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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 Mon
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| RU | p | 1 | 12 | 159 | 3.584645 | 54540.6754 | 6:54:12.32 | -7:35:45 | 10.33 | 11.18 | 11.06 | V | predict |
| RU | s | 1 | 12 | 159 | 3.584645 | 41745.08 | 6:54:12.32 | -7:35:45 | 10.33 | 11.18 | 11.06 | V | predict |
| RW | p | 1 | 32 | 351 | 1.906092 | 53743.936 | 6:34:45.89 | +8:49:32.2 | 9.26 | 11.51 | 9.45 | V | predict |
| RW | s | 1 | 32 | 351 | 1.906092 | 24116.593 | 6:34:45.89 | +8:49:32.2 | 9.26 | 11.51 | 9.45 | V | predict |
| TU | p | 8 | 2 | 51 | 5.04901 | 34068.123 | 7:53:19.75 | -3:2:31.1 | 9.3 | 11.1 | 9.4 | V | predict |
| TV | p | 8 | 2 | 29 | 4.179747 | 52990.425 | 6:28:22.73 | +5:12:57.1 | 12 | 13.9 | 12 | P | predict |
| UU | p | 4 | 6 | 36 | 1.049817 | 32939.43 | 6:59:45.07 | +2:12:28.8 | 12.8 | 14.1 | 12.8 | P | predict |
| UV | p | 1 | 9 | 22 | 0.415677 | 32965.249 | 7:2:59.95 | +0:37:18.9 | 12.5 | 13.3 | 12.5 | V | predict |
| UX | p | 8 | 2 | 52 | 5.90453 | 55618.3556 | 7:59:16.37 | -7:30:17.9 | 8.22 | 9.16 | 8.52 | V | predict |
| UY | p | 10 | 0 | 19 | 1.261256 | 51273.803 | 6:58:50.31 | +9:37:21.8 | 9.6 | 10.1 | 9.6 | V | predict |
| UY | s | 10 | 0 | 19 | 1.261256 | 39533.413 | 6:58:50.31 | +9:37:21.8 | 9.6 | 10.1 | 9.6 | V | predict |
| VV | p | 7 | 3 | 63 | 6.05056 | 26037.543 | 7:3:18.29 | -5:44:15.5 | 9.4 | 9.95 | 9.55 | V | predict |
| VX | p | 6 | 4 | 20 | 1.629627 | 55894.9613 | 6:31:0.04 | +9:18:18.8 | 12.8 | 14.3 | 12.87 | P | predict |
| XZ | p | 6 | 4 | 30 | 0.876084 | 52712.3494 | 6:53:36.42 | -4:13:21.4 | 13.4 | 15.1 | 13.6 | P | predict |
| XZ | s | 6 | 4 | 30 | 0.876084 | 30788.781 | 6:53:36.42 | -4:13:21.4 | 13.4 | 15.1 | 13.6 | P | predict |
| YZ | p | 10 | 0 | 9 | 2.055264 | 25655.407 | 6:57:17.92 | -6:23:35 | 14.1 | 16.2 | 14.1 | P | predict |
| AB | p | 10 | 0 | 7 | 9.51849 | 25324.39 | 7:0:45.34 | -7:50:34 | 13.8 | 15.7 | 13.8 | P | predict |
| AE | p | 9 | 1 | 10 | 3.228708 | 54164.4031 | 7:1:25 | -2:20:20.4 | 13.2 | 14.6 | 13.2 | P | predict |
| AN | p | 10 | 0 | 19 | 2.4458028 | 51504.308 | 6:59:36.35 | -10:37:21.8 | 11.6 | 12.7 | 11.7 | V | predict |
| AO | p | 1 | 16 | 67 | 1.884763 | 54100.1971 | 7:6:36.3 | -4:37:24.5 | 9.6 | 10.23 | 10.16 | V | predict |
| AO | s | 1 | 16 | 67 | 1.884763 | 40589.27 | 7:6:36.3 | -4:37:24.5 | 9.6 | 10.23 | 10.16 | V | predict |
| AQ | p | 2 | 8 | 50 | 2.5455527 | 53056.3602 | 7:14:17.67 | -7:13:45.1 | 10.5 | 11.3 | 10.5 | P | predict |
| AQ | s | 2 | 8 | 50 | 2.5455527 | 27477.391 | 7:14:17.67 | -7:13:45.1 | 10.5 | 11.3 | 10.5 | P | predict |
| AR | p | 8 | 2 | 62 | 21.20792 | 53073.96 | 7:20:48.45 | -5:15:35.8 | 8.62 | 9.47 | 9.03 | V | predict |
| AR | s | 8 | 2 | 62 | 21.20792 | 26617.01 | 7:20:48.45 | -5:15:35.8 | 8.62 | 9.47 | 9.03 | V | predict |
| AS | p | 6 | 4 | 20 | 1.8365313 | 53711.2335 | 7:22:23.58 | -8:51:59.2 | 10.7 | 11.4 | 10.7 | V | predict |
| AT | p | 2 | 8 | 49 | 2.02902 | 53029.4062 | 7:24:29.93 | -7:33:30.3 | 10.5 | 11.4 | 10.5 | P | predict |
