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Database of known eclipsing binaries (according to O-C gateway)
In the list bellow, there are all known eclipsing binaries, their coordinates, elements and neglection rating in last 10 years.
All data were passed from O-C gateway maintained by 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 Eri
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| RU | p | 1 | 24 | 130 | 0.632199 | 53718.0497 | 3:54:43.78 | -14:56:6.7 | 9.37 | 10.15 | 9.64 | V | predict |
| RU | s | 1 | 24 | 130 | 0.632199 | 52998.9243 | 3:54:43.78 | -14:56:6.7 | 9.37 | 10.15 | 9.64 | V | predict |
| RY | p | 9 | 1 | 12 | 4.979286 | 53445.835 | 3:58:58.12 | -17:13:46.6 | 10.09 | 10.8 | 10.09 | V | predict |
| RZ | p | 10 | 0 | 41 | 39.28238 | 51901.969 | 4:43:45.83 | -10:40:56 | 7.7 | 8.72 | 7.74 | V | predict |
| TT | p | 10 | 0 | 5 | 1.33535 | 44912.361 | 2:52:39.22 | -23:46:33.5 | 12.92 | 14.25 | 12.92 | V | predict |
| TU | p | 9 | 1 | 4 | 0.334978 | 51927.537 | 3:3:13.4 | -20:36:51.5 | 12.56 | 13.13 | 12.56 | V | predict |
| TV | p | 10 | 0 | 3 | 1.298462 | 24790.79 | 3:8:46.73 | -19:27:37.6 | 12.92 | 13.55 | 12.92 | V | predict |
| TX | p | 10 | 0 | 2 | 0.628575 | 51869.36 | 3:12:34.73 | -19:31:57.7 | 12.47 | 12.91 | 12.47 | V | predict |
| TX | s | 10 | 0 | 2 | 0.628575 | 51869.67429 | 3:12:34.73 | -19:31:57.7 | 12.47 | 12.91 | 12.47 | V | predict |
| TY | p | 10 | 0 | 3 | 0.77195 | 51871.302 | 3:16:12.04 | -22:5:31.2 | 12.55 | 13.3 | 12.55 | V | predict |
| TZ | p | 1 | 17 | 128 | 2.606111 | 25951.527 | 4:21:40.33 | -6:1:9.2 | 9.8 | 12.6 | 9.8 | V | predict |
| TZ | s | 1 | 17 | 128 | 2.606111 | 25952.83 | 4:21:40.33 | -6:1:9.2 | 9.8 | 12.6 | 9.8 | V | predict |
| UX | p | 1 | 13 | 65 | 0.4452833 | 55906.9521 | 3:9:52.74 | -6:53:33.5 | 11.15 | 11.71 | 11.66 | V | predict |
| UX | s | 1 | 13 | 65 | 0.4452833 | 34358.131 | 3:9:52.74 | -6:53:33.5 | 11.15 | 11.71 | 11.66 | V | predict |
| VV | p | 5 | 5 | 30 | 1.55759 | 27342.51 | 3:21:22.6 | -10:17:6 | 11.68 | 12.56 | 11.68 | V | predict |
| VV | s | 5 | 5 | 30 | 1.55759 | 27343.3008 | 3:21:22.6 | -10:17:6 | 11.68 | 12.56 | 11.68 | V | predict |
| WW | p | 1 | 10 | 28 | 0.926499 | 53731.024 | 5:5:4.74 | -7:33:42.9 | 11.12 | 11.71 | 11.32 | V | predict |
| WW | s | 1 | 10 | 28 | 0.926499 | 53724.0732 | 5:5:4.74 | -7:33:42.9 | 11.12 | 11.71 | 11.32 | V | predict |
| YY | p | 1 | 157 | 897 | 0.3214972 | 53702.069 | 4:12:8.85 | -10:28:10 | 8.37 | 9.04 | 8.99 | V | predict |
| YY | s | 1 | 157 | 897 | 0.3214972 | 53734.059 | 4:12:8.85 | -10:28:10 | 8.37 | 9.04 | 8.99 | V | predict |
| ZZ | p | 2 | 8 | 34 | 0.45206 | 53281.8984 | 4:13:1.05 | -10:44:54.3 | 13.9 | 15 | 14.4 | P | predict |
