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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 Dra
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
| Z | p | 1 | 59 | 783 | 1.35743 | 46939.503 | 11:45:29.21 | +72:14:58.4 | 10.8 | 14.1 | 11 | P | predict |
| Z | s | 1 | 59 | 783 | 1.35743 | 46940.1817 | 11:45:29.21 | +72:14:58.4 | 10.8 | 14.1 | 11 | P | predict |
| RR | p | 1 | 9 | 222 | 2.831302 | 53226.573 | 18:41:47.4 | +62:40:35 | 10 | 13.3 | 10.1 | V | predict |
| RX | p | 1 | 9 | 39 | 3.786395 | 4196.353 | 19:2:42.02 | +58:43:58 | 10 | 10.5 | 10.3 | V | predict |
| RX | s | 1 | 9 | 39 | 3.786395 | 3592.4166 | 19:2:42.02 | +58:43:58 | 10 | 10.5 | 10.3 | V | predict |
| RZ | p | 1 | 70 | 829 | 0.5508762 | 45225.323 | 18:23:5.41 | +58:54:12.8 | 10.11 | 11.01 | 10.5 | V | predict |
| RZ | s | 1 | 70 | 829 | 0.5508762 | 54217.55 | 18:23:5.41 | +58:54:12.8 | 10.11 | 11.01 | 10.5 | V | predict |
| SX | p | 3 | 7 | 90 | 5.16957 | 53302.467 | 18:4:33.88 | +58:23:54.3 | 9.8 | 11.6 | 10 | V | predict |
| TW | p | 1 | 42 | 538 | 2.806857 | 33310.238 | 15:33:51.06 | +63:54:25.7 | 8 | 10.5 | 8 | P | predict |
| TW | s | 1 | 42 | 538 | 2.806857 | 54197.4719 | 15:33:51.06 | +63:54:25.7 | 8 | 10.5 | 8 | P | predict |
| TZ | p | 1 | 28 | 264 | 0.8660335 | 55682.4372 | 18:22:11.67 | +47:34:8 | 9.6 | 10.5 | 9.6 | P | predict |
| TZ | s | 1 | 28 | 264 | 0.8660335 | 54658.3585 | 18:22:11.67 | +47:34:8 | 9.6 | 10.5 | 9.6 | P | predict |
| UZ | p | 1 | 22 | 275 | 3.2613024 | 41570.283 | 19:25:55.05 | +68:56:7.2 | 9.9 | 10.7 | 10.6 | P | predict |
| UZ | s | 1 | 22 | 275 | 3.2613024 | 52836.4543 | 19:25:55.05 | +68:56:7.2 | 9.9 | 10.7 | 10.6 | P | predict |
| WW | p | 1 | 9 | 96 | 4.62972 | 55650.5224 | 16:39:3.98 | +60:41:58.8 | 8.3 | 9 | 8.38 | V | predict |
| WW | s | 1 | 9 | 96 | 4.62972 | 28022.665 | 16:39:3.98 | +60:41:58.8 | 8.3 | 9 | 8.38 | V | predict |
| WX | p | 3 | 7 | 20 | 1.8018647 | 53256.41 | 18:52:10.38 | +47:48:17.2 | 13.5 | 15.3 | 13.5 | B | predict |
| XY | p | 1 | 10 | 36 | 2.315227 | 25738.249 | 18:18:17.1 | +55:3:32.5 | 13.4 | 14.5 | 13.7 | P | predict |
| XY | s | 1 | 10 | 36 | 2.315227 | 52568.263 | 18:18:17.1 | +55:3:32.5 | 13.4 | 14.5 | 13.7 | P | predict |
| AI | p | 1 | 47 | 930 | 1.198816 | 43291.637 | 16:56:18.15 | +52:41:54.4 | 7.05 | 8.09 | 7.16 | V | predict |
| AI | s | 1 | 47 | 930 | 1.198816 | 43292.236 | 16:56:18.15 | +52:41:54.4 | 7.05 | 8.09 | 7.16 | V | predict |
| AK | p | 1 | 9 | 37 | 2.218255 | 55692.4893 | 18:16:43.17 | +53:14:47.5 | 11.8 | 12.6 | 11.8 | P | predict |