| AT | s | 2 | 8 | 49 | 2.02902 | 26608.515 | 7:24:29.93 | -7:33:30.3 | 10.5 | 11.4 | 10.5 | P | predict |
| AU | p | 10 | 0 | 56 | 11.1125 | 42801.375 | 6:54:54.71 | -1:22:32.8 | 8.11 | 9.06 | 8.2 | V | predict |
| AU | s | 10 | 0 | 56 | 11.1125 | 42806.93172 | 6:54:54.71 | -1:22:32.8 | 8.11 | 9.06 | 8.2 | V | predict |
| AV | p | 7 | 3 | 17 | 6.947312 | 55207.0515 | 7:28:16.06 | -4:36:50.5 | 10.8 | 11.7 | 10.84 | V | predict |
| AW | p | 9 | 1 | 24 | 20.81824 | 35932.9 | 7:48:43.8 | -10:26:41.7 | 10.5 | 12.2 | 10.5 | P | predict |
| AY | p | 6 | 4 | 17 | 2.144241 | 28247.464 | 6:53:17.97 | +9:8:16.2 | 13.3 | 15.5 | 13.3 | V | predict |
| AY | s | 6 | 4 | 17 | 2.144241 | 28248.53612 | 6:53:17.97 | +9:8:16.2 | 13.3 | 15.5 | 13.3 | V | predict |
| BB | p | 1 | 21 | 99 | 0.7326987 | 26681.5628 | 7:1:16.48 | -8:41:42.6 | 10.6 | 11.3 | 10.64 | P | predict |
| BH | p | 10 | 0 | 19 | 2.324653 | 26297.576 | 6:56:38.69 | +9:19:23.9 | 14 | 15 | 14 | P | predict |
| BM | p | 1 | 18 | 92 | 1.2449444 | 27455.398 | 7:8:45.29 | +0:41:46.1 | 12.2 | 13.8 | 12.3 | P | predict |
| BM | s | 1 | 18 | 92 | 1.2449444 | 27456.02 | 7:8:45.29 | +0:41:46.1 | 12.2 | 13.8 | 12.3 | P | predict |
| BO | p | 1 | 13 | 145 | 2.225206 | 53365.2606 | 7:59:50.14 | -3:28:36.7 | 10 | 12.1 | 10.1 | V | predict |
| BP | p | 10 | 0 | 18 | 2.056981 | 51511.663 | 6:56:55.42 | +5:1:43.8 | 13.1 | 15.7 | 13.1 | P | predict |
| BZ | p | 8 | 2 | 23 | 3.451721 | 52964.581 | 6:37:38.23 | +4:57:46.2 | 12.1 | 15.4 | 12.1 | P | predict |
| CC | p | 8 | 2 | 10 | 1.619514 | 55538.8876 | 6:39:56.31 | +6:42:28.6 | 13.7 | 14.4 | 13.7 | P | predict |
| CE | p | 10 | 0 | 14 | 4.109437 | 25620.596 | 6:46:57.42 | +3:3:26.2 | 14.1 | 16.3 | 14.2 | P | predict |
| CF | p | 8 | 2 | 11 | 2.6104738 | 30049.206 | 6:49:21.99 | -0:23:46.6 | 13.6 | 14.9 | 13.7 | P | predict |
| CF | s | 8 | 2 | 11 | 2.6104738 | 51166.676 | 6:49:21.99 | -0:23:46.6 | 13.6 | 14.9 | 13.7 | P | predict |
| CH | p | 10 | 0 | 8 | 6.922487 | 26040.42 | 6:51:38.1 | +5:56:12.6 | 13.1 | 15.9 | 13.1 | P | predict |
| CK | p | 7 | 3 | 15 | 2.057036 | 52279.3928 | 6:53:46.78 | +5:36:42.1 | 12.7 | 14.4 | 12.7 | P | predict |
| CP | p | 7 | 3 | 19 | 1.8836813 | 25981.575 | 7:0:11.9 | +4:8:25.3 | 13 | 13.9 | 13 | P | predict |
| DD | p | 1 | 28 | 99 | 0.5680155 | 30321.453 | 6:45:57.84 | -0:17:31.9 | 10.61 | 11.09 | 10.61 | V | predict |
| DD | s | 1 | 28 | 99 | 0.5680155 | 30321.737 | 6:45:57.84 | -0:17:31.9 | 10.61 | 11.09 | 10.61 | V | predict |
| DN | p | 8 | 2 | 14 | 1.201339 | 27397.528 | 6:57:15.77 | +4:56:14.6 | 13.2 | 14 | 13.9 | P | predict |
| DN | s | 8 | 2 | 14 | 1.201339 | 27398.129 | 6:57:15.77 | +4:56:14.6 | 13.2 | 14 | 13.9 | P | predict |
| DQ | p | 10 | 0 | 16 | 20.14135 | 35164.405 | 6:31:44.56 | +6:57:40.7 | 12.5 | 14.7 | 12.5 | P | predict |
| DR | p | 10 | 0 | 16 | 3.382718 | 27397.484 | 6:33:1.85 | +6:8:3.9 | 14.1 | 15 | 14.1 | P | predict |
| DR | s | 10 | 0 | 16 | 3.382718 | 27399.175 | 6:33:1.85 | +6:8:3.9 | 14.1 | 15 | 14.1 | P | predict |
| DW | p | 9 | 1 | 13 | 3.5693492 | 53385.715 | 6:47:51.37 | -2:41:19 | 12.9 | 13.4 | 12.9 | P | predict |
