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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 CMa
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| R | p | 1 | 47 | 409 | 1.13595 | 45391.234 | 7:19:28.08 | -16:23:41.7 | 5.7 | 6.34 | 5.7 | V | predict |
| R | s | 1 | 47 | 409 | 1.13595 | 44285.354 | 7:19:28.08 | -16:23:41.7 | 5.7 | 6.34 | 5.7 | V | predict |
| RR | p | 7 | 3 | 21 | 1.196257 | 25704.282 | 7:22:50.3 | -16:35:28 | 12.5 | 14.2 | 13.1 | P | predict |
| RR | s | 7 | 3 | 21 | 1.196257 | 25704.88 | 7:22:50.3 | -16:35:28 | 12.5 | 14.2 | 13.1 | P | predict |
| RT | p | 1 | 15 | 45 | 1.29374 | 55560.0425 | 6:13:13.5 | -17:39:16 | 11.4 | 12.9 | 11.5 | V | predict |
| RT | s | 1 | 15 | 45 | 1.29374 | 50094.6313 | 6:13:13.5 | -17:39:16 | 11.4 | 12.9 | 11.5 | V | predict |
| RU | p | 9 | 1 | 16 | 1.976173 | 53411.418 | 6:22:33.6 | -22:41:29 | 11.3 | 14.6 | 11.3 | V | predict |
| RX | p | 6 | 4 | 36 | 2.069088 | 42413.0587 | 7:13:51.9 | -18:9:41 | 11 | 13 | 11.1 | P | predict |
| SW | p | 7 | 3 | 42 | 10.091985 | 51885.725 | 7:8:15.24 | -22:26:25.3 | 9.15 | 9.75 | 9.7 | y | predict |
| SW | s | 7 | 3 | 42 | 10.091985 | 26709.366 | 7:8:15.24 | -22:26:25.3 | 9.15 | 9.75 | 9.7 | y | predict |
| SX | p | 1 | 9 | 37 | 1.62426 | 28095.41 | 7:10:7.18 | -16:14:28.4 | 10.1 | 11 | 10.3 | P | predict |
| SZ | p | 9 | 1 | 6 | 2.856055 | 26743.337 | 7:13:3.27 | -15:24:4.6 | 10.2 | 11.1 | 10.2 | V | predict |
| TU | p | 1 | 10 | 53 | 1.1278038 | 51869.204 | 6:31:36.7 | -24:9:50 | 9.8 | 10.5 | 10.2 | V | predict |
| TU | s | 1 | 10 | 53 | 1.1278038 | 26978.0089 | 6:31:36.7 | -24:9:50 | 9.8 | 10.5 | 10.2 | V | predict |
| TX | p | 10 | 0 | 7 | 2.397417 | 51926.805 | 6:13:24.6 | -22:32:52 | 9.6 | 10.8 | 9.6 | V | predict |
| TZ | p | 1 | 11 | 27 | 3.822864 | 27126.782 | 6:41:47.2 | -19:40:25 | 9.8 | 10.5 | 10.5 | V | predict |
| TZ | s | 1 | 11 | 27 | 3.822864 | 54538.6765 | 6:41:47.2 | -19:40:25 | 9.8 | 10.5 | 10.5 | V | predict |
| UU | p | 1 | 9 | 78 | 2.166475 | 44598.35 | 6:58:41.5 | -18:48:48 | 10 | 12.5 | 10 | P | predict |
| UW | p | 10 | 0 | 8 | 4.393407 | 36185.358 | 7:18:40.38 | -24:33:31.3 | 4.84 | 5.33 | 5.25 | V | predict |
| UW | s | 10 | 0 | 8 | 4.393407 | 36187.5547 | 7:18:40.38 | -24:33:31.3 | 4.84 | 5.33 | 5.25 | V | predict |
| UX | p | 10 | 0 | 10 | 1.858338 | 26706.235 | 7:20:21 | -12:14:28 | 11.7 | 12.6 | 12.3 | V | predict |
