|
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 And
|
|
N10 |
N |
PERIOD |
MIN0 |
RA 2000 |
DE 2000 |
MAX |
MINP |
MINS |
|
|
RT | p | 1 | 34 | 1576 | 0.62892951 | 51463.24 | 23:11:10.11 | +53:1:33.2 | 8.55 | 9.47 | 8.88 | V | predict |
RT | s | 1 | 34 | 1576 | 0.62892951 | 55758.5155 | 23:11:10.11 | +53:1:33.2 | 8.55 | 9.47 | 8.88 | V | predict |
SY | p | 10 | 0 | 44 | 34.9089 | 51448.668 | 0:13:16.4 | +43:42:42 | 10.7 | 12.2 | 10.7 | V | predict |
TT | p | 8 | 2 | 114 | 2.76512 | 55039.4804 | 23:13:22.9 | +46:8:51 | 11.5 | 13 | 11.6 | V | predict |
TW | p | 8 | 3 | 178 | 4.122766 | 52910.01 | 0:3:18.19 | +32:50:45.1 | 8.8 | 10.86 | 8.94 | V | predict |
TW | s | 8 | 3 | 178 | 4.122766 | 39022.4718 | 0:3:18.19 | +32:50:45.1 | 8.8 | 10.86 | 8.94 | V | predict |
UU | p | 6 | 4 | 223 | 1.486301 | 55456.62189 | 0:43:45.1 | +30:56:20 | 11.2 | 14.2 | 11.2 | V | predict |
UU | s | 6 | 4 | 223 | 1.486301 | 41651.113 | 0:43:45.1 | +30:56:20 | 11.2 | 14.2 | 11.2 | V | predict |
WW | p | 10 | 0 | 34 | 23.28527 | 22719.4 | 23:44:53.54 | +45:41:11.5 | 10.3 | 11.4 | 10.3 | V | predict |
WX | p | 7 | 3 | 42 | 3.00114 | 34678.656 | 0:45:37.4 | +28:45:0 | 12.1 | 13.8 | 12.1 | V | predict |
WZ | p | 1 | 15 | 414 | 0.695661 | 42683.771 | 1:1:43.7 | +38:5:47 | 11.6 | 12.7 | 11.9 | P | predict |
WZ | s | 1 | 15 | 414 | 0.695661 | 42684.119 | 1:1:43.7 | +38:5:47 | 11.6 | 12.7 | 11.9 | P | predict |
XZ | p | 1 | 20 | 1098 | 1.3572855 | 23977.1915 | 1:56:51.5 | +42:6:3 | 10.02 | 12.99 | 10.03 | P | predict |
XZ | s | 1 | 20 | 1098 | 1.3572855 | 23977.8711 | 1:56:51.5 | +42:6:3 | 10.02 | 12.99 | 10.03 | P | predict |
AA | p | 1 | 9 | 52 | 0.9350967 | 29880.74 | 23:5:22.85 | +47:40:34.8 | 10.3 | 10.9 | 10.5 | P | predict |
AA | s | 1 | 9 | 52 | 0.9350967 | 52224.414 | 23:5:22.85 | +47:40:34.8 | 10.3 | 10.9 | 10.5 | P | predict |
AB | p | 1 | 54 | 1992 | 0.3318893 | 16103.759 | 23:11:32.01 | +36:53:35.6 | 9.5 | 10.32 | 10.2 | V | predict |
AB | s | 1 | 54 | 1992 | 0.3318893 | 16103.925 | 23:11:32.01 | +36:53:35.6 | 9.5 | 10.32 | 10.2 | V | predict |
AD | p | 1 | 18 | 295 | 0.986194 | 39002.435 | 23:36:45 | +48:40:16 | 10.9 | 11.6 | 11.6 | P | predict |
AD | s | 1 | 18 | 295 | 0.986194 | 39002.9281 | 23:36:45 | +48:40:16 | 10.9 | 11.6 | 11.6 | P | predict |
AM | p | 10 | 0 | 23 | 8.85051 | 30696.373 | 0:5:7.5 | +48:27:5 | 12.5 | 13.7 | 12.5 | P | predict |
AN | p | 9 | 1 | 18 | 3.219564 | 36095.726 | 23:18:23.33 | +41:46:25.3 | 6 | 6.16 | 6.09 | P | predict |
AP | p | 1 | 61 | 219 | 1.587291 | 54017.6636 | 23:49:30.8 | +45:47:21 | 11.3 | 11.9 | 11.9 | P | predict |
AP | s | 1 | 61 | 219 | 1.587291 | 26274.19565 | 23:49:30.8 | +45:47:21 | 11.3 | 11.9 | 11.9 | P | predict |
AS | p | 6 | 4 | 9 | 2.420602 | 54787.6587 | 23:39:2.2 | +47:14:48 | 13.8 | 15.2 | 13.8 | P | predict |
BD | p | 1 | 34 | 131 | 0.4629026 | 34962.4 | 23:7:5.2 | +50:57:31 | 11.3 | 11.7 | 11.4 | P | predict |
BD | s | 1 | 34 | 131 | 0.4629026 | 29139.305 | 23:7:5.2 | +50:57:31 | 11.3 | 11.7 | 11.4 | P | predict |
BL | p | 1 | 12 | 113 | 0.722376 | 47481.316 | 23:11:24.2 | +51:52:32 | 11 | 11.74 | 11.24 | P | predict |
BL | s | 1 | 12 | 113 | 0.722376 | 50727.3182 | 23:11:24.2 | +51:52:32 | 11 | 11.74 | 11.24 | P | predict |
BO | p | 9 | 1 | 32 | 5.79741 | 27360.31 | 22:58:38.2 | +45:31:51 | 13.4 | 16.3 | 13.4 | P | predict |
