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 Pup			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
V	p	10	0	4	1.4544859	48500.595	7:58:14.44	-49:14:41.7	4.35	4.92	4.82	V	predict
V	s	10	0	4	1.4544859	45368.334	7:58:14.44	-49:14:41.7	4.35	4.92	4.82	V	predict
RR	p	9	1	2	6.42969	29115.58	7:46:53.88	-41:22:26.5	10.34	11.37	10.34	V	predict
SW	p	8	2	4	2.747421	53858.366	8:18:50.89	-42:45:11.4	9	10	9.1	V	predict
SW	s	8	2	4	2.747421	19283.442	8:18:50.89	-42:45:11.4	9	10	9.1	V	predict
SZ	p	9	1	1	1.1903	52637.715	8:9:29.93	-36:42:13.2	13	13.8	13	V	predict
TY	p	1	10	22	0.8192423	34412.106	7:32:46.23	-20:47:31.1	8.4	8.89	8.87	V	predict
TY	s	1	10	22	0.8192423	34412.516	7:32:46.23	-20:47:31.1	8.4	8.89	8.87	V	predict
UZ	p	1	21	115	0.794851	44613.6983	7:41:46.11	-13:23:37.8	9.35	10.34	10	V	predict
UZ	s	1	21	115	0.794851	44614.0957	7:41:46.11	-13:23:37.8	9.35	10.34	10	V	predict
VY	p	6	4	10	0.8167581	26990.434	7:33:50.07	-11:39:51	10.8	11.4	10.84	V	predict
XY	p	9	1	16	13.7782	53078.67	8:9:34.71	-11:59:8.5	9.2	11	9.3	V	predict
XZ	p	5	5	69	2.192382	38448.383	8:13:31.06	-23:57:11.4	7.75	10.26	7.9	V	predict
YY	p	10	0	6	27.95585	51949.65	7:35:52.28	-19:23:31.2	9.2	10.3	9.22	V	predict
ZZ	p	9	1	9	6.338179	53105.59	7:48:25.98	-19:17:34	9.43	11.05	9.43	V	predict
AA	p	9	1	2	7.06783	52976.82	8:1:36.13	-24:43:3.5	9.7	10.5	9.7	V	predict
AE	p	10	0	1	5.96544	26359.76	8:5:51.41	-42:30:37.7	13.2	14.3	13.2	P	predict
AF	p	10	0	1	0.3836778	26161.875	8:13:38.75	-43:7:46.4	13.3	13.5	13.5	P	predict
AG	p	10	0	3	4.779321	52249.77	7:43:13	-21:43:14.3	10.9	12.3	11.1	V	predict
AH	p	9	1	2	2.024694	25913.93	7:56:56.2	-25:19:38.9	11.5	12.4	11.55	V	predict
AN	p	10	0	3	2.668235	41753.375	7:30:5.85	-21:26:24	10.49	11.27	10.7	V	predict
AV	p	1	25	34	0.4350067	55630.7481	8:24:32.3	-16:24:11.3	10.5	11.1	11	V	predict
AV	s	1	25	34	0.4350067	31178.368	8:24:32.3	-16:24:11.3	10.5	11.1	11	V	predict
AY	p	6	4	116	0.4689593	40650.345	7:38:37.3	-24:29:18.4	11.6	12.5	12.5	P	predict
AY	s	6	4	116	0.4689593	52684.0775	7:38:37.3	-24:29:18.4	11.6	12.5	12.5	P	predict
AZ	p	8	2	3	0.8673623	53085.701	8:18:19.71	-34:55:50.2	9.5	10	9.9	V	predict
BP	p	10	0	2	5.43724	28063.947	7:30:13.25	-26:17:7.3	11.4	12.3	11.6	V	predict
BR	p	9	1	2	1.339585	26263.5471	7:40:56.85	-25:39:28.1	12.1	12.9	12.9	P	predict
BS	p	10	0	6	1.07588	51489.586	7:42:13.96	-21:15:10.6	11.3	12.3	11.3	P	predict
BT	p	10	0	2	0.796059	26161.4919	7:55:33.91	-24:25:6.8	13.9	14.6	14.5	P	predict
BT	s	10	0	2	0.796059	45644.647	7:55:33.91	-24:25:6.8	13.9	14.6	14.5	P	predict
BW	p	10	0	2	0.863035	26274.5349	7:52:11.06	-21:18:16.1	13.6	14.2	13.75	P	predict
CF	p	10	0	3	7.64967	51885.349	6:5:16.03	-49:7:27.8	9.4	12.6	9.4	P	predict
CS	p	10	0	8	2.65935	51504.587	7:34:34.97	-19:34:56.8	12.3	13.5	12.3	P	predict