| UX | s | 10 | 0 | 10 | 1.858338 | 42785.532 | 7:20:21 | -12:14:28 | 11.7 | 12.6 | 12.3 | V | predict |
| VW | p | 7 | 3 | 5 | 0.7208281 | 27924.5894 | 7:12:25.5 | -25:29:58 | 9 | 9.2 | 9.1 | P | predict |
| VW | s | 7 | 3 | 5 | 0.7208281 | 54120.5647 | 7:12:25.5 | -25:29:58 | 9 | 9.2 | 9.1 | P | predict |
| XY | p | 10 | 0 | 2 | 1.40969 | 28060.751 | 7:0:1.9 | -22:31:26 | 13.3 | 13.9 | 13.3 | P | predict |
| YY | p | 10 | 0 | 16 | 5.61111 | 51904.44 | 7:0:51.9 | -19:14:31 | 12.3 | 12.7 | 12.3 | P | predict |
| ZZ | p | 10 | 0 | 10 | 2.703932 | 51874.514 | 7:1:47 | -19:35:54 | 12.7 | 13.7 | 13 | P | predict |
| AA | p | 10 | 0 | 3 | 1.401905 | 51869.557 | 7:4:44.9 | -24:31:9 | 13.8 | 15.9 | 13.8 | P | predict |
| AC | p | 10 | 0 | 10 | 3.406477 | 28069.195 | 7:8:18 | -19:40:2 | 12.8 | 15.3 | 12.8 | P | predict |
| AD | p | 8 | 2 | 4 | 0.7933042 | 53438.7463 | 7:13:19.5 | -19:30:43 | 13.5 | 13.7 | 13.5 | P | predict |
| AE | p | 10 | 0 | 2 | 3.493899 | 28061.153 | 7:13:49.1 | -18:22:7 | 13.1 | 13.8 | 13.1 | P | predict |
| AF | p | 10 | 0 | 2 | 8.382 | 52213.428 | 7:15:22.8 | -23:40:43 | 12.3 | 15.5 | 12.3 | P | predict |
| AG | p | 10 | 0 | 2 | 2.672562 | 51925.336 | 7:15:47.7 | -26:9:57 | 13.9 | 15 | 13.9 | P | predict |
| AH | p | 10 | 0 | 3 | 5.508513 | 28059.06 | 7:16:6.1 | -27:10:0 | 13.9 | 15.5 | 13.9 | P | predict |
| AK | p | 10 | 0 | 2 | 1.808247 | 28060.924 | 7:20:2.6 | -22:22:59 | 13.1 | 14.1 | 13.1 | P | predict |
| AP | p | 10 | 0 | 2 | 2.138138 | 28060.483 | 7:25:7.8 | -19:28:56 | 14.3 | 15.1 | 14.3 | P | predict |
| AR | p | 1 | 10 | 15 | 2.332227 | 54936.79042 | 7:5:56.17 | -24:40:59.7 | 11.9 | 12.5 | 12.5 | P | predict |
| AR | s | 1 | 10 | 15 | 2.332227 | 28061.37 | 7:5:56.17 | -24:40:59.7 | 11.9 | 12.5 | 12.5 | P | predict |
| AS | p | 10 | 0 | 2 | 1.180964 | 51869.29 | 7:6:3.2 | -22:49:30 | 14.7 | 15.6 | 14.7 | P | predict |
| AT | p | 10 | 0 | 2 | 10.06473 | 51877.48 | 7:6:51.8 | -25:58:40 | 12.5 | 14.1 | 12.5 | P | predict |
| AX | p | 10 | 0 | 2 | 2.622518 | 51867.72 | 7:13:45 | -24:54:26 | 14.5 | 16 | 14.5 | P | predict |
| AY | p | 10 | 0 | 2 | 7.37707 | 52200.99 | 7:16:44.6 | -22:36:13 | 12.9 | 14.6 | 12.9 | P | predict |
| BD | p | 10 | 0 | 2 | 44.45936 | 28076.89 | 7:21:6.2 | -26:2:15 | 13 | 13.6 | 13 | P | predict |
| BG | p | 10 | 0 | 3 | 1.73927 | 28061.278 | 6:56:4 | -25:39:1 | 13.7 | 14.6 | 13.7 | P | predict |
