2445 1.3709 1.3225 1.1360 0.9525 0.9109 1.0427 1.2481 1.3717 1.3200 1.1321 0.9501 0.9119 1.0463 1.2516
1.5668 1.6414 1.4274 1.0867 0.8771 0.9573 1.2666 1.5709 1.6399 1.4214 1.0808 0.8758 0.9616 1.2732 1.5748 1.6382 1.4154 1.0750
1.6414 1.7342 1.4681 1.0445 0.7840 0.8837 1.2682 1.6465 1.7323 1.4607 1.0372 0.7824 0.8890 1.2764 1.6514 1.7302 1.4532 1.0300
1.4274 1.4681 1.3513 1.1654 1.0511 1.0949 1.2636 1.4296 1.4673 1.3481 1.1622 1.0504 1.0972 1.2672 1.4318 1.4664 1.3448 1.1590
1.0867 1.0445 1.1654 1.3579 1.4763 1.4310 1.2563 1.0844 1.0454 1.1688 1.3612 1.4770 1.4286 1.2526 1.0822 1.0463 1.1722 1.3645
0.8771 0.7840 1.0511 1.4763 1.7378 1.6377 1.2518 0.8721 0.7860 1.0586 1.4836 1.7394 1.6324 1.2436 0.8671 0.7880 1.0661 1.4909
0.9573 0.8837 1.0949 1.4310 1.6377 1.5586 1.2535 0.9533 0.8853 1.1008 1.4368 1.6390 1.5544 1.2470 0.9494 0.8869 1.1067 1.4425
1.2666 1.2682 1.2636 1.2563 1.2518 1.2535 1.2601 1.2667 1.2682 1.2635 1.2562 1.2518 1.2536 1.2603 1.2668 1.2681 1.2633 1.2560
1.5709 1.6465 1.4296 1.0844 0.8721 0.9533 1.2667 1.5750 1.6449 1.4235 1.0784 0.8707 0.9576 1.2733 1.5790 1.6432 1.4174 1.0725
1.6399 1.7323 1.4673 1.0454 0.7860 0.8853 1.2682 1.6449 1.7303 1.4599 1.0381 0.7843 0.8905 1.2763 1.6498 1.7283 1.4524 1.0309
1.4214 1.4607 1.3481 1.1688 1.0586 1.1008 1.2635 1.4235 1.4599 1.3449 1.1657 1.0579 1.1030 1.2669 1.4256 1.4590 1.3418 1.1627
1.0808 1.0372 1.1622 1.3612 1.4836 1.4368 1.2562 1.0784 1.0381 1.1657 1.3647 1.4844 1.4343 1.2523 1.0761 1.0391 1.1692 1.3681
0.8758 0.7824 1.0504 1.4770 1.7394 1.6390 1.2518 0.8707 0.7843 1.0579 1.4844 1.7411 1.6337 1.2435 0.8658 0.7864 1.0654 1.4917
0.9616 0.8890 1.0972 1.4286 1.6324 1.5544 1.2536 0.9576 0.8905 1.1030 1.4343 1.6337 1.5503 1.2472 0.9538 0.8921 1.1088 1.4400
1.2732 1.2764 1.2672 1.2526 1.2436 1.2470 1.2603 1.2733 1.2763 1.2669 1.2523 1.2435 1.2472 1.2606 1.2735 1.2762 1.2667 1.2521
1.5748 1.6514 1.4318 1.0822 0.8671 0.9494 1.2668 1.5790 1.6498 1.4256 1.0761 0.8658 0.9538 1.2735 1.5830 1.6481 1.4194 1.0701
1.6382 1.7302 1.4664 1.0463 0.7880 0.8869 1.2681 1.6432 1.7283 1.4590 1.0391 0.7864 0.8921 1.2762 1.6481 1.7262 1.4516 1.0319
1.4154 1.4532 1.3448 1.1722 1.0661 1.1067 1.2633 1.4174 1.4524 1.3418 1.1692 1.0654 1.1088 1.2667 1.4194 1.4516 1.3387 1.1663
1.0750 1.0300 1.1590 1.3645 1.4909 1.4425 1.2560 1.0725 1.0309 1.1627 1.3681 1.4917 1.4400 1.2521 1.0701 1.0319 1.1663 1.3716
1.6868 1.7614 1.5474 1.2067 0.9971 1.0773 1.3866 1.6909 1.7599 1.5414 1.2008 0.9958 1.0816 1.3932 1.6948 1.7582 1.5354 1.1950
1.7614 1.8542 1.5881 1.1645 0.9040 1.0037 1.3882 1.7665 1.8523 1.5807 1.1572 0.9024 1.0090 1.3964 1.7714 1.8502 1.5732 1.1500
1.5474 1.5881 1.4713 1.2854 1.1711 1.2149 1.3836 1.5496 1.5873 1.4681 1.2822 1.1704 1.2172 1.3872 1.5518 1.5864 1.4648 1.2790
1.2067 1.1645 1.2854 1.4779 1.5963 1.5510 1.3763 1.2044 1.1654 1.2888 1.4812 1.5970 1.5486 1.3726 1.2022 1.1663 1.2922 1.4845
0.9971 0.9040 1.1711 1.5963 1.8578 1.7577 1.3718 0.9921 0.9060 1.1786 1.6036 1.8594 1.7524 1.3636 0.9871 0.9080 1.1861 1.6109
1.0773 1.0037 1.2149 1.5510 1.7577 1.6786 1.3735 1.0733 1.0053 1.2208 1.5568 1.7590 1.6744 1.3670 1.0694 1.0069 1.2267 1.5625
1.3866 1.3882 1.3836 1.3763 1.3718 1.3735 1.3801 1.3867 1.3882 1.3835 1.3762 1.3718 1.3736 1.3803 1.3868 1.3881 1.3833 1.3760
1.6909 1.7665 1.5496 1.2044 0.9921 1.0733 1.3867 1.6950 1.7649 1.5435 1.1984 0.9907 1.0776 1.3933 1.6990 1.7632 1.5374 1.1925
1.7599 1.8523 1.5873 1.1654 0.9060 1.0053 1.3882 1.7649 1.8503 1.5799 1.1581 0.9043 1.0105 1.3963 1.7698 1.8483 1.5724 1.1509
