Index: ct/tools/pyscripts/examples/map_dn.txt =================================================================== --- /fact/tools/pyscripts/examples/map_dn.txt (revision 12868) +++ (revision ) @@ -1,1441 +1,0 @@ -# CHID Y X x_euk y_euk y_h x_h softID hardID - 0 -7 21 18.1865334794732 3 3 21 1348 0 - 1 -7 22 19.0525588832576 3.5 4 22 1419 1 - 2 -6 20 17.3205080756888 3.5 4 20 1249 2 - 3 -6 21 18.1865334794732 4 4 21 1349 3 - 4 -6 22 19.0525588832576 4.5 5 22 1420 4 - 5 -5 20 17.3205080756888 4.5 5 20 1250 5 - 6 -5 21 18.1865334794732 5 5 21 1350 6 - 7 -5 22 19.0525588832576 5.5 6 22 1421 7 - 8 -4 20 17.3205080756888 5.5 6 20 1251 8 - 9 -10 21 18.1865334794732 0 0 21 1345 10 - 10 -10 22 19.0525588832576 0.5 1 22 1416 11 - 11 -9 20 17.3205080756888 0.5 1 20 1246 12 - 12 -9 21 18.1865334794732 1 1 21 1346 13 - 13 -9 22 19.0525588832576 1.5 2 22 1417 14 - 14 -8 20 17.3205080756888 1.5 2 20 1247 15 - 15 -8 21 18.1865334794732 2 2 21 1347 16 - 16 -8 22 19.0525588832576 2.5 3 22 1418 17 - 17 -7 20 17.3205080756888 2.5 3 20 1248 18 - 18 -1 18 15.5884572681199 7.5 8 18 1025 20 - 19 -1 17 14.7224318643355 7 7 17 917 21 - 20 -2 19 16.4544826719043 7 7 19 1138 22 - 21 -2 18 15.5884572681199 6.5 7 18 1024 23 - 22 -2 17 14.7224318643355 6 6 17 916 24 - 23 -3 19 16.4544826719043 6 6 19 1137 25 - 24 -3 18 15.5884572681199 5.5 6 18 1023 26 - 25 -3 17 14.7224318643355 5 5 17 915 27 - 26 -4 19 16.4544826719043 5 5 19 1136 28 - 27 -4 18 15.5884572681199 4.5 5 18 1022 30 - 28 -4 17 14.7224318643355 4 4 17 914 31 - 29 -5 19 16.4544826719043 4 4 19 1135 32 - 30 -5 18 15.5884572681199 3.5 4 18 1021 33 - 31 -5 17 14.7224318643355 3 3 17 913 34 - 32 -6 19 16.4544826719043 3 3 19 1134 35 - 33 -6 18 15.5884572681199 2.5 3 18 1020 36 - 34 -6 17 14.7224318643355 2 2 17 912 37 - 35 -7 19 16.4544826719043 2 2 19 1133 38 - 36 5 15 12.9903810567666 12 12 15 1145 100 - 37 5 14 12.1243556529821 11.5 12 14 1031 101 - 38 4 16 13.856406460551 11.5 12 16 1144 102 - 39 4 15 12.9903810567666 11 11 15 1030 103 - 40 4 14 12.1243556529821 10.5 11 14 922 104 - 41 3 16 13.856406460551 10.5 11 16 1029 105 - 42 3 15 12.9903810567666 10 10 15 921 106 - 43 3 14 12.1243556529821 9.5 10 14 819 107 - 44 2 16 13.856406460551 9.5 10 16 920 108 - 45 7 15 12.9903810567666 14 14 15 1356 110 - 46 6 16 13.856406460551 13.5 14 16 1355 111 - 47 6 15 12.9903810567666 13 13 15 1260 112 - 48 6 14 12.1243556529821 12.5 13 14 1146 113 - 49 5 17 14.7224318643355 13 13 17 1354 114 - 50 5 16 13.856406460551 12.5 13 16 1259 115 - 51 4 17 14.7224318643355 12 12 17 1258 116 - 52 3 18 15.5884572681199 11.5 12 18 1257 117 - 53 3 17 14.7224318643355 11 11 17 1143 118 - 54 2 19 16.4544826719043 11 11 19 1256 