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Databáze známých zákrytových dvojhvěd podle O-C brány
V níže uvedeném seznamu jsou uvedeny všechny známé zákrytové dvojhvězdy, jejich souřadnice, elementy a míra sledovanosti v posledních 10ti letech
Data jsou převzata z O-C brány, administrátor databáze je Anton Paschke.
And, Ant, Aps, Aql, Aqr, Ara, Ari, Aur, Boo, Cae, Cam, Cap, Car, Cas, Cen, Cep, Cet, Cir, CMa, CMi, Cnc, Col, Com, CrA, CrB, Crt, Cru, Crv, CVn, Cyg, Del, Dor, Dra, Equ, Eri, For, Gem, Gru, Her, Hor, Hya, Hyi, Cha, Ind, Lac, Leo, LMi, Lep, Lib, Lup, Lyn, Lyr, Men, Mic, Mon, Mus, Nor, Oct, Oph, Ori, Pav, Peg, Per, Phe, Pic, Psc, PsA, Pup, Pyx, Ret, Sco, Scl, Sct, Ser, Sex, Sge, Sgr, Tau, Tel, Tri, TrA, Tuc, UMa, UMi, Vel, Vir, Vol, Vul,
| STAR Peg
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| U | p | 1 | 99 | 852 | 0.3747768 | 47070.36 | 23:57:58.48 | +15:57:10.1 | 9.23 | 9.76 | 9.73 | V | predict |
| U | s | 1 | 99 | 852 | 0.3747768 | 47070.547 | 23:57:58.48 | +15:57:10.1 | 9.23 | 9.76 | 9.73 | V | predict |
| TY | p | 1 | 13 | 215 | 3.09211 | 47449.43 | 23:29:57.03 | +13:32:31.5 | 10.1 | 12 | 10.2 | V | predict |
| UX | p | 1 | 12 | 191 | 1.544617 | 40425.475 | 22:28:35.8 | +18:1:33.6 | 10.7 | 12 | 10.7 | P | predict |
| VW | p | 1 | 9 | 50 | 21.0717511 | 52984.3148 | 22:56:23.58 | +33:13:43.8 | 9.9 | 10.6 | 10.4 | V | predict |
| VW | s | 1 | 9 | 50 | 21.0717511 | 50714.34 | 22:56:23.58 | +33:13:43.8 | 9.9 | 10.6 | 10.4 | V | predict |
| WZ | p | 9 | 1 | 3 | 3.423551 | 55836.449 | 22:1:32.7 | +35:17:51.2 | 14.3 | 16.5 | 14.3 | B | predict |
| ZZ | p | 1 | 13 | 27 | 0.6673559 | 55866.6436 | 22:58:54.5 | +14:51:45.4 | 12.2 | 12.8 | 12.5 | P | predict |
| ZZ | s | 1 | 13 | 27 | 0.6673559 | 25088.522 | 22:58:54.5 | +14:51:45.4 | 12.2 | 12.8 | 12.5 | P | predict |
| AQ | p | 6 | 4 | 69 | 5.548715 | 42632.037 | 21:37:20.91 | +13:28:28.5 | 10.39 | 12.85 | 10.47 | V | predict |
| AT | p | 1 | 37 | 329 | 1.146081 | 45640.447 | 22:13:23.52 | +8:25:30.9 | 8.97 | 9.75 | 9.04 | V | predict |
| AT | s | 1 | 37 | 329 | 1.146081 | 45641.02 | 22:13:23.52 | +8:25:30.9 | 8.97 | 9.75 | 9.04 | V | predict |
| AW | p | 4 | 6 | 37 | 10.62259 | 43741.41 | 21:52:20.69 | +24:0:44.3 | 7.4 | 8.61 | 7.6 | V | predict |