| EH | p | 9 | 1 | 8 | 3.634765 | 54179.6989 | 6:52:8.69 | -7:3:52.9 | 13.8 | 16.3 | 13.8 | P | predict |
| EI | p | 8 | 2 | 16 | 0.9107425 | 55544.9255 | 6:52:27.28 | -5:45:51.5 | 13.9 | 14.4 | 13.9 | P | predict |
| EP | p | 1 | 11 | 88 | 1.148101 | 53692.1718 | 6:56:33.42 | -5:21:10.3 | 10.5 | 11.1 | 10.5 | V | predict |
| ES | p | 10 | 0 | 12 | 11.99906 | 51868.604 | 6:59:48.65 | -7:25:11.1 | 13 | 14.6 | 13 | P | predict |
| ET | p | 10 | 0 | 9 | 4.343621 | 25619.311 | 7:0:52.89 | -7:24:18.4 | 15.2 | 16.5 | 15.2 | P | predict |
| EW | p | 7 | 3 | 16 | 1.239695 | 54078.8256 | 7:1:30.52 | -8:1:10.9 | 13.8 | 14.2 | 14.2 | P | predict |
| EW | s | 7 | 3 | 16 | 1.239695 | 25299.92 | 7:1:30.52 | -8:1:10.9 | 13.8 | 14.2 | 14.2 | P | predict |
| EZ | p | 4 | 6 | 23 | 0.3761654 | 26308.678 | 7:5:25.37 | -5:10:36.7 | 12.9 | 13.4 | 12.9 | P | predict |
| FH | p | 8 | 2 | 17 | 1.425071 | 52730.336 | 7:8:49.39 | -2:32:0.6 | 14.1 | 15.7 | 14.14 | P | predict |
| FN | p | 10 | 0 | 20 | 1.454686 | 25653.44 | 7:13:46.58 | -9:9:47.4 | 13.5 | 15.2 | 13.5 | P | predict |
| FP | p | 10 | 0 | 9 | 2.098473 | 45004.346 | 7:15:8.84 | -9:57:47.6 | 13.3 | 16.3 | 13.3 | P | predict |
| FS | p | 6 | 4 | 52 | 1.905867 | 34453.257 | 7:24:42.3 | -5:9:14.6 | 10.5 | 11.5 | 11.2 | P | predict |
| FS | s | 6 | 4 | 52 | 1.905867 | 34454.21 | 7:24:42.3 | -5:9:14.6 | 10.5 | 11.5 | 11.2 | P | predict |
| FV | p | 9 | 1 | 9 | 7.51877 | 28543.38 | 6:52:17.66 | +8:48:38.9 | 11.5 | 13.9 | 11.5 | P | predict |
| FW | p | 9 | 1 | 74 | 3.8735903 | 27562.22 | 7:57:38.36 | -7:11:22.1 | 9.4 | 10.6 | 9.44 | P | predict |
| FZ | p | 10 | 0 | 8 | 3.7025 | 30784.51 | 6:59:22.52 | -7:58:0.5 | 13.8 | 14.9 | 13.8 | P | predict |
| GG | p | 8 | 2 | 16 | 2.484734 | 53765.3329 | 7:2:55.35 | -1:16:12.9 | 13 | 14.1 | 13 | P | predict |
| GH | p | 6 | 4 | 45 | 0.7071845 | 30187.569 | 7:4:41.44 | -2:28:19 | 12.8 | 13.7 | 13.1 | P | predict |
| GH | s | 6 | 4 | 45 | 0.7071845 | 30187.92259 | 7:4:41.44 | -2:28:19 | 12.8 | 13.7 | 13.1 | P | predict |
| GO | p | 10 | 0 | 22 | 12.4668 | 27100.25 | 6:34:30.52 | +9:24:13.5 | 12.5 | 14.7 | 12.5 | P | predict |
| GU | p | 1 | 10 | 35 | 0.896647 | 30345.347 | 6:44:46.87 | +0:13:18.3 | 11.821 | 12.371 | 11.821 | V | predict |
| GU | s | 1 | 10 | 35 | 0.896647 | 30345.795 | 6:44:46.87 | +0:13:18.3 | 11.821 | 12.371 | 11.821 | V | predict |
| GV | p | 10 | 0 | 2 | 5.015313 | 51459.87 | 6:49:41.61 | +0:28:11.5 | 14.2 | 15.6 | 14.24 | P | predict |
| HI | p | 6 | 4 | 45 | 1.5744326 | 30315.35 | 6:55:49.06 | -4:2:35.8 | 9.3 | 10.1 | 9.9 | V | predict |
| HI | s | 6 | 4 | 45 | 1.5744326 | 30316.13722 | 6:55:49.06 | -4:2:35.8 | 9.3 | 10.1 | 9.9 | V | predict |
| HK | p | 9 | 1 | 14 | 1.835577 | 30376.59 | 6:57:8.16 | +11:40:54.5 | 13.8 | 16.2 | 13.8 | P | predict |
| HM | p | 1 | 17 | 106 | 0.40765587 | 44631.323 | 7:3:2.89 | +0:13:49.4 | 13.4 | 14.2 | 13.6 | P | predict |
| HM | s | 1 | 17 | 106 | 0.40765587 | 44631.52683 | 7:3:2.89 | +0:13:49.4 | 13.4 | 14.2 | 13.6 | P | predict |
| HO | p | 10 | 0 | 17 | 7.894377 | 29999.39 | 7:10:17 | +0:25:28.9 | 11.4 | 14.2 | 11.4 | P | predict |