120 - 55 2 18 15.5884572681199 10.5 11 18 1142 121 - 56 1 19 16.4544826719043 10 10 19 1141 122 - 57 0 20 17.3205080756888 9.5 10 20 1255 123 - 58 2 17 14.7224318643355 10 10 17 1028 124 - 59 1 18 15.5884572681199 9.5 10 18 1027 125 - 60 1 17 14.7224318643355 9 9 17 919 126 - 61 0 18 15.5884572681199 8.5 9 18 1026 127 - 62 0 17 14.7224318643355 8 8 17 918 128 - 63 0 19 16.4544826719043 9 9 19 1140 130 - 64 -1 20 17.3205080756888 8.5 9 20 1254 131 - 65 -1 19 16.4544826719043 8 8 19 1139 132 - 66 -2 21 18.1865334794732 8 8 21 1353 133 - 67 -2 20 17.3205080756888 7.5 8 20 1253 134 - 68 -3 21 18.1865334794732 7 7 21 1352 135 - 69 -3 20 17.3205080756888 6.5 7 20 1252 136 - 70 -4 22 19.0525588832576 6.5 7 22 1438 137 - 71 -4 21 18.1865334794732 6 6 21 1351 138 - 72 8 12 10.3923048454133 13.5 14 12 1148 200 - 73 8 11 9.52627944162883 13 13 11 1034 201 - 74 7 13 11.2583302491977 13 13 13 1147 202 - 75 7 12 10.3923048454133 12.5 13 12 1033 203 - 76 7 11 9.52627944162883 12 12 11 925 204 - 77 6 13 11.2583302491977 12 12 13 1032 205 - 78 6 12 10.3923048454133 11.5 12 12 924 206 - 79 6 11 9.52627944162883 11 11 11 822 207 - 80 5 13 11.2583302491977 11 11 13 923 208 - 81 10 13 11.2583302491977 16 16 13 1424 210 - 82 10 12 10.3923048454133 15.5 16 12 1359 211 - 83 9 13 11.2583302491977 15 15 13 1358 212 - 84 9 12 10.3923048454133 14.5 15 12 1263 213 - 85 9 14 12.1243556529821 15.5 16 14 1423 214 - 86 8 15 12.9903810567666 15 15 15 1422 215 - 87 8 14 12.1243556529821 14.5 15 14 1357 216 - 88 8 13 11.2583302491977 14 14 13 1262 217 - 89 7 14 12.1243556529821 13.5 14 14 1261 218 - 90 5 12 10.3923048454133 10.5 11 12 821 220 - 91 5 11 9.52627944162883 10 10 11 725 221 - 92 4 13 11.2583302491977 10 10 13 820 222 - 93 4 12 10.3923048454133 9.5 10 12 724 223 - 94 4 11 9.52627944162883 9 9 11 634 224 - 95 3 13 11.2583302491977 9 9 13 723 225 - 96 3 12 10.3923048454133 8.5 9 12 633 226 - 97 3 11 9.52627944162883 8 8 11 549 227 - 98 2 13 11.2583302491977 8 8 13 632 228 - 99 2 12 10.3923048454133 7.5 8 12 548 230 - 100 2 11 9.52627944162883 7 7 11 470 231 - 101 1 13 11.2583302491977 7 7 13 547 232 - 102 1 12 10.3923048454133 6.5 7 12 469 233 - 103 1 11 9.52627944162883 6 6 11 397 234 - 104 0 13 11.2583302491977 6 6 13 546 235 - 105 0 12 10.3923048454133 5.5 6 12 468 236 - 106 0 11 9.52627944162883 5 5 11 396 237 - 107 -1 13 11.2583302491977 5 5 13 545 238 - 108 2 15 12.9903810567666 9 9 15 818 300 - 109 2 14 12.1243556529821 8.5 9 14 722 301 - 110 1 16 13.856406460551 8.5 9 16 817 302 - 111 1 15 12.9903810567666 8 8 15 721 303 - 112 1 14 12.1243556529821 7.5 8 14 631 304 - 113 0 16 13.856406460551 7.5 8 16 816 305 - 114 0 15 12.9903810567666 7 7 15 720 