BX | p | 1 | 22 | 328 | 0.61011291 | 52231.27 | 2:9:3.42 | +40:47:39.2 | 8.9 | 9.57 | 9.15 | P | predict |
BX | s | 1 | 22 | 328 | 0.61011291 | 55475.5505 | 2:9:3.42 | +40:47:39.2 | 8.9 | 9.57 | 9.15 | P | predict |
CD | p | 10 | 0 | 17 | 34.4438 | 51799.56 | 1:26:28.4 | +44:21:25 | 9.8 | 10.3 | 9.8 | P | predict |
CN | p | 1 | 25 | 173 | 0.4627909 | 46711.533 | 0:20:30.6 | +40:13:34 | 9.7 | 10.25 | 9.96 | V | predict |
CN | s | 1 | 25 | 173 | 0.4627909 | 52516.5514 | 0:20:30.6 | +40:13:34 | 9.7 | 10.25 | 9.96 | V | predict |
CO | p | 1 | 16 | 186 | 1.827664 | 54100.7342 | 1:11:24.9 | +46:57:50 | 11.1 | 12.1 | 11.1 | P | predict |
CO | s | 1 | 16 | 186 | 1.827664 | 26986.424 | 1:11:24.9 | +46:57:50 | 11.1 | 12.1 | 11.1 | P | predict |
CP | p | 7 | 3 | 52 | 3.608974 | 27718.544 | 2:12:51.3 | +45:37:52 | 11.4 | 12.9 | 11.45 | P | predict |
CU | p | 9 | 1 | 28 | 1.715987 | 29117.542 | 23:1:1.6 | +49:58:26 | 12.5 | 16 | 12.5 | P | predict |
CZ | p | 8 | 2 | 13 | 2.717148 | 31001.522 | 23:9:0.9 | +49:36:52 | 12.4 | 13 | 12.4 | P | predict |
DK | p | 1 | 10 | 35 | 0.489223 | 33925.662 | 23:28:45.86 | +50:34:29.2 | 12.5 | 13.1 | 12.5 | P | predict |
DK | s | 1 | 10 | 35 | 0.489223 | 33925.417 | 23:28:45.86 | +50:34:29.2 | 12.5 | 13.1 | 12.5 | P | predict |
DO | p | 7 | 3 | 84 | 1.34871 | 55480.3515 | 0:10:57.2 | +42:6:40 | 12.2 | 13.1 | 12.2 | P | predict |
DO | s | 7 | 3 | 84 | 1.34871 | 52860.48445 | 0:10:57.2 | +42:6:40 | 12.2 | 13.1 | 12.2 | P | predict |
DS | p | 1 | 12 | 110 | 1.010519 | 53023.1223 | 1:57:46.1 | +38:4:29 | 10.4 | 10.9 | 10.7 | V | predict |
DS | s | 1 | 12 | 110 | 1.010519 | 51547.258 | 1:57:46.1 | +38:4:29 | 10.4 | 10.9 | 10.7 | V | predict |
DW | p | 8 | 2 | 4 | 0.6287235 | 55093.3222 | 23:14:27.7 | +42:1:15 | 13.6 | 14.4 | 13.6 | P | predict |
DW | s | 8 | 2 | 4 | 0.6287235 | 55093.6366 | 23:14:27.7 | +42:1:15 | 13.6 | 14.4 | 13.6 | P | predict |
EL | p | 9 | 1 | 4 | 5.24273 | 51473.615 | 1:26:28 | +44:56:13 | 13.28 | 13.7 | 13.28 | c | predict |
EP | p | 1 | 65 | 441 | 0.40411 | 54802.6338 | 1:42:29.4 | +44:45:43 | 11.9 | 12.5 | 12.5 | P | predict |
EP | s | 1 | 65 | 441 | 0.40411 | 55042.4743 | 1:42:29.4 | +44:45:43 | 11.9 | 12.5 | 12.5 | P | predict |
EX | p | 8 | 2 | 70 | 1.632506 | 55386.524 | 23:39:51.9 | +47:45:2 | 12.7 | 14.1 | 13 | P | predict |
EX | s | 8 | 2 | 70 | 1.632506 | 54360.4979 | 23:39:51.9 | +47:45:2 | 12.7 | 14.1 | 13 | P | predict |
FK | p | 10 | 0 | 5 | 2.269408 | 53381.3059 | 1:7:3.2 | +37:29:5 | 14 | 16.8 | 14 | P | predict |
FL | p | 7 | 3 | 10 | 0.905648 | 38238.465 | 1:8:1.4 | +36:53:22 | 14.3 | 15.1 | 14.3 | P | predict |
FL | s | 7 | 3 | 10 | 0.905648 | 38238.918 | 1:8:1.4 | +36:53:22 | 14.3 | 15.1 | 14.3 | P | predict |
FY | p | 10 | 0 | 5 | 1.374416 | 47469.461 | 23:23:28.65 | +50:15:57.9 | 15 | 16.5 | 15 | P | predict |
GH | p | 10 | 0 | 18 | 1.103767 | 51337.662 | 23:37:40.4 | +50:14:34 | 13.5 | 14.5 | 13.5 | P | predict |
GK | p | 4 | 6 | 53 | 2.009328 | 55501.7107 | 23:53:47.2 | +45:34:45 | 11.3 | 12.4 | 11.5 | P | predict |
GW | p | 9 | 1 | 3 | 2.27928 | 41278.329 | 0:35:9.4 | +41:40:3 | 14.6 | 17.4 | 14.6 | B | predict |
GZ | p | 1 | 27 | 256 | 0.3050177 | 55038.4709 | 2:12:13.73 | +44:39:23.6 | 10.83 | 11.61 | 11.58 | V | predict |
GZ | s | 1 | 27 | 256 | 0.3050177 | 54844.32666 | 2:12:13.73 | +44:39:23.6 | 10.83 | 11.61 | 11.58 | V | predict |