| ZZ | s | 2 | 8 | 34 | 0.45206 | 44244.538 | 4:13:1.05 | -10:44:54.3 | 13.9 | 15 | 14.4 | P | predict |
| AA | p | 6 | 4 | 8 | 0.5008423 | 53350.314 | 4:13:41.89 | -11:33:36.4 | 12.8 | 13.3 | 12.8 | P | predict |
| AK | p | 10 | 0 | 5 | 2.6303 | 52133.706 | 4:25:35.22 | -18:48:2 | 11.98 | 13.04 | 11.98 | V | predict |
| AM | p | 5 | 5 | 65 | 0.3165735 | 43890.297 | 4:29:50.95 | -12:14:23.1 | 14.4 | 15.2 | 14.4 | P | predict |
| AM | s | 5 | 5 | 65 | 0.3165735 | 51563.249 | 4:29:50.95 | -12:14:23.1 | 14.4 | 15.2 | 14.4 | P | predict |
| AN | p | 10 | 0 | 3 | 0.42821 | 24772.84 | 4:31:56.47 | -17:20:19.7 | 14.4 | 15.4 | 14.9 | P | predict |
| AN | s | 10 | 0 | 3 | 0.42821 | 51868.488 | 4:31:56.47 | -17:20:19.7 | 14.4 | 15.4 | 14.9 | P | predict |
| AO | p | 9 | 1 | 10 | 9.29753 | 53246.894 | 4:32:0.95 | -17:44:47.7 | 10.84 | 11.62 | 10.84 | V | predict |
| AS | p | 1 | 14 | 66 | 2.664152 | 28538.055 | 3:32:25.13 | -3:18:48.1 | 8.29 | 9 | 8.42 | V | predict |
| AX | p | 10 | 0 | 2 | 3.8847 | 51866.579 | 4:23:15.53 | -12:21:50.8 | 14.2 | 15 | 14.2 | P | predict |
| BC | p | 1 | 25 | 48 | 0.527247 | 48500.04 | 4:46:59.01 | -14:37:23.3 | 10.83 | 11.32 | 11.26 | V | predict |
| BC | s | 1 | 25 | 48 | 0.527247 | 48500.304 | 4:46:59.01 | -14:37:23.3 | 10.83 | 11.32 | 11.26 | V | predict |
| BL | p | 1 | 12 | 48 | 0.41691786 | 55476.9055 | 4:11:48.18 | -11:47:26.5 | 11.51 | 12.28 | 11.51 | c | predict |
| BL | s | 1 | 12 | 48 | 0.41691786 | 44606.8118 | 4:11:48.18 | -11:47:26.5 | 11.51 | 12.28 | 11.51 | c | predict |
| BQ | p | 2 | 8 | 18 | 0.82198 | 51869.6 | 5:7:59.69 | -5:50:37.7 | 10.94 | 11.28 | 11.24 | c | predict |
| BQ | s | 2 | 8 | 18 | 0.82198 | 52996.9974 | 5:7:59.69 | -5:50:37.7 | 10.94 | 11.28 | 11.24 | c | predict |
| BT | p | 10 | 0 | 10 | 2.112291 | 41991.6039 | 3:34:31.07 | -39:24:43.4 | 9.56 | 10.45 | 9.56 | V | predict |
| BU | p | 6 | 4 | 10 | 0.8430936 | 55885.518 | 3:49:20.95 | -20:52:26.7 | 9.4 | 9.82 | 9.4 | c | predict |
| BU | s | 6 | 4 | 10 | 0.8430936 | 47555.346 | 3:49:20.95 | -20:52:26.7 | 9.4 | 9.82 | 9.4 | c | predict |
| BV | p | 1 | 20 | 52 | 0.5076545 | 55545.6781 | 3:51:53.34 | -10:31:49.5 | 8.12 | 8.63 | 8.42 | V | predict |
| BV | s | 1 | 20 | 52 | 0.5076545 | 46032.486 | 3:51:53.34 | -10:31:49.5 | 8.12 | 8.63 | 8.42 | V | predict |
| BW | p | 5 | 5 | 9 | 0.6384855 | 52664.5848 | 4:6:36.75 | -27:40:7.6 | 10.16 | 10.75 | 10.38 | V | predict |
| BW | s | 5 | 5 | 9 | 0.6384855 | 43449.0032 | 4:6:36.75 | -27:40:7.6 | 10.16 | 10.75 | 10.38 | V | predict |
| BZ | p | 1 | 15 | 89 | 0.6641701 | 53630.2617 | 4:12:12.66 | -6:1:17.6 | 9 | 9.48 | 9.21 | B | predict |
| BZ | s | 1 | 15 | 89 | 0.6641701 | 52279.0088 | 4:12:12.66 | -6:1:17.6 | 9 | 9.48 | 9.21 | B | predict |