306 - 115 0 14 12.1243556529821 6.5 7 14 630 307 - 116 -1 16 13.856406460551 6.5 7 16 815 308 - 117 -1 15 12.9903810567666 6 6 15 719 310 - 118 -1 14 12.1243556529821 5.5 6 14 629 311 - 119 -2 16 13.856406460551 5.5 6 16 814 312 - 120 -2 15 12.9903810567666 5 5 15 718 313 - 121 -2 14 12.1243556529821 4.5 5 14 628 314 - 122 -3 16 13.856406460551 4.5 5 16 813 315 - 123 -3 15 12.9903810567666 4 4 15 717 316 - 124 -3 14 12.1243556529821 3.5 4 14 627 317 - 125 -4 16 13.856406460551 3.5 4 16 812 318 - 126 -4 15 12.9903810567666 3 3 15 716 320 - 127 -4 14 12.1243556529821 2.5 3 14 626 321 - 128 -5 16 13.856406460551 2.5 3 16 811 322 - 129 -5 15 12.9903810567666 2 2 15 715 323 - 130 -5 14 12.1243556529821 1.5 2 14 625 324 - 131 -6 16 13.856406460551 1.5 2 16 810 325 - 132 -6 15 12.9903810567666 1 1 15 714 326 - 133 -6 14 12.1243556529821 0.5 1 14 624 327 - 134 -7 16 13.856406460551 0.5 1 16 809 328 - 135 -1 12 10.3923048454133 4.5 5 12 467 330 - 136 -1 11 9.52627944162883 4 4 11 395 331 - 137 -2 13 11.2583302491977 4 4 13 544 332 - 138 -2 12 10.3923048454133 3.5 4 12 466 333 - 139 -2 11 9.52627944162883 3 3 11 394 334 - 140 -3 13 11.2583302491977 3 3 13 543 335 - 141 -3 12 10.3923048454133 2.5 3 12 465 336 - 142 -3 11 9.52627944162883 2 2 11 393 337 - 143 -4 13 11.2583302491977 2 2 13 542 338 - 144 16 6 5.19615242270663 18.5 19 6 1365 400 - 145 15 8 6.92820323027551 18.5 19 8 1429 401 - 146 15 7 6.06217782649107 18 18 7 1364 402 - 147 14 8 6.92820323027551 17.5 18 8 1363 403 - 148 14 7 6.06217782649107 17 17 7 1268 404 - 149 13 9 7.79422863405995 17 17 9 1362 405 - 150 13 8 6.92820323027551 16.5 17 8 1267 406 - 151 12 9 7.79422863405995 16 16 9 1266 407 - 152 12 8 6.92820323027551 15.5 16 8 1152 408 - 153 14 9 7.79422863405995 18 18 9 1428 410 - 154 13 10 8.66025403784439 17.5 18 10 1427 411 - 155 12 11 9.52627944162883 17 17 11 1426 412 - 156 12 10 8.66025403784439 16.5 17 10 1361 413 - 157 11 12 10.3923048454133 16.5 17 12 1425 414 - 158 11 11 9.52627944162883 16 16 11 1360 415 - 159 11 10 8.66025403784439 15.5 16 10 1265 416 - 160 10 11 9.52627944162883 15 15 11 1264 417 - 161 9 11 9.52627944162883 14 14 11 1149 418 - 162 11 9 7.79422863405995 15 15 9 1151 420 - 163 11 8 6.92820323027551 14.5 15 8 1037 421 - 164 10 10 8.66025403784439 14.5 15 10 1150 422 - 165 10 9 7.79422863405995 14 14 9 1036 423 - 166 10 8 6.92820323027551 13.5 14 8 928 424 - 167 9 10 8.66025403784439 13.5 14 10 1035 425 - 168 9 9 7.79422863405995 13 13 9 927 426 - 169 9 8 6.92820323027551 12.5 13 8 825 427 - 170 8 10 8.66025403784439 12.5 13 10 926 428 - 171 8 9 7.79422863405995 12 12 9 824 430 - 172 8 8 6.92820323027551 11.5 12 8 728 431 - 173 7 10 8.66025403784439 