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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 Vir
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| UW | p | 3 | 7 | 85 | 1.810767 | 44345.413 | 13:15:20.74 | -17:28:16.9 | 8.98 | 12.3 | 8.98 | V | predict |
| UY | p | 10 | 0 | 64 | 1.994447 | 30020.667 | 13:1:53.43 | -19:46:28.7 | 8 | 8.8 | 8.1 | V | predict |
| VV | p | 1 | 29 | 145 | 0.446135 | 53829.112 | 14:5:25.23 | -10:9:22.4 | 11.9 | 13.2 | 13.2 | P | predict |
| VV | s | 1 | 29 | 145 | 0.446135 | 53842.2731 | 14:5:25.23 | -10:9:22.4 | 11.9 | 13.2 | 13.2 | P | predict |
| AG | p | 1 | 42 | 217 | 0.6426505 | 45432.4146 | 12:1:3.5 | +13:0:30 | 8.35 | 8.93 | 8.85 | V | predict |
| AG | s | 1 | 42 | 217 | 0.6426505 | 54141.2972 | 12:1:3.5 | +13:0:30 | 8.35 | 8.93 | 8.85 | V | predict |
| AH | p | 1 | 49 | 490 | 0.4075265 | 56000.615 | 12:14:21 | +11:49:9.4 | 8.89 | 9.4 | 8.89 | V | predict |
| AH | s | 1 | 49 | 490 | 0.4075265 | 55672.3501 | 12:14:21 | +11:49:9.4 | 8.89 | 9.4 | 8.89 | V | predict |
| AK | p | 1 | 12 | 77 | 1.1935935 | 42576.4 | 14:4:52.43 | -18:21:53.3 | 10 | 11 | 11 | V | predict |
| AW | p | 1 | 58 | 155 | 0.3539976 | 53863.3824 | 13:27:32.89 | +3:2:28.6 | 11 | 11.81 | 11.67 | V | predict |
| AW | s | 1 | 58 | 155 | 0.3539976 | 53787.4543 | 13:27:32.89 | +3:2:28.6 | 11 | 11.81 | 11.67 | V | predict |
| AX | p | 1 | 23 | 88 | 0.7025264 | 55632.872 | 13:27:44.78 | +3:52:26.6 | 10 | 10.81 | 10.24 | V | predict |
| AX | s | 1 | 23 | 88 | 0.7025264 | 27570.805 | 13:27:44.78 | +3:52:26.6 | 10 | 10.81 | 10.24 | V | predict |
| AZ | p | 1 | 63 | 328 | 0.3496643 | 51262.4976 | 13:43:25.65 | +4:36:57 | 10.74 | 11.37 | 11.37 | V | predict |
| AZ | s | 1 | 63 | 328 | 0.3496643 | 52765.531 | 13:43:25.65 | +4:36:57 | 10.74 | 11.37 | 11.37 | V | predict |
| BD | p | 6 | 4 | 16 | 2.54857 | 42538.411 | 13:26:40.58 | -16:6:16.5 | 9.9 | 11.2 | 11.2 | V | predict |
| BF | p | 1 | 15 | 122 | 0.640575 | 55631.9285 | 13:47:52.59 | -0:35:40.7 | 10.5 | 11.23 | 10.72 | V | predict |
| BF | s | 1 | 15 | 122 | 0.640575 | 54948.7691 | 13:47:52.59 | -0:35:40.7 | 10.5 | 11.23 | 10.72 | V | predict |
| BH | p | 1 | 26 | 228 | 0.8168711 | 53876.076 | 13:58:24.86 | -1:39:39 | 9.6 | 10.56 | 10.24 | V | predict |
| BH | s | 1 | 26 | 228 | 0.8168711 | 43231.0174 | 13:58:24.86 | -1:39:39 | 9.6 | 10.56 | 10.24 | V | predict |