HR | p | 8 | 2 | 3 | 1.2357 | 40812.46 | 0:33:46.68 | +44:4:9.8 | 14.7 | 15.4 | 14.7 | P | predict |
HS | p | 7 | 3 | 46 | 1.85719 | 46321.634 | 0:34:33.8 | +41:20:5 | 12.7 | 14.1 | 12.7 | P | predict |
HU | p | 10 | 0 | 5 | 0.2857905 | 37261.355 | 0:39:29.69 | +40:4:59.8 | 16.5 | 17.2 | 17.2 | B | predict |
HU | s | 10 | 0 | 5 | 0.2857905 | 53386.6583 | 0:39:29.69 | +40:4:59.8 | 16.5 | 17.2 | 17.2 | B | predict |
IL | p | 10 | 0 | 2 | 0.86759 | 53694.667 | 0:46:13.52 | +39:46:8.3 | 15.7 | 17 | 15.7 | P | predict |
IM | p | 9 | 1 | 3 | 0.2703735 | 38327.585 | 0:46:46.8 | +39:38:33 | 18.3 | 19 | 18.8 | P | predict |
IM | s | 9 | 1 | 3 | 0.2703735 | 38327.45 | 0:46:46.8 | +39:38:33 | 18.3 | 19 | 18.8 | P | predict |
IP | p | 9 | 1 | 2 | 3.07996 | 55100.795 | 0:55:3.43 | +40:37:1.3 | 16.8 | 17.3 | 16.8 | P | predict |
KN | p | 7 | 3 | 73 | 2.262183 | 48233.519 | 2:36:8.8 | +38:9:22 | 12.1 | 12.9 | 12.1 | P | predict |
KP | p | 2 | 8 | 10 | 1.405395 | 55082.4143 | 23:9:56.45 | +41:35:3.5 | 12.43 | 12.9 | 12.43 | c | predict |
KP | s | 2 | 8 | 10 | 1.405395 | 55084.52441 | 23:9:56.45 | +41:35:3.5 | 12.43 | 12.9 | 12.43 | c | predict |
LM | p | 3 | 7 | 19 | 0.761178 | 43837.475 | 2:11:9.2 | +48:51:35 | 12.2 | 13.5 | 12.7 | P | predict |
LO | p | 1 | 32 | 283 | 0.380437 | 44081.608 | 23:27:6.7 | +45:33:22 | 11.2 | 11.82 | 11.82 | V | predict |
LO | s | 1 | 32 | 283 | 0.380437 | 56187.3034 | 23:27:6.7 | +45:33:22 | 11.2 | 11.82 | 11.82 | V | predict |
LW | p | 9 | 1 | 1 | 0.472811 | 55488.703 | 2:19:38 | +38:27:26.6 | 15.5 | 16.4 | 15.5 | P | predict |
LY | p | 4 | 6 | 76 | 0.345031 | 45673.535 | 2:21:52.5 | +38:37:42 | 13.8 | 14.65 | 13.8 | c | predict |
LY | s | 4 | 6 | 76 | 0.345031 | 45673.708 | 2:21:52.5 | +38:37:42 | 13.8 | 14.65 | 13.8 | c | predict |
MN | p | 10 | 0 | 2 | 0.61065 | 53765.611 | 2:22:51.14 | +41:55:35.1 | 15.1 | 16.2 | 15.1 | P | predict |
MO | p | 5 | 5 | 14 | 1.93046 | 55543.6483 | 2:23:53.6 | +39:59:4 | 13.2 | 16.2 | 13.2 | P | predict |
MS | p | 10 | 0 | 2 | 0.7779 | 53706.849 | 2:25:46.86 | +39:58:45.5 | 15.8 | 16.2 | 15.8 | P | predict |
MT | p | 8 | 2 | 3 | 0.358775 | 55892.89 | 2:27:4.78 | +40:3:28.5 | 14.8 | 15.3 | 14.8 | P | predict |
MT | s | 8 | 2 | 3 | 0.358775 | 55893.068 | 2:27:4.78 | +40:3:28.5 | 14.8 | 15.3 | 14.8 | P | predict |
MW | p | 9 | 1 | 3 | 0.26377 | 51523.637 | 2:31:29 | +39:41:19.9 | 13.95 | 14.9 | 13.95 | c | predict |
NZ | p | 7 | 3 | 20 | 0.899668 | 45336.178 | 1:23:44.77 | +36:30:7.2 | 14.9 | 16.3 | 14.9 | P | predict |
OT | p | 10 | 0 | 7 | 20.8529 | 51425.4354 | 23:20:1.19 | +41:45:17.4 | 7.32 | 7.72 | 7.32 | V | predict |
OT | s | 10 | 0 | 7 | 20.8529 | 51853.3856 | 23:20:1.19 | +41:45:17.4 | 7.32 | 7.72 | 7.32 | V | predict |
PP | p | 10 | 0 | 13 | 2.71649 | 53765.614 | 2:10:42.52 | +38:18:31.5 | 14.3 | 16.6 | 14.3 | P | predict |
QR | p | 7 | 3 | 10 | 0.660465 | 48887.509 | 0:19:49.9 | +21:56:52 | 12.16 | 12.69 | 12.16 | V | predict |
QS | p | 9 | 1 | 2 | 0.276678 | 55486.772 | 0:21:40.56 | +28:9:27.6 | 16.67 | 17.09 | 16.67 | V | predict |
QW | p | 5 | 5 | 15 | 0.49187 | 55469.9016 | 1:18:48.28 | +49:39:36.8 | 12.6 | 13 | 12.6 | V | predict |
QW | s | 5 | 5 | 15 | 0.49187 | 50053.671 | 1:18:48.28 | +49:39:36.8 | 12.6 | 13 | 12.6 | V | predict |