11.5 12 10 823 432 - 174 7 9 7.79422863405995 11 11 9 727 433 - 175 7 8 6.92820323027551 10.5 11 8 637 434 - 176 6 10 8.66025403784439 10.5 11 10 726 435 - 177 6 9 7.79422863405995 10 10 9 636 436 - 178 6 8 6.92820323027551 9.5 10 8 552 437 - 179 5 10 8.66025403784439 9.5 10 10 635 438 - 180 5 9 7.79422863405995 9 9 9 551 500 - 181 5 8 6.92820323027551 8.5 9 8 473 501 - 182 4 10 8.66025403784439 8.5 9 10 550 502 - 183 4 9 7.79422863405995 8 8 9 472 503 - 184 4 8 6.92820323027551 7.5 8 8 400 504 - 185 3 10 8.66025403784439 7.5 8 10 471 505 - 186 3 9 7.79422863405995 7 7 9 399 506 - 187 3 8 6.92820323027551 6.5 7 8 333 507 - 188 2 10 8.66025403784439 6.5 7 10 398 508 - 189 2 9 7.79422863405995 6 6 9 332 510 - 190 2 8 6.92820323027551 5.5 6 8 272 511 - 191 1 10 8.66025403784439 5.5 6 10 331 512 - 192 1 9 7.79422863405995 5 5 9 271 513 - 193 1 8 6.92820323027551 4.5 5 8 217 514 - 194 0 10 8.66025403784439 4.5 5 10 330 515 - 195 0 9 7.79422863405995 4 4 9 270 516 - 196 0 8 6.92820323027551 3.5 4 8 216 517 - 197 -1 10 8.66025403784439 3.5 4 10 329 518 - 198 -1 9 7.79422863405995 3 3 9 269 520 - 199 -1 8 6.92820323027551 2.5 3 8 215 521 - 200 -2 10 8.66025403784439 2.5 3 10 328 522 - 201 -2 9 7.79422863405995 2 2 9 268 523 - 202 -2 8 6.92820323027551 1.5 2 8 214 524 - 203 -3 10 8.66025403784439 1.5 2 10 327 525 - 204 -3 9 7.79422863405995 1 1 9 267 526 - 205 -3 8 6.92820323027551 0.5 1 8 213 527 - 206 -4 10 8.66025403784439 0.5 1 10 326 528 - 207 -4 12 10.3923048454133 1.5 2 12 464 530 - 208 -4 11 9.52627944162883 1 1 11 392 531 - 209 -5 13 11.2583302491977 1 1 13 541 532 - 210 -5 12 10.3923048454133 0.5 1 12 463 533 - 211 -5 11 9.52627944162883 0 0 11 391 534 - 212 -6 13 11.2583302491977 0 0 13 540 535 - 213 -6 12 10.3923048454133 -0.5 0 12 462 536 - 214 -6 11 9.52627944162883 -1 -1 11 390 537 - 215 -7 13 11.2583302491977 -1 -1 13 539 538 - 216 19 2 1.73205080756888 19.5 20 2 1273 600 - 217 18 4 3.46410161513775 19.5 20 4 1367 601 - 218 18 3 2.59807621135332 19 19 3 1272 602 - 219 18 2 1.73205080756888 18.5 19 2 1158 603 - 220 17 5 4.33012701892219 19 19 5 1366 604 - 221 17 4 3.46410161513775 18.5 19 4 1271 605 - 222 16 5 4.33012701892219 18 18 5 1270 606 - 223 15 6 5.19615242270663 17.5 18 6 1269 607 - 224 15 5 4.33012701892219 17 17 5 1155 608 - 225 14 6 5.19615242270663 16.5 17 6 1154 610 - 226 14 5 4.33012701892219 16 16 5 1040 611 - 227 13 7 6.06217782649107 16 16 7 1153 612 - 228 13 6 5.19615242270663 15.5 16 6 1039 613 - 229 13 5 4.33012701892219 15 15 5 931 614 - 230 12 7 6.06217782649107 15 15 7 1038 615 - 231 12 6 5.19615242270663 14.5 15 6 930 616 - 232 12 5 4.33012701892219 14 14 5 828 617 - 233 11 7 6.06217782649107 14 14 7 