| HP | p | 8 | 2 | 20 | 1.454616 | 53398.7696 | 7:10:30.73 | -5:33:0.4 | 13.2 | 15.4 | 13.2 | P | predict |
| HP | s | 8 | 2 | 20 | 1.454616 | 55629.3973 | 7:10:30.73 | -5:33:0.4 | 13.2 | 15.4 | 13.2 | P | predict |
| HT | p | 10 | 0 | 2 | 1.285945 | 30110.238 | 7:17:36.16 | -6:16:54.1 | 13.8 | 14.7 | 13.8 | P | predict |
| HU | p | 10 | 0 | 42 | 5.88148 | 30793.374 | 7:19:38.68 | -2:0:21.4 | 12.8 | 14.4 | 12.8 | P | predict |
| HV | p | 10 | 0 | 19 | 4.5482 | 51456.904 | 7:20:35.71 | -6:29:1.5 | 13.1 | 14.7 | 13.1 | P | predict |
| HX | p | 10 | 0 | 8 | 2.710563 | 44930.487 | 7:36:47.16 | -10:49:41 | 13.4 | 15.7 | 13.4 | P | predict |
| HY | p | 10 | 0 | 39 | 7.28268 | 51868.299 | 7:44:51.03 | -7:32:49.3 | 11.5 | 12.4 | 12.2 | P | predict |
| HY | s | 10 | 0 | 39 | 7.28268 | 25625.158 | 7:44:51.03 | -7:32:49.3 | 11.5 | 12.4 | 12.2 | P | predict |
| IL | p | 1 | 10 | 41 | 4.0263 | 54514.3763 | 7:55:35.95 | -3:34:55.5 | 10.6 | 11.6 | 10.6 | P | predict |
| IM | p | 8 | 2 | 17 | 1.1902417 | 33340.168 | 6:23:1.47 | -3:16:37.1 | 6.4 | 6.49 | 6.47 | B | predict |
| IM | s | 8 | 2 | 17 | 1.1902417 | 33340.763 | 6:23:1.47 | -3:16:37.1 | 6.4 | 6.49 | 6.47 | B | predict |
| IS | p | 10 | 0 | 20 | 4.04767 | 51276.347 | 6:45:14.2 | +10:5:47 | 11.5 | 13.5 | 11.55 | P | predict |
| IU | p | 7 | 3 | 17 | 5.6386 | 27502.182 | 6:55:6.2 | +10:12:41.7 | 12.5 | 14.8 | 12.5 | P | predict |
| IX | p | 3 | 7 | 33 | 1.103269 | 53650.5772 | 6:57:47.48 | +11:48:21 | 12.6 | 13.1 | 12.8 | P | predict |
| IX | s | 3 | 7 | 33 | 1.103269 | 54882.3766 | 6:57:47.48 | +11:48:21 | 12.6 | 13.1 | 12.8 | P | predict |
| IZ | p | 1 | 22 | 57 | 0.779805 | 55620.35226 | 7:0:44.84 | +8:49:3 | 11.9 | 12.6 | 12 | P | predict |
| IZ | s | 1 | 22 | 57 | 0.779805 | 55629.32317 | 7:0:44.84 | +8:49:3 | 11.9 | 12.6 | 12 | P | predict |
| KR | p | 1 | 9 | 13 | 1.150959 | 54791.5462 | 7:56:22.98 | -0:43:43.5 | 11.28 | 11.7 | 11.28 | c | predict |
| KR | s | 1 | 9 | 13 | 1.150959 | 54825.4988 | 7:56:22.98 | -0:43:43.5 | 11.28 | 11.7 | 11.28 | c | predict |
| MU | p | 10 | 0 | 8 | 1.2 | 33682.27 | 7:2:50.17 | +11:31:8.3 | 14.1 | 14.6 | 14.1 | P | predict |
| MX | p | 8 | 2 | 51 | 0.686442 | 53032.6758 | 7:12:33.03 | -4:27:13.8 | 11.4 | 12.1 | 11.7 | P | predict |
| MX | s | 8 | 2 | 51 | 0.686442 | 30130.56 | 7:12:33.03 | -4:27:13.8 | 11.4 | 12.1 | 11.7 | P | predict |
| NN | p | 5 | 5 | 25 | 0.9123617 | 53407.4316 | 7:19:26.13 | -1:26:33.7 | 12.7 | 13.9 | 12.9 | P | predict |
| NN | s | 5 | 5 | 25 | 0.9123617 | 30131.7092 | 7:19:26.13 | -1:26:33.7 | 12.7 | 13.9 | 12.9 | P | predict |
| NS | p | 4 | 6 | 91 | 1.777618 | 54097.108 | 6:36:8.03 | +7:51:43.6 | 10.6 | 11.1 | 11.1 | P | predict |
| NS | s | 4 | 6 | 91 | 1.777618 | 55559.1997 | 6:36:8.03 | +7:51:43.6 | 10.6 | 11.1 | 11.1 | P | predict |
| PR | p | 9 | 1 | 23 | 1.12371 | 29726.2 | 7:38:21.49 | -10:4:46.2 | 11 | 11.7 | 11 | P | predict |
| PR | s | 9 | 1 | 23 | 1.12371 | 29726.762 | 7:38:21.49 | -10:4:46.2 | 11 | 11.7 | 11 | P | predict |
| V 380 | p | 8 | 2 | 32 | 0.99588 | 55627.3697 | 6:52:9.18 | -1:37:23.1 | 11.7 | 12.4 | 12.4 | V | predict |