| AY | p | 8 | 2 | 28 | 2.438994 | 27933.387 | 22:0:47.38 | +34:57:48.1 | 13.1 | 14.1 | 13.1 | V | predict |
| BB | p | 1 | 66 | 286 | 0.3615015 | 48500.02 | 22:22:56.89 | +16:19:27.9 | 10.8 | 11.48 | 11.4 | B | predict |
| BB | s | 1 | 66 | 286 | 0.3615015 | 48500.2 | 22:22:56.89 | +16:19:27.9 | 10.8 | 11.48 | 11.4 | B | predict |
| BG | p | 1 | 21 | 107 | 1.952415 | 26562.434 | 22:52:47.32 | +15:39:34.5 | 10.5 | 11.6 | 10.5 | V | predict |
| BG | s | 1 | 21 | 107 | 1.952415 | 26563.4102 | 22:52:47.32 | +15:39:34.5 | 10.5 | 11.6 | 10.5 | V | predict |
| BK | p | 7 | 3 | 38 | 5.489909 | 54000.4181 | 23:47:8.47 | +26:34:0 | 9.97 | 10.47 | 10.47 | V | predict |
| BK | s | 7 | 3 | 38 | 5.489909 | 41590.4708 | 23:47:8.47 | +26:34:0 | 9.97 | 10.47 | 10.47 | V | predict |
| BN | p | 1 | 18 | 270 | 0.7132979 | 33896.371 | 21:28:4.27 | +4:59:2 | 10.3 | 11.2 | 10.3 | V | predict |
| BN | s | 1 | 18 | 270 | 0.7132979 | 55444.0515 | 21:28:4.27 | +4:59:2 | 10.3 | 11.2 | 10.3 | V | predict |
| BO | p | 1 | 17 | 70 | 0.580428 | 45612.323 | 21:31:17.87 | +11:56:46.5 | 11.5 | 12.2 | 11.6 | V | predict |
| BO | s | 1 | 17 | 70 | 0.580428 | 53984.1318 | 21:31:17.87 | +11:56:46.5 | 11.5 | 12.2 | 11.6 | V | predict |
| BQ | p | 7 | 3 | 5 | 1.574862 | 54012.7412 | 21:34:20.66 | +20:57:18.1 | 13.7 | 16.3 | 13.7 | P | predict |
| BX | p | 1 | 142 | 398 | 0.280418 | 48174.666 | 21:38:49.39 | +26:41:34.2 | 11 | 11.69 | 11.62 | V | predict |
| BX | s | 1 | 142 | 398 | 0.280418 | 48174.526 | 21:38:49.39 | +26:41:34.2 | 11 | 11.69 | 11.62 | V | predict |
| BY | p | 1 | 67 | 160 | 0.3419357 | 45565.529 | 21:38:52.13 | +28:5:45.1 | 12.9 | 13.6 | 13.58 | P | predict |
| BY | s | 1 | 67 | 160 | 0.3419357 | 45565.7 | 21:38:52.13 | +28:5:45.1 | 12.9 | 13.6 | 13.58 | P | predict |
| BZ | p | 5 | 5 | 7 | 1.257955 | 24763.7 | 21:39:42.48 | +26:21:16.6 | 14 | 15.3 | 14 | P | predict |
| BZ | s | 5 | 5 | 7 | 1.257955 | 55849.659 | 21:39:42.48 | +26:21:16.6 | 14 | 15.3 | 14 | P | predict |
| CC | p | 1 | 32 | 46 | 0.6056036 | 55850.6679 | 21:39:39.75 | +28:23:49.2 | 12.6 | 13.3 | 12.9 | P | predict |
| CC | s | 1 | 32 | 46 | 0.6056036 | 54388.4508 | 21:39:39.75 | +28:23:49.2 | 12.6 | 13.3 | 12.9 | P | predict |
| CE | p | 1 | 21 | 32 | 0.64203 | 24789.6 | 21:40:46.96 | +25:9:15.4 | 13.2 | 14.2 | 13.2 | P | predict |