| AK | s | 1 | 9 | 37 | 2.218255 | 55682.5042 | 18:16:43.17 | +53:14:47.5 | 11.8 | 12.6 | 11.8 | P | predict |
| AR | p | 1 | 17 | 123 | 0.675838 | 55684.838 | 12:16:36.55 | +64:51:27.3 | 11.29 | 12.51 | 11.63 | V | predict |
| AR | s | 1 | 17 | 123 | 0.675838 | 54831.59429 | 12:16:36.55 | +64:51:27.3 | 11.29 | 12.51 | 11.63 | V | predict |
| AU | p | 1 | 15 | 55 | 0.5152665 | 53107.556 | 17:35:21.3 | +68:38:19.1 | 12.3 | 13.1 | 12.3 | P | predict |
| AU | s | 1 | 15 | 55 | 0.5152665 | 50823.6397 | 17:35:21.3 | +68:38:19.1 | 12.3 | 13.1 | 12.3 | P | predict |
| AX | p | 1 | 41 | 100 | 0.5681633 | 26767.675 | 12:40:15.2 | +66:16:31.8 | 10.9 | 11.6 | 11 | P | predict |
| AX | s | 1 | 41 | 100 | 0.5681633 | 26767.9591 | 12:40:15.2 | +66:16:31.8 | 10.9 | 11.6 | 11 | P | predict |
| BE | p | 1 | 24 | 77 | 0.522495 | 36317.368 | 18:25:56.92 | +68:57:43.5 | 11.3 | 11.8 | 11.5 | P | predict |
| BE | s | 1 | 24 | 77 | 0.522495 | 36317.62925 | 18:25:56.92 | +68:57:43.5 | 11.3 | 11.8 | 11.5 | P | predict |
| BF | p | 1 | 33 | 68 | 11.211 | 36317.469 | 18:50:59.35 | +69:52:57.5 | 10.1 | 10.8 | 10.1 | P | predict |
| BF | s | 1 | 33 | 68 | 11.211 | 53464.87251 | 18:50:59.35 | +69:52:57.5 | 10.1 | 10.8 | 10.1 | P | predict |
| BH | p | 1 | 11 | 195 | 1.81723857 | 40019.7982 | 19:3:39.54 | +57:27:25.9 | 8.38 | 9.27 | 8.58 | V | predict |
| BL | p | 5 | 5 | 15 | 0.402665 | 51276.945 | 19:40:24.61 | +60:55:13.1 | 11.9 | 12.2 | 11.9 | P | predict |
| BL | s | 5 | 5 | 15 | 0.402665 | 51277.146 | 19:40:24.61 | +60:55:13.1 | 11.9 | 12.2 | 11.9 | P | predict |
| BM | p | 10 | 0 | 13 | 3.529285 | 26626.39 | 19:45:41.72 | +58:32:19.4 | 14.6 | 15.7 | 14.6 | P | predict |
| BP | p | 10 | 0 | 9 | 0.9868 | 37904.512 | 19:57:43.18 | +60:0:53.4 | 14.4 | 14.9 | 14.7 | P | predict |
| BP | s | 10 | 0 | 9 | 0.9868 | 37944.473 | 19:57:43.18 | +60:0:53.4 | 14.4 | 14.9 | 14.7 | P | predict |
| BS | p | 4 | 6 | 158 | 3.364012 | 53692.97265 | 19:56:28.77 | +73:36:57.5 | 9.12 | 9.86 | 9.84 | V | predict |
| BS | s | 4 | 6 | 158 | 3.364012 | 49543.4702 | 19:56:28.77 | +73:36:57.5 | 9.12 | 9.86 | 9.84 | V | predict |
| BU | p | 1 | 10 | 123 | 3.8283652 | 28656.51 | 14:58:40.06 | +56:45:7.2 | 10.4 | 11.4 | 10.4 | P | predict |
| BU | s | 1 | 10 | 123 | 3.8283652 | 28658.4242 | 14:58:40.06 | +56:45:7.2 | 10.4 | 11.4 | 10.4 | P | predict |
| BV | p | 1 | 30 | 127 | 0.350067 | 44474.327 | 15:11:50.36 | +61:51:25.3 | 7.88 | 8.48 | 7.88 | V | predict |
