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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 Vel
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| S | p | 10 | 0 | 6 | 5.9336475 | 27612.356 | 9:33:13.2 | -45:12:30.9 | 7.74 | 9.5 | 7.83 | V | predict |
| RR | p | 10 | 0 | 2 | 1.85419 | 51884.791 | 10:22:4.07 | -42:21:33.6 | 10.7 | 11.8 | 10.9 | V | predict |
| RV | p | 9 | 1 | 2 | 4.82105 | 29231.739 | 9:19:0.57 | -50:34:1.1 | 9.8 | 10.3 | 9.8 | V | predict |
| RX | p | 9 | 1 | 2 | 3.111828 | 29243.272 | 9:27:32.57 | -51:4:15.4 | 9.9 | 11.1 | 10 | V | predict |
| TT | p | 10 | 0 | 2 | 2.108421 | 52249.794 | 10:20:16.47 | -46:14:4.4 | 10.1 | 13.4 | 10.3 | V | predict |
| XY | p | 7 | 3 | 5 | 2.51028 | 53163.7138 | 11:4:58.89 | -55:39:4.8 | 11.9 | 13.4 | 12 | V | predict |
| YY | p | 9 | 1 | 2 | 4.1636 | 23871.249 | 10:32:10.45 | -56:14:56.9 | 10.6 | 11.1 | 11.1 | P | predict |
| YZ | p | 9 | 1 | 2 | 5.488405 | 26363.458 | 10:37:5.1 | -56:2:2 | 12.6 | 13.5 | 13.2 | V | predict |
| YZ | s | 9 | 1 | 2 | 5.488405 | 26366.202 | 10:37:5.1 | -56:2:2 | 12.6 | 13.5 | 13.2 | V | predict |
| AA | p | 10 | 0 | 2 | 2.33437 | 52228.823 | 10:51:17.02 | -56:24:37 | 9.68 | 9.9 | 9.9 | B | predict |
| AC | p | 10 | 0 | 11 | 4.562193 | 29342.594 | 10:46:18.38 | -56:49:45.9 | 8.6 | 9.05 | 9 | y | predict |
| AC | s | 10 | 0 | 11 | 4.562193 | 29344.875 | 10:46:18.38 | -56:49:45.9 | 8.6 | 9.05 | 9 | y | predict |
| AO | p | 4 | 6 | 76 | 1.584615 | 52981.0223 | 8:11:53.91 | -48:44:46 | 9.35 | 9.79 | 9.55 | V | predict |
| AO | s | 4 | 6 | 76 | 1.584615 | 53122.8068 | 8:11:53.91 | -48:44:46 | 9.35 | 9.79 | 9.55 | V | predict |
| AR | p | 10 | 0 | 2 | 3.212764 | 52025.5 | 10:40:3.6 | -56:44:26.6 | 12.1 | 12.5 | 12.1 | V | predict |
| AS | p | 10 | 0 | 2 | 1.557885 | 26454.44 | 8:28:18.18 | -38:58:19.3 | 8.3 | 8.92 | 8.4 | V | predict |
| AT | p | 9 | 1 | 3 | 11.7953 | 26362.27 | 8:4:39.74 | -45:1:26.1 | 12.1 | 12.8 | 12.3 | V | predict |
| AW | p | 8 | 2 | 3 | 1.992451 | 26176.139 | 8:8:11.66 | -44:20:53.5 | 10.7 | 12 | 10.8 | V | predict |
| AZ | p | 8 | 2 | 3 | 0.77577765 | 26175.344 | 8:22:51.89 | -44:25:45.4 | 12.7 | 13.6 | 13 | P | predict |
| BC | p | 9 | 1 | 2 | 1.173596 | 53128.628 | 8:43:20.62 | -44:39:1.4 | 11.1 | 11.7 | 11.6 | V | predict |
| BF | p | 9 | 1 | 3 | 0.7040276 | 52699.732 | 8:56:27.03 | -39:58:36 | 10.5 | 12 | 10.54 | V | predict |
| BP | p | 10 | 0 | 13 | 0.26498597 | 26534.9854 | 8:18:5.76 | -45:23:26.4 | 12.9 | 13.8 | 13.8 | P | predict |