| CE | s | 1 | 21 | 32 | 0.64203 | 24789.921 | 21:40:46.96 | +25:9:15.4 | 13.2 | 14.2 | 13.2 | P | predict |
| CF | p | 1 | 14 | 16 | 0.4134966 | 24766.7 | 21:41:11.67 | +26:12:6.9 | 14.8 | 15.5 | 14.8 | P | predict |
| CF | s | 1 | 14 | 16 | 0.4134966 | 24766.907 | 21:41:11.67 | +26:12:6.9 | 14.8 | 15.5 | 14.8 | P | predict |
| CU | p | 6 | 4 | 26 | 3.880223 | 45171.456 | 21:47:44.62 | +27:15:24.6 | 11.9 | 14 | 11.9 | V | predict |
| CW | p | 1 | 10 | 66 | 2.372527 | 54273.8879 | 21:48:27.61 | +28:6:29.9 | 11.8 | 16.1 | 11.8 | P | predict |
| CW | s | 1 | 10 | 66 | 2.372527 | 52137.436 | 21:48:27.61 | +28:6:29.9 | 11.8 | 16.1 | 11.8 | P | predict |
| CZ | p | 9 | 1 | 2 | 0.562229 | 53613.4253 | 21:50:27.91 | +25:2:0.8 | 13.4 | 14.4 | 13.9 | P | predict |
| DF | p | 7 | 3 | 27 | 14.69873 | 52878.592 | 21:54:43.38 | +14:33:27.9 | 9.1 | 10.9 | 9.2 | P | predict |
| DI | p | 1 | 79 | 603 | 0.7118165 | 45196.485 | 23:32:14.67 | +14:58:8.7 | 9.38 | 10.48 | 9.59 | V | predict |
| DI | s | 1 | 79 | 603 | 0.7118165 | 45196.841 | 23:32:14.67 | +14:58:8.7 | 9.38 | 10.48 | 9.59 | V | predict |
| DK | p | 1 | 15 | 94 | 1.631829 | 48500.39 | 23:41:33.51 | +10:12:57 | 10 | 10.7 | 10 | P | predict |
| DM | p | 6 | 4 | 26 | 2.588999 | 54024.3808 | 0:0:7.29 | +18:44:17.1 | 10.8 | 11.6 | 11 | V | predict |
| DM | s | 6 | 4 | 26 | 2.588999 | 25854.7745 | 0:0:7.29 | +18:44:17.1 | 10.8 | 11.6 | 11 | V | predict |
| DO | p | 9 | 1 | 63 | 2.613893 | 45211.51 | 22:7:30.63 | +6:10:16 | 10.6 | 13.5 | 10.6 | V | predict |
| DP | p | 7 | 3 | 21 | 1.661302 | 53636.4243 | 21:22:56.06 | +22:3:46.6 | 13.3 | 14.2 | 13.3 | P | predict |
| DV | p | 1 | 10 | 13 | 0.642167 | 53604.6143 | 21:27:7.01 | +21:22:30.4 | 11.7 | 12.1 | 12.1 | V | predict |
| DV | s | 1 | 10 | 13 | 0.642167 | 28749.21808 | 21:27:7.01 | +21:22:30.4 | 11.7 | 12.1 | 12.1 | V | predict |
| EE | p | 3 | 7 | 87 | 2.62821423 | 45563.8916 | 21:40:1.88 | +9:11:5.1 | 6.93 | 7.51 | 7.06 | V | predict |
| EE | s | 3 | 7 | 87 | 2.62821423 | 45565.20571 | 21:40:1.88 | +9:11:5.1 | 6.93 | 7.51 | 7.06 | V | predict |
| EH | p | 9 | 1 | 50 | 2.37439 | 55825.6 | 22:34:2.57 | +13:41:56.3 | 11.2 | 11.9 | 11.2 | P | predict |
| EH | s | 9 | 1 | 50 | 2.37439 | 51310.692 | 22:34:2.57 | +13:41:56.3 | 11.2 | 11.9 | 11.2 | P | predict |