| BM | p | 10 | 0 | 4 | 5.122645 | 28064.092 | 7:5:31.4 | -21:54:57 | 14.5 | 16.5 | 14.5 | P | predict |
| BN | p | 10 | 0 | 4 | 0.628271 | 51868.67 | 7:10:38.9 | -25:39:22 | 14.8 | 15.8 | 14.9 | P | predict |
| BS | p | 10 | 0 | 3 | 0.5599472 | 51927.465 | 7:16:25.1 | -25:48:30 | 12.5 | 13 | 12.6 | P | predict |
| CE | p | 10 | 0 | 2 | 27.07285 | 51865.989 | 7:2:48.8 | -22:51:35 | 12.8 | 13.4 | 13.3 | P | predict |
| CH | p | 10 | 0 | 3 | 0.860954 | 51869.33 | 7:4:27.4 | -24:29:34 | 12.8 | 13.2 | 12.9 | P | predict |
| CI | p | 10 | 0 | 2 | 2.954513 | 28095.098 | 7:4:49.8 | -27:17:20 | 13.8 | 14.4 | 13.8 | P | predict |
| CM | p | 10 | 0 | 19 | 0.530919 | 28097.8 | 7:9:13.23 | -18:37:48.8 | 13 | 13.4 | 13.1 | P | predict |
| CR | p | 6 | 4 | 22 | 0.624141545 | 28094.488 | 7:18:2.1 | -19:40:58 | 12.1 | 13.1 | 12.4 | P | predict |
| CR | s | 6 | 4 | 22 | 0.624141545 | 52641.6634 | 7:18:2.1 | -19:40:58 | 12.1 | 13.1 | 12.4 | P | predict |
| CT | p | 10 | 0 | 2 | 1.751242 | 28096.374 | 7:17:56.5 | -26:17:37 | 12.3 | 14 | 12.3 | P | predict |
| CV | p | 6 | 4 | 14 | 3.628263 | 28044.81 | 7:19:23.5 | -18:42:39 | 13 | 13.6 | 13.5 | P | predict |
| CV | s | 6 | 4 | 14 | 3.628263 | 28046.624 | 7:19:23.5 | -18:42:39 | 13 | 13.6 | 13.5 | P | predict |
| CW | p | 8 | 2 | 5 | 2.11797737 | 42090.1657 | 7:21:52.5 | -23:47:37 | 8.58 | 8.98 | 8.94 | V | predict |
| CX | p | 7 | 3 | 6 | 0.9546236 | 28095.601 | 7:22:1 | -25:52:36 | 9.9 | 10.6 | 10.3 | P | predict |
| CX | s | 7 | 3 | 6 | 0.9546236 | 28096.0783 | 7:22:1 | -25:52:36 | 9.9 | 10.6 | 10.3 | P | predict |
| CZ | p | 9 | 1 | 3 | 0.818973 | 28078.738 | 7:23:57 | -18:56:5 | 13.4 | 13.7 | 13.4 | P | predict |
| DD | p | 10 | 0 | 8 | 2.008454 | 52136.862 | 7:24:6.7 | -19:10:47 | 11.6 | 12.4 | 11.8 | P | predict |
| DE | p | 9 | 1 | 5 | 0.6959637 | 28083.933 | 7:25:9.8 | -27:19:18 | 13 | 13.6 | 13.4 | P | predict |
| DE | s | 9 | 1 | 5 | 0.6959637 | 52278.1107 | 7:25:9.8 | -27:19:18 | 13 | 13.6 | 13.4 | P | predict |
| DO | p | 10 | 0 | 7 | 2.72529 | 52142.636 | 7:22:3.9 | -16:13:18 | 14 | 15.9 | 14 | P | predict |
| DP | p | 10 | 0 | 17 | 3.389002 | 52142.85 | 7:23:59.2 | -17:12:59 | 13 | 14.5 | 13 | P | predict |
| DQ | p | 10 | 0 | 21 | 0.425025 | 30326.564 | 7:25:2.9 | -16:19:42 | 14.8 | 15.8 | 14.8 | P | predict |