| CD | p | 6 | 4 | 39 | 2.87674 | 55855.8679 | 3:47:45.95 | -8:36:41.4 | 9.51 | 10.49 | 9.51 | V | predict |
| CI | p | 10 | 0 | 16 | 1.238195 | 51869.95 | 1:58:38.46 | -53:31:39.3 | 9.63 | 10.61 | 9.63 | c | predict |
| CI | s | 10 | 0 | 16 | 1.238195 | 51870.5691 | 1:58:38.46 | -53:31:39.3 | 9.63 | 10.61 | 9.63 | c | predict |
| CO | p | 9 | 1 | 30 | 5.78352 | 28776.575 | 2:35:38.63 | -45:4:12.4 | 9.11 | 10.02 | 9.21 | V | predict |
| CO | s | 9 | 1 | 30 | 5.78352 | 28779.4668 | 2:35:38.63 | -45:4:12.4 | 9.11 | 10.02 | 9.21 | V | predict |
| CR | p | 10 | 0 | 3 | 7.2594 | 36845.554 | 3:54:17.82 | -43:6:36.8 | 11.91 | 12.73 | 12 | c | predict |
| CT | p | 10 | 0 | 108 | 0.6341963 | 52222.499 | 4:29:24.8 | -33:34:34.3 | 10 | 10.52 | 10.27 | V | predict |
| CT | s | 10 | 0 | 108 | 0.6341963 | 44672.7499 | 4:29:24.8 | -33:34:34.3 | 10 | 10.52 | 10.27 | V | predict |
| CW | p | 6 | 4 | 37 | 2.728372 | 41267.6752 | 3:3:59.95 | -17:44:16.1 | 8.43 | 8.96 | 8.86 | V | predict |
| CW | s | 6 | 4 | 37 | 2.728372 | 41269.039 | 3:3:59.95 | -17:44:16.1 | 8.43 | 8.96 | 8.86 | V | predict |
| DS | p | 10 | 0 | 3 | 0.827705 | 52135.953 | 3:49:10.59 | -42:36:55.1 | 11.06 | 11.7 | 11.36 | c | predict |
| EZ | p | 9 | 1 | 3 | 2.252 | 52660.192 | 5:7:28.48 | -5:24:25.3 | 10.42 | 10.59 | 10.42 | c | predict |
| FK | p | 7 | 3 | 6 | 2.232217 | 55557.9784 | 2:44:58.36 | -17:46:52.1 | 9.21 | 9.58 | 9.21 | V | predict |
| FK | s | 7 | 3 | 6 | 2.232217 | 48503.056 | 2:44:58.36 | -17:46:52.1 | 9.21 | 9.58 | 9.21 | V | predict |
| FO | p | 8 | 2 | 3 | 2.1964 | 48502.05 | 2:52:24.59 | -41:9:2.7 | 8.51 | 8.802 | 8.51 | V | predict |
| FP | p | 9 | 1 | 2 | 0.335269 | 53243.872 | 2:53:34.81 | -9:12:28.8 | 9.705 | 9.849 | 9.705 | V | predict |
| FU | p | 8 | 2 | 10 | 1.87221 | 52683.5672 | 3:9:56.54 | -44:59:30.3 | 9.252 | 9.589 | 9.252 | V | predict |
| FX | p | 8 | 2 | 4 | 0.292347 | 48500.113 | 3:37:1.44 | -41:31:39.5 | 9.696 | 9.965 | 9.696 | V | predict |
| GG | p | 9 | 1 | 2 | 80.782 | 51955.9 | 3:43:26.77 | -39:37:22.9 | 9.54 | 9.65 | 9.54 | c | predict |
| GG | s | 9 | 1 | 2 | 80.782 | 51996.333 | 3:43:26.77 | -39:37:22.9 | 9.54 | 9.65 | 9.54 | c | predict |
| GH | p | 7 | 3 | 5 | 0.722387 | 54042.6048 | 3:44:13.03 | -41:16:46.8 | 9.016 | 9.605 | 9.016 | P | predict |
| GK | p | 8 | 2 | 5 | 2.95968 | 48501.317 | 3:45:12.03 | -16:24:37.6 | 8.96 | 9.49 | 8.96 | P | predict |
| GK | s | 8 | 2 | 5 | 2.95968 | 48502.797 | 3:45:12.03 | -16:24:37.6 | 8.96 | 9.49 | 8.96 | P | predict |
| GT | p | 10 | 0 | 4 | 0.901375 | 48500.814 | 4:5:6.36 | -31:10:10.9 | 8.621 | 9.121 | 8.621 | V | predict |
| GW | p | 9 | 1 | 3 | 3.65866 | 48502.817 | 4:11:36.2 | -20:21:22.2 | 5.84 | 6.13 | 5.84 | V | predict |
| HL | p | 10 | 0 | 4 | 0.512616 | 51868.708 | 4:30:45.11 | -7:14:27.8 | 8.564 | 8.602 | 8.564 | V | predict |