| ER | p | 7 | 3 | 19 | 2.274675 | 53656.3593 | 23:5:46.8 | +33:29:7.1 | 11 | 12 | 11 | P | predict |
| EU | p | 4 | 6 | 24 | 0.721115 | 52913.3646 | 23:1:25.2 | +27:20:21.1 | 12.2 | 12.8 | 12.3 | P | predict |
| EY | p | 6 | 4 | 40 | 1.923307 | 53280.7213 | 23:15:19.79 | +16:47:19.1 | 12 | 14 | 12 | P | predict |
| EY | s | 6 | 4 | 40 | 1.923307 | 53262.4513 | 23:15:19.79 | +16:47:19.1 | 12 | 14 | 12 | P | predict |
| FL | p | 7 | 3 | 5 | 0.4743115 | 37137.506 | 21:26:31.75 | +9:17:3.4 | 13.5 | 14.3 | 14 | P | predict |
| FL | s | 7 | 3 | 5 | 0.4743115 | 55114.6242 | 21:26:31.75 | +9:17:3.4 | 13.5 | 14.3 | 14 | P | predict |
| GH | p | 6 | 4 | 54 | 2.556136 | 52587.0203 | 21:50:51.63 | +15:16:25.6 | 8.8 | 9.28 | 8.93 | V | predict |
| GH | s | 6 | 4 | 54 | 2.556136 | 41640.3621 | 21:50:51.63 | +15:16:25.6 | 8.8 | 9.28 | 8.93 | V | predict |
| GP | p | 1 | 26 | 98 | 0.9756146 | 53992.5386 | 23:6:45.3 | +30:55:22.3 | 10.2 | 11 | 10.2 | P | predict |
| GP | s | 1 | 26 | 98 | 0.9756146 | 53291.5617 | 23:6:45.3 | +30:55:22.3 | 10.2 | 11 | 10.2 | P | predict |
| IP | p | 1 | 38 | 96 | 0.15820616 | 49591.29361 | 23:23:8.6 | +18:24:59.6 | 13 | 18.6 | 13 | B | predict |
| IP | s | 1 | 38 | 96 | 0.15820616 | 49591.37271 | 23:23:8.6 | +18:24:59.6 | 13 | 18.6 | 13 | B | predict |
| KP | p | 5 | 5 | 13 | 0.727206 | 51421.3874 | 21:26:41.13 | +13:41:17.7 | 7.05 | 7.26 | 7.05 | V | predict |
| KP | s | 5 | 5 | 13 | 0.727206 | 46730.544 | 21:26:41.13 | +13:41:17.7 | 7.05 | 7.26 | 7.05 | V | predict |
| KV | p | 6 | 4 | 9 | 0.45775 | 47777.868 | 21:22:3.65 | +17:7:51.6 | 11.73 | 11.93 | 11.73 | V | predict |
| KV | s | 6 | 4 | 9 | 0.45775 | 51287.215 | 21:22:3.65 | +17:7:51.6 | 11.73 | 11.93 | 11.73 | V | predict |
| KW | p | 1 | 37 | 44 | 0.816402 | 48158.5675 | 21:39:10.6 | +26:42:34.3 | 12.17 | 12.48 | 12.17 | V | predict |
| KW | s | 1 | 37 | 44 | 0.816402 | 48158.9757 | 21:39:10.6 | +26:42:34.3 | 12.17 | 12.48 | 12.17 | V | predict |
| LS | p | 8 | 2 | 2 | 1 | 55068.6083 | 21:51:57.9 | +14:6:53 | 11.6 | 13 | 11.6 | V | predict |
| MQ | p | 3 | 7 | 8 | 0.379386 | 51304.84 | 22:48:10.4 | +28:5:19.1 | 13.39 | 13.67 | 13.39 | V | predict |
| MQ | s | 3 | 7 | 8 | 0.379386 | 51305.0297 | 22:48:10.4 | +28:5:19.1 | 13.39 | 13.67 | 13.39 | V | predict |
| OO | p | 9 | 1 | 2 | 2.98466 | 48500.64 | 21:41:37.7 | +14:39:30.8 | 8.251 | 8.685 | 8.251 | V | predict |