| EE | p | 10 | 0 | 28 | 0.89309 | 52348.34 | 7:23:11.8 | -15:19:32 | 13.8 | 14.8 | 13.8 | P | predict |
| EF | p | 10 | 0 | 30 | 59.3619 | 25647 | 7:24:37.7 | -17:29:19 | 11.3 | 12.1 | 11.3 | V | predict |
| EF | s | 10 | 0 | 30 | 59.36 | 25676.68 | 7:24:37.7 | -17:29:19 | 11.3 | 12.1 | 11.3 | V | predict |
| EG | p | 9 | 1 | 53 | 1.837826 | 52374.808 | 6:17:27.6 | -21:36:29 | 10.5 | 12 | 10.5 | P | predict |
| EG | s | 9 | 1 | 53 | 1.837826 | 25624.32891 | 6:17:27.6 | -21:36:29 | 10.5 | 12 | 10.5 | P | predict |
| EI | p | 9 | 1 | 2 | 10.6116 | 51954.045 | 6:35:29.4 | -17:55:20 | 12.47 | 14.1 | 12.47 | V | predict |
| EL | p | 10 | 0 | 6 | 2.627975 | 51869.231 | 6:37:38.9 | -20:1:14 | 13.5 | 14.5 | 13.5 | P | predict |
| EQ | p | 10 | 0 | 7 | 2.2915 | 47150.503 | 6:48:51.6 | -16:18:4 | 13.5 | 15 | 13.5 | P | predict |
| EX | p | 8 | 2 | 3 | 0.401505 | 37974 | 6:51:43.2 | -13:29:50 | 13 | 13.5 | 13 | V | predict |
| EX | s | 8 | 2 | 3 | 0.401505 | 37974.20075 | 6:51:43.2 | -13:29:50 | 13 | 13.5 | 13 | V | predict |
| FF | p | 8 | 2 | 27 | 1.2133742 | 28847.465 | 7:10:30.63 | -30:39:45 | 7.38 | 7.74 | 7.6 | V | predict |
| FF | s | 8 | 2 | 27 | 1.2133742 | 28848.07169 | 7:10:30.63 | -30:39:45 | 7.38 | 7.74 | 7.6 | V | predict |
| FM | p | 8 | 2 | 3 | 2.78945 | 53056.397 | 7:5:42.09 | -12:48:42.6 | 7.28 | 7.5 | 7.28 | V | predict |
| FM | s | 8 | 2 | 3 | 2.78945 | 48502.613 | 7:5:42.09 | -12:48:42.6 | 7.28 | 7.5 | 7.28 | V | predict |
| FQ | p | 10 | 0 | 2 | 0.724736 | 38433.4 | 7:4:43.8 | -28:43:55 | 9.6 | 10.2 | 9.7 | P | predict |
| FZ | p | 1 | 12 | 40 | 1.273036 | 54824.0449 | 7:2:42.62 | -11:27:11.6 | 8.05 | 8.44 | 8.44 | V | predict |
| FZ | s | 1 | 12 | 40 | 1.273036 | 41742.951 | 7:2:42.62 | -11:27:11.6 | 8.05 | 8.44 | 8.44 | V | predict |
| GZ | p | 10 | 0 | 13 | 4.80084 | 48502.482 | 7:16:19.21 | -16:43:0 | 8.1 | 8.7 | 8.1 | P | predict |
| GZ | s | 10 | 0 | 13 | 4.80084 | 52230.228 | 7:16:19.21 | -16:43:0 | 8.1 | 8.7 | 8.1 | P | predict |
| HW | p | 10 | 0 | 2 | 21.1178329 | 52279.6787 | 7:8:21.86 | -22:24:29.9 | 9.19 | 9.29 | 9.19 | V | predict |
| HW | s | 10 | 0 | 2 | 21.1178329 | 52290.238 | 7:8:21.86 | -22:24:29.9 | 9.19 | 9.29 | 9.19 | V | predict |
| II | p | 8 | 2 | 5 | 0.22919704 | 54153.0961 | 6:57:36.39 | -13:14:36.4 | 15.22 | 15.74 | 15.22 | V | predict |
| II | s | 8 | 2 | 5 | 0.22919704 | 54153.2107 | 6:57:36.39 | -13:14:36.4 | 15.22 | 15.74 | 15.22 | V | predict |