| BV | s | 1 | 30 | 127 | 0.350067 | 53634.3578 | 15:11:50.36 | +61:51:25.3 | 7.88 | 8.48 | 7.88 | V | predict |
| BW | p | 1 | 26 | 114 | 0.292165 | 42572.538 | 15:11:50.11 | +61:51:41.3 | 8.61 | 9.08 | 9.02 | V | predict |
| BW | s | 1 | 26 | 114 | 0.292165 | 42572.684 | 15:11:50.11 | +61:51:41.3 | 8.61 | 9.08 | 9.02 | V | predict |
| BX | p | 1 | 9 | 67 | 0.579028 | 49810.5925 | 16:6:17.37 | +62:45:46.1 | 11.5 | 12.2 | 11.5 | P | predict |
| BX | s | 1 | 9 | 67 | 0.579028 | 49810.882 | 16:6:17.37 | +62:45:46.1 | 11.5 | 12.2 | 11.5 | P | predict |
| CM | p | 1 | 23 | 104 | 1.26838965 | 42893.9325 | 16:34:20.2 | +57:9:44 | 12.87 | 13.63 | 13.63 | V | predict |
| CM | s | 1 | 23 | 104 | 1.26838965 | 50895.5706 | 16:34:20.2 | +57:9:44 | 12.87 | 13.63 | 13.63 | V | predict |
| CV | p | 1 | 14 | 79 | 0.61759874 | 47305.4392 | 17:31:57.24 | +57:10:42.3 | 9.5 | 10.1 | 9.5 | P | predict |
| CV | s | 1 | 14 | 79 | 0.61759874 | 53900.491 | 17:31:57.24 | +57:10:42.3 | 9.5 | 10.1 | 9.5 | P | predict |
| DE | p | 10 | 0 | 5 | 5.29822 | 51776.317 | 20:19:36.72 | +62:15:26.9 | 5.72 | 5.88 | 5.72 | V | predict |
| DF | p | 10 | 0 | 2 | 2.8064 | 51274.999 | 20:38:46.37 | +69:36:8.7 | 13.06 | 13.65 | 13.06 | V | predict |
| DG | p | 10 | 0 | 3 | 0.571373 | 51274.362 | 19:5:3.38 | +57:7:32.4 | 9.4 | 9.4 | 9.4 | V | predict |
| DW | p | 4 | 6 | 90 | 1.226363 | 55628.4686 | 19:21:39.06 | +69:56:3.3 | 14 | 15.5 | 14 | P | predict |
| EF | p | 1 | 32 | 93 | 0.424029 | 48491.568 | 18:5:30.4 | +69:45:16 | 10.48 | 10.82 | 10.48 | V | predict |
| EF | s | 1 | 32 | 93 | 0.424029 | 48491.78 | 18:5:30.4 | +69:45:16 | 10.48 | 10.82 | 10.48 | V | predict |
| FK | p | 10 | 0 | 2 | 2.00079 | 51318.745 | 12:30:11.67 | +63:53:20.5 | 9.3 | 9.79 | 9.3 | V | predict |
| FU | p | 1 | 61 | 82 | 0.3067175 | 48500.263 | 15:34:45.21 | +62:16:44.3 | 10.551 | 11.098 | 10.551 | V | predict |
| FU | s | 1 | 61 | 82 | 0.3067175 | 53939.4375 | 15:34:45.21 | +62:16:44.3 | 10.551 | 11.098 | 10.551 | V | predict |
| FX | p | 6 | 4 | 6 | 0.8166 | 55296.45335 | 15:43:47.63 | +58:1:27.3 | 9.288 | 9.592 | 9.288 | V | predict |
| FX | s | 6 | 4 | 6 | 0.8166 | 55076.38217 | 15:43:47.63 | +58:1:27.3 | 9.288 | 9.592 | 9.288 | V | predict |
| GG | p | 10 | 0 | 2 | 2.26951 | 51423.476 | 16:31:55.62 | +52:59:27.1 | 8.766 | 8.889 | 8.766 | V | predict |
| GK | p | 10 | 0 | 3 | 9.9713 | 52005.56 | 16:45:41.19 | +68:15:30.8 | 8.78 | 9.2 | 8.78 | V | predict |
| GK | s | 10 | 0 | 3 | 9.9713 | 48520.59 | 16:45:41.19 | +68:15:30.8 | 8.78 | 9.2 | 8.78 | V | predict |