1.5414 1.5807 1.4681 1.2888 1.1786 1.2208 1.3835 1.5435 1.5799 1.4649 1.2857 1.1779 1.2230 1.3869 1.5456 1.5790 1.4618 1.2827
1.2008 1.1572 1.2822 1.4812 1.6036 1.5568 1.3762 1.1984 1.1581 1.2857 1.4847 1.6044 1.5543 1.3723 1.1961 1.1591 1.2892 1.4881
0.9958 0.9024 1.1704 1.5970 1.8594 1.7590 1.3718 0.9907 0.9043 1.1779 1.6044 1.8611 1.7537 1.3635 0.9858 0.9064 1.1854 1.6117
1.0816 1.0090 1.2172 1.5486 1.7524 1.6744 1.3736 1.0776 1.0105 1.2230 1.5543 1.7537 1.6703 1.3672 1.0738 1.0121 1.2288 1.5600
1.3932 1.3964 1.3872 1.3726 1.3636 1.3670 1.3803 1.3933 1.3963 1.3869 1.3723 1.3635 1.3672 1.3806 1.3935 1.3962 1.3867 1.3721
1.6948 1.7714 1.5518 1.2022 0.9871 1.0694 1.3868 1.6990 1.7698 1.5456 1.1961 0.9858 1.0738 1.3935 1.7030 1.7681 1.5394 1.1901
1.7582 1.8502 1.5864 1.1663 0.9080 1.0069 1.3881 1.7632 1.8483 1.5790 1.1591 0.9064 1.0121 1.3962 1.7681 1.8462 1.5716 1.1519
1.5354 1.5732 1.4648 1.2922 1.1861 1.2267 1.3833 1.5374 1.5724 1.4618 1.2892 1.1854 1.2288 1.3867 1.5394 1.5716 1.4587 1.2863
1.1950 1.1500 1.2790 1.4845 1.6109 1.5625 1.3760 1.1925 1.1509 1.2827 1.4881 1.6117 1.5600 1.3721 1.1901 1.1519 1.2863 1.4916
1.8668 1.9414 1.7274 1.3867 1.1771 1.2573 1.5666 1.8709 1.9399 1.7214 1.3808 1.1758 1.2616 1.5732 1.8748 1.9382 1.7154 1.3750
1.9414 2.0342 1.7681 1.3445 1.0840 1.1837 1.5682 1.9465 2.0323 1.7607 1.3372 1.0824 1.1890 1.5764 1.9514 2.0302 1.7532 1.3300
1.7274 1.7681 1.6513 1.4654 1.3511 1.3949 1.5636 1.7296 1.7673 1.6481 1.4622 1.3504 1.3972 1.5672 1.7318 1.7664 1.6448 1.4590
1.3867 1.3445 1.4654 1.6579 1.7763 1.7310 1.5563 1.3844 1.3454 1.4688 1.6612 1.7770 1.7286 1.5526 1.3822 1.3463 1.4722 1.6645
1.1771 1.0840 1.3511 1.7763 2.0378 1.9377 1.5518 1.1721 1.0860 1.3586 1.7836 2.0394 1.9324 1.5436 1.1671 1.0880 1.3661 1.7909
1.2573 1.1837 1.3949 1.7310 1.9377 1.8586 1.5535 1.2533 1.1853 1.4008 1.7368 1.9390 1.8544 1.5470 1.2494 1.1869 1.4067 1.7425
1.5666 1.5682 1.5636 1.5563 1.5518 1.5535 1.5601 1.5667 1.5682 1.5635 1.5562 1.5518 1.5536 1.5603 1.5668 1.5681 1.5633 1.5560
1.8709 1.9465 1.7296 1.3844 1.1721 1.2533 1.5667 1.8750 1.9449 1.7235 1.3784 1.1707 1.2576 1.5733 1.8790 1.9432 1.7174 1.3725
1.9399 2.0323 1.7673 1.3454 1.0860 1.1853 1.5682 1.9449 2.0303 1.7599 1.3381 1.0843 1.1905 1.5763 1.9498 2.0283 1.7524 1.3309
1.7214 1.7607 1.6481 1.4688 1.3586 1.4008 1.5635 1.7235 1.7599 1.6449 1.4657 1.3579 1.4030 1.5669 1.7256 1.7590 1.6418 1.4627
1.3808 1.3372 1.4622 1.6612 1.7836 1.7368 1.5562 1.3784 1.3381 1.4657 1.6647 1.7844 1.7343 1.5523 1.3761 1.3391 1.4692 1.6681
1.1758 1.0824 1.3504 1.7770 2.0394 1.9390 1.5518 1.1707 1.0843 1.3579 1.7844 2.0411 1.9337 1.5435 1.1658 1.0864 1.3654 1.7917
1.2616 1.1890 1.3972 1.7286 1.9324 1.8544 1.5536 1.2576 1.1905 1.4030 1.7343 1.9337 1.8503 1.5472 1.2538 1.1921 1.4088 1.7400
1.5732 1.5764 1.5672 1.5526 1.5436 1.5470 1.5603 1.5733 1.5763 1.5669 1.5523 1.5435 1.5472 1.5606 1.5735 1.5762 1.5667 1.5521
1.8748 1.9514 1.7318 1.3822 1.1671 1.2494 1.5668 1.8790 1.9498 1.7256 1.3761 1.1658 1.2538 1.5735 1.8830 1.9481 1.7194 1.3701
1.9382 2.0302 1.7664 1.3463 1.0880 1.1869 1.5681 1.9432 2.0283 1.7590 1.3391 1.0864 1.1921 1.5762 1.9481 2.0262 1.7516 1.3319
1.7154 1.7532 1.6448 1.4722 1.3661 1.4067 1.5633 1.7174 1.7524 1.6418 1.4692 1.3654 1.4088 1.5667 1.7194 1.7516 1.6387 1.4663
1.3750 1.3300 1.4590 1.6645 1.7909 1.7425 1.5560 1.3725 1.3309 1.4627 1.6681 1.7917 1.7400 1.5521 1.3701 1.3319 1.4663 1.6716