| BY | p | 6 | 4 | 6 | 3.455365 | 28684.179 | 9:2:51.69 | -49:28:16.4 | 11 | 12.1 | 11.1 | V | predict |
| BZ | p | 9 | 1 | 13 | 1.262409 | 29776.193 | 9:14:20.84 | -49:46:18.9 | 10.4 | 11.5 | 10.5 | V | predict |
| CK | p | 9 | 1 | 3 | 17.5128 | 51882.331 | 10:37:30.77 | -56:7:41.9 | 11.71 | 12.26 | 11.71 | V | predict |
| CV | p | 10 | 0 | 2 | 6.889494 | 48504.134 | 9:0:37.99 | -51:33:20.1 | 6.69 | 7.19 | 7.17 | V | predict |
| CW | p | 10 | 0 | 3 | 2.360927 | 44248.7584 | 9:2:21.28 | -52:50:29 | 10.1 | 11.12 | 10.2 | V | predict |
| CW | s | 10 | 0 | 3 | 2.360927 | 46485.745 | 9:2:21.28 | -52:50:29 | 10.1 | 11.12 | 10.2 | V | predict |
| CZ | p | 7 | 3 | 4 | 5.192795 | 52708.62 | 9:10:44.46 | -50:42:40.6 | 10.8 | 11.5 | 11.1 | V | predict |
| DF | p | 8 | 2 | 3 | 0.7644772 | 52650.762 | 9:15:29.48 | -50:11:24 | 13.3 | 14.4 | 13.4 | P | predict |
| DL | p | 8 | 2 | 3 | 0.563553 | 53000.805 | 9:18:5.53 | -46:4:30.5 | 11.4 | 12 | 11.6 | V | predict |
| DN | p | 10 | 0 | 2 | 12.89709 | 28450.69 | 9:19:37.7 | -45:40:47.8 | 9.57 | 10.1 | 10.1 | V | predict |
| DQ | p | 10 | 0 | 2 | 6.0833 | 51880.76 | 9:30:34.22 | -50:11:54.1 | 10.8 | 11.7 | 11.1 | V | predict |
| DS | p | 9 | 1 | 2 | 0.7215652 | 52705.645 | 9:34:27.15 | -52:32:23.3 | 10.9 | 11.5 | 11.2 | V | predict |
| DX | p | 9 | 1 | 2 | 1.117305 | 29037.269 | 9:51:45.98 | -50:53:23.7 | 10.7 | 11.5 | 10.8 | V | predict |
| EG | p | 10 | 0 | 1 | 4.8927 | 51872.921 | 10:50:16.11 | -44:32:14 | 11.76 | 13.55 | 11.76 | V | predict |
| EL | p | 8 | 2 | 3 | 2.758396 | 53126.599 | 8:30:50.33 | -40:4:22.4 | 11.3 | 12.5 | 11.3 | V | predict |
| EL | s | 8 | 2 | 3 | 2.758396 | 26415.6692 | 8:30:50.33 | -40:4:22.4 | 11.3 | 12.5 | 11.3 | V | predict |
| EQ | p | 9 | 1 | 2 | 1.080266 | 52946.8 | 8:43:46.62 | -45:5:11.6 | 11.4 | 12.6 | 11.5 | V | predict |
| ET | p | 3 | 7 | 8 | 3.080877 | 29778.222 | 9:9:2.45 | -46:37:49.5 | 11.2 | 11.8 | 11.4 | V | predict |
| ET | s | 3 | 7 | 8 | 3.080877 | 53693.5956 | 9:9:2.45 | -46:37:49.5 | 11.2 | 11.8 | 11.4 | V | predict |
| FU | p | 9 | 1 | 35 | 2.446801 | 28655.225 | 9:33:50.62 | -55:55:6.1 | 10.2 | 11.3 | 10.3 | V | predict |
| FV | p | 9 | 1 | 13 | 1.521137 | 53418.774 | 9:46:24.76 | -44:10:4.4 | 10.81 | 12.2 | 10.89 | V | predict |
| FW | p | 9 | 1 | 36 | 2.384022 | 28694.24 | 10:45:25.91 | -52:24:20.3 | 9.5 | 10.2 | 10 | P | predict |
| FW | s | 9 | 1 | 36 | 2.384022 | 28695.432 | 10:45:25.91 | -52:24:20.3 | 9.5 | 10.2 | 10 | P | predict |