CU	p	10	0	2	3.337438	28063.078	7:35:6.12	-24:26:11	11.4	12.3	11.4	P	predict
DE	p	10	0	36	0.973813	26241.568	7:48:41.16	-20:24:14.6	12.6	13.2	12.9	P	predict
DF	p	9	1	34	0.771456	51492.803	7:53:50.19	-19:40:40.2	12.7	14	12.8	P	predict
DI	p	10	0	7	1.706167	25758.194	7:56:40.59	-19:29:12.3	11.8	13	11.8	P	predict
DS	p	8	2	4	0.3886775	53000.8011	7:32:47.81	-24:58:45.5	12.7	13.6	13.4	P	predict
DS	s	8	2	4	0.3886775	51494.1	7:32:47.81	-24:58:45.5	12.7	13.6	13.4	P	predict
DT	p	10	0	2	3.343635	51502.47	7:33:51.31	-22:12:16.9	14.1	14.3	14.3	P	predict
EN	p	7	3	4	0.6721484	26305.551	7:42:44.11	-26:36:31.6	11.2	11.6	11.4	P	predict
EN	s	7	3	4	0.6721484	26305.887	7:42:44.11	-26:36:31.6	11.2	11.6	11.4	P	predict
EQ	p	9	1	10	1.143134	25653.366	7:48:24.12	-26:5:27	10.2	11	10.9	P	predict
EQ	s	9	1	10	1.143134	25653.938	7:48:24.12	-26:5:27	10.2	11	10.9	P	predict
FU	p	10	0	1	0.3334	51489.077	7:46:10.08	-16:6:2.6	12.1	2.9	12.1	P	predict
GK	p	10	0	24	3.079505	25302.398	7:41:44.02	-15:13:50.2	13.6	15.4	13.6	P	predict
GP	p	10	0	8	13.138606	25624.504	7:48:32.53	-15:11:16.1	13.2	14.3	13.5	P	predict
GS	p	10	0	10	2.07284	26654.61	7:51:57.4	-16:46:37.9	13.4	13.9	13.4	P	predict
GS	s	10	0	10	2.07284	26655.646	7:51:57.4	-16:46:37.9	13.4	13.9	13.4	P	predict
GU	p	10	0	19	1.652698	25326.359	7:28:41.06	-16:35:2.2	11.4	12.2	11.4	P	predict
GU	s	10	0	19	1.652698	25327.185	7:28:41.06	-16:35:2.2	11.4	12.2	11.4	P	predict
GV	p	9	1	11	0.9883915	51466.915	7:42:8.7	-13:0:12.4	12.9	13.7	12.9	P	predict
GV	s	9	1	11	0.9883915	32946.907	7:42:8.7	-13:0:12.4	12.9	13.7	12.9	P	predict
GY	p	5	5	8	0.412179	34386.642	7:16:40.03	-39:54:25.8	11.9	12.3	12.3	V	predict
GY	s	5	5	8	0.412179	34386.436	7:16:40.03	-39:54:25.8	11.9	12.3	12.3	V	predict
GZ	p	4	6	7	0.3202744	34398.437	7:17:27.06	-40:7:43.2	11.7	12.2	12.1	V	predict
GZ	s	4	6	7	0.3202744	34398.597	7:17:27.06	-40:7:43.2	11.7	12.2	12.1	V	predict
HI	p	10	0	9	0.4326187	48500.2799	7:33:38.21	-50:7:25	10.7	11	11	V	predict
HI	s	10	0	9	0.4326187	34344.76433	7:33:38.21	-50:7:25	10.7	11	11	V	predict
IT	p	10	0	2	1.336177	28611.331	8:13:2.95	-28:20:32.2	12.1	13.3	12.1	V	predict
IZ	p	10	0	6	4.08187	27132.34	8:24:4.5	-21:57:42.6	13.4	15.2	13.4	P	predict
KK	p	10	0	1	10.0404	51869.51	8:23:54.41	-28:36:35.8	11.68	12.31	11.68	V	predict
KV	p	9	1	9	3.667874	15793.516	7:47:19.14	-48:32:12.3	9.63	10.34	9.63	V	predict
KW	p	2	8	29	1.6039075	25590.613	7:49:20.32	-15:5:37	11.3	12	11.8	V	predict
KW	s	2	8	29	1.6039075	25591.415	7:49:20.32	-15:5:37	11.3	12	11.8	V	predict
KX	p	7	3	4	2.146777	41686.803	7:52:0.51	-26:22:39.8	12.77	13.13	13.04	V	predict
KY	p	9	1	2	0.8494585	53064.695	7:52:3.38	-26:45:18.6	11.2	11.8	11.7	V	predict
LO	p	10	0	3	1.204554	26305.549	7:55:26.3	-22:18:24.7	13.8	14.2	13.9	P	predict
LO	s	10	0	3	1.204554	51869.203	7:55:26.3	-22:18:24.7	13.8	14.2	13.9	P	predict