| V 380 | s | 8 | 2 | 32 | 0.99588 | 25622.998 | 6:52:9.18 | -1:37:23.1 | 11.7 | 12.4 | 12.4 | V | predict |
| V 383 | p | 7 | 3 | 15 | 0.634689 | 34776.373 | 7:4:37.89 | -1:55:46.3 | 14.7 | 15.4 | 15.2 | P | predict |
| V 383 | s | 7 | 3 | 15 | 0.634689 | 53474.6296 | 7:4:37.89 | -1:55:46.3 | 14.7 | 15.4 | 15.2 | P | predict |
| V 384 | p | 3 | 7 | 29 | 1.118481 | 34769.533 | 7:6:51.51 | -0:41:1.7 | 12.6 | 13.1 | 13 | P | predict |
| V 384 | s | 3 | 7 | 29 | 1.118481 | 34770.092 | 7:6:51.51 | -0:41:1.7 | 12.6 | 13.1 | 13 | P | predict |
| V 393 | p | 10 | 0 | 1 | 4.121715 | 33006.354 | 6:35:10.09 | -0:49:10.9 | 14.1 | 15.3 | 14.3 | P | predict |
| V 394 | p | 10 | 0 | 9 | 4.2650821 | 33706.328 | 6:36:49.14 | -3:52:18.4 | 12 | 13.2 | 12.04 | P | predict |
| V 395 | p | 6 | 4 | 23 | 3.368582 | 53780.431 | 6:37:5.6 | +2:21:13.2 | 12.7 | 13.8 | 12.7 | P | predict |
| V 396 | p | 1 | 36 | 122 | 0.3963436 | 34769.407 | 6:38:36.48 | +3:36:17.1 | 12.6 | 13.6 | 13.5 | P | predict |
| V 396 | s | 1 | 36 | 122 | 0.3963436 | 55238.3894 | 6:38:36.48 | +3:36:17.1 | 12.6 | 13.6 | 13.5 | P | predict |
| V 397 | p | 8 | 2 | 20 | 4.70386 | 55600.4423 | 6:38:30.71 | -4:21:49.1 | 11.7 | 12.7 | 11.9 | P | predict |
| V 404 | p | 8 | 2 | 12 | 2.445208 | 33304.471 | 6:39:29 | -0:44:30.9 | 13.1 | 13.7 | 13.1 | P | predict |
| V 442 | p | 4 | 6 | 23 | 1.667015 | 53109.1384 | 6:42:19.52 | +3:48:22.4 | 11.2 | 11.7 | 11.6 | P | predict |
| V 442 | s | 4 | 6 | 23 | 1.667015 | 54840.3422 | 6:42:19.52 | +3:48:22.4 | 11.2 | 11.7 | 11.6 | P | predict |
| V 445 | p | 10 | 0 | 0 | 3.131015 | 33220.576 | 6:43:8.4 | -1:46:43.1 | 10.6 | 11.3 | 11 | V | predict |
| V 448 | p | 1 | 15 | 33 | 1.11847 | 54507.4142 | 6:47:44.99 | +1:22:17.9 | 9.4 | 9.9 | 9.8 | P | predict |
| V 448 | s | 1 | 15 | 33 | 1.11847 | 32889.066 | 6:47:44.99 | +1:22:17.9 | 9.4 | 9.9 | 9.8 | P | predict |
| V 449 | p | 10 | 0 | 8 | 2.33922832 | 32939.478 | 6:47:56.44 | +2:47:55.7 | 14.2 | 15.7 | 14.2 | P | predict |
| V 450 | p | 6 | 4 | 35 | 2.597008 | 32233.339 | 6:49:19.31 | +0:19:51.1 | 11.4 | 12 | 11.9 | V | predict |
| V 450 | s | 6 | 4 | 35 | 2.597008 | 51501.8426 | 6:49:19.31 | +0:19:51.1 | 11.4 | 12 | 11.9 | V | predict |
| V 451 | p | 8 | 2 | 7 | 1.83209 | 54535.38135 | 6:49:38.57 | +1:16:2.5 | 14.4 | 15.2 | 14.7 | P | predict |
| V 451 | s | 8 | 2 | 7 | 1.83209 | 33707.255 | 6:49:38.57 | +1:16:2.5 | 14.4 | 15.2 | 14.7 | P | predict |
| V 452 | p | 10 | 0 | 12 | 1.538294 | 34086.347 | 6:49:55.91 | -4:10:20.5 | 12.6 | 13.2 | 12.7 | P | predict |
| V 453 | p | 1 | 17 | 44 | 0.511003 | 54887.6042 | 6:50:39 | -2:22:7.2 | 11.1 | 11.8 | 11.8 | P | predict |
| V 453 | s | 1 | 17 | 44 | 0.511003 | 54808.145 | 6:50:39 | -2:22:7.2 | 11.1 | 11.8 | 11.8 | P | predict |
| V 454 | p | 9 | 1 | 12 | 2.247595 | 34446.32 | 6:53:56.15 | +1:35:8.8 | 12 | 12.4 | 12.2 | P | predict |
| V 455 | p | 7 | 3 | 6 | 0.6816778 | 34444.31 | 6:55:0.89 | +0:7:19.2 | 14.5 | 15.3 | 15.3 | P | predict |
| V 455 | s | 7 | 3 | 6 | 0.6816778 | 34444.651 | 6:55:0.89 | +0:7:19.2 | 14.5 | 15.3 | 15.3 | P | predict |