2.0468 2.1214 1.9074 1.5667 1.3571 1.4373 1.7466 2.0509 2.1199 1.9014 1.5608 1.3558 1.4416 1.7532 2.0548 2.1182 1.8954 1.5550
2.1214 2.2142 1.9481 1.5245 1.2640 1.3637 1.7482 2.1265 2.2123 1.9407 1.5172 1.2624 1.3690 1.7564 2.1314 2.2102 1.9332 1.5100
1.9074 1.9481 1.8313 1.6454 1.5311 1.5749 1.7436 1.9096 1.9473 1.8281 1.6422 1.5304 1.5772 1.7472 1.9118 1.9464 1.8248 1.6390
1.5667 1.5245 1.6454 1.8379 1.9563 1.9110 1.7363 1.5644 1.5254 1.6488 1.8412 1.9570 1.9086 1.7326 1.5622 1.5263 1.6522 1.8445
1.3571 1.2640 1.5311 1.9563 2.2178 2.1177 1.7318 1.3521 1.2660 1.5386 1.9636 2.2194 2.1124 1.7236 1.3471 1.2680 1.5461 1.9709
1.4373 1.3637 1.5749 1.9110 2.1177 2.0386 1.7335 1.4333 1.3653 1.5808 1.9168 2.1190 2.0344 1.7270 1.4294 1.3669 1.5867 1.9225
1.7466 1.7482 1.7436 1.7363 1.7318 1.7335 1.7401 1.7467 1.7482 1.7435 1.7362 1.7318 1.7336 1.7403 1.7468 1.7481 1.7433 1.7360
2.0509 2.1265 1.9096 1.5644 1.3521 1.4333 1.7467 2.0550 2.1249 1.9035 1.5584 1.3507 1.4376 1.7533 2.0590 2.1232 1.8974 1.5525
2.1199 2.2123 1.9473 1.5254 1.2660 1.3653 1.7482 2.1249 2.2103 1.9399 1.5181 1.2643 1.3705 1.7563 2.1298 2.2083 1.9324 1.5109
1.9014 1.9407 1.8281 1.6488 1.5386 1.5808 1.7435 1.9035 1.9399 1.8249 1.6457 1.5379 1.5830 1.7469 1.9056 1.9390 1.8218 1.6427
1.5608 1.5172 1.6422 1.8412 1.9636 1.9168 1.7362 1.5584 1.5181 1.6457 1.8447 1.9644 1.9143 1.7323 1.5561 1.5191 1.6492 1.8481
1.3558 1.2624 1.5304 1.9570 2.2194 2.1190 1.7318 1.3507 1.2643 1.5379 1.9644 2.2211 2.1137 1.7235 1.3458 1.2664 1.5454 1.9717
1.4416 1.3690 1.5772 1.9086 2.1124 2.0344 1.7336 1.4376 1.3705 1.5830 1.9143 2.1137 2.0303 1.7272 1.4338 1.3721 1.5888 1.9200
1.7532 1.7564 1.7472 1.7326 1.7236 1.7270 1.7403 1.7533 1.7563 1.7469 1.7323 1.7235 1.7272 1.7406 1.7535 1.7562 1.7467 1.7321
2.0548 2.1314 1.9118 1.5622 1.3471 1.4294 1.7468 2.0590 2.1298 1.9056 1.5561 1.3458 1.4338 1.7535 2.0630 2.1281 1.8994 1.5501
2.1182 2.2102 1.9464 1.5263 1.2680 1.3669 1.7481 2.1232 2.2083 1.9390 1.5191 1.2664 1.3721 1.7562 2.1281 2.2062 1.9316 1.5119
1.8954 1.9332 1.8248 1.6522 1.5461 1.5867 1.7433 1.8974 1.9324 1.8218 1.6492 1.5454 1.5888 1.7467 1.8994 1.9316 1.8187 1.6463
1.5550 1.5100 1.6390 1.8445 1.9709 1.9225 1.7360 1.5525 1.5109 1.6427 1.8481 1.9717 1.9200 1.7321 1.5501 1.5119 1.6463 1.8516
2.2868 2.3614 2.1474 1.8067 1.5971 1.6773 1.9866 2.2909 2.3599 2.1414 1.8008 1.5958 1.6816 1.9932 2.2948 2.3582 2.1354 1.7950
2.3614 2.4542 2.1881 1.7645 1.5040 1.6037 1.9882 2.3665 2.4523 2.1807 1.7572 1.5024 1.6090 1.9964 2.3714 2.4502 2.1732 1.7500
2.1474 2.1881 2.0713 1.8854 1.7711 1.8149 1.9836 2.1496 2.1873 2.0681 1.8822 1.7704 1.8172 1.9872 2.1518 2.1864 2.0648 1.8790
1.8067 1.7645 1.8854 2.0779 2.1963 2.1510 1.9763 1.8044 1.7654 1.8888 2.0812 2.1970 2.1486 1.9726 1.8022 1.7663 1.8922 2.0845
1.5971 1.5040 1.7711 2.1963 2.4578 2.3577 1.9718 1.5921 1.5060 1.7786 2.2036 2.4594 2.3524 1.9636 1.5871 1.5080 1.7861 2.2109
1.6773 1.6037 1.8149 2.1510 2.3577 2.2786 1.9735 1.6733 1.6053 1.8208 2.1568 2.3590 2.2744 1.9670 1.6694 1.6069 1.8267 2.1625
1.9866 1.9882 1.9836 1.9763 1.9718 1.9735 1.9801 1.9867 1.9882 1.9835 1.9762 1.9718 1.9736 1.9803 1.9868 1.9881 1.9833 1.9760
2.2909 2.3665 2.1496 1.8044 1.5921 1.6733 1.9867 2.2950 2.3649 2.1435 1.7984 1.5907 1.6776 1.9933 2.2990 2.3632 2.1374 1.7925
2.3599 2.4523 2.1873 1.7654 1.5060 1.6053 1.9882 2.3649 2.4503 2.1799 1.7581 1.5043 1.6105 1.9963 2.3698 2.4483 2.1724 1.7509