QX | p | 1 | 9 | 38 | 0.412173 | 46795.75 | 1:57:57.21 | +37:48:26.5 | 11.25 | 11.57 | 11.25 | V | predict |
QX | s | 1 | 9 | 38 | 0.412173 | 54406.31845 | 1:57:57.21 | +37:48:26.5 | 11.25 | 11.57 | 11.25 | V | predict |
V 348 | p | 10 | 0 | 1 | 5.5392 | 48504.07 | 0:15:17.83 | +44:12:12.2 | 6.75 | 6.9 | 6.75 | c | predict |
V 363 | p | 8 | 2 | 7 | 1.277973 | 48500.398 | 1:31:46.57 | +36:5:38 | 9.099 | 9.351 | 9.099 | c | predict |
V 363 | s | 8 | 2 | 7 | 1.277973 | 48501.037 | 1:31:46.57 | +36:5:38 | 9.099 | 9.351 | 9.099 | c | predict |
V 372 | p | 3 | 7 | 9 | 2.941011 | 55877.48043 | 2:5:18.18 | +45:5:34.1 | 9.048 | 9.532 | 9.048 | V | predict |
V 372 | s | 3 | 7 | 9 | 2.941011 | 55561.32461 | 2:5:18.18 | +45:5:34.1 | 9.048 | 9.532 | 9.048 | V | predict |
V 376 | p | 1 | 9 | 25 | 0.798672 | 48500.742 | 2:35:11.59 | +49:51:37.3 | 7.683 | 8.002 | 7.683 | V | predict |
V 376 | s | 1 | 9 | 25 | 0.798672 | 53304.3583 | 2:35:11.59 | +49:51:37.3 | 7.683 | 8.002 | 7.683 | V | predict |
V 382 | p | 8 | 2 | 4 | 1.479 | 48501.1049 | 23:9:57.97 | +42:50:9.3 | 9.176 | 9.409 | 9.176 | V | predict |
V 392 | p | 8 | 2 | 3 | 4.046275 | 48035.107 | 23:38:48.73 | +44:24:45.3 | 9.07 | 9.41 | 9.07 | V | predict |
V 395 | p | 9 | 1 | 2 | 0.6847 | 48699.9945 | 23:44:32.1 | +46:22:49 | 7.55 | 7.62 | 7.6 | V | predict |
V 395 | s | 9 | 1 | 2 | 0.6847 | 48700.337 | 23:44:32.1 | +46:22:49 | 7.55 | 7.62 | 7.6 | V | predict |
V 404 | p | 1 | 13 | 26 | 0.676034 | 50784.5434 | 1:1:24 | +41:15:1 | 10.8 | 11.4 | 11.3 | V | predict |
V 404 | s | 1 | 13 | 26 | 0.676034 | 50784.883 | 1:1:24 | +41:15:1 | 10.8 | 11.4 | 11.3 | V | predict |
V 406 | p | 9 | 1 | 10 | 2.165016 | 48430.0254 | 2:35:25.6 | +45:56:3.2 | 9.2 | 9.4 | 9.39 | V | predict |
V 406 | s | 9 | 1 | 10 | 2.165016 | 50795.313 | 2:35:25.6 | +45:56:3.2 | 9.2 | 9.4 | 9.39 | V | predict |
V 411 | p | 10 | 0 | 1 | 0.8114528 | 30253.333 | 23:40:28.26 | +50:33:0.4 | 15 | 16.1 | 15 | P | predict |
V 412 | p | 4 | 6 | 14 | 1.908735 | 54769.7531 | 23:53:38.58 | +45:37:21.2 | 11.7 | 12.15 | 11.7 | R | predict |
V 412 | s | 4 | 6 | 14 | 1.908735 | 54423.3193 | 23:53:38.58 | +45:37:21.2 | 11.7 | 12.15 | 11.7 | R | predict |
V 413 | p | 10 | 0 | 1 | 50.119 | 50833.754 | 23:54:4.04 | +39:16:57 | 7.61 | 8.46 | 7.61 | U | predict |
V 422 | p | 4 | 6 | 34 | 1.015595 | 55398.4857 | 23:7:57.14 | +50:11:43.9 | 13.4 | 14 | 13.4 | P | predict |
V 422 | s | 4 | 6 | 34 | 1.015595 | 29161.088 | 23:7:57.14 | +50:11:43.9 | 13.4 | 14 | 13.4 | P | predict |
V 425 | p | 6 | 4 | 24 | 1.42073 | 48177.517 | 23:27:37.3 | +50:17:16 | 13.3 | 14.6 | 13.3 | P | predict |
V 440 | p | 6 | 4 | 24 | 1.582575 | 52900.1019 | 0:26:49.4 | +41:49:9 | 12.64 | 13.24 | 12.64 | c | predict |
V 440 | s | 6 | 4 | 24 | 1.582575 | 55154.4819 | 0:26:49.4 | +41:49:9 | 12.64 | 13.24 | 12.64 | c | predict |
V 441 | p | 4 | 6 | 11 | 0.469656 | 54768.7252 | 0:56:44.22 | +41:29:23 | 13.48 | 14.25 | 14.2 | c | predict |
V 441 | s | 4 | 6 | 11 | 0.469656 | 52931.195 | 0:56:44.22 | +41:29:23 | 13.48 | 14.25 | 14.2 | c | predict |
V 444 | p | 7 | 3 | 12 | 0.46878 | 52914.2861 | 1:15:28.73 | +41:19:59 | 13.04 | 13.74 | 13.7 | c | predict |
V 444 | s | 7 | 3 | 12 | 0.46878 | 52914.5205 | 1:15:28.73 | +41:19:59 | 13.04 | 13.74 | 13.7 | c | predict |
V 449 | p | 1 | 9 | 12 | 0.338516 | 51370.881 | 2:9:46.9 | +46:43:17 | 12.2 | 12.9 | 12.2 | V | predict |