| V 456 | p | 7 | 3 | 10 | 1.57329 | 53780.3307 | 6:56:4.74 | +1:22:21.1 | 13.6 | 15.9 | 13.7 | P | predict |
| V 457 | p | 5 | 5 | 7 | 0.950954 | 33327.415 | 6:56:55.35 | -1:54:50 | 13.6 | 14.4 | 14.3 | P | predict |
| V 457 | s | 5 | 5 | 7 | 0.950954 | 33327.89 | 6:56:55.35 | -1:54:50 | 13.6 | 14.4 | 14.3 | P | predict |
| V 458 | p | 4 | 6 | 11 | 0.3969371 | 54882.7011 | 6:57:49.32 | +2:11:52.6 | 13.3 | 13.9 | 13.8 | P | predict |
| V 458 | s | 4 | 6 | 11 | 0.3969371 | 55605.7416 | 6:57:49.32 | +2:11:52.6 | 13.3 | 13.9 | 13.8 | P | predict |
| V 459 | p | 9 | 1 | 2 | 2.820606 | 31521.309 | 6:58:19.98 | +1:19:0.1 | 14.5 | 15.7 | 14.7 | P | predict |
| V 460 | p | 4 | 6 | 37 | 1.397592 | 54812.861 | 7:0:16.59 | +2:2:12.3 | 10.5 | 11.2 | 10.7 | P | predict |
| V 461 | p | 10 | 0 | 1 | 5.047058 | 32939.202 | 7:3:10.63 | +2:33:17 | 15.3 | 16.5 | 15.3 | P | predict |
| V 462 | p | 10 | 0 | 1 | 3.4869059 | 32915.419 | 7:4:30.23 | +3:23:39.2 | 15.3 | 16.5 | 15.3 | P | predict |
| V 463 | p | 7 | 3 | 5 | 1.123836 | 54531.4897 | 7:5:32.67 | +2:56:7.7 | 14.3 | 15.1 | 14.3 | P | predict |
| V 464 | p | 5 | 5 | 24 | 1.1264035 | 31852.354 | 7:5:43.66 | -3:9:33.8 | 12.1 | 12.9 | 12.1 | P | predict |
| V 479 | p | 10 | 0 | 5 | 1.46809 | 51602.415 | 6:30:44.79 | +9:45:25 | 13.7 | 14.5 | 13.7 | P | predict |
| V 479 | s | 10 | 0 | 5 | 1.46809 | 51603.14904 | 6:30:44.79 | +9:45:25 | 13.7 | 14.5 | 13.7 | P | predict |
| V 494 | p | 6 | 4 | 27 | 0.838817 | 34769.462 | 6:36:44.26 | -2:51:44.6 | 11.6 | 12.2 | 11.65 | P | predict |
| V 494 | s | 6 | 4 | 27 | 0.838817 | 37764.467 | 6:36:44.26 | -2:51:44.6 | 11.6 | 12.2 | 11.65 | P | predict |
| V 496 | p | 3 | 7 | 30 | 0.660764 | 32915.4155 | 6:37:44.68 | +3:18:0.9 | 12.5 | 13.3 | 12.8 | P | predict |
| V 496 | s | 3 | 7 | 30 | 0.660764 | 53784.6559 | 6:37:44.68 | +3:18:0.9 | 12.5 | 13.3 | 12.8 | P | predict |
| V 498 | p | 1 | 20 | 50 | 2.472768 | 55600.34887 | 6:39:44.25 | +1:57:45.3 | 10.3 | 10.6 | 10.3 | P | predict |
| V 498 | s | 1 | 20 | 50 | 2.472768 | 33220.53 | 6:39:44.25 | +1:57:45.3 | 10.3 | 10.6 | 10.3 | P | predict |
| V 501 | p | 1 | 15 | 41 | 7.021204 | 34444.396 | 6:40:41.73 | -1:6:40 | 12.45 | 12.52 | 12.45 | V | predict |
| V 501 | s | 1 | 15 | 41 | 7.021204 | 34447.907 | 6:40:41.73 | -1:6:40 | 12.45 | 12.52 | 12.45 | V | predict |
| V 502 | p | 10 | 0 | 8 | 25.94 | 34809 | 6:43:26.17 | -2:29:49.9 | 12.2 | 13.2 | 12.2 | P | predict |
| V 502 | s | 10 | 0 | 8 | 25.94 | 51473.62 | 6:43:26.17 | -2:29:49.9 | 12.2 | 13.2 | 12.2 | P | predict |
| V 505 | p | 10 | 0 | 50 | 53.7805 | 44635.318 | 6:45:49.98 | +2:29:57.4 | 7.15 | 7.65 | 7.55 | V | predict |
| V 505 | s | 10 | 0 | 50 | 53.7805 | 52355.29 | 6:45:49.98 | +2:29:57.4 | 7.15 | 7.65 | 7.55 | V | predict |
| V 506 | p | 10 | 0 | 1 | 32 | 36597.337 | 6:46:36.51 | -3:50:11.6 | 13.3 | 14 | 13.3 | P | predict |
| V 507 | p | 7 | 3 | 4 | 1.0790213 | 34769.46 | 6:46:58.81 | +1:19:33.5 | 13.7 | 14.3 | 13.7 | P | predict |
| V 514 | p | 1 | 15 | 33 | 0.557388 | 33330.4064 | 6:49:18.55 | -0:3:32.4 | 12.8 | 13.3 | 13.3 | P | predict |