2.1414 2.1807 2.0681 1.8888 1.7786 1.8208 1.9835 2.1435 2.1799 2.0649 1.8857 1.7779 1.8230 1.9869 2.1456 2.1790 2.0618 1.8827
1.8008 1.7572 1.8822 2.0812 2.2036 2.1568 1.9762 1.7984 1.7581 1.8857 2.0847 2.2044 2.1543 1.9723 1.7961 1.7591 1.8892 2.0881
1.5958 1.5024 1.7704 2.1970 2.4594 2.3590 1.9718 1.5907 1.5043 1.7779 2.2044 2.4611 2.3537 1.9635 1.5858 1.5064 1.7854 2.2117
1.6816 1.6090 1.8172 2.1486 2.3524 2.2744 1.9736 1.6776 1.6105 1.8230 2.1543 2.3537 2.2703 1.9672 1.6738 1.6121 1.8288 2.1600
1.9932 1.9964 1.9872 1.9726 1.9636 1.9670 1.9803 1.9933 1.9963 1.9869 1.9723 1.9635 1.9672 1.9806 1.9935 1.9962 1.9867 1.9721
2.2948 2.3714 2.1518 1.8022 1.5871 1.6694 1.9868 2.2990 2.3698 2.1456 1.7961 1.5858 1.6738 1.9935 2.3030 2.3681 2.1394 1.7901
2.3582 2.4502 2.1864 1.7663 1.5080 1.6069 1.9881 2.3632 2.4483 2.1790 1.7591 1.5064 1.6121 1.9962 2.3681 2.4462 2.1716 1.7519
2.1354 2.1732 2.0648 1.8922 1.7861 1.8267 1.9833 2.1374 2.1724 2.0618 1.8892 1.7854 1.8288 1.9867 2.1394 2.1716 2.0587 1.8863
1.7950 1.7500 1.8790 2.0845 2.2109 2.1625 1.9760 1.7925 1.7509 1.8827 2.0881 2.2117 2.1600 1.9721 1.7901 1.7519 1.8863 2.0916
2.7068 2.7814 2.5674 2.2267 2.0171 2.0973 2.4066 2.7109 2.7799 2.5614 2.2208 2.0158 2.1016 2.4132 2.7148 2.7782 2.5554 2.2150
2.7814 2.8742 2.6081 2.1845 1.9240 2.0237 2.4082 2.7865 2.8723 2.6007 2.1772 1.9224 2.0290 2.4164 2.7914 2.8702 2.5932 2.1700
2.5674 2.6081 2.4913 2.3054 2.1911 2.2349 2.4036 2.5696 2.6073 2.4881 2.3022 2.1904 2.2372 2.4072 2.5718 2.6064 2.4848 2.2990
2.2267 2.1845 2.3054 2.4979 2.6163 2.5710 2.3963 2.2244 2.1854 2.3088 2.5012 2.6170 2.5686 2.3926 2.2222 2.1863 2.3122 2.5045
2.0171 1.9240 2.1911 2.6163 2.8778 2.7777 2.3918 2.0121 1.9260 2.1986 2.6236 2.8794 2.7724 2.3836 2.0071 1.9280 2.2061 2.6309
2.0973 2.0237 2.2349 2.5710 2.7777 2.6986 2.3935 2.0933 2.0253 2.2408 2.5768 2.7790 2.6944 2.3870 2.0894 2.0269 2.2467 2.5825
2.4066 2.4082 2.4036 2.3963 2.3918 2.3935 2.4001 2.4067 2.4082 2.4035 2.3962 2.3918 2.3936 2.4003 2.4068 2.4081 2.4033 2.3960
2.7109 2.7865 2.5696 2.2244 2.0121 2.0933 2.4067 2.7150 2.7849 2.5635 2.2184 2.0107 2.0976 2.4133 2.7190 2.7832 2.5574 2.2125
2.7799 2.8723 2.6073 2.1854 1.9260 2.0253 2.4082 2.7849 2.8703 2.5999 2.1781 1.9243 2.0305 2.4163 2.7898 2.8683 2.5924 2.1709
2.5614 2.6007 2.4881 2.3088 2.1986 2.2408 2.4035 2.5635 2.5999 2.4849 2.3057 2.1979 2.2430 2.4069 2.5656 2.5990 2.4818 2.3027
2.2208 2.1772 2.3022 2.5012 2.6236 2.5768 2.3962 2.2184 2.1781 2.3057 2.5047 2.6244 2.5743 2.3923 2.2161 2.1791 2.3092 2.5081
2.0158 1.9224 2.1904 2.6170 2.8794 2.7790 2.3918 2.0107 1.9243 2.1979 2.6244 2.8811 2.7737 2.3835 2.0058 1.9264 2.2054 2.6317
2.1016 2.0290 2.2372 2.5686 2.7724 2.6944 2.3936 2.0976 2.0305 2.2430 2.5743 2.7737 2.6903 2.3872 2.0938 2.0321 2.2488 2.5800
2.4132 2.4164 2.4072 2.3926 2.3836 2.3870 2.4003 2.4133 2.4163 2.4069 2.3923 2.3835 2.3872 2.4006 2.4135 2.4162 2.4067 2.3921
2.7148 2.7914 2.5718 2.2222 2.0071 2.0894 2.4068 2.7190 2.7898 2.5656 2.2161 2.0058 2.0938 2.4135 2.7230 2.7881 2.5594 2.2101
2.7782 2.8702 2.6064 2.1863 1.9280 2.0269 2.4081 2.7832 2.8683 2.5990 2.1791 1.9264 2.0321 2.4162 2.7881 2.8662 2.5916 2.1719
2.5554 2.5932 2.4848 2.3122 2.2061 2.2467 2.4033 2.5574 2.5924 2.4818 2.3092 2.2054 2.2488 2.4067 2.5594 2.5916 2.4787 2.3063
2.2150 2.1700 2.2990 2.5045 2.6309 2.5825 2.3960 2.2125 2.1709 2.3027 2.5081 2.6317 2.5800 2.3921 2.2101 2.1719 2.3063 2.5116

File diff suppressed because it is too large Load Diff

View File