| FX | p | 10 | 0 | 16 | 1.052565 | 34302.525 | 8:32:35.77 | -37:59:1.5 | 9.7 | 10.7 | 10.5 | V | predict |
| FX | s | 10 | 0 | 16 | 1.052565 | 34303.0513 | 8:32:35.77 | -37:59:1.5 | 9.7 | 10.7 | 10.5 | V | predict |
| FY | p | 10 | 0 | 2 | 33.7385 | 40210.586 | 8:32:23.38 | -49:36:4.8 | 6.84 | 7.06 | 7.03 | V | predict |
| GG | p | 10 | 0 | 45 | 1.475224 | 41329.9894 | 9:12:49.76 | -43:29:15.9 | 8.72 | 9.07 | 9.07 | V | predict |
| GG | s | 10 | 0 | 45 | 1.475224 | 41330.727 | 9:12:49.76 | -43:29:15.9 | 8.72 | 9.07 | 9.07 | V | predict |
| GP | p | 10 | 0 | 2 | 8.9636 | 44275.2 | 9:2:6.86 | -40:33:16.9 | 6.76 | 6.99 | 6.99 | V | predict |
| GT | p | 9 | 1 | 6 | 4.67009 | 51874.58 | 9:10:37.73 | -43:4:56 | 9.68 | 10.63 | 9.9 | V | predict |
| GT | s | 9 | 1 | 6 | 4.67009 | 51877.293 | 9:10:37.73 | -43:4:56 | 9.68 | 10.63 | 9.9 | V | predict |
| HX | p | 10 | 0 | 2 | 1.124905 | 42758.253 | 8:42:16.19 | -48:5:56.7 | 5.48 | 5.53 | 5.53 | V | predict |
| HY | p | 10 | 0 | 2 | 3.10689 | 44627.727 | 8:42:25.39 | -53:6:50.4 | 4.83 | 4.9 | 4.9 | V | predict |
| IQ | p | 10 | 0 | 8 | 3.9262974 | 45000.6477 | 10:4:12.67 | -40:46:25.6 | 12.81 | 13.73 | 12.94 | V | predict |
| IQ | s | 10 | 0 | 8 | 3.9262974 | 44998.6885 | 10:4:12.67 | -40:46:25.6 | 12.81 | 13.73 | 12.94 | V | predict |
| IT | p | 10 | 0 | 1 | 2.088 | 42524.231 | 8:18:1.15 | -47:5:30.7 | 7.03 | 7.08 | 7.08 | V | predict |
| NT | p | 9 | 1 | 1 | 9.255699 | 52709.677 | 8:34:24.37 | -54:40:3.1 | 8.32 | 9.02 | 9 | V | predict |
| NX | p | 10 | 0 | 2 | 2.9199 | 48256.485 | 8:39:9.53 | -40:25:9.3 | 7.19 | 7.29 | 7.26 | V | predict |
| OV | p | 10 | 0 | 1 | 2.09039 | 48501.6446 | 8:55:23.05 | -46:53:27.9 | 8.188 | 8.322 | 8.322 | V | predict |
| PQ | p | 10 | 0 | 1 | 22.2632 | 48256.74 | 9:5:23.37 | -42:10:1.5 | 7.63 | 7.81 | 7.75 | V | predict |
| PT | p | 7 | 3 | 6 | 1.80201 | 48294.394 | 9:10:57.72 | -43:16:2.9 | 7.046 | 7.6 | 7.6 | P | predict |
| PT | s | 7 | 3 | 6 | 1.80201 | 48295.295 | 9:10:57.72 | -43:16:2.9 | 7.046 | 7.6 | 7.6 | P | predict |
| PU | p | 10 | 0 | 1 | 1.25174 | 48501.0094 | 9:15:0.79 | -40:16:23.7 | 8.515 | 8.649 | 8.649 | V | predict |
| QT | p | 10 | 0 | 1 | 6.6334 | 48502.98 | 9:26:49.6 | -51:46:11.3 | 8.021 | 8.23 | 8.23 | V | predict |
| QX | p | 10 | 0 | 1 | 0.878067 | 48500.458 | 9:48:56.54 | -47:54:45 | 7.979 | 8.209 | 8.209 | V | predict |
| QY | p | 10 | 0 | 2 | 9.571 | 48504.98 | 9:49:19.91 | -50:39:33.8 | 8.13 | 8.3 | 8.19 | V | predict |