| V 514 | s | 1 | 15 | 33 | 0.557388 | 33330.685 | 6:49:18.55 | -0:3:32.4 | 12.8 | 13.3 | 13.3 | P | predict |
| V 515 | p | 1 | 18 | 44 | 0.8739713 | 53441.6251 | 6:49:21.15 | -2:6:48.8 | 11.6 | 12.2 | 12 | V | predict |
| V 515 | s | 1 | 18 | 44 | 0.8739713 | 33304.8865 | 6:49:21.15 | -2:6:48.8 | 11.6 | 12.2 | 12 | V | predict |
| V 521 | p | 3 | 7 | 30 | 2.9706633 | 33008.411 | 6:55:53.56 | -0:14:23.7 | 10.1 | 10.5 | 10.4 | V | predict |
| V 521 | s | 3 | 7 | 30 | 2.9706633 | 51867.913 | 6:55:53.56 | -0:14:23.7 | 10.1 | 10.5 | 10.4 | V | predict |
| V 524 | p | 1 | 9 | 24 | 0.28361685 | 52717.324 | 6:59:1.19 | +2:12:50.9 | 14.4 | 15.2 | 15.2 | P | predict |
| V 524 | s | 1 | 9 | 24 | 0.28361685 | 53431.6135 | 6:59:1.19 | +2:12:50.9 | 14.4 | 15.2 | 15.2 | P | predict |
| V 527 | p | 3 | 7 | 38 | 0.824573 | 33327.456 | 7:2:5.64 | -1:54:22.9 | 12.2 | 12.9 | 12.25 | P | predict |
| V 528 | p | 6 | 4 | 28 | 1.4237507 | 53769.3412 | 7:2:36.34 | +1:59:59.1 | 12.8 | 13.8 | 12.8 | P | predict |
| V 528 | s | 6 | 4 | 28 | 1.4237507 | 33295.094 | 7:2:36.34 | +1:59:59.1 | 12.8 | 13.8 | 12.8 | P | predict |
| V 530 | p | 1 | 12 | 27 | 0.5255325 | 33294.42 | 7:3:15.76 | +3:14:53.8 | 12.4 | 12.8 | 12.4 | P | predict |
| V 530 | s | 1 | 12 | 27 | 0.5255325 | 33294.683 | 7:3:15.76 | +3:14:53.8 | 12.4 | 12.8 | 12.4 | P | predict |
| V 532 | p | 1 | 11 | 70 | 0.4669795 | 54847.579 | 7:4:30.65 | -0:21:5.3 | 12.2 | 12.8 | 12.2 | P | predict |
| V 532 | s | 1 | 11 | 70 | 0.4669795 | 34769.56 | 7:4:30.65 | -0:21:5.3 | 12.2 | 12.8 | 12.2 | P | predict |
| V 536 | p | 5 | 5 | 32 | 31.035 | 54150.351 | 7:13:55.57 | -2:54:29.9 | 9.1 | 10.1 | 9.1 | P | predict |
| V 536 | s | 5 | 5 | 32 | 31.035 | 54165.8685 | 7:13:55.57 | -2:54:29.9 | 9.1 | 10.1 | 9.1 | P | predict |
| V 560 | p | 9 | 1 | 6 | 2.072805 | 55543.8592 | 6:46:28.84 | -0:15:34.8 | 13.9 | 14.7 | 13.95 | P | predict |
| V 578 | p | 1 | 21 | 32 | 2.4084822 | 54488.38182 | 6:32:0.61 | +4:52:40.9 | 8.54 | 8.72 | 8.54 | V | predict |
| V 578 | s | 1 | 21 | 32 | 2.4084822 | 54489.51107 | 6:32:0.61 | +4:52:40.9 | 8.54 | 8.72 | 8.54 | V | predict |
| V 634 | p | 8 | 2 | 10 | 2.114106 | 50845.397 | 7:17:10.07 | -1:44:18.8 | 12 | 12.4 | 12 | P | predict |
| V 635 | p | 6 | 4 | 116 | 1.80781 | 54857.4412 | 8:1:44.5 | -8:35:35.4 | 7.6 | 8.1 | 7.6 | P | predict |
| V 680 | p | 7 | 3 | 11 | 8.5381 | 52990.717 | 6:59:30.71 | +9:18:59.6 | 9.93 | 10.31 | 9.93 | V | predict |
| V 680 | s | 7 | 3 | 11 | 8.5381 | 52994.986 | 6:59:30.71 | +9:18:59.6 | 9.93 | 10.31 | 9.93 | V | predict |
| V 681 | p | 9 | 1 | 23 | 5.75745 | 46029.4 | 7:52:21.96 | -1:17:25.1 | 13 | 15.5 | 13 | P | predict |
| V 681 | s | 9 | 1 | 23 | 5.75745 | 46032.278 | 7:52:21.96 | -1:17:25.1 | 13 | 15.5 | 13 | P | predict |
| V 684 | p | 1 | 35 | 45 | 1.85142 | 54629.3685 | 6:40:38.37 | +9:47:16 | 8.43 | 8.535 | 8.43 | V | predict |
| V 684 | s | 1 | 35 | 45 | 1.85142 | 45006.595 | 6:40:38.37 | +9:47:16 | 8.43 | 8.535 | 8.43 | V | predict |
| V 714 | p | 1 | 21 | 81 | 0.3445093 | 52311.356 | 6:29:12.43 | +4:44:40.1 | 11.83 | 12.37 | 12.3 | V | predict |