LT	p	10	0	2	1.642681	26362.429	7:59:42.38	-23:44:26.1	12.5	13	12.6	V	predict
LW	p	9	1	3	59.337	53116.52	8:5:26.03	-26:41:9.1	9.8	10.1	9.8	V	predict
LW	s	9	1	3	59.337	53146.2	8:5:26.03	-26:41:9.1	9.8	10.1	9.8	V	predict
MO	p	10	0	8	3.671778	51886.762	7:30:49.44	-12:2:52.3	11.87	12.63	11.87	V	predict
MO	s	10	0	8	3.671778	51888.59789	7:30:49.44	-12:2:52.3	11.87	12.63	11.87	V	predict
MP	p	7	3	6	0.99893	55580.2053	7:31:8.53	-13:14:26.1	10	10.5	10	P	predict
MQ	p	10	0	30	1.4685665	44234.5649	7:31:19.33	-38:0:7.1	9.03	10.55	9.39	V	predict
MQ	s	10	0	30	1.4685665	44235.29918	7:31:19.33	-38:0:7.1	9.03	10.55	9.39	V	predict
MV	p	10	0	3	2.59359	30346.56	7:54:22.12	-17:13:7	14	15	14	P	predict
NO	p	9	1	15	1.2568805	54100.25	8:26:17.73	-39:3:32.2	6.53	6.98	6.66	V	predict
NO	s	9	1	15	1.2568805	54100.97	8:26:17.73	-39:3:32.2	6.53	6.98	6.66	V	predict
OQ	p	10	0	1	13.07	51874.076	7:38:19.42	-46:2:40	10.5	11.5	10.5	P	predict
PS	p	10	0	1	1.3422	48500.568	7:31:42.7	-35:53:16.1	6.62	6.62	6.62	V	predict
PU	p	10	0	2	2.57897	43098.71	7:38:18.05	-25:21:53.3	4.69	4.75	4.74	V	predict
PU	s	10	0	2	2.57897	43100	7:38:18.05	-25:21:53.3	4.69	4.75	4.74	V	predict
PZ	p	9	1	1	1.085147	52987.532	8:1:57.92	-35:18:12.6	8.34	8.5	8.34	V	predict
QR	p	10	0	1	3.55172	52223.254	8:14:49.8	-42:2:21.5	8.01	8.13	8.01	V	predict
V 358	p	10	0	12	6.7939256	50818.715	6:57:39.09	-41:17:40.7	9.304	9.54	9.304	c	predict
V 358	s	10	0	12	6.7939256	50822.112	6:57:39.09	-41:17:40.7	9.304	9.54	9.304	c	predict
V 360	p	10	0	1	1.29644	48501.1043	7:1:47.21	-35:32:52.5	6.527	6.583	6.527	c	predict
V 361	p	10	0	1	0.367365	48500.182	7:7:53.05	-34:50:0.2	8.051	8.391	8.051	P	predict
V 362	p	10	0	1	9.26581	48258.268	7:10:39.6	-41:15:54.4	7.516	7.626	7.516	c	predict
V 365	p	10	0	1	30.0338	48202.637	7:19:6.54	-35:11:3.2	7.797	7.912	7.797	B	predict
V 366	p	9	1	6	2.4840258	47860.351	7:20:51.8	-48:30:50.8	8.06	8.55	8.06	V	predict
V 366	s	9	1	6	2.483898	52787.502	7:20:51.8	-48:30:50.8	8.06	8.55	8.06	V	predict
V 376	p	10	0	1	1.9427	48501.1401	7:33:13.16	-40:3:30.7	6.216	6.243	6.216	c	predict
V 381	p	10	0	1	5.5232	48501.197	7:39:27.23	-11:33:50.3	7.261	7.708	7.261	c	predict
V 390	p	10	0	1	3.9279	48501.178	7:44:34.17	-24:40:26.7	5.533	5.621	5.533	c	predict
V 397	p	7	3	8	3.004449	48697.493	7:49:14.65	-35:14:35.8	5.91	6.09	5.91	B	predict
V 397	s	7	3	8	3.004449	52980.773	7:49:14.65	-35:14:35.8	5.91	6.09	5.91	B	predict
V 399	p	4	6	14	3.91023	53520.473	7:49:28.89	-48:38:28.1	9.27	9.56	9.27	c	predict
V 399	s	4	6	14	3.91023	48505.5951	7:49:28.89	-48:38:28.1	9.27	9.56	9.27	c	predict
V 401	p	10	0	1	13.555	48505.83	7:51:10.78	-48:36:51.5	9.44	9.76	9.44	c	predict
V 405	p	10	0	1	1.56711	48500.047	7:57:14.8	-14:31:6.6	8.723	8.919	8.723	c	predict