| V 340 | p | 10 | 0 | 1 | 3.55953 | 51928.774 | 10:18:12.01 | -50:49:25.3 | 7.83 | 7.96 | 7.93 | V | predict |
| V 341 | p | 10 | 0 | 1 | 14.73 | 48500.52 | 10:19:29.36 | -45:38:48.7 | 7.9 | 8.3 | 8.3 | V | predict |
| V 343 | p | 10 | 0 | 1 | 6.8485 | 48504.31 | 10:21:11.28 | -51:44:56.4 | 8.31 | 8.95 | 8.95 | V | predict |
| V 345 | p | 10 | 0 | 1 | 10.495 | 48501.15 | 10:22:8.91 | -49:17:36.7 | 7.49 | 7.95 | 7.95 | V | predict |
| V 349 | p | 10 | 0 | 1 | 3.02447 | 48710.806 | 10:29:22.69 | -50:34:13.8 | 9.53 | 9.68 | 9.67 | V | predict |
| V 356 | p | 10 | 0 | 3 | 1.767397 | 48502.3955 | 10:47:55.47 | -52:14:46 | 6.731 | 6.868 | 6.868 | V | predict |
| V 356 | s | 10 | 0 | 3 | 1.767397 | 48501.5118 | 10:47:55.47 | -52:14:46 | 6.731 | 6.868 | 6.868 | V | predict |
| V 359 | p | 10 | 0 | 1 | 4.535 | 48500.36 | 11:0:33.38 | -51:56:50.2 | 7.58 | 7.84 | 7.84 | V | predict |
| V 362 | p | 10 | 0 | 1 | 0.445177 | 48500.256 | 11:4:20.99 | -46:3:30.5 | 9.078 | 9.361 | 9.361 | V | predict |
| V 403 | p | 10 | 0 | 1 | 7.2027 | 51981.556 | 8:46:29 | -40:49:28 | 9.63 | 10.09 | 10 | V | predict |
| V 404 | p | 9 | 1 | 1 | 11.4248 | 52714.62 | 8:59:14.8 | -48:49:49 | 9.37 | 9.48 | 9.47 | V | predict |
| V 405 | p | 10 | 0 | 1 | 10.31168 | 48311.779 | 9:4:38.5 | -41:3:53 | 8.89 | 9.06 | 9.05 | V | predict |
| V 406 | p | 9 | 1 | 1 | 2.034 | 52662.738 | 9:7:23.3 | -52:29:57 | 9.4 | 10.1 | 9.5 | V | predict |
| V 407 | p | 9 | 1 | 1 | 1.438215 | 52634.77 | 9:25:2.3 | -55:29:20 | 9.62 | 10.07 | 9.81 | V | predict |
| V 409 | p | 9 | 1 | 1 | 2.78678 | 52929.846 | 9:39:22.9 | -54:24:55 | 12.45 | 13.45 | 12.79 | V | predict |
| V 414 | p | 9 | 1 | 1 | 4.414288 | 52949.8504 | 10:3:9.5 | -47:24:3 | 13.7 | 16.7 | 13.7 | V | predict |
| V 428 | p | 9 | 1 | 1 | 0.85496 | 52964.806 | 10:28:31.6 | -49:28:12 | 11.03 | 11.91 | 11.25 | V | predict |
| V 431 | p | 9 | 1 | 1 | 3.76173 | 52810.482 | 10:41:40.7 | -51:38:43 | 12.72 | 14.5 | 12.85 | V | predict |
| V 432 | p | 10 | 0 | 1 | 1.46857 | 48970.46 | 10:42:6.5 | -42:52:41 | 9.04 | 9.22 | 9.22 | V | predict |
| V 440 | p | 10 | 0 | 1 | 2.354858 | 48603.597 | 10:54:43.6 | -45:36:10 | 9.47 | 9.63 | 9.6 | V | predict |
| del | p | 10 | 0 | 10 | 45.1502 | 51940.73 | 8:44:42.23 | -54:42:31.7 | 1.96 | 2.36 | 2.26 | V | predict |
| del | s | 10 | 0 | 10 | 45.1502 | 51870.062 | 8:44:42.23 | -54:42:31.7 | 1.96 | 2.36 | 2.26 | 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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