929 618 - 234 11 6 5.19615242270663 13.5 14 6 827 620 - 235 11 5 4.33012701892219 13 13 5 731 621 - 236 10 7 6.06217782649107 13 13 7 826 622 - 237 10 6 5.19615242270663 12.5 13 6 730 623 - 238 10 5 4.33012701892219 12 12 5 640 624 - 239 9 7 6.06217782649107 12 12 7 729 625 - 240 9 6 5.19615242270663 11.5 12 6 639 626 - 241 9 5 4.33012701892219 11 11 5 555 627 - 242 8 7 6.06217782649107 11 11 7 638 628 - 243 8 6 5.19615242270663 10.5 11 6 554 630 - 244 8 5 4.33012701892219 10 10 5 476 631 - 245 7 7 6.06217782649107 10 10 7 553 632 - 246 7 6 5.19615242270663 9.5 10 6 475 633 - 247 7 5 4.33012701892219 9 9 5 403 634 - 248 6 7 6.06217782649107 9 9 7 474 635 - 249 6 6 5.19615242270663 8.5 9 6 402 636 - 250 6 5 4.33012701892219 8 8 5 336 637 - 251 5 7 6.06217782649107 8 8 7 401 638 - 252 2 6 5.19615242270663 4.5 5 6 170 700 - 253 2 5 4.33012701892219 4 4 5 128 701 - 254 1 7 6.06217782649107 4 4 7 169 702 - 255 1 6 5.19615242270663 3.5 4 6 127 703 - 256 1 5 4.33012701892219 3 3 5 91 704 - 257 0 7 6.06217782649107 3 3 7 168 705 - 258 0 6 5.19615242270663 2.5 3 6 126 706 - 259 0 5 4.33012701892219 2 2 5 90 707 - 260 -1 7 6.06217782649107 2 2 7 167 708 - 261 5 6 5.19615242270663 7.5 8 6 335 710 - 262 5 5 4.33012701892219 7 7 5 275 711 - 263 4 7 6.06217782649107 7 7 7 334 712 - 264 4 6 5.19615242270663 6.5 7 6 274 713 - 265 4 5 4.33012701892219 6 6 5 220 714 - 266 3 7 6.06217782649107 6 6 7 273 715 - 267 3 6 5.19615242270663 5.5 6 6 219 716 - 268 3 5 4.33012701892219 5 5 5 171 717 - 269 2 7 6.06217782649107 5 5 7 218 718 - 270 5 3 2.59807621135332 6 6 3 173 720 - 271 5 2 1.73205080756888 5.5 6 2 131 721 - 272 4 4 3.46410161513775 5.5 6 4 172 722 - 273 4 3 2.59807621135332 5 5 3 130 723 - 274 4 2 1.73205080756888 4.5 5 2 94 724 - 275 3 4 3.46410161513775 4.5 5 4 129 725 - 276 3 3 2.59807621135332 4 4 3 93 726 - 277 3 2 1.73205080756888 3.5 4 2 63 727 - 278 2 4 3.46410161513775 3.5 4 4 92 728 - 279 2 3 2.59807621135332 3 3 3 62 730 - 280 2 2 1.73205080756888 2.5 3 2 38 731 - 281 1 4 3.46410161513775 2.5 3 4 61 732 - 282 1 3 2.59807621135332 2 2 3 37 733 - 283 1 2 1.73205080756888 1.5 2 2 19 734 - 284 0 4 3.46410161513775 1.5 2 4 60 735 - 285 0 3 2.59807621135332 1 1 3 36 736 - 286 0 2 1.73205080756888 0.5 1 2 18 737 - 287 -1 4 3.46410161513775 0.5 1 4 59 738 - 288 17 3 2.59807621135332 18 18 3 1157 800 - 289 17 2 1.73205080756888 17.5 18 2 1043 801 - 290 16 4 3.46410161513775 17.5 18 4 1156 802 - 291 16 3 2.59807621135332 17 17 3 1042 803 - 292 16 2 1.73205080756888 16.5 17 2 934 804 - 293 15 4 3.46410161513775 16.5 17 4 1041 805 - 294 15 3 2.59807621135332 16 16 3 933 806 - 295 15 2 1.73205080756888 15.5 16 2 831 807 - 296 14 4 3.46410161513775 