V 410	p	10	0	1	0.876165	48500.3366	7:59:45.93	-47:18:12.7	6.684	6.738	6.738	c	predict
V 414	p	10	0	1	4.74922	52167.867	8:1:24.64	-12:47:35.7	8.79	9.12	8.94	V	predict
V 421	p	10	0	1	5.4174	48501.227	8:9:39.83	-27:26:21	9.069	9.226	9.226	c	predict
V 431	p	9	1	2	9.3593	48508.517	8:17:17.62	-42:31:17.5	7.208	7.32	7.32	c	predict
V 434	p	10	0	2	3.82278	52224	8:20:10.66	-23:21:33.4	7.76	8.38	8.38	P	predict
V 438	p	10	0	1	4.935	47976.37	8:24:57.21	-42:46:11.4	5.95	6.19	6.17	V	predict
V 571	p	10	0	20	10.984156	51454.763	7:32:19.46	-14:34:50.4	12.9	15	12.9	p	predict
V 579	p	10	0	1	2.15233	52183.82	7:17:59.7	-41:21:16	12.39	13.56	12.52	V	predict
V 581	p	9	1	1	0.92015	52877.892	7:28:21.1	-36:43:13	11.87	12.47	12.43	V	predict
V 582	p	9	1	1	2.6713	52763.433	7:34:8.3	-13:2:22	7.86	8.13	7.94	c	predict
V 583	p	9	1	1	0.780408	52643.764	7:40:47.8	-24:5:14	7.98	8.33	8.12	V	predict
V 587	p	10	0	1	7.2845	51928.652	8:3:44.2	-25:54:45	9.11	9.32	9.25	V	predict
V 589	p	10	0	1	2.02218	51964.603	8:10:26.6	-35:35:38	8.72	9.09	8.97	c	predict
V 595	p	7	3	4	2.51877	52388.485	8:24:4	-12:0:0	12.7	14.1	12.75	c	predict
V 596	p	8	2	9	4.59618	44620.6589	8:27:33.27	-20:50:38.2	6.57	7.05	7.05	V	predict
V 596	s	8	2	9	4.59618	44622.957	8:27:33.27	-20:50:38.2	6.57	7.05	7.05	V	predict
V 605	p	10	0	1	4.937	52239.762	7:26:44.1	-44:33:39	11.3	12	11.98	V	predict
V 607	p	9	1	1	7.24816	52520.898	7:36:19.1	-14:35:32	9.13	9.65	9.39	V	predict
V 608	p	9	1	1	0.953865	52566.839	7:39:37.2	-36:30:12	8.12	8.44	8.18	V	predict
V 610	p	9	1	1	1.563405	52706.617	7:43:0.6	-20:56:11	10.35	11.04	10.99	V	predict
V 611	p	9	1	1	6.3177	52540.855	7:44:6.1	-16:55:58	8.11	8.35	8.33	V	predict
V 615	p	9	1	1	3.38771	52950.772	7:52:45.8	-48:1:52	8.91	8.98	8.97	V	predict
V 617	p	10	0	1	3.1797	51966.575	7:54:48.3	-33:3:4	10.47	11.21	10.87	V	predict
V 618	p	9	1	1	4.53022	52655.733	7:55:43.2	-44:46:25	9.36	9.9	9.6	V	predict
V 621	p	10	0	1	0.390386	52437.461	7:58:9.1	-46:48:30	10.25	11	10.69	V	predict
V 623	p	9	1	1	1.75072	53053.678	7:59:42.1	-20:53:27	11.88	12.75	12.15	V	predict
V 625	p	9	1	1	0.446394	52723.645	8:1:50.5	-40:29:20	9.43	10.07	10.02	V	predict
V 626	p	10	0	1	1.425902	47913.248	8:3:10.4	-38:11:48	9.04	9.16	9.1	V	predict
V 627	p	9	1	1	5.79935	52754.55	8:3:11.1	-17:56:33	9.73	10.22	9.91	V	predict
V 634	p	9	1	1	115.481	53413.71	8:15:48.7	-31:52:41	9.61	9.91	9.91	V	predict
V 637	p	9	1	1	2.3705	52637.751	8:19:50.5	-39:28:54	11.28	11.95	11.5	V	predict
V 640	p	10	0	1	1.80488	51899.769	8:23:28.4	-21:9:16	11.66	12.14	11.72	V	predict
V 642	p	10	0	1	5.4141	51924.692	8:23:38.1	-23:20:40	10.25	10.95	10.95	V	predict
V 644	p	9	1	1	0.885933	53438.563	8:25:23.8	-26:5:4	11.73	13	11.85	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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> Minima predictions <