V 449 | s | 1 | 9 | 12 | 0.338516 | 51371.05 | 2:9:46.9 | +46:43:17 | 12.2 | 12.9 | 12.2 | V | predict |
V 452 | p | 6 | 4 | 5 | 0.978438 | 55071.5098 | 23:18:59.22 | +48:31:30.8 | 13.8 | 15.14 | 13.8 | c | predict |
V 452 | s | 6 | 4 | 5 | 0.978438 | 55873.3397 | 23:18:59.22 | +48:31:30.8 | 13.8 | 15.14 | 13.8 | c | predict |
V 458 | p | 10 | 0 | 1 | 2.2904 | 51515.897 | 1:44:2.2 | +48:2:44 | 12.2 | 12.32 | 12.2 | c | predict |
V 462 | p | 10 | 0 | 1 | 4.279 | 51483.638 | 23:19:27.4 | +45:54:25 | 12.25 | 12.81 | 12.78 | c | predict |
V 463 | p | 1 | 9 | 10 | 0.406091 | 51446.874 | 23:20:13.8 | +37:8:39 | 12.15 | 13.05 | 12.5 | c | predict |
V 463 | s | 1 | 9 | 10 | 0.406091 | 51447.077 | 23:20:13.8 | +37:8:39 | 12.15 | 13.05 | 12.5 | c | predict |
V 467 | p | 10 | 0 | 4 | 0.215 | 54342.5072 | 0:0:6.5 | +35:22:0 | 15.43 | 15.73 | 15.43 | V | predict |
V 468 | p | 10 | 0 | 1 | 6.3924 | 51511.61704 | 0:9:46.52 | +40:11:34.8 | 10.9 | 11.6 | 10.9 | c | predict |
V 469 | p | 10 | 0 | 1 | 0.3281 | 52859.5092 | 0:11:22.1 | +42:5:39 | 15.1 | 15.9 | 15.1 | V | predict |
V 472 | p | 10 | 0 | 1 | 0.85056 | 51384.362 | 0:15:50.06 | +41:28:3.1 | 13.25 | 13.6 | 13.5 | c | predict |
V 473 | p | 2 | 8 | 9 | 0.4013 | 51442.752 | 0:16:5.37 | +41:51:24.2 | 13.8 | 14.3 | 14.15 | c | predict |
V 473 | s | 2 | 8 | 9 | 0.4013 | 55878.526 | 0:16:5.37 | +41:51:24.2 | 13.8 | 14.3 | 14.15 | c | predict |
V 474 | p | 10 | 0 | 1 | 0.52042 | 51359.654 | 0:16:50.06 | +43:44:56 | 13.5 | 13.85 | 13.8 | c | predict |
V 477 | p | 10 | 0 | 1 | 0.36255 | 51448.945 | 0:18:31.35 | +30:25:57.7 | 13.65 | 13.95 | 13.95 | c | predict |
V 480 | p | 9 | 1 | 2 | 0.510024 | 55836.3021 | 0:19:12.73 | +33:1:11.5 | 12.75 | 13.05 | 13 | c | predict |
V 482 | p | 10 | 0 | 1 | 11.284 | 51475.7 | 0:20:34.6 | +40:25:6 | 11.25 | 11.45 | 11.25 | c | predict |
V 483 | p | 1 | 9 | 10 | 0.297066 | 51497.684 | 0:20:35.27 | +40:4:16.8 | 11.97 | 12.2 | 12.2 | R | predict |
V 483 | s | 1 | 9 | 10 | 0.297066 | 51497.833 | 0:20:35.27 | +40:4:16.8 | 11.97 | 12.2 | 12.2 | R | predict |
V 484 | p | 10 | 0 | 1 | 0.349 | 51492.02 | 0:21:5.4 | +32:29:17 | 13 | 13.28 | 13.28 | c | predict |
V 485 | p | 10 | 0 | 1 | 1.03257 | 51505.709 | 0:21:19.18 | +35:24:15.4 | 11.08 | 11.23 | 11.22 | R | predict |
V 487 | p | 9 | 1 | 2 | 1.040695 | 55830.5409 | 0:21:27 | +30:13:23 | 11.6 | 11.76 | 11.74 | c | predict |
V 488 | p | 10 | 0 | 1 | 0.68216 | 51512.492 | 0:22:6.02 | +40:31:24.2 | 12.55 | 12.9 | 12.65 | R | predict |
V 489 | p | 8 | 2 | 6 | 0.422756 | 55511.7327 | 0:24:39.15 | +24:55:22.4 | 12 | 13 | 12 | 0 | predict |
V 489 | s | 8 | 2 | 6 | 0.422756 | 54274.111 | 0:24:39.15 | +24:55:22.4 | 12 | 13 | 12 | 0 | predict |
V 490 | p | 7 | 3 | 6 | 0.424183 | 54760.35611 | 0:26:48.7 | +41:50:4 | 14.6 | 15.1 | 14.6 | V | predict |
V 490 | s | 7 | 3 | 6 | 0.424183 | 54760.56861 | 0:26:48.7 | +41:50:4 | 14.6 | 15.1 | 14.6 | V | predict |
V 496 | p | 9 | 1 | 8 | 4.40262 | 53675.402 | 0:39:33.03 | +27:30:29.3 | 13 | 15.4 | 13 | p | predict |
V 497 | p | 10 | 0 | 1 | 0.3051 | 51469.814 | 0:39:55.9 | +34:14:52.6 | 14.7 | 15.5 | 15.3 | R | predict |
V 502 | p | 6 | 4 | 5 | 0.318889 | 51453.702 | 0:43:38.29 | +30:12:44.9 | 13.8 | 14.2 | 14.15 | R | predict |
V 502 | s | 6 | 4 | 5 | 0.318889 | 56256.6562 | 0:43:38.29 | +30:12:44.9 | 13.8 | 14.2 | 14.15 | R | predict |