@ -18,5 +18,4 @@ surfdataTB.dat c: data file
0 c: kmaxLg 0 c: kmaxLg
0 c: synthetic flag(0:real data,1:synthetic) 0 c: synthetic flag(0:real data,1:synthetic)
0.02 c: noiselevel 0.02 c: noiselevel
0.05 c: threshold 3.0 c: threshold
0 100 50 c: vorotomo,ncells,nrelizations

View File

@ -7,42 +7,42 @@
# csh plotslice.gmt SurfTomo.in.tvMeasure.dat 0.2 0.4 0.8 1.4 # csh plotslice.gmt SurfTomo.in.tvMeasure.dat 0.2 0.4 0.8 1.4
#----------------------------------------------------------- #-----------------------------------------------------------
gmtset ANOT_FONT_SIZE 6 #gmt set ANOT_FONT_SIZE 6
gmtset LABEL_FONT_SIZE 6 #gmt set LABEL_FONT_SIZE 6
gmtset FRAME_WIDTH=0.1c #gmt set FRAME_WIDTH=0.1c
gmtset LABEL_OFFSET=0.1c #gmt set LABEL_OFFSET=0.1c
gmtset LABEL_FONT_SIZE=5p #gmt set LABEL_FONT_SIZE=5p
gmtset TICK_LENGTH=0.1c #gmt set TICK_LENGTH=0.1c
gmtset TICK_PEN=0.3p #gmt set TICK_PEN=0.3p
set inp3D = $1 set inp3D = $1
set ps = horizVsnew.ps set ps = horizVsnew.true.ps
set J = -JM2i #size for plot set J = -JM2i #size for plot
set cpt = slice.cpt set cpt = slice.cpt
# start # start
makecpt -Cseis -T0.6/1.5/0.1 > $cpt #velocity boundary gmt makecpt -Cseis -D -T0.5/2.5/0.1 > $cpt #velocity boundary
set RMAP = `minmax -C $inp3D | awk '{print "-R"$1"/"$2"/"$3"/"$4}'` set RMAP = `gmt gmtinfo -C $inp3D | awk '{print "-R"$1"/"$2"/"$3"/"$4}'`
psbasemap $RMAP $J -Ba0.1f0.05WseN -P -K -Y5i >$ps gmt psbasemap $RMAP $J -Ba0.1f0.05WseN -P -K -Y5i >$ps
awk '{if($3==depth1) print $1,$2,$4}' depth1=$2 $inp3D|xyz2grd -R -I0.017/0.015 -Gtmp.grd awk '{if($3==depth1) print $1,$2,$4}' depth1=$2 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
rm -rf tmp.grd rm -rf tmp.grd
psscale -Cslice.cpt -Ba0.1f0.05:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps gmt psscale -Cslice.cpt -Ba0.1f0.05:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps
makecpt -Cseis -T0.8/1.8/0.1 > $cpt #velocity boundary #gmt makecpt -Cseis -D -T0.8/1.8/0.1 > $cpt #velocity boundary
psbasemap $RMAP $J -Ba0.1f0.05NwsE -P -K -O -X2.3i >>$ps gmt psbasemap $RMAP $J -Ba0.1f0.05NwsE -P -K -O -X2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$3 $inp3D|xyz2grd -R -I0.017/0.015 -Gtmp.grd awk '{if($3==depth2) print $1,$2,$4}' depth2=$3 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps gmt psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps
makecpt -Cseis -T1.1/2.0/0.1 > $cpt #velocity boundary #gmt makecpt -Cseis -D -T1.1/2.0/0.1 > $cpt #velocity boundary
psbasemap $RMAP $J -Ba0.1f0.05WneS -P -K -O -Y-2.7i -X-2.3i >>$ps gmt psbasemap $RMAP $J -Ba0.1f0.05WneS -P -K -O -Y-2.7i -X-2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$4 $inp3D|xyz2grd -R -I0.017/0.015 -Gtmp.grd awk '{if($3==depth2) print $1,$2,$4}' depth2=$4 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.25i/3.00/0.2h -O -K -P >> $ps gmt psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.25i/3.00/0.2h -O -K -P >> $ps
makecpt -Cseis -T1.3/2.4/0.1 > $cpt #velocity boundary #gmt makecpt -Cseis -D -T1.3/2.4/0.1 > $cpt #velocity boundary
psbasemap $RMAP $J -Ba0.1f0.05SwnE -P -K -O -X2.3i >>$ps gmt psbasemap $RMAP $J -Ba0.1f0.05SwnE -P -K -O -X2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$5 $inp3D|xyz2grd -R -I0.017/0.015 -Gtmp.grd awk '{if($3==depth2) print $1,$2,$4}' depth2=$5 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.25i/3.00/0.2h -O -P >> $ps gmt psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.25i/3.00/0.2h -O -P >> $ps