| GM | p | 1 | 12 | 16 | 0.3387425 | 55755.3665 | 17:20:21.88 | +57:58:27 | 8.794 | 9.025 | 8.794 | V | predict |
| GM | s | 1 | 12 | 16 | 0.3387425 | 55755.5379 | 17:20:21.88 | +57:58:27 | 8.794 | 9.025 | 8.794 | V | predict |
| GQ | p | 3 | 7 | 11 | 0.765902 | 54599.4421 | 17:25:29.44 | +51:29:35.1 | 8.979 | 9.423 | 8.979 | V | predict |
| GQ | s | 3 | 7 | 11 | 0.765902 | 48500.94705 | 17:25:29.44 | +51:29:35.1 | 8.979 | 9.423 | 8.979 | V | predict |
| GV | p | 5 | 5 | 7 | 23.85433 | 51738.411 | 17:53:27.5 | +52:23:7.7 | 8.588 | 9.11 | 8.588 | V | predict |
| GV | s | 5 | 5 | 7 | 23.85433 | 55662.5805 | 17:53:27.5 | +52:23:7.7 | 8.588 | 9.11 | 8.588 | V | predict |
| HI | p | 7 | 3 | 7 | 0.597419 | 48500.322 | 18:33:24.36 | +58:42:23.4 | 9.025 | 9.198 | 9.18 | V | predict |
| HI | s | 7 | 3 | 7 | 0.597419 | 55732.3786 | 18:33:24.36 | +58:42:23.4 | 9.025 | 9.198 | 9.18 | V | predict |
| HL | p | 1 | 9 | 10 | 0.944276 | 55461.3952 | 18:34:26.3 | +57:48:6.5 | 7.348 | 7.662 | 7.348 | V | predict |
| HL | s | 1 | 9 | 10 | 0.944276 | 55454.3142 | 18:34:26.3 | +57:48:6.5 | 7.348 | 7.662 | 7.348 | V | predict |
| HP | p | 9 | 1 | 3 | 10.7615305 | 51041.4812 | 18:54:53.48 | +51:18:29.8 | 8.06 | 8.36 | 8.06 | V | predict |
| HZ | p | 5 | 5 | 7 | 0.772935 | 48500.765 | 19:46:2.54 | +69:55:9 | 8.16 | 8.32 | 8.16 | V | predict |
| HZ | s | 5 | 5 | 7 | 0.772935 | 48501.151 | 19:46:2.54 | +69:55:9 | 8.16 | 8.32 | 8.16 | V | predict |
| IV | p | 2 | 8 | 20 | 0.2681055 | 50977.4985 | 15:36:23.26 | +53:19:11.3 | 13.7 | 14.1 | 13.7 | R | predict |
| IV | s | 2 | 8 | 20 | 0.2681055 | 54952.8335 | 15:36:23.26 | +53:19:11.3 | 13.7 | 14.1 | 13.7 | R | predict |
| KK | p | 1 | 9 | 71 | 1.19284 | 51347.47 | 19:7:56.56 | +59:23:52.1 | 11.8 | 14.8 | 11.8 | V | predict |
| KK | s | 1 | 9 | 71 | 1.19284 | 51348.066 | 19:7:56.56 | +59:23:52.1 | 11.8 | 14.8 | 11.8 | V | predict |
| KP | p | 9 | 1 | 3 | 2.012412 | 50726.54 | 20:5:23.54 | +63:24:57 | 12 | 14.4 | 12 | V | predict |
| KZ | p | 3 | 7 | 8 | 2.23385 | 52861.4847 | 20:11:19.87 | +68:33:30.7 | 11.2 | 12.4 | 11.2 | V | predict |
| LN | p | 3 | 7 | 10 | 0.612142 | 51306.863 | 17:45:55.42 | +52:38:4.5 | 12 | 12.55 | 12 | V | predict |
| LN | s | 3 | 7 | 10 | 0.612142 | 51280.8477 | 17:45:55.42 | +52:38:4.5 | 12 | 12.55 | 12 | V | predict |
| LQ | p | 6 | 4 | 20 | 1.84163 | 51274.858 | 18:19:41.84 | +50:10:38.4 | 11.63 | 13.45 | 11.63 | V | predict |
| LQ | s | 6 | 4 | 20 | 1.84163 | 51275.779 | 18:19:41.84 | +50:10:38.4 | 11.63 | 13.45 | 11.63 | V | predict |