V 504 | p | 10 | 0 | 1 | 0.648 | 51486.803 | 0:45:0.36 | +38:43:56 | 13.4 | 13.7 | 13.6 | R | predict |
V 505 | p | 10 | 0 | 1 | 0.394145 | 51484.539 | 0:45:38.63 | +37:28:29.1 | 13.8 | 14.6 | 14.6 | R | predict |
V 506 | p | 9 | 1 | 2 | 0.34345 | 51461.523 | 0:46:37.74 | +31:51:17.4 | 13.6 | 14.4 | 14.2 | R | predict |
V 508 | p | 10 | 0 | 1 | 0.7752 | 51464.04 | 0:47:44.15 | +36:2:23.2 | 12.15 | 12.45 | 12.4 | R | predict |
V 510 | p | 10 | 0 | 1 | 1.587 | 51479.957 | 0:49:23.12 | +32:0:36.6 | 13.9 | 14.5 | 14.35 | R | predict |
V 512 | p | 10 | 0 | 1 | 0.74532 | 51462.627 | 0:52:17.31 | +35:16:4.2 | 11.8 | 12.5 | 11.95 | R | predict |
V 512 | s | 10 | 0 | 1 | 0.74532 | 51463 | 0:52:17.31 | +35:16:4.2 | 11.8 | 12.5 | 11.95 | R | predict |
V 513 | p | 10 | 0 | 1 | 3.76 | 51489.8 | 0:54:17.81 | +39:45:10.3 | 12.8 | 13.2 | 12.9 | R | predict |
V 514 | p | 10 | 0 | 1 | 0.36693 | 51463.792 | 0:54:53.2 | +35:28:3.1 | 13.9 | 14.3 | 14.15 | R | predict |
V 517 | p | 10 | 0 | 1 | 0.49053 | 51463.954 | 0:56:11.68 | +35:49:10 | 13.3 | 13.6 | 13.6 | R | predict |
V 518 | p | 10 | 0 | 1 | 0.36115 | 51489.881 | 0:57:28.89 | +40:1:43.6 | 13.5 | 13.9 | 13.85 | R | predict |
V 522 | p | 10 | 0 | 1 | 7.553 | 53598.128 | 1:3:28.9 | +43:1:27.6 | 13.34 | 13.94 | 13.34 | c | predict |
V 523 | p | 10 | 0 | 1 | 0.52854 | 51478.765 | 1:5:37.98 | +36:49:5.9 | 11.9 | 12.4 | 12.35 | R | predict |
V 525 | p | 10 | 0 | 1 | 1.429 | 51480.56 | 1:16:48.08 | +34:18:10.4 | 11.2 | 11.55 | 11.5 | R | predict |
V 526 | p | 10 | 0 | 1 | 0.48558 | 51478.609 | 1:21:23.26 | +35:50:12.3 | 14.3 | 15.1 | 14.6 | R | predict |
V 527 | p | 10 | 0 | 1 | 0.70065 | 51478.856 | 1:22:35.69 | +34:19:35.9 | 10.65 | 11.05 | 11.5 | R | predict |
V 530 | p | 10 | 0 | 1 | 0.57723 | 51479.632 | 1:27:41.05 | +33:51:55.5 | 12.6 | 13.3 | 13 | R | predict |
V 531 | p | 10 | 0 | 1 | 0.40633 | 51484.437 | 1:30:15.91 | +33:39:18.5 | 11.4 | 11.6 | 11.55 | R | predict |
V 532 | p | 10 | 0 | 1 | 0.39902 | 51462.747 | 1:30:25.28 | +39:18:29.6 | 13.5 | 13.8 | 13.75 | R | predict |
V 533 | p | 10 | 0 | 1 | 0.6032 | 51464.606 | 1:31:30.48 | +38:9:51.8 | 13.8 | 14.4 | 14.05 | R | predict |
V 534 | p | 10 | 0 | 1 | 0.4073 | 51481.515 | 1:31:30.52 | +34:55:52 | 14.2 | 14.6 | 14.6 | R | predict |
V 536 | p | 10 | 0 | 1 | 0.6415 | 51467.724 | 1:34:28.59 | +39:50:25.7 | 14.2 | 14.6 | 14.6 | R | predict |
V 537 | p | 10 | 0 | 1 | 0.90075 | 51476.783 | 1:35:19.25 | +37:46:37.7 | 11.4 | 11.75 | 11.65 | R | predict |
V 538 | p | 10 | 0 | 1 | 0.51875 | 51468.934 | 1:36:14.68 | +38:4:34.3 | 13.9 | 14.3 | 14.2 | R | predict |
V 541 | p | 10 | 0 | 2 | 3.9761 | 51415.866 | 1:37:36.1 | +38:3:57 | 12.58 | 13.47 | 12.7 | R | predict |
V 543 | p | 10 | 0 | 1 | 0.9264 | 51475.665 | 1:42:25.32 | +37:55:24.8 | 11 | 11.8 | 11.15 | R | predict |
V 546 | p | 5 | 5 | 6 | 0.383021 | 51475.623 | 1:51:12.58 | +43:49:7.6 | 11.2 | 11.8 | 11.2 | c | predict |
V 546 | s | 5 | 5 | 6 | 0.383021 | 55456.5558 | 1:51:12.58 | +43:49:7.6 | 11.2 | 11.8 | 11.2 | c | predict |
V 547 | p | 10 | 0 | 1 | 1.953 | 51574.628 | 1:52:3 | +37:48:9 | 11.38 | 11.76 | 11.38 | c | predict |
V 549 | p | 10 | 0 | 1 | 0.31596 | 51493.621 | 1:55:18.33 | +40:55:33.1 | 14 | 14.5 | 14.4 | R | predict |
V 552 | p | 4 | 6 | 6 | 0.28133 | 54712.3808 | 1:57:39.91 | +43:55:3.7 | 16.89 | 17.55 | 17.36 | c | predict |