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@ -1,48 +0,0 @@
#!/bin/csh
#-----------------------------------------------------------
# 2015-06-08 Hongjian Fang
# how to run:
# ./plotslice.gmt ModelFile depth1 depth2 depth3 depth4, e.g.
# csh plotslice.gmt SurfTomo.in.tvMeasure.dat 0.2 0.4 0.8 1.4
#-----------------------------------------------------------
gmt set FONT_ANNOT_PRIMARY 12
gmt set FONT_LABEL 12
#gmt set FRAME_WIDTH=0.1c
#gmt set LABEL_OFFSET=0.1c
#gmt set LABEL_FONT_SIZE=5p
#gmt set TICK_LENGTH=0.1c
#gmt set TICK_PEN=0.3p
set inp3D = $1
set ps = horizVsnew.inv_std.ps
set J = -JM2i #size for plot
set cpt = slice.cpt
# start
gmt makecpt -Cgray -D -I -T0.0/0.5/0.05 > $cpt #velocity boundary
set RMAP = `gmt gmtinfo -C $inp3D | awk '{print "-R"$1"/"$2"/"$3"/"$4}'`
gmt psbasemap $RMAP $J -Ba0.1f0.05Wsen -P -K -Y5i >$ps
awk '{if($3==depth1) print $1,$2,$4}' depth1=$2 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
rm -rf tmp.grd
#gmt psscale -Cslice.cpt -Ba0.1f0.05:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps
#gmt makecpt -Cseis -D -T0.8/1.8/0.1 > $cpt #velocity boundary
gmt psbasemap $RMAP $J -Ba0.1f0.05nwse -P -K -O -X2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$3 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
#gmt psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.15i/3.00/0.2h -O -K -P >> $ps
#gmt makecpt -Cseis -D -T1.1/2.0/0.1 > $cpt #velocity boundary
gmt psbasemap $RMAP $J -Ba0.1f0.05WneS -P -K -O -Y-2.3i -X-2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$4 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
#gmt psscale -Cslice.cpt -Ba0.2f0.1:'S velocity (km/s)': -D1.0i/-0.25i/3.00/0.2h -O -K -P >> $ps
#gmt makecpt -Cseis -D -T1.3/2.4/0.1 > $cpt #velocity boundary
gmt psbasemap $RMAP $J -Ba0.1f0.05Swne -P -K -O -X2.3i >>$ps
awk '{if($3==depth2) print $1,$2,$4}' depth2=$5 $inp3D|gmt xyz2grd -R -I0.017/0.015 -Gtmp.grd
gmt grdimage tmp.grd $J $RMAP -BSenW -E100 -C$cpt -O -K >> $ps
gmt psscale -Cslice.cpt -Ba0.2f0.1:'Vs std (km/s)': -D1.0i/-0.35i/3.00/0.2h -O -P >> $ps

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@ -102,9 +102,6 @@ program SurfTomo
real maxnorm real maxnorm
real threshold0,q25,q75 real threshold0,q25,q75
!For Poisson Voronoi inverison
integer iproj,vorotomo,ncells,nrealizations,idx
real hvratio
! OPEN FILES FIRST TO OUTPUT THE PROCESS ! OPEN FILES FIRST TO OUTPUT THE PROCESS
!nout=36 !nout=36
@ -112,7 +109,7 @@ program SurfTomo
! OUTPUT PROGRAM INFOMATION ! OUTPUT PROGRAM INFOMATION
write(*,*) write(*,*)
write(*,*) ' DSurfTomo (v2.0)' write(*,*) ' DSurfTomo (v1.3)'
!write(*,*) 'PLEASE contact Hongjain Fang & !write(*,*) 'PLEASE contact Hongjain Fang &
! (fanghj@mail.ustc.edu.cn) if you find any bug' ! (fanghj@mail.ustc.edu.cn) if you find any bug'
write(*,*) 'For bug report, PLEASE contact Hongjain Fang & write(*,*) 'For bug report, PLEASE contact Hongjain Fang &
@ -212,8 +209,6 @@ program SurfTomo
read(10,*)noiselevel read(10,*)noiselevel
read(10,*) threshold0 read(10,*) threshold0
!read(10,*) vorotomo,ncells,nrealizations!,hvratio
vorotomo = 0
close(10) close(10)
nrc=nsrc nrc=nsrc
kmax=kmaxRc+kmaxRg+kmaxLc+kmaxLg kmax=kmaxRc+kmaxRg+kmaxLc+kmaxLg
@ -292,7 +287,7 @@ program SurfTomo
maxnar = spfra*dall*nx*ny*nz!sparsity fraction maxnar = spfra*dall*nx*ny*nz!sparsity fraction
if (maxnar<0) print*, 'number overflow, decrease your sparsefrac' if (maxnar<0) print*, 'number overflow, decrease your sparsefrac'
maxvp = (nx-2)*(ny-2)*(nz-1) maxvp = (nx-2)*(ny-2)*(nz-1)
allocate(dv(maxvp),dvsub(maxvp),dvstd(maxvp),dvall(maxvp*nrealizations), stat=checkstat) allocate(dv(maxvp),dvsub(maxvp),dvstd(maxvp),dvall(maxvp), stat=checkstat)