| BS | p | 10 | 0 | 3 | 0.3770834 | 20608.594 | 12:41:39.81 | -1:49:49.1 | 13.6 | 14.4 | 14.4 | P | predict |
| BS | s | 10 | 0 | 3 | 0.3770834 | 20608.783 | 12:41:39.81 | -1:49:49.1 | 13.6 | 14.4 | 14.4 | P | predict |
| CG | p | 1 | 14 | 40 | 0.9352775 | 54260.40358 | 15:4:54.7 | +4:24:3.1 | 10.56 | 11.2 | 10.9 | V | predict |
| CG | s | 1 | 14 | 40 | 0.9352775 | 53867.1211 | 15:4:54.7 | +4:24:3.1 | 10.56 | 11.2 | 10.9 | V | predict |
| CM | p | 7 | 3 | 11 | 3.401872 | 33024.493 | 14:32:7.6 | -1:14:46.4 | 12.9 | 13.4 | 13.4 | P | predict |
| CX | p | 1 | 10 | 93 | 0.7460772 | 53522.7266 | 14:9:27.45 | -15:34:53.9 | 9.8 | 10.45 | 10.1 | V | predict |
| CX | s | 1 | 10 | 93 | 0.7460772 | 53875.9956 | 14:9:27.45 | -15:34:53.9 | 9.8 | 10.45 | 10.1 | V | predict |
| DL | p | 1 | 11 | 35 | 1.31549 | 52726.27194 | 13:52:38.81 | -18:42:32.5 | 7 | 7.5 | 7.5 | V | predict |
| DM | p | 2 | 8 | 20 | 4.6694335 | 43583.881 | 14:7:52.43 | -11:9:7.5 | 8.75 | 9.5 | 9.5 | V | predict |
| DM | s | 2 | 8 | 20 | 4.6694335 | 43586.216 | 14:7:52.43 | -11:9:7.5 | 8.75 | 9.5 | 9.5 | V | predict |
| DY | p | 6 | 4 | 10 | 0.934273 | 38901.402 | 12:19:12.2 | +9:22:15.7 | 14.2 | 15.7 | 15.7 | P | predict |
| FO | p | 7 | 3 | 28 | 0.775567 | 45441.711 | 13:29:47.09 | +1:5:43.3 | 6.5 | 6.82 | 6.67 | V | predict |
| FO | s | 7 | 3 | 28 | 0.775567 | 45442.099 | 13:29:47.09 | +1:5:43.3 | 6.5 | 6.82 | 6.67 | V | predict |
| FQ | p | 4 | 6 | 30 | 0.749603 | 53834.1264 | 14:6:30.31 | -15:30:27.9 | 10.1 | 10.9 | 10.9 | P | predict |
| FQ | s | 4 | 6 | 30 | 0.749603 | 53847.2471 | 14:6:30.31 | -15:30:27.9 | 10.1 | 10.9 | 10.9 | P | predict |
| GR | p | 1 | 26 | 54 | 0.346972 | 45116.381 | 14:45:20.26 | -6:44:4.1 | 7.8 | 8.4 | 8.2 | V | predict |
| GR | s | 1 | 26 | 54 | 0.346972 | 45116.554 | 14:45:20.26 | -6:44:4.1 | 7.8 | 8.4 | 8.2 | V | predict |
| HT | p | 1 | 42 | 57 | 0.407673 | 54912.4526 | 13:46:6.75 | +5:6:56.3 | 7.06 | 7.48 | 7.48 | V | predict |
| HT | s | 1 | 42 | 57 | 0.407673 | 54539.63721 | 13:46:6.75 | +5:6:56.3 | 7.06 | 7.48 | 7.48 | V | predict |
| HW | p | 1 | 110 | 634 | 0.11671953 | 53829.1407 | 12:44:20.24 | -8:40:16.9 | 10.5 | 11.2 | 11.2 | V | predict |
| HW | s | 1 | 110 | 634 | 0.11671953 | 53829.0824 | 12:44:20.24 | -8:40:16.9 | 10.5 | 11.2 | 11.2 | V | predict |
| HY | p | 1 | 12 | 17 | 2.732338 | 47240.9696 | 13:8:29.92 | -2:40:44.4 | 7.81 | 8.1 | 8.1 | V | predict |