| LU | p | 9 | 1 | 4 | 7.5872 | 51310.79 | 18:59:1.88 | +52:28:5.4 | 12.2 | 12.6 | 12.2 | c | predict |
| LU | s | 9 | 1 | 4 | 7.5872 | 51306.92 | 18:59:1.88 | +52:28:5.4 | 12.2 | 12.6 | 12.2 | c | predict |
| LZ | p | 5 | 5 | 19 | 0.35035 | 51470.179 | 19:34:33.82 | +74:3:5.9 | 12 | 12.5 | 12 | P | predict |
| LZ | s | 5 | 5 | 19 | 0.35035 | 51470.354 | 19:34:33.82 | +74:3:5.9 | 12 | 12.5 | 12 | P | predict |
| MM | p | 8 | 2 | 3 | 0.2644 | 51457.04 | 19:59:44.35 | +65:10:5.9 | 14.54 | 14.9 | 14.54 | V | predict |
| MM | s | 8 | 2 | 3 | 0.2644 | 51457.1722 | 19:59:44.35 | +65:10:5.9 | 14.54 | 14.9 | 14.54 | V | predict |
| MO | p | 10 | 0 | 1 | 2.4543 | 51274.97 | 20:23:57.6 | +63:2:32.7 | 12.93 | 14.45 | 12.93 | V | predict |
| MU | p | 1 | 11 | 24 | 0.349664 | 55104.3112 | 18:58:35.33 | +50:9:29.6 | 12.76 | 12.96 | 12.76 | V | predict |
| MU | s | 1 | 11 | 24 | 0.349664 | 52181.294 | 18:58:35.33 | +50:9:29.6 | 12.76 | 12.96 | 12.76 | V | predict |
| MW | p | 10 | 0 | 1 | 3.28935 | 51284.615 | 9:50:17.1 | +74:58:16 | 9.14 | 9.7 | 9.2 | V | predict |
| MY | p | 9 | 1 | 2 | 1.71326 | 55655.4064 | 12:27:43.1 | +67:58:5 | 11.58 | 12.22 | 11.7 | c | predict |
| MZ | p | 10 | 0 | 1 | 0.84034 | 51620.769 | 12:28:24.7 | +74:14:7 | 11.86 | 12.1 | 11.96 | c | predict |
| NN | p | 7 | 3 | 4 | 0.382879 | 51285.669 | 13:4:2.98 | +65:15:24.4 | 12.34 | 12.98 | 12.9 | R | predict |
| NN | s | 7 | 3 | 4 | 0.382879 | 51285.86 | 13:4:2.98 | +65:15:24.4 | 12.34 | 12.98 | 12.9 | R | predict |
| NO | p | 10 | 0 | 1 | 5.47798 | 48953.47 | 15:11:44.5 | +63:37:19 | 8.02 | 8.14 | 8.13 | c | predict |
| NP | p | 10 | 0 | 1 | 3.10886 | 48604.78 | 17:35:16.3 | +55:0:12 | 9.04 | 9.15 | 9.15 | V | predict |
| NS | p | 10 | 0 | 2 | 50.517 | 51462 | 9:42:54.62 | +78:56:54.6 | 11.27 | 11.55 | 11.27 | c | predict |
| NS | s | 10 | 0 | 2 | 50.517 | 51493.82571 | 9:42:54.62 | +78:56:54.6 | 11.27 | 11.55 | 11.27 | c | predict |
| NT | p | 9 | 1 | 2 | 1.63993 | 55560.824 | 9:43:42.91 | +77:26:49.7 | 12.85 | 13.4 | 13.3 | R | predict |
| NU | p | 10 | 0 | 1 | 6.1513 | 51567.77 | 10:15:36.64 | +76:41:54.2 | 11 | 11.26 | 11.06 | R | predict |
| NV | p | 10 | 0 | 1 | 1.05715 | 51348.757 | 10:41:1.54 | +74:40:57.8 | 12.85 | 13.4 | 13.3 | R | predict |
| NW | p | 9 | 1 | 2 | 0.728091 | 51378.194 | 11:32:5.94 | +69:57:41.5 | 12.91 | 13.56 | 13.45 | R | predict |
| NW | s | 9 | 1 | 2 | 0.728091 | 55605.8588 | 11:32:5.94 | +69:57:41.5 | 12.91 | 13.56 | 13.45 | R | predict |