| V 714 | s | 1 | 21 | 81 | 0.3445093 | 54874.6818 | 6:29:12.43 | +4:44:40.1 | 11.83 | 12.37 | 12.3 | V | predict |
| V 730 | p | 1 | 9 | 16 | 1.572312 | 48501.1947 | 6:34:40.65 | -8:36:29.2 | 8.849 | 8.947 | 8.947 | V | predict |
| V 730 | s | 1 | 9 | 16 | 1.572312 | 54351.0206 | 6:34:40.65 | -8:36:29.2 | 8.849 | 8.947 | 8.947 | V | predict |
| V 753 | p | 4 | 6 | 10 | 0.677044 | 55188.0687 | 7:10:57.85 | -3:52:43.2 | 8.304 | 8.818 | 8.304 | c | predict |
| V 753 | s | 4 | 6 | 10 | 0.677044 | 48500.5598 | 7:10:57.85 | -3:52:43.2 | 8.304 | 8.818 | 8.304 | c | predict |
| V 842 | p | 10 | 0 | 2 | 0.989888 | 50869.40404 | 6:48:43.5 | +5:2:1.3 | 9.74 | 10.05 | 9.85 | V | predict |
| V 843 | p | 4 | 6 | 8 | 0.526119 | 54116.453 | 6:58:10.89 | +10:13:58 | 12.4 | 12.9 | 12.9 | V | predict |
| V 843 | s | 4 | 6 | 8 | 0.526119 | 51275.147 | 6:58:10.89 | +10:13:58 | 12.4 | 12.9 | 12.9 | V | predict |
| V 864 | p | 4 | 6 | 7 | 0.358426 | 52667.751 | 7:15:9 | -4:44:21 | 9.9 | 10.6 | 10.5 | c | predict |
| V 864 | s | 4 | 6 | 7 | 0.358426 | 54888.7382 | 7:15:9 | -4:44:21 | 9.9 | 10.6 | 10.5 | c | predict |
| V 873 | p | 9 | 1 | 1 | 3.19669 | 52653.65 | 6:26:10.1 | +2:5:58 | 10.58 | 10.93 | 10.58 | V | predict |
| V 874 | p | 8 | 2 | 3 | 2.44881 | 51565.855 | 6:32:7.9 | +3:8:40 | 12.7 | 13.2 | 13.15 | V | predict |
| V 877 | p | 8 | 2 | 3 | 2.94626 | 52229.79 | 6:43:1.5 | -9:43:48 | 8.22 | 8.98 | 8.85 | V | predict |
| V 877 | s | 8 | 2 | 3 | 2.94626 | 52231.263 | 6:43:1.5 | -9:43:48 | 8.22 | 8.98 | 8.85 | V | predict |
| V 878 | p | 10 | 0 | 1 | 0.697461 | 48574.663 | 6:54:48.9 | -1:16:57 | 8.11 | 8.18 | 8.14 | V | predict |
| V 879 | p | 9 | 1 | 1 | 2.18691 | 52896.884 | 6:55:34 | -10:13:12 | 8.28 | 8.72 | 8.7 | V | predict |
| V 880 | p | 10 | 0 | 1 | 0.372457 | 52232.752 | 6:55:37.7 | -9:29:23 | 8.21 | 8.41 | 8.41 | V | predict |
| V 881 | p | 8 | 2 | 2 | 1.69841 | 53045.632 | 6:57:33.6 | +5:6:42 | 11.48 | 12.25 | 12.1 | V | predict |
| V 881 | s | 8 | 2 | 2 | 1.69841 | 54812.8467 | 6:57:33.6 | +5:6:42 | 11.48 | 12.25 | 12.1 | V | predict |
| V 882 | p | 9 | 1 | 1 | 2.85371 | 52739.532 | 6:57:39.5 | -5:27:15 | 9.08 | 9.7 | 9.65 | V | predict |
| V 883 | p | 10 | 0 | 1 | 50.363 | 48701.55 | 6:58:11.9 | -5:4:29 | 8.71 | 8.86 | 8.77 | V | predict |
| V 884 | p | 9 | 1 | 1 | 123.21 | 52776.58 | 7:5:11.8 | -11:6:2 | 9.13 | 9.65 | 9.14 | V | predict |
| V 888 | p | 10 | 0 | 1 | 2.54961 | 51873.806 | 7:33:48.4 | -9:40:53 | 8.49 | 8.87 | 8.83 | V | predict |
| V 891 | p | 10 | 0 | 1 | 31.4204 | 48196 | 7:41:18.6 | -1:32:30 | 8.12 | 8.33 | 8.3 | V | predict |
| V 896 | p | 9 | 1 | 1 | 3.10835 | 52623.834 | 7:59:41.5 | -7:50:13 | 12.9 | 14.4 | 12.9 | V | predict |
| G4833.1209 | p | 1 | 9 | 9 | 0.6968758 | 54886.4134 | 7:56:48.3 | -0:40:0 | 13.6 | 13.6 | 13.6 | V | predict |
| G4833.1209 | s | 1 | 9 | 9 | 0.6968758 | 54906.273 | 7:56:48.3 | -0:40:0 | 13.6 | 13.6 | 13.6 | V | predict |
| CzeV087 | p | 6 | 4 | 5 | 0.4019464 | 51397.2197 | 7:8:43.6 | +0:41:43.8 | 14 | 15 | 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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