| IO | p | 10 | 0 | 2 | 2.872125 | 51979.057 | 6:12:22.45 | -30:28:53.5 | 8.46 | 8.707 | 8.46 | c | predict |
| IQ | p | 8 | 2 | 5 | 0.731377 | 48500.1684 | 6:12:37.25 | -25:16:7.1 | 9.244 | 9.633 | 9.244 | c | predict |
| IS | p | 6 | 4 | 5 | 0.616983 | 48500.359 | 6:20:56.38 | -29:40:14.4 | 6.932 | 7.436 | 6.932 | P | predict |
| IS | s | 6 | 4 | 5 | 0.616983 | 52787.47 | 6:20:56.38 | -29:40:14.4 | 6.932 | 7.436 | 6.932 | P | predict |
| IX | p | 10 | 0 | 4 | 10.74285 | 48506.054 | 6:28:5.62 | -27:8:37 | 7.769 | 7.836 | 7.769 | c | predict |
| IX | s | 10 | 0 | 4 | 10.74285 | 48511.4255 | 6:28:5.62 | -27:8:37 | 7.769 | 7.836 | 7.769 | c | predict |
| KL | p | 1 | 15 | 25 | 1.76222 | 54828.0339 | 6:30:29.79 | -14:57:15.7 | 6.73 | 6.97 | 6.73 | c | predict |
| KL | s | 1 | 15 | 25 | 1.76222 | 48171.228 | 6:30:29.79 | -14:57:15.7 | 6.73 | 6.97 | 6.73 | c | predict |
| KT | p | 8 | 2 | 4 | 5.19007 | 48700.185 | 6:49:50.25 | -11:30:23.9 | 9.4 | 9.76 | 9.4 | V | predict |
| KT | s | 8 | 2 | 4 | 5.19007 | 48702.78005 | 6:49:50.25 | -11:30:23.9 | 9.4 | 9.76 | 9.4 | V | predict |
| KV | p | 10 | 0 | 3 | 68.3842 | 48353.43 | 6:50:52.67 | -20:54:37.4 | 7.16 | 7.4 | 7.16 | V | predict |
| LT | p | 1 | 11 | 19 | 1.759535 | 48388.537 | 7:4:2.63 | -12:17:17.4 | 7.38 | 7.56 | 7.38 | c | predict |
| LT | s | 1 | 11 | 19 | 1.759535 | 48389.445 | 7:4:2.63 | -12:17:17.4 | 7.38 | 7.56 | 7.38 | c | predict |
| LV | p | 9 | 1 | 3 | 1.18348 | 48500.92 | 7:6:30.47 | -11:32:16.3 | 8.653 | 8.831 | 8.653 | c | predict |
| LV | s | 9 | 1 | 3 | 1.18348 | 54120.685 | 7:6:30.47 | -11:32:16.3 | 8.653 | 8.831 | 8.653 | c | predict |
| LZ | p | 10 | 0 | 1 | 3.3089 | 48500.492 | 7:9:43.03 | -25:13:51.8 | 5.622 | 5.657 | 5.622 | c | predict |
| MP | p | 10 | 0 | 2 | 1.96326 | 51926.843 | 7:14:48.28 | -21:1:26.7 | 8.297 | 8.482 | 8.297 | c | predict |
| MV | p | 9 | 1 | 3 | 1.31125 | 48500.5024 | 7:18:9.91 | -30:5:4.6 | 9.739 | 10.082 | 9.739 | c | predict |
| QU | p | 10 | 0 | 1 | 0.63882 | 51998.466 | 7:13:54.6 | -25:49:20 | 11.76 | 12.14 | 11.76 | V | predict |
| V 362 | p | 10 | 0 | 1 | 10.585 | 51982.584 | 6:26:50.3 | -23:15:6 | 9.57 | 9.79 | 9.69 | V | predict |
| V 375 | p | 10 | 0 | 1 | 2.354 | 51920.655 | 6:52:5.7 | -13:29:57 | 12.07 | 13.08 | 12.07 | V | predict |