| HN | p | 5 | 5 | 11 | 0.623592 | 48500.2951 | 4:33:24.85 | -23:56:19.7 | 8.663 | 8.971 | 8.663 | V | predict |
| HN | s | 5 | 5 | 11 | 0.623592 | 48500.6069 | 4:33:24.85 | -23:56:19.7 | 8.663 | 8.971 | 8.663 | V | predict |
| HX | p | 10 | 0 | 2 | 0.80615 | 51869.27 | 3:5:17.65 | -18:38:10.3 | 12.6 | 13.2 | 12.6 | V | predict |
| IY | p | 10 | 0 | 1 | 0.750035 | 52222.632 | 2:7:28.2 | -57:52:10 | 10.86 | 11.31 | 11.3 | V | predict |
| KN | p | 8 | 2 | 2 | 0.396604 | 53043.615 | 4:34:17.9 | -4:56:46 | 13.23 | 14.2 | 13.9 | V | predict |
| KP | p | 9 | 1 | 2 | 7.447126 | 47908.707 | 4:43:7.2 | -7:24:42 | 8.78 | 8.93 | 8.78 | V | predict |
| KS | p | 9 | 1 | 1 | 0.533437 | 53085.591 | 5:9:2.9 | -7:44:12 | 9.32 | 9.41 | 9.33 | V | predict |
| KV | p | 10 | 0 | 1 | 0.271753 | 51868.957 | 2:50:16 | -46:49:12 | 12.48 | 13.01 | 12.48 | V | predict |
| KW | p | 9 | 1 | 2 | 0.2352922 | 53639.744 | 2:54:13.51 | -47:6:50.3 | 13.4 | 14.1 | 13.85 | V | predict |
| KX | p | 10 | 0 | 1 | 64.38 | 51504.8 | 2:58:10.41 | -6:11:50.1 | 12.75 | 14 | 12.75 | V | predict |
| KZ | p | 8 | 2 | 2 | 0.94268 | 52648.61 | 3:31:54.25 | -1:38:21.5 | 11.3 | 11.7 | 11.3 | V | predict |
| LT | p | 1 | 12 | 12 | 0.17017 | 52949.1504 | 4:7:15 | -6:44:25 | 15 | 18.72 | 15 | c | predict |
| LW | p | 6 | 4 | 6 | 0.465621 | 55503.924 | 4:31:27.73 | -0:43:52.2 | 12.2 | 12.8 | 12.2 | V | predict |
| LW | s | 6 | 4 | 6 | 0.465621 | 54832.737 | 4:31:27.73 | -0:43:52.2 | 12.2 | 12.8 | 12.2 | V | predict |
| MQ | p | 10 | 0 | 1 | 11.822 | 52227.72 | 4:53:31.51 | -6:41:44.9 | 12.6 | 13 | 12.7 | P | predict |
TABLE LEGEND:
Star - object designation, 2nd column - primary / secondary minimum, 3rd column - "neglection rating" in last 10 years, N10 - number of data in last 10 years, N - all data amount, both CCD, visual and photographic has the same weight of 1 point, PERIOD - orbtial period in days, MIN0 - basic minimum, RA 2000 - right acscension, DE 2000 - declination, MAX - brightness in maximum (mag), MINP - brightness in primary minimum, MINS - brightness in secondary minimum, spectral band, in which max, minp and mins are given.
NEGLECTION RATING LEGEND:
For each object, all known observations were counted (in O-C gateway) in last 10 years.
1 CCD minimum got value 1, 1 visual / pg minimum got value 0,1.
For example 1 CCD minimum + 1 visual minimum => N10 = 1.1
Such N10 value, it was substracted 10 - N10 and rounded to integer. The result is neclection rating.
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New data MEDUZA & HERO:
CCD: M. Lehkı: , , , , , , , P. Dubovskı: , , ,
VIZ: P. Dubovskı: , , , , , , , , , , , , , , , , , , , ,
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