| HY | s | 1 | 12 | 17 | 2.732338 | 49813.4704 | 13:8:29.92 | -2:40:44.4 | 7.81 | 8.1 | 8.1 | V | predict |
| IK | p | 8 | 2 | 3 | 0.723603 | 51275.365 | 12:13:56.12 | +2:0:34.1 | 11.51 | 11.79 | 11.79 | V | predict |
| IM | p | 9 | 1 | 3 | 1.308622 | 51885.961 | 12:49:38.7 | -6:4:44.9 | 9.74 | 9.89 | 9.89 | V | predict |
| IR | p | 5 | 5 | 7 | 0.369381 | 49825.684 | 12:38:8.46 | -3:59:17.4 | 12.1 | 12.7 | 12.7 | V | predict |
| IR | s | 5 | 5 | 7 | 0.369381 | 49825.499 | 12:38:8.46 | -3:59:17.4 | 12.1 | 12.7 | 12.7 | V | predict |
| KP | p | 10 | 0 | 1 | 2.2772 | 48501.94 | 12:27:50.96 | -10:10:1.6 | 8.42 | 8.79 | 8.79 | | predict |
| KZ | p | 8 | 2 | 3 | 1.13183 | 48500.3165 | 13:12:22.87 | +2:39:13.8 | 8.446 | 8.518 | 8.518 | | predict |
| LM | p | 10 | 0 | 1 | 0.987568 | 48500.1484 | 13:13:26.84 | -18:49:35.1 | 6.294 | 6.331 | 6.331 | | predict |
| LP | p | 10 | 0 | 1 | 1.6835 | 48500.5893 | 13:17:27.33 | -10:32:46.6 | 6.919 | 7.066 | 7.066 | | predict |
| LU | p | 1 | 50 | 58 | 0.492241 | 55666.023 | 13:26:53.51 | -5:55:50.5 | 7.841 | 8.169 | 8.169 | | predict |
| LU | s | 1 | 50 | 58 | 0.492241 | 54950.0381 | 13:26:53.51 | -5:55:50.5 | 7.841 | 8.169 | 8.169 | | predict |
| LV | p | 9 | 1 | 2 | 0.409429 | 48500.1744 | 13:32:46.14 | -17:45:32.7 | 8.501 | 8.679 | 8.679 | | predict |
| MR | p | 9 | 1 | 2 | 1.518658 | 53554.6963 | 14:4:2.26 | -0:21:45.3 | 8.569 | 8.694 | 8.694 | | predict |
| MS | p | 1 | 18 | 24 | 0.3124373 | 54997.33 | 14:6:14.35 | -17:41:18.6 | 9.341 | 9.666 | 9.666 | | predict |
| MS | s | 1 | 18 | 24 | 0.3124373 | 54491.3433 | 14:6:14.35 | -17:41:18.6 | 9.341 | 9.666 | 9.666 | | predict |
| MU | p | 10 | 0 | 1 | 1.34092 | 48500.8627 | 14:12:33.47 | -9:54:0.3 | 7.239 | 7.276 | 7.276 | | predict |
| NN | p | 2 | 8 | 14 | 0.4806868 | 55000.359 | 14:19:37.74 | +5:53:46.7 | 7.3 | 7.67 | 7.67 | V | predict |
| NN | s | 2 | 8 | 14 | 0.4806868 | 54136.3239 | 14:19:37.74 | +5:53:46.7 | 7.3 | 7.67 | 7.67 | V | predict |
| NS | p | 10 | 0 | 2 | 1.291236 | 48500.577 | 14:31:49.76 | +6:41:35.5 | 8.775 | 9.129 | 9.129 | | predict |
| NY | p | 1 | 22 | 48 | 0.10101597 | 51199.681 | 13:38:48.15 | -2:1:49.2 | 13.3 | 14.22 | 13.3 | V | predict |
| NY | s | 1 | 22 | 48 | 0.10101597 | 51199.7315 | 13:38:48.15 | -2:1:49.2 | 13.3 | 14.22 | 13.3 | V | predict |