V 553 | p | 6 | 4 | 4 | 0.30903 | 54776.5584 | 1:57:51.11 | +44:2:14.7 | 17.12 | 17.68 | 17.52 | c | predict |
V 554 | p | 5 | 5 | 5 | 0.35291 | 54773.307 | 1:57:57.2 | +44:27:50.9 | 16.32 | 16.78 | 16.72 | c | predict |
V 555 | p | 7 | 3 | 3 | 0.71681 | 54713.3508 | 1:58:18.23 | +43:59:27 | 14.35 | 14.81 | 14.57 | c | predict |
V 556 | p | 1 | 9 | 9 | 0.43141 | 54775.5306 | 1:58:47.77 | +44:33:4.8 | 14.55 | 14.8 | 14.7 | c | predict |
V 557 | p | 10 | 0 | 1 | 0.34744 | 51507.78 | 1:59:10.8 | +38:12:32.7 | 14.2 | 15 | 14.8 | R | predict |
V 558 | p | 1 | 9 | 9 | 0.31092 | 54711.385 | 1:59:17.89 | +44:7:57.8 | 15.62 | 16.1 | 15.99 | c | predict |
V 559 | p | 7 | 3 | 3 | 0.34708 | 54712.2955 | 2:0:24.69 | +44:22:56.5 | 16.05 | 16.2 | 16.17 | c | predict |
V 560 | p | 8 | 2 | 2 | 0.88508 | 54713.4729 | 2:1:29.99 | +44:29:14.9 | 13.91 | 14.26 | 14.23 | c | predict |
V 561 | p | 4 | 6 | 6 | 0.33479 | 54713.3474 | 2:2:3.61 | +43:54:35.2 | 16.03 | 16.42 | 16.38 | c | predict |
V 563 | p | 8 | 2 | 3 | 0.303201 | 51478.76 | 2:2:40.08 | +36:42:40.9 | 13.7 | 14.2 | 14 | R | predict |
V 563 | s | 8 | 2 | 3 | 0.303201 | 51478.9129 | 2:2:40.08 | +36:42:40.9 | 13.7 | 14.2 | 14 | R | predict |
V 564 | p | 4 | 6 | 6 | 0.39177 | 54774.3713 | 2:3:8.4 | +44:10:23.4 | 13.98 | 14.07 | 14.06 | c | predict |
V 565 | p | 8 | 2 | 2 | 0.32978 | 54775.587 | 2:3:27.78 | +44:14:51 | 12.17 | 12.3 | 12.25 | c | predict |
V 566 | p | 8 | 2 | 4 | 0.389708 | 51478.78 | 2:7:20.03 | +35:38:55.4 | 10.85 | 11.3 | 11.25 | R | predict |
V 566 | s | 8 | 2 | 4 | 0.389708 | 51478.97485 | 2:7:20.03 | +35:38:55.4 | 10.85 | 11.3 | 11.25 | R | predict |
V 567 | p | 10 | 0 | 1 | 3.0155 | 51510.265 | 2:7:59.52 | +40:17:56.2 | 11.7 | 12.3 | 11.7 | R | predict |
V 568 | p | 9 | 1 | 2 | 0.394287 | 56279.6244 | 2:13:5.43 | +40:49:31.2 | 13.9 | 14.5 | 14.4 | R | predict |
V 571 | p | 9 | 1 | 2 | 0.357641 | 56214.8637 | 2:19:13.83 | +37:54:5.2 | 13.7 | 14.2 | 14.1 | R | predict |
V 575 | p | 10 | 0 | 1 | 0.678 | 51504.76 | 2:28:44.32 | +37:28:59.3 | 12 | 12.4 | 12.35 | R | predict |
V 579 | p | 10 | 0 | 1 | 0.338134 | 51448.643 | 22:59:11.09 | +36:21:17.8 | 12.5 | 12.8 | 12.8 | R | predict |
V 593 | p | 10 | 0 | 1 | 0.37216 | 51450.75 | 23:3:44.07 | +36:15:22.9 | 12.8 | 13.1 | 13.05 | R | predict |
V 600 | p | 7 | 3 | 4 | 0.396792 | 51400.783 | 23:6:36.25 | +47:15:30.9 | 12.64 | 12.64 | 12.64 | p | predict |
V 600 | s | 7 | 3 | 4 | 0.396792 | 51400.981 | 23:6:36.25 | +47:15:30.9 | 12.3 | 12.76 | 12.3 | c | predict |
V 601 | p | 9 | 1 | 1 | 1.2121 | 55441.352 | 23:6:38.12 | +49:23:27.5 | 11.73 | 12.2 | 11.73 | c | predict |
V 613 | p | 7 | 3 | 28 | 0.937905 | 48164.6528 | 23:10:12.46 | +47:34:14.9 | 8.79 | 10 | 8.9 | V | predict |
V 625 | p | 10 | 0 | 1 | 0.24958 | 51447.9 | 23:15:40.32 | +36:8:52.9 | 14.2 | 14.8 | 14.7 | R | predict |
V 629 | p | 8 | 2 | 2 | 0.7426 | 55820.389 | 23:16:52.99 | +44:29:18.3 | 11.2 | 11.66 | 11.2 | c | predict |
V 629 | s | 8 | 2 | 2 | 0.7426 | 55794.767 | 23:16:52.99 | +44:29:18.3 | 11.2 | 11.66 | 11.2 | c | predict |
V 634 | p | 10 | 0 | 1 | 0.5774 | 51453.946 | 23:19:22.34 | +36:49:9.3 | 14.4 | 15.4 | 14.9 | R | predict |
V 641 | p | 10 | 0 | 1 | 0.69491 | 51449.741 | 23:21:23.99 | +40:21:58.9 | 13.4 | 13.85 | 13.55 | R | predict |