| NX | p | 9 | 1 | 1 | 0.27582 | 54533.584 | 11:34:7.86 | +75:16:42.9 | 12.62 | 12.83 | 12.83 | V | predict |
| OO | p | 9 | 1 | 2 | 1.23837 | 54861.4032 | 11:40:1.41 | +75:9:21.5 | 11.4 | 11.8 | 11.4 | R | predict |
| OP | p | 9 | 1 | 1 | 0.323163 | 54504.5249 | 11:40:42.7 | +75:36:15 | 14.71 | 15.09 | 15 | V | predict |
| OQ | p | 10 | 0 | 1 | 0.33967 | 51414.113 | 11:49:25.88 | +72:34:1.4 | 13.2 | 13.8 | 13.2 | R | predict |
| OV | p | 9 | 1 | 1 | 0.0587357 | 53407.55966 | 12:50:23.9 | +66:55:25 | 19 | 20.7 | 19 | c | predict |
| OX | p | 7 | 3 | 4 | 2.34905 | 55685.8092 | 13:7:27.53 | +69:10:19 | 12.28 | 13.25 | 12.5 | R | predict |
| OZ | p | 9 | 1 | 1 | 0.136647 | 52487.7164 | 13:27:23.4 | +65:28:54 | 18 | 20 | 18 | B | predict |
| PQ | p | 10 | 0 | 1 | 0.320947 | 51393.779 | 14:30:33.86 | +55:33:13.5 | 13.9 | 14.5 | 14.05 | R | predict |
| PR | p | 10 | 0 | 1 | 0.37476 | 51341.649 | 14:35:10.62 | +59:30:34.6 | 13.3 | 13.6 | 13.55 | R | predict |
| PS | p | 10 | 0 | 1 | 0.43747 | 51414.584 | 14:48:3.43 | +62:44:41.7 | 13.05 | 13.35 | 13.3 | R | predict |
| PT | p | 10 | 0 | 1 | 0.27077 | 51400.953 | 14:59:9.34 | +55:8:48.1 | 14.3 | 14.9 | 14.3 | R | predict |
| PU | p | 10 | 0 | 1 | 1.54565 | 51420.625 | 15:0:38.61 | +57:46:30.5 | 12.05 | 14.4 | 12.05 | R | predict |
| PV | p | 10 | 0 | 1 | 1.27745 | 51469.26 | 15:6:27.73 | +60:18:20.9 | 13.3 | 13.7 | 13.3 | R | predict |
| PX | p | 10 | 0 | 1 | 2.44405 | 48832.12 | 15:7:50.16 | +63:7:1.6 | 6.82 | 6.95 | 6.82 | V | predict |
| PZ | p | 10 | 0 | 1 | 0.76433 | 51401.003 | 15:12:12.51 | +56:45:10.4 | 12.7 | 13.05 | 12.7 | R | predict |
| QU | p | 10 | 0 | 1 | 0.276917 | 51408.415 | 15:25:23.43 | +56:45:49.2 | 14.1 | 14.8 | 14.1 | R | predict |
| V 338 | p | 10 | 0 | 1 | 0.23515 | 51328.988 | 15:49:11.14 | +60:38:2.9 | 13.3 | 13.9 | 13.3 | R | predict |
| V 339 | p | 10 | 0 | 1 | 0.4574 | 51385.88 | 15:49:57.07 | +55:21:42 | 13.4 | 14 | 13.4 | R | predict |
| V 341 | p | 9 | 1 | 2 | 1.65042 | 55677.7229 | 15:52:57.67 | +68:43:29.9 | 10.1 | 10.43 | 10.24 | R | predict |
| V 342 | p | 10 | 0 | 1 | 0.39221 | 51391.78 | 15:53:2.37 | +55:4:31.6 | 12.65 | 13.05 | 12.65 | R | predict |
| V 343 | p | 10 | 0 | 1 | 3.772 | 51389.09 | 15:53:11.05 | +54:9:6.5 | 12.4 | 13.05 | 12.4 | R | predict |
| V 344 | p | 10 | 0 | 1 | 0.3329 | 51375.7 | 15:57:9.14 | +58:10:0.7 | 13.7 | 14.2 | 13.7 | R | predict |
| G3523.0505 | p | 1 | 18 | 18 | 0.238912 | 54388.298 | 17:53:4.8 | +51:29:11.8 | 13.4 | 13.9 | 13.4 | c | predict |
| G3523.0505 | s | 1 | 18 | 18 | 0.238912 | 55083.425 | 17:53:4.8 | +51:29:11.8 | 13.4 | 13.9 | 13.4 | c | predict |