| NZ | p | 10 | 0 | 1 | 1.650649 | 49481.764 | 14:30:43.9 | +7:19:32 | 11.06 | 11.26 | 11.06 | V | predict |
| PS | p | 1 | 12 | 13 | 0.289806 | 52425.7329 | 11:57:51.28 | +6:27:4.7 | 12 | 12.3 | 12.3 | V | predict |
| PS | s | 1 | 12 | 13 | 0.289806 | 52425.8778 | 11:57:51.28 | +6:27:4.7 | 12 | 12.3 | 12.3 | V | predict |
| PT | p | 7 | 3 | 4 | 0.308181 | 52386.422 | 12:24:22.97 | +10:35:14 | 13.38 | 13.56 | 13.5 | R | predict |
| PT | s | 7 | 3 | 4 | 0.308181 | 52386.57609 | 12:24:22.97 | +10:35:14 | 13.38 | 13.56 | 13.5 | R | predict |
| PY | p | 1 | 15 | 16 | 0.311248 | 54998.282 | 13:10:32 | -4:9:33 | 9.6 | 10.1 | 10 | c | predict |
| PY | s | 1 | 15 | 16 | 0.311248 | 55690.3317 | 13:10:32 | -4:9:33 | 9.6 | 10.1 | 10 | c | predict |
| QS | p | 9 | 1 | 2 | 0.150757525 | 52295.6096 | 13:49:52 | -13:13:37 | 14.27 | 17.76 | 14.27 | U | predict |
| QU | p | 10 | 0 | 1 | 0.399249 | 52415.018 | 14:5:43.23 | +0:34:11 | 11.75 | 12.05 | 12.03 | R | predict |
| QX | p | 1 | 12 | 12 | 0.242294 | 53094.5055 | 14:36:28.38 | -5:36:21.6 | 13.31 | 13.6 | 13.6 | V | predict |
| QX | s | 1 | 12 | 12 | 0.242294 | 53094.627 | 14:36:28.38 | -5:36:21.6 | 13.31 | 13.6 | 13.6 | V | predict |
| V 338 | p | 9 | 1 | 1 | 2.9927 | 53900.5899 | 13:11:17.41 | -11:6:21.2 | 9.2 | 9.4 | 9.2 | V | predict |
| V 340 | p | 7 | 3 | 3 | 0.45486 | 52879.487 | 13:13:24.3 | -13:57:56 | 11.53 | 12.22 | 11.85 | V | predict |
| V 340 | s | 7 | 3 | 3 | 0.45486 | 55623.8864 | 13:13:24.3 | -13:57:56 | 11.53 | 12.22 | 11.85 | V | predict |
| V 342 | p | 8 | 2 | 2 | 0.754193 | 54315.524 | 13:27:10.2 | -4:10:21 | 10.5 | 10.86 | 10.5 | V | predict |
| V 347 | p | 9 | 1 | 1 | 0.81672 | 53090.714 | 13:54:41.9 | -22:4:52 | 11.75 | 12.43 | 11.85 | V | predict |
| V 349 | p | 10 | 0 | 1 | 2.12408 | 48612.396 | 14:26:3.1 | -0:41:30 | 8.29 | 8.34 | 8.3 | V | predict |
| G0285.1075 | p | 1 | 9 | 10 | 0.354316 | 53922.294 | 12:24:18 | +3:51:34 | 12.21 | 12.84 | 12.6 | c | predict |
| G0285.1075 | s | 1 | 9 | 10 | 0.354316 | 51259.785 | 12:24:18 | +3:51:34 | 12.21 | 12.84 | 12.6 | c | predict |
| G0330.1394 | p | 8 | 2 | 3 | 0.436873 | 52125.5 | 14:56:16 | +4:2:24 | 11.34 | 11.83 | 11.83 | V | predict |
| G0330.1394 | s | 8 | 2 | 3 | 0.436873 | 54965.8311 | 14:56:16 | +4:2:24 | 11.34 | 11.83 | 11.83 | V | 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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