15.5 16 4 932 808 - 297 14 3 2.59807621135332 15 15 3 830 810 - 298 14 2 1.73205080756888 14.5 15 2 734 811 - 299 13 4 3.46410161513775 14.5 15 4 829 812 - 300 13 3 2.59807621135332 14 14 3 733 813 - 301 13 2 1.73205080756888 13.5 14 2 643 814 - 302 12 4 3.46410161513775 13.5 14 4 732 815 - 303 12 3 2.59807621135332 13 13 3 642 816 - 304 12 2 1.73205080756888 12.5 13 2 558 817 - 305 11 4 3.46410161513775 12.5 13 4 641 818 - 306 11 3 2.59807621135332 12 12 3 557 820 - 307 11 2 1.73205080756888 11.5 12 2 479 821 - 308 10 4 3.46410161513775 11.5 12 4 556 822 - 309 10 3 2.59807621135332 11 11 3 478 823 - 310 10 2 1.73205080756888 10.5 11 2 406 824 - 311 9 4 3.46410161513775 10.5 11 4 477 825 - 312 9 3 2.59807621135332 10 10 3 405 826 - 313 9 2 1.73205080756888 9.5 10 2 339 827 - 314 8 4 3.46410161513775 9.5 10 4 404 828 - 315 8 3 2.59807621135332 9 9 3 338 830 - 316 8 2 1.73205080756888 8.5 9 2 278 831 - 317 7 4 3.46410161513775 8.5 9 4 337 832 - 318 7 3 2.59807621135332 8 8 3 277 833 - 319 7 2 1.73205080756888 7.5 8 2 223 834 - 320 6 4 3.46410161513775 7.5 8 4 276 835 - 321 6 3 2.59807621135332 7 7 3 222 836 - 322 6 2 1.73205080756888 6.5 7 2 174 837 - 323 5 4 3.46410161513775 6.5 7 4 221 838 - 324 17 0 0 16.5 17 0 833 900 - 325 17 -1 -0.866025403784439 16 16 -1 834 901 - 326 16 1 0.866025403784439 16 16 1 832 902 - 327 16 0 0 15.5 16 0 736 903 - 328 16 -1 -0.866025403784439 15 15 -1 737 904 - 329 15 1 0.866025403784439 15 15 1 735 905 - 330 15 0 0 14.5 15 0 645 906 - 331 15 -1 -0.866025403784439 14 14 -1 646 907 - 332 14 1 0.866025403784439 14 14 1 644 908 - 333 20 0 0 19.5 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1401 -9 18 15.5884572681199 -0.5 0 18 1017 3836 + 1402 -9 17 14.7224318643355 -1 -1 17 909 3837 + 1403 -10 19 16.4544826719043 -1 -1 19 1130 3838 + 1404 -16 20 17.3205080756888 -6.5 -6 20 1239 3900 + 1405 -17 21 18.1865334794732 -7 -7 21 1338 3901 + 1406 -17 20 17.3205080756888 -7.5 -7 20 1238 3902 + 1407 -18 21 18.1865334794732 -8 -8 21 1337 3903 + 1408 -17 19 16.4544826719043 -8 -8 19 1123 3904 + 1409 -18 20 17.3205080756888 -8.5 -8 20 1237 3905 + 1410 -18 19 16.4544826719043 -9 -9 19 1122 3906 + 1411 -19 20 17.3205080756888 -9.5 -9 20 1236 3907 + 1412 -19 19 16.4544826719043 -10 -10 19 1121 3908 + 1413 -13 18 15.5884572681199 -4.5 -4 18 1013 3910 + 1414 -13 17 14.7224318643355 -5 -5 17 905 3911 + 1415 -14 19 16.4544826719043 -5 -5 19 1126 3912 + 1416 -14 18 15.5884572681199 -5.5 -5 18 1012 3913 + 1417 -14 17 14.7224318643355 -6 -6 17 904 3914 + 1418 -15 19 16.4544826719043 -6 -6 19 1125 3915 + 1419 -15 18 15.5884572681199 -6.5 -6 18 1011 3916 + 1420 -15 17 14.7224318643355 -7 -7 17 903 3917 + 1421 -16 19 