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 Oph			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
U	p	1	20	759	1.67734617	44416.3864	17:16:31.72	+1:12:38	5.84	6.56	6.46	V	predict
U	s	1	20	759	1.67734617	44417.2251	17:16:31.72	+1:12:38	5.84	6.56	6.46	V	predict
RV	p	7	3	144	3.687122	23997.38	17:34:34.95	+7:14:49.2	9.42	11.44	11.44	V	predict
RZ	p	10	0	76	261.9277	42204.39	18:45:46.38	+7:13:12.3	9.65	10.42	10.42	V	predict
SW	p	3	7	58	2.44607	55673.8374	16:16:28.05	-6:58:43.7	10.6	11.7	11.7	P	predict
SX	p	1	11	55	2.0633038	33399.557	16:17:55.5	-6:39:52.1	11.8	12.3	12.3	P	predict
SZ	p	9	1	29	3.70851	45485.48	17:15:2.76	-8:3:27.3	10.7	12.2	12.2	P	predict
UU	p	6	4	5	4.396797	20750.489	16:57:22.64	-25:47:58.5	10.2	12	10.3	V	predict
WZ	p	1	9	119	4.183506	53901.4151	17:6:39.04	+7:46:57.8	9.14	9.82	9.82	V	predict
WZ	s	1	9	119	4.183506	53982.9931	17:6:39.04	+7:46:57.8	9.14	9.82	9.82	V	predict
AF	p	9	1	2	8.8981	52768.73	17:17:38.95	+4:14:53.1	12.9	13.6	13	V	predict
AL	p	6	4	17	0.992999	50243.43	17:26:45.33	+12:57:57	14.1	15	15	P	predict
AL	s	6	4	17	0.992999	50321.3896	17:26:45.33	+12:57:57	14.1	15	15	P	predict
CY	p	10	0	3	16.355	51931.924	16:56:5.9	-28:21:48.5	10.59	11.09	11.01	V	predict
CY	s	10	0	3	16.355	51936.765	16:56:5.9	-28:21:48.5	10.59	11.09	11.01	V	predict
FG	p	10	0	1	2.10375	51938.452	17:2:20.05	-25:22:28.6	12.23	12.84	12.4	V	predict
LL	p	10	0	1	2.7925	52468.615	16:55:34.88	-27:54:47.1	12.8	13.6	12.9	V	predict
V 378	p	10	0	28	70.46	49154.5	17:49:4.83	+5:0:31.7	13.8	15.8	14.2	P	predict
V 378	s	10	0	28	70.46	27699.25	17:49:4.83	+5:0:31.7	13.8	15.8	14.2	P	predict
V 391	p	6	4	25	2.895561	53171.523	17:58:9.13	+4:39:27.6	11.5	15	11.5	P	predict
V 415	p	8	2	21	2.537145	43199.585	18:1:3.98	+1:11:23	14.6	15.4	15.4	P	predict
V 423	p	7	3	21	1.2037875	27236.459	18:6:16.46	+0:33:31.4	11	12	12	P	predict
V 441	p	8	2	6	3.058525	53932.399	17:20:52.71	-17:20:5.2	11.6	15.5	15.5	P	predict
V 448	p	4	6	14	1.819698	53915.38	17:15:20.78	-18:6:57.3	12.2	13.8	12.2	P	predict
V 451	p	1	16	141	2.19659616	44834.365	18:29:14.04	+10:53:31.4	7.86	8.46	8.23	P	predict
V 451	s	1	16	141	2.19659616	53575.7235	18:29:14.04	+10:53:31.4	7.86	8.46	8.23	P	predict
V 456	p	1	29	85	1.016001	41897.532	18:43:5.82	+8:50:23.3	10.2	10.7	10.5	P	predict
V 456	s	1	29	85	1.016001	41898.04	18:43:5.82	+8:50:23.3	10.2	10.7	10.5	P	predict
V 487	p	8	2	13	3.13583516	44486.235	18:2:33.66	+1:47:47.9	12.8	14.1	14.1	P	predict
V 496	p	5	5	28	2.57587	55739.8123	18:10:14.63	+3:8:42	14.3	15.7	15.7	P	predict
V 501	p	4	6	173	0.96795	52836.4316	18:18:35.56	+14:13:42.7	10.9	11.8	11.1	V	predict
V 501	s	4	6	173	0.96795	30911.879	18:18:35.56	+14:13:42.7	10.9	11.8	11.1	V	predict