V 645 | p | 8 | 2 | 3 | 0.41256 | 51483.589 | 23:23:0.68 | +49:14:33.8 | 13.05 | 13.45 | 13.05 | c | predict |
V 645 | s | 8 | 2 | 3 | 0.41256 | 55881.7072 | 23:23:0.68 | +49:14:33.8 | 13.05 | 13.45 | 13.05 | c | predict |
V 648 | p | 10 | 0 | 1 | 0.5321 | 51455.876 | 23:23:51.91 | +39:32:33.7 | 13.45 | 14.1 | 13.7 | R | predict |
V 664 | p | 10 | 0 | 1 | 0.4211 | 51425.644 | 23:28:59.5 | +35:24:43.6 | 12.58 | 12.85 | 12.83 | c | predict |
V 667 | p | 7 | 3 | 4 | 0.6945 | 51443.74 | 23:29:43.28 | +48:36:56.6 | 12.9 | 13.3 | 12.9 | c | predict |
V 673 | p | 10 | 0 | 1 | 1.629275 | 53258.41761 | 23:31:3 | +35:55:46 | 11.14 | 11.4 | 11.14 | c | predict |
V 676 | p | 10 | 0 | 1 | 0.364527 | 53255.33974 | 23:34:16 | +36:39:57 | 12.86 | 13.26 | 12.86 | c | predict |
V 678 | p | 8 | 2 | 2 | 0.36169 | 55506.7059 | 23:35:12.28 | +44:39:33.5 | 13.72 | 14.14 | 13.72 | c | predict |
V 683 | p | 8 | 2 | 3 | 1.557415 | 51573.628 | 23:36:27.78 | +44:7:24.2 | 10.43 | 10.9 | 10.43 | c | predict |
V 683 | s | 8 | 2 | 3 | 1.557415 | 56232.6355 | 23:36:27.78 | +44:7:24.2 | 10.43 | 10.9 | 10.43 | c | predict |
V 687 | p | 10 | 0 | 1 | 0.395043 | 53254.41448 | 23:38:27 | +36:34:50 | 11.68 | 11.83 | 11.68 | | predict |
V 692 | p | 6 | 4 | 5 | 0.338021 | 51453.635 | 23:39:12.4 | +45:27:51.6 | 12.5 | 12.5 | 12.5 | p | predict |
V 692 | s | 6 | 4 | 5 | 0.338021 | 51453.804 | 23:39:12.4 | +45:27:51.6 | 12.5 | 12.5 | 12.5 | p | predict |
V 696 | p | 10 | 0 | 1 | 0.798466 | 53254.47153 | 23:41:14 | +35:24:38 | 12.85 | 13.26 | 12.85 | | predict |
V 702 | p | 10 | 0 | 1 | 0.340714 | 53256.5204 | 23:43:50 | +35:49:20 | 13.3 | 13.69 | 13.3 | | predict |
V 705 | p | 10 | 0 | 1 | 0.354665 | 53255.35023 | 23:45:21 | +34:8:21 | 11.12 | 11.4 | 11.12 | | predict |
V 706 | p | 10 | 0 | 2 | 1.429164 | 53592.491 | 23:48:19 | +34:48:33 | 11.43 | 12.8 | 11.43 | c | predict |
V 707 | p | 10 | 0 | 5 | 2.5885 | 53703.29485 | 23:48:23 | +36:18:39 | 9.93 | 10.42 | 9.93 | c | predict |
V 707 | s | 10 | 0 | 5 | 2.5885 | 53261.955 | 23:48:23 | +36:18:39 | 9.93 | 10.42 | 9.93 | c | predict |
V 710 | p | 10 | 0 | 1 | 0.219197 | 53258.7804 | 23:51:19 | +33:33:51 | 14.01 | 14.37 | 14.01 | | predict |
V 712 | p | 10 | 0 | 1 | 0.367193 | 53256.09208 | 23:54:39 | +36:45:16 | 10.03 | 10.24 | 10.03 | c | predict |
V 713 | p | 10 | 0 | 1 | 0.318456 | 53255.88208 | 23:55:8 | +33:22:28 | 12.01 | 12.13 | 12.01 | | predict |
V 714 | p | 10 | 0 | 1 | 2.498501 | 53258.36916 | 23:56:30 | +36:28:54 | 12 | 12.48 | 12 | c | predict |
G2837.1343 | p | 8 | 2 | 3 | 0.266628 | 53288.51197 | 2:0:9.13 | +43:2:42.5 | 11.9 | 12.35 | 12.3 | c | predict |
G2837.1343 | s | 8 | 2 | 3 | 0.266628 | 53288.64528 | 2:0:9.13 | +43:2:42.5 | 11.9 | 12.35 | 12.3 | c | predict |
G3272.0147 | p | 10 | 0 | 2 | 7.8686 | 52905.59 | 1:17:35.25 | +49:46:17 | 14.165 | 14.222 | 14.195 | B | predict |
G3272.0147 | s | 10 | 0 | 2 | 7.8686 | 52901.691 | 1:17:35.25 | +49:46:17 | 14.165 | 14.222 | 14.195 | B | predict |
G3285.1748 | p | 9 | 1 | 1 | 0.43823514 | 55515.348 | 2:12:2.49 | +47:23:28.2 | 12.58 | 13.26 | 12.58 | c | predict |
zet | p | 10 | 0 | 5 | 17.7693 | 45253.18 | 0:47:20.39 | +24:16:2.6 | 3.92 | 4.14 | 4.02 | V | predict |
zet | s | 10 | 0 | 5 | 17.7693 | 45262.047 | 0:47:20.39 | +24:16:2.6 | 3.92 | 4.14 | 4.02 | 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.
|