! allocate(dvall(maxvp*nrealizations),stats=checkstat) ! allocate(dvall(maxvp*nrealizations),stats=checkstat)
allocate(norm(maxvp), stat=checkstat) allocate(norm(maxvp), stat=checkstat)
allocate(vsf(nx,ny,nz), stat=checkstat) allocate(vsf(nx,ny,nz), stat=checkstat)
@ -416,43 +411,6 @@ program SurfTomo
endif endif
! ADDING REGULARIZATION TERM
if (vorotomo /= 0) then
nrow = 0
hvratio = dvxd*(nx-3)*111.19/depz(nz-1)
dv = 0
dvstd = 0
leniw = 2*nar+1
lenrw = nar
iw(1)=nar
iw(nar+2:2*nar+1) = col(1:nar)
do i = 1,nar
nrow(iw(1+i)) = nrow(iw(1+i))+1
enddo
! print*,sum(nrow(1:dall)),nar
! print*,'no. of nonzero:',nar!,minval(cbst),maxval(cbst)
!$omp parallel &
!$omp default(private) &
!$omp shared(leniw,lenrw,col,nrow,rw,cbst,goxd,gozd,dvxd,dvzd,depz,maxvp) &
!$omp shared(nx,ny,nz,dall,ncells,hvratio,damp,nrealizations,dvall)
!$omp do
do iproj = 1,nrealizations
call voronoiproj(leniw,lenrw,col,nrow,rw,cbst,goxd,dvxd,gozd,dvzd,depz,&
nx,ny,nz,dall,ncells,hvratio,damp,iproj,dvsub)
dvall((iproj-1)*maxvp+1:iproj*maxvp) = dvsub(1:maxvp)
enddo
!$omp end do
!$omp end parallel
do iproj = 1,nrealizations
dvsub = dvall((iproj-1)*maxvp+1:iproj*maxvp)!:,iproj)
dv = dv+dvsub
dvstd = dvstd+dvsub**2
enddo
dv = dv/nrealizations
dvstd = sqrt(dvstd/nrealizations-dv**2)
else
weight=weight0 weight=weight0
nar_tmp=nar nar_tmp=nar
nars=0 nars=0
@ -529,8 +487,6 @@ program SurfTomo
call LSMR(m, n, leniw, lenrw,iw,rw,cbst, damp,& call LSMR(m, n, leniw, lenrw,iw,rw,cbst, damp,&
atol, btol, conlim, itnlim, localSize, nout,& atol, btol, conlim, itnlim, localSize, nout,&
dv, istop, itn, anorm, acond, rnorm, arnorm, xnorm) dv, istop, itn, anorm, acond, rnorm, arnorm, xnorm)
endif ! end vorotomo
mean = sum(cbst(1:dall))/dall mean = sum(cbst(1:dall))/dall
std_devs = sqrt(sum(cbst(1:dall)**2)/dall - mean**2) std_devs = sqrt(sum(cbst(1:dall)**2)/dall - mean**2)
@ -632,22 +588,8 @@ program SurfTomo
write(66,*)'Output inverted shear velocity model & write(66,*)'Output inverted shear velocity model &
to ',outmodel to ',outmodel
if (vorotomo /= 0) then
write(outmodel,'(a,a)') trim(inputfile),'Measure_std.dat'
open(64,file=outmodel)
do k=1,nz-1
do j=1,ny-2
do i=1,nx-2
idx = (k-1)*(nx-2)*(ny-2)+(j-1)*(nx-2)+i
write(64,'(5f10.5)') gozd+(j-1)*dvzd,goxd-(i-1)*dvxd,depz(k),dvstd(idx)
enddo
enddo
enddo
close(64)
endif
endif endif
!close(40) !close(40)
!close(nout) !close lsmr.txt !close(nout) !close lsmr.txt
close(66) !close surf_tomo.log close(66) !close surf_tomo.log

View File

@ -1,222 +0,0 @@
subroutine voronoiproj(leniw,lenrw,colg,nrow,rw,dres,goxd,dvxd,gozd,dvzd,depz,&
nx,ny,nz,nd,ncells,hvratio,damp,iproj,dv)
use lsmrModule, only:lsmr
implicit none
integer leniw,lenrw
integer nx,ny,nz
! integer iw(leniw)
integer colg(lenrw),nrow(nd)
real depz(nz)
real rw(lenrw)
integer ncells,acells
real dv(*),dres(*)
real goxd,gozd,dvxd,dvzd
real damp
real hvratio,cmb
integer ndim,nd
integer iproj
real,parameter:: radius = 6371.0,ftol = 0.1,pi = 3.141592654
integer ii,ix,iy,iz
real,dimension(:),allocatable:: grow,gcol,subrow,dis,dws,xunknown
real,dimension(:),allocatable:: lat,lon,rad,theta,phi,rrad,xpts,ypts,zpts
real,dimension(:),allocatable :: rw_p,rwgp,norm
integer,dimension(:),allocatable:: iw_p,row,col,iwgp,colgp
integer idx
integer maxnar,nzid
integer iseed(4)
real xs,ys,zs
real rx
real atol,btol
real conlim
integer istop
integer itnlim
real acond
real anorm
real arnorm
real rnorm
real xnorm
integer localSize,nout,itn
integer leniw_p,lenrw_p,leniwgp,lenrwgp
integer start
allocate(lat(nx-2),lon(ny-2),rad(nz-1))
ndim = (nx-2)*(ny-2)*(nz-1)
do ii = 1,nx-2
lat(ii) = (goxd-(ii-1)*dvxd)*pi/180
enddo
do ii = 1,ny-2
lon(ii) = (gozd+(ii-1)*dvzd)*pi/180
enddo