V 502	p	1	19	151	0.453387	48500.119	16:41:20.86	+0:30:27.4	8.34	8.84	8.81	V	predict
V 502	s	1	19	151	0.453387	48500.34569	16:41:20.86	+0:30:27.4	8.34	8.84	8.81	V	predict
V 506	p	1	79	144	1.0604275	54137.0212	17:41:4.19	+7:47:4.3	11.2	12	12	P	predict
V 506	s	1	79	144	1.0604275	54179.9684	17:41:4.19	+7:47:4.3	11.2	12	12	P	predict
V 509	p	10	0	0	1.223458	54284.48	18:0:3.2	+3:27:20	12.6	13.8	13.8	V	predict
V 511	p	7	3	32	1.0657	26413.605	18:8:19.25	+2:25:30.8	13.4	15.2	13.7	P	predict
V 524	p	9	1	2	0.308926	28778.347	17:29:48.74	-28:57:31	13	13.8	13.8	P	predict
V 526	p	10	0	2	3.489561	51936.884	17:32:52.66	-28:38:20.7	13.2	13.8	13.6	P	predict
V 527	p	10	0	1	0.774704	28346.504	17:33:59.52	-29:49:46.7	14.4	15.4	14.8	P	predict
V 528	p	7	3	5	5.41098	53919.495	17:37:11.48	-29:50:21.5	12.6	13.7	13.7	P	predict
V 528	s	7	3	5	5.41098	28403.99666	17:37:11.48	-29:50:21.5	12.6	13.7	13.7	P	predict
V 529	p	10	0	1	27.8485	24732.8	17:41:56.62	-28:18:9.8	13.2	16.5	16.5	P	predict
V 535	p	10	0	2	6.05539	27959.505	17:32:10.18	-29:26:0.3	11.3	13.6	13.6	P	predict
V 537	p	9	1	3	1.147202	52053.717	17:33:36.94	-28:20:9.7	12.1	12.7	12.4	V	predict
V 572	p	10	0	18	2.4306039	49927.46	18:4:18.33	+2:6:18.7	15.4	16.6	16.6	P	predict
V 573	p	8	2	17	4.352269	51282.45	18:6:5.38	+2:5:43.8	13.1	16.1	16.1	P	predict
V 577	p	4	6	27	6.079096	52427.5226	18:16:45.85	+6:54:18.2	11.36	12	11.9	B	predict
V 577	s	4	6	27	6.079096	51385.4339	18:16:45.85	+6:54:18.2	11.36	12	11.9	B	predict
V 586	p	10	0	17	2.694116	51669.478	18:27:13.94	+4:17:15.3	13.3	15.8	15.8	P	predict
V 590	p	10	0	3	0.826876	29401.536	18:27:31.35	+9:12:26.3	13.4	13.7	13.6	P	predict
V 590	s	10	0	3	0.826876	52086.469	18:27:31.35	+9:12:26.3	13.4	13.7	13.6	P	predict
V 636	p	10	0	6	2.233265	51273.895	18:36:41.47	+10:28:21.5	13.5	15.7	15.7	P	predict
V 709	p	1	9	15	3.045175	48092.37	16:28:2.8	-4:12:57	11.9	13.4	12	P	predict
V 735	p	7	3	31	3.20521	26894.517	17:7:48.97	+9:33:9.2	10.5	11.6	10.6	P	predict
V 751	p	10	0	1	1.07285	51277.923	17:21:35.16	+3:8:53.1	14	15	15	P	predict
V 752	p	9	1	42	1.836643	51322.413	17:21:23.55	+10:37:47.2	13.2	14.6	13.2	P	predict
V 760	p	9	1	19	1.561533	49193.496	17:25:14.19	+9:39:10.1	13.9	20.9	13.9	P	predict
V 806	p	10	0	6	15.4065	48853.389	17:40:53.17	-16:57:37.7	11.6	13	13	V	predict
V 831	p	10	0	1	0.62616	51274.95	17:49:46.35	+8:10:50.9	13.8	14.9	14.9	P	predict
V 846	p	9	1	3	3.126721	52727.85	17:39:40.87	-28:51:12.1	9.9	10.6	9.9	V	predict
V 913	p	2	8	94	1.917387	55423.3714	17:55:3.59	+14:10:39.2	11.5	14.5	14.5	P	predict
V 916	p	9	1	34	3.11481	52839.533	18:22:49.5	+4:7:55.4	11.4	13.3	13.3	P	predict
V 920	p	10	0	7	1.5505	29114.415	18:28:20.23	+8:30:5.6	15.1	15.9	15.9	P	predict