| OO | s | 9 | 1 | 2 | 2.98466 | 48502.1324 | 21:41:37.7 | +14:39:30.8 | 8.251 | 8.685 | 8.251 | V | predict |
| PU | p | 8 | 2 | 4 | 0.86202 | 48500.028 | 22:22:33.91 | +9:56:24.6 | 8.017 | 8.116 | 8.017 | c | predict |
| PU | s | 8 | 2 | 4 | 0.86202 | 48500.459 | 22:22:33.91 | +9:56:24.6 | 8.017 | 8.116 | 8.017 | c | predict |
| V 351 | p | 1 | 16 | 17 | 0.593284 | 55475.2883 | 23:25:25.19 | +15:41:19.1 | 8.003 | 8.312 | 8.003 | c | predict |
| V 351 | s | 1 | 16 | 17 | 0.593284 | 48500.345 | 23:25:25.19 | +15:41:19.1 | 8.003 | 8.312 | 8.003 | c | predict |
| V 357 | p | 1 | 24 | 41 | 0.578451 | 54061.5419 | 23:45:35.06 | +25:28:18.9 | 9.006 | 9.485 | 9.006 | c | predict |
| V 357 | s | 1 | 24 | 41 | 0.578451 | 54427.9896 | 23:45:35.06 | +25:28:18.9 | 9.006 | 9.485 | 9.006 | c | predict |
| V 365 | p | 9 | 1 | 19 | 1.080321 | 51304.612 | 21:39:26.38 | +23:1:38.4 | 10.12 | 10.59 | 10.12 | V | predict |
| V 365 | s | 9 | 1 | 19 | 1.080321 | 54335.4512 | 21:39:26.38 | +23:1:38.4 | 10.12 | 10.59 | 10.12 | V | predict |
| V 375 | p | 8 | 2 | 2 | 2.72891 | 52974.327 | 22:1:40.72 | +10:37:18.3 | 12.5 | 13.5 | 12.5 | c | predict |
| V 396 | p | 2 | 8 | 18 | 0.342286 | 54025.3911 | 23:32:32.57 | +10:33:19.5 | 12.12 | 12.43 | 12.12 | c | predict |
| V 396 | s | 2 | 8 | 18 | 0.342286 | 54025.5654 | 23:32:32.57 | +10:33:19.5 | 12.12 | 12.43 | 12.12 | c | predict |
| V 404 | p | 5 | 5 | 5 | 0.419183 | 55424.8096 | 22:56:30.9 | +33:55:12 | 10.47 | 10.77 | 10.47 | V | predict |
| V 404 | s | 5 | 5 | 5 | 0.419183 | 55412.8636 | 22:56:30.9 | +33:55:12 | 10.47 | 10.77 | 10.47 | V | predict |
| V 407 | p | 1 | 58 | 58 | 0.636885 | 52558.168 | 23:36:55.37 | +15:48:6 | 9.3 | 9.7 | 9.3 | V | predict |
| V 407 | s | 1 | 58 | 58 | 0.636885 | 54721.357 | 23:36:55.37 | +15:48:6 | 9.3 | 9.7 | 9.3 | V | predict |
| V 411 | p | 1 | 34 | 38 | 0.3770427 | 24769.66 | 21:30:40.66 | +25:7:59.5 | 14 | 14.8 | 14 | P | predict |
| V 411 | s | 1 | 34 | 38 | 0.3770427 | 24769.8485 | 21:30:40.66 | +25:7:59.5 | 14 | 14.8 | 14 | P | predict |
| V 414 | p | 10 | 0 | 1 | 3.69948 | 48367.865 | 22:21:18.4 | +5:43:42 | 8.49 | 8.6 | 8.49 | V | predict |
| V 415 | p | 10 | 0 | 1 | 11.4456 | 48223.16 | 22:41:58.8 | +15:13:16 | 8.15 | 8.25 | 8.24 | V | predict |