16.4544826719043 -7 -7 19 1124 3918 + 1422 -16 21 18.1865334794732 -6 -6 21 1339 3920 + 1423 -16 22 19.0525588832576 -5.5 -5 22 1410 3921 + 1424 -15 20 17.3205080756888 -5.5 -5 20 1240 3922 + 1425 -15 21 18.1865334794732 -5 -5 21 1340 3923 + 1426 -15 22 19.0525588832576 -4.5 -4 22 1411 3924 + 1427 -14 20 17.3205080756888 -4.5 -4 20 1241 3925 + 1428 -14 21 18.1865334794732 -4 -4 21 1341 3926 + 1429 -14 22 19.0525588832576 -3.5 -3 22 1412 3927 + 1430 -13 20 17.3205080756888 -3.5 -3 20 1242 3928 + 1431 -13 21 18.1865334794732 -3 -3 21 1342 3930 + 1432 -13 22 19.0525588832576 -2.5 -2 22 1413 3931 + 1433 -12 20 17.3205080756888 -2.5 -2 20 1243 3932 + 1434 -12 21 18.1865334794732 -2 -2 21 1343 3933 + 1435 -12 22 19.0525588832576 -1.5 -1 22 1414 3934 + 1436 -11 20 17.3205080756888 -1.5 -1 20 1244 3935 + 1437 -11 21 18.1865334794732 -1 -1 21 1344 3936 + 1438 -11 22 19.0525588832576 -0.5 0 22 1415 3937 + 1439 -10 20 17.3205080756888 -0.5 0 20 1245 3938 Index: /fact/tools/pyscripts/produce_npz.py =================================================================== --- /fact/tools/pyscripts/produce_npz.py (revision 12869) +++ /fact/tools/pyscripts/produce_npz.py (revision 12869) @@ -0,0 +1,62 @@ +#!/usr/bin/python +# +# Dominik Neise +# TU Dortmund +# +# test for freshly implemented methods in pyfact. +# subject to frequent change! + +from pyfact import * +#from savecam import * + +name='20111124_081' +dfname = '/data03/fact-construction/raw/2011/11/24/'+name+'.fits' +calfname = '/data03/fact-construction/raw/2011/11/24/20111124_071.drs.fits' +# access the data +rd = rawdata( dfname, calfname ) + +print 'dfname: ', dfname +print 'calfname:', calfname +print 'NEvents: ', rd.NEvents + +def loop_acal( Neve = 1000 ): + """ + bla + """ + if rd.NEvents < Neve: + print 'data file contains not enough events' + exit( 0 ) + else: + for i in range( Neve ): + if (np.mod(i,100)==0) : + print 'Event: ', i + rd.next() + + rd.filterSlidingAverage() +# print rd.smoothData + rd.filterCFD() +# print rd.cfdData + rd.findPeak() + list_maxPos.append(rd.maxPos) + list_maxAmp.append(rd.maxAmp) + rd.sumAroundPeak() + list_integral.append(rd.integral) +# plotincam(rd.integral, 'evt_'+str(i)+'.pdf') + #print len(rd.maxPos) + #print len(rd.maxAmp) +# print 'Trigger Type', rd.trigType + +#print (rd.filterSlidingAverage.__doc__) +#print (rd.filterCFD.__doc__) +#print (rd.findPeak.__doc__) +#print (rd.sumAroundPeak.__doc__) + +list_maxPos = [] +list_maxAmp = [] +list_integral = [] +loop_acal(rd.NEvents) +maxAmp = np.vstack(list_maxAmp) +maxPos = np.vstack(list_maxPos) +integ = np.vstack(list_integral) + +np.savez(name+'.npz', amplitude=maxAmp, time=maxPos, integral=integ)