| V 377 | p | 10 | 0 | 1 | 3.01351 | 48323.304 | 6:55:16.1 | -17:12:55 | 7.88 | 7.98 | 7.88 | V | predict |
| V 378 | p | 9 | 1 | 1 | 0.877912 | 52967.757 | 6:57:14.1 | -31:24:58 | 10.6 | 11.05 | 10.76 | V | predict |
| V 381 | p | 9 | 1 | 1 | 3.37443 | 52942.804 | 7:1:32.1 | -27:51:34 | 7.73 | 7.82 | 7.78 | V | predict |
| V 388 | p | 9 | 1 | 1 | 2.9826 | 53067.651 | 7:6:7.4 | -12:57:8 | 8.25 | 8.43 | 8.34 | V | predict |
| V 388 | s | 9 | 1 | 1 | 2.9826 | 53069.47 | 7:6:7.4 | -12:57:8 | 8.25 | 8.43 | 8.34 | V | predict |
| V 391 | p | 10 | 0 | 1 | 1.7569 | 51922.66 | 7:9:46.2 | -20:5:35 | 10.06 | 10.55 | 10.25 | V | predict |
| V 397 | p | 10 | 0 | 1 | 2.53153 | 52215.795 | 7:15:18.3 | -16:16:12 | 11.13 | 11.6 | 11.53 | V | predict |
| V 398 | p | 10 | 0 | 1 | 2.198515 | 47912.729 | 7:23:34.6 | -31:18:0 | 7.98 | 8.11 | 8.02 | V | predict |
| V 401 | p | 10 | 0 | 1 | 0.69123 | 48939.6704 | 6:15:29.9 | -18:40:40 | 17.75 | 18.08 | 17.75 | V | predict |
| V 402 | p | 10 | 0 | 1 | 6.94454 | 48566.7517 | 6:15:33.9 | -18:39:22 | 15.84 | 16.29 | 15.84 | V | predict |
| V 403 | p | 10 | 0 | 1 | 2.0639 | 48668.528 | 6:15:46.1 | -18:37:7 | 16.02 | 16.1 | 16.02 | V | predict |
| V 404 | p | 10 | 0 | 1 | 0.45178 | 48566.8295 | 6:15:55.4 | -18:44:52 | 17.45 | 18.4 | 17.45 | V | predict |
| V 405 | p | 10 | 0 | 1 | 0.384692 | 51868.231 | 6:24:26.2 | -20:44:54 | 10.64 | 10.98 | 10.64 | V | predict |
| V 410 | p | 10 | 0 | 1 | 3.257344 | 50456.57 | 6:29:34.3 | -31:16:18 | 17.17 | 17.33 | 17.17 | V | predict |
| V 411 | p | 10 | 0 | 1 | 1.382703 | 48225.7332 | 6:29:35.7 | -31:17:4 | 15.15 | 16.2 | 15.15 | V | predict |
| V 413 | p | 10 | 0 | 1 | 6.2568 | 50457.835 | 6:29:45.3 | -31:17:19 | 18.39 | 18.58 | 18.39 | V | predict |
| V 415 | p | 10 | 0 | 1 | 1.98571 | 48401.484 | 6:36:41.06 | -22:36:53 | 6.34 | 6.48 | 6.34 | V | predict |
| V 416 | p | 10 | 0 | 1 | 0.418639 | 51868.247 | 6:52:32 | -25:33:30 | 8.61 | 8.99 | 8.61 | V | predict |
| V 419 | p | 9 | 1 | 1 | 1.27288 | 54526.63 | 7:9:22.55 | -16:20:30.7 | 12.85 | 13.3 | 13.05 | V | predict |
| V 422 | p | 10 | 0 | 1 | 4.19184 | 51993.495 | 7:18:21.94 | -24:51:11.9 | 8.91 | 9.07 | 8.91 | V | predict |
| V 427 | p | 9 | 1 | 1 | 3.5485 | 53459.653 | 7:24:38.42 | -28:38:0.5 | 12.85 | 14 | 12.85 | V | 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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Pozorovací DENÍKY