| G3552.0321 | p | 1 | 10 | 10 | 0.437414 | 54998.8293 | 18:55:50.32 | +51:0:9.7 | 12 | 12.5 | 12.5 | c | predict |
| G3552.0321 | s | 1 | 10 | 10 | 0.437414 | 53984.684 | 18:55:50.32 | +51:0:9.7 | 12 | 12.5 | 12.5 | c | predict |
| G3552.0760 | p | 9 | 1 | 1 | 0.437414 | 53325.2793 | 18:56:7 | +51:1:18 | 12.53 | 12.82 | 12.53 | c | predict |
| G3881.0579 | p | 8 | 2 | 2 | 0.3293363 | 53128.485 | 16:27:44.16 | +56:45:59.3 | 11.41 | 11.989 | 11.915 | R | predict |
| G3881.0579 | s | 8 | 2 | 2 | 0.3293363 | 53128.32 | 16:27:44.16 | +56:45:59.3 | 12.27 | 12.849 | 12.775 | B | predict |
| G3882.2264 | p | 8 | 2 | 2 | 0.3539968 | 53128.287 | 16:41:48.75 | +56:22:34.4 | 12.825 | 13.573 | 13.406 | R | predict |
| G3882.2264 | s | 8 | 2 | 2 | 0.3539968 | 53128.464 | 16:41:48.75 | +56:22:34.4 | 12.825 | 13.573 | 13.406 | R | predict |
| G3888.0464 | p | 1 | 15 | 15 | 0.316906 | 52854.5659 | 17:26:22.6 | +53:50:31 | 13 | 14 | 13 | c | predict |
| G3888.0464 | s | 1 | 15 | 15 | 0.316906 | 52854.7243 | 17:26:22.6 | +53:50:31 | 13 | 14 | 13 | c | predict |
| G3900.0615 | p | 6 | 4 | 5 | 0.53353 | 55356.774 | 17:25:40.81 | +59:15:31.3 | 10.39 | 11.09 | 10.39 | c | predict |
| G3900.0615 | s | 6 | 4 | 5 | 0.53353 | 55328.7644 | 17:25:40.81 | +59:15:31.3 | 10.39 | 11.09 | 10.39 | c | predict |
| G3905.0060 | p | 1 | 11 | 11 | 0.413036 | 53600.3847 | 18:31:13.4 | +52:47:8.2 | 11.54 | 11.88 | 11.54 | c | predict |
| G3905.0060 | s | 1 | 11 | 11 | 0.413036 | 53600.591 | 18:31:13.4 | +52:47:8.2 | 11.54 | 11.88 | 11.54 | c | predict |
| G4192.2377 | p | 10 | 0 | 1 | 0.50728 | 51465.614 | 16:8:32.56 | +63:18:38.7 | 12.4 | 12.7 | 12.4 | R | predict |
| G4236.0125 | p | 10 | 0 | 1 | 0.316058 | 51361.814 | 20:6:46.21 | +63:18:37.8 | 13.75 | 14.4 | 13.75 | R | predict |
| G4244.0599 | p | 10 | 0 | 1 | 0.678499 | 51484.939 | 20:9:28.09 | +65:45:43.4 | 13.35 | 13.8 | 13.35 | R | predict |
| G4420.1984 | p | 7 | 3 | 4 | 0.619277 | 51356.754 | 16:55:57.01 | +68:11:59.4 | 11.55 | 12.15 | 11.55 | c | predict |
| G4446.0787 | p | 10 | 0 | 1 | 0.522205 | 51359.896 | 20:4:46.79 | +68:29:57.4 | 12.32 | 12.64 | 12.32 | R | 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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> Minima predictions < > Transits predictions <
New data MEDUZA & HERO:
CCD: M. Lehkı: , , , , , , , P. Dubovskı: , , , VIZ: P. Dubovskı: , , , , , , , , , , , , , , , , , , , ,
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