| V 416 | p | 10 | 0 | 1 | 1.424797 | 48560.5 | 23:1:5.9 | +26:46:53 | 8.13 | 8.19 | 8.19 | V | predict |
| V 421 | p | 8 | 2 | 3 | 3.087555 | 48254.13 | 0:7:2 | +22:50:40 | 8.28 | 8.8 | 8.28 | V | predict |
| V 421 | s | 8 | 2 | 3 | 3.087555 | 55832.542 | 0:7:2 | +22:50:40 | 8.28 | 8.8 | 8.28 | V | predict |
| G1129.1457 | p | 1 | 9 | 9 | 1.47809 | 52982.2341 | 21:49:0.29 | +12:16:0 | 13.3 | 13.7 | 13.3 | | predict |
| G2750.0854 | p | 2 | 8 | 9 | 0.471638 | 52884.4259 | 23:1:31 | +30:44:27 | 10.66 | 11.06 | 10.66 | c | predict |
| G2750.0854 | s | 2 | 8 | 9 | 0.471638 | 52884.662 | 23:1:31 | +30:44:27 | 10.66 | 11.06 | 10.66 | c | predict |
| SvkV001 | p | 1 | 9 | 10 | 0.556231 | 54279.641 | 21:39:43.38 | +26:34:46.5 | 14 | 14.5 | 14 | c | predict |
| SvkV001 | s | 1 | 9 | 10 | 0.556231 | 53236.4201 | 21:39:43.38 | +26:34:46.5 | 14 | 14.5 | 14 | c | predict |
| SvkV002 | p | 2 | 8 | 8 | 0.305983 | 54284.661 | 21:38:22.26 | +26:37:39 | 14 | 14.5 | 14 | c | predict |
| SvkV002 | s | 2 | 8 | 8 | 0.305983 | 53240.4718 | 21:38:22.26 | +26:37:39 | 14 | 14.5 | 14 | c | predict |
VYSVĚTLIVKY K TABULCE:
Star - název proměnné, 2. sloupec - primární / sekundární minima, 3. sloupec - "kanadské bodování" za posledních 10 let, N10 - počet pozorování za posledních 10 let, N - celkový počet pozorování, CCD, viz i pg minima mají stejnou hodnotu 1 bodu, PERIOD - perioda ve dnech, MIN0 - základní minimum, RA 2000 - rektascenze, DE 2000 - deklinace, MAX - hvězdná velikost v maximu, MINP - hvězdná velikost v primárním minimu, MINS - hvězdná velikost v sekundárním minimu, spektrální obor, pro který jsou údaje o hvězdné velikosti.
VÝPOČET KANADSKÉHO BODOVÁNÍ:
Pro každý objekt byla spočítána dostupná pozorování za posledních 10 let.
1 CCD minimu byla dána hodnota 1, 1 vizuálnímu / pg minimu byla dána hodnota 0,1.
Např. 1 CCD minimum + 1 vizuální minimum = hodnota N10 1.1
Pro takto získanou hodnotu N10 (počet CCD pozorování za posledních 10 let) byl proveden rozdíl 10 - N10 a zaokrouhlen na celé číslo. To pak představuje výsledné kanadské bodování sledovanosti systému.
Příklad: Pokud budeme mít za posledních 10 let 1 pozorování, bude mít objekt 9 bodů. 2 pozorování odpovídají 8 bodům, atd. až 10 a více pozorování odpovída 1 bodu stupnice.
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