!cmb = radius - depz(nz-1)*hvratio
do ii = 1,nz-1
rad(ii) = radius-depz(ii)*hvratio
!rad(ii) = cmb+depz(ii)*hvratio
enddo
allocate(theta(ncells),phi(ncells),rrad(ncells),norm(ncells))
allocate(xpts(ncells),ypts(ncells),zpts(ncells),dis(ncells),xunknown(ncells))
allocate(rw_p(ndim))
allocate(iw_p(2*ndim+1),row(ndim),col(ndim),dws(ndim))
iseed(1:3) = (/38,62,346/)
iseed(4) = 2*iproj+1
call slarnv(1,iseed,ncells,theta)
theta = (gozd+theta*(ny-3)*dvzd)*pi/180
call slarnv(1,iseed,ncells,phi)
phi = pi/2-(goxd-phi*(nx-3)*dvxd)*pi/180
call slarnv(1,iseed,ncells,rrad)
rrad = radius-rrad*depz(nz-1)*hvratio
! adaptive cells based on dws, assume 1/2 of all ncells are used
! as adaptive cells
dws = 0
do ii = 1,lenrw
dws(colg(ii)) = dws(colg(ii))+abs(rw(ii))
enddo
acells = int(ncells/2.0)
do ii = ncells-acells,ncells
call random_index(idx,dws)
ix = mod(idx,nx-2)
iy = idx/(nx-2)
iz = idx/((nx-2)*(ny-2))
theta(ii) = (gozd+(ix+1)*dvzd)*pi/180
phi(ii) = pi/2-(goxd-(iy+1)*dvxd)*pi/180
rrad(ii) = radius-depz(iz+1)*hvratio
enddo
xpts = rrad*sin(phi)*cos(theta)
ypts = rrad*sin(phi)*sin(theta)
zpts = rrad*cos(phi)
idx = 0
do iz = 1,nz-1
do iy = 1,ny-2
do ix = 1,nx-2
xs = rrad(iz)*sin(pi/2-lat(ix))*cos(lon(iy))
ys = rrad(iz)*sin(pi/2-lat(ix))*sin(lon(iy))
zs = rrad(iz)*cos(pi/2-lat(ix))
dis = (xpts-xs)**2+(ypts-ys)**2+(zpts-zs)**2
idx = idx+1
col(idx) = (iz-1)*(nx-2)*(ny-2)+(iy-1)*(nx-2)+ix
row(idx) = minloc(dis,1)
enddo
enddo
enddo
rw_p = 1.0
leniw_p = 2*ndim+1
lenrw_p = ndim
iw_p(1) = ndim
iw_p(2:ndim+1) = row
iw_p(ndim+2:2*ndim+1) = col
allocate(grow(ndim),gcol(nd),subrow(ncells))
maxnar = int(0.6*nd*ncells)
allocate(iwgp(maxnar*2+1),colgp(maxnar),rwgp(maxnar))
nzid = 0
do ii = 1,nd
grow = 0
start = sum(nrow(1:ii-1))
do ix = 1,nrow(ii)
grow(colg(start+ix)) = rw(start+ix)
enddo
!gcol = 0
!gcol(ii) = 1.0
!call aprod(2,nd,ndim,grow,gcol,leniw,lenrw,iw,rw)
subrow = 0
call aprod(1,ncells,ndim,grow,subrow,leniw_p,lenrw_p,iw_p,rw_p)
do ix = 1,ncells
if(abs(subrow(ix))>ftol) then
nzid = nzid+1
rwgp(nzid) = subrow(ix)
iwgp(1+nzid) = ii
colgp(nzid) = ix
endif
enddo
enddo
leniwgp = nzid*2+1
lenrwgp = nzid
iwgp(1) = lenrwgp
iwgp(nzid+2:nzid*2+1) = colgp(1:nzid)
norm = 0
do ii=1,nzid
norm(iwgp(1+ii+nzid)) = norm(iwgp(1+ii+nzid))+rwgp(ii)**2
enddo
do ii =1,ncells
norm(ii) = sqrt(norm(ii)/nd+0.01)
enddo
do ii =1,nzid
rwgp(ii) = rwgp(ii)/norm(iwgp(1+ii+nzid))
enddo
conlim = 50
itnlim = 100
atol = 1e-3/((dvxd+dvzd)*111.19/2.0*0.1) !1e-2
btol = 1e-3/(dvxd*nx*111.19/3.0)!1e-3
istop = 0
anorm = 0.0
acond = 0.0
arnorm = 0.0
xnorm = 0.0
localSize = int(ncells/4)
!damp = dampvel
! using lsmr to solve for the projection coefficients
!print*, 'LSMR beginning ...'
nout = -1
!nout = 36
!open(nout,file='lsmrout_sub.txt')
call LSMR(nd, ncells, leniwgp, lenrwgp,iwgp,rwgp,dres,damp,&
atol, btol, conlim, itnlim, localSize,nout,&
xunknown, istop, itn, anorm, acond,rnorm, arnorm, xnorm)
!close(nout)
do ii = 1,ncells
xunknown(ii) = xunknown(ii)/norm(ii)
enddo
norm = (norm**2-0.01)*nd
do ii = 1,ncells
if (norm(ii)<0.01) then
call random_number(rx)
xunknown(ii) = xunknown(ii)+rx-0.5
endif
enddo
dv(1:ndim) = 0
call aprod(2,ncells,ndim,dv,xunknown,leniw_p,lenrw_p,iw_p,rw_p)
deallocate(grow,gcol,subrow)
deallocate(theta,phi,rrad,dws,norm)
deallocate(xpts,ypts,zpts,dis,xunknown)
deallocate(iw_p,rw_p,row,col)
deallocate(lat,lon,rad)
deallocate(iwgp,colgp,rwgp)
contains
subroutine random_index( idx, weights )
integer :: idx
real, intent(in) :: weights(:)
real x, wsum, prob
wsum = sum( weights )
call random_number( x )
prob = 0
do idx = 1, size( weights )
prob = prob + weights( idx ) / wsum !! 0 < prob < 1
if ( x <= prob ) exit
enddo
end subroutine random_index
end subroutine