> Transits predictions <

New minimas B.R.N.O.:

DS Pav (C. Colazo)

GN Mus (C. Colazo)

V 676 Cen (C. Colazo, N. Marcionni)

V 659 Ara (C. Colazo)

VW Boo (M. Urbaník)

v 474 Cam (F. Scaggiante, D. Zardin)

HW Vir (L. Šmelcer)

New transits TRESCA:

Qatar-1 b (M. Zíbar)

WASP-43 b (T. and)

Qatar-1 b (T. and)

Qatar-1 b (P. Lake)

WASP-12 b (M. Salisbury)

Qatar-1 b (J. Mravik, J. Grnja)

Qatar-1 b (J. Trnka)

GJ1214 b (M. Vrašťák)

Qatar-1 b (F. Lomoz)

New data MEDUZA & HERO:

CCD:
M. Lehký:

NGC4151 CVn

MKN501 Her

V 1107 Her

YY Her

MKN421 UMa

NGC4151 CVn

MKN421 UMa

,
P. Dubovský:

3C 66A And

NSV 16874 Aur

S5 0716+714 Cam

VIZ:
P. Dubovský:

KV Boo

V 730 Cep

R CrB

T CrB

VW CrB

CI Cyg

EM Cyg

Q Cyg

SS Cyg

V 1028 Cyg

V 1113 Cyg

V 1251 Cyg

V 1329 Cyg

V 1363 Cyg

V 1454 Cyg

V 1504 Cyg

V 1742 Cyg

V 1805 Cyg

V 2037 Cyg

V 2176 Cyg

Currently operating observers:
Observers on-line chat

OAC, ORBA, EABA y OAEGG
(Carlos Colazo)

STATUS: Is active 16:01 - 00:01

PROGRAM: B.R.N.O TRESCA

Sternenstaub Observatorium
(Dittler, Ullrich)

STATUS: Is active 08:26 - 16:26

PROGRAM: Exoplanet Observing