V 920	s	10	0	7	1.5505	29115.19	18:28:20.23	+8:30:5.6	15.1	15.9	15.9	P	predict
V 924	p	10	0	5	0.359554	29135.354	18:33:28.29	+7:57:50.8	15.7	16.4	16.4	P	predict
V 924	s	10	0	5	0.359554	30200.535	18:33:28.29	+7:57:50.8	15.7	16.4	16.4	P	predict
V 929	p	10	0	4	2.3401	30207.451	18:40:56.4	+8:17:51	15.5	16.1	15.5	c	predict
V 930	p	10	0	4	1.397553	30146.478	18:41:45.66	+12:2:11.1	14.2	14.8	14.8	P	predict
V 940	p	10	0	11	0.433226	29785.408	17:53:6.21	+7:41:20.2	14.8	15.8	15.6	P	predict
V 940	s	10	0	11	0.433226	29845.413	17:53:6.21	+7:41:20.2	14.8	15.8	15.6	P	predict
V 941	p	8	2	21	1.2497107	48801.486	17:53:30.88	+7:41:27.4	16	16.6	16.5	P	predict
V 941	s	8	2	21	1.2497107	48802.111	17:53:30.88	+7:41:27.4	16	16.6	16.5	P	predict
V 947	p	6	4	25	0.7977454	53583.659	18:2:5.33	+5:52:45.7	15.25	15.6	15.45	P	predict
V 954	p	9	1	8	0.2252705	55014.807	18:9:23.02	+1:23:4.3	14.3	14.9	14.9	P	predict
V 954	s	9	1	8	0.2252705	29785.524	18:9:23.02	+1:23:4.3	14.3	14.9	14.9	P	predict
V 963	p	10	0	11	0.264743	29785.523	18:15:18.39	+6:47:12.8	14.6	15.1	15.1	P	predict
V 968	p	10	0	30	0.7232656	49215.413	18:19:21.64	+3:22:11.3	14.3	15.2	15.2	P	predict
V 968	s	10	0	30	0.7232656	49215.8	18:19:21.64	+3:22:11.3	14.3	15.2	15.2	P	predict
V 969	p	9	1	23	0.60146118	55045.4115	18:20:17.85	+3:30:31.6	13.5	13.9	13.8	B	predict
V 981	p	6	4	28	1.428512	36069.259	17:48:50.43	+11:24:27.5	13.1	14.2	13.5	P	predict
V 983	p	10	0	7	8.4449	52092.359	17:55:38	+2:28:41.4	10.06	10.45	10.43	V	predict
V 983	s	10	0	7	8.4449	52098.532	17:55:38	+2:28:41.4	10.06	10.45	10.43	V	predict
V 987	p	10	0	7	2.20285	47736.447	18:14:36.93	+2:23:0.8	14.45	15.05	14.65	B	predict
V1001	p	8	2	4	1.789753	52787.85	16:32:33.76	-15:25:14	14.5	16.1	16.1	P	predict
V1010	p	1	27	442	0.66143	55758.3547	16:49:27.67	-15:40:4.7	6.1	7	6.46	V	predict
V1010	s	1	27	442	0.66143	55757.3644	16:49:27.67	-15:40:4.7	6.1	7	6.46	V	predict
V1016	p	1	10	42	0.407161	54984.8212	16:16:38.39	-5:21:17.8	13.1	14.1	14.1	P	predict
V1016	s	1	10	42	0.407161	53552.6465	16:16:38.39	-5:21:17.8	13.1	14.1	14.1	P	predict
V1022	p	4	6	7	0.2394017	44441.5624	16:21:21.32	-4:3:10	15.1	16.12	15.95	B	predict
V1022	s	4	6	7	0.2394017	54984.6958	16:21:21.32	-4:3:10	15.1	16.12	15.95	B	predict
V1065	p	4	6	21	9.85745	51274.591	17:38:53.1	+10:23:31.9	11.99	12.84	12.32	V	predict
V1076	p	10	0	9	1.874345	43195.598	17:51:2.09	+6:27:39.6	15.7	18	18	B	predict
V1080	p	10	0	14	4.873579	48862.362	17:56:48.44	+6:26:12.7	15.4	17.8	15.4	P	predict
V1087	p	10	0	1	0.5872985	48100.367	18:3:36.33	+3:4:18.9	15.1	16.2	15.1	p	predict
V1102	p	10	0	12	2.2155274	38553.49	18:17:41.7	+5:31:11	16	17	17	P	predict
V1120	p	6	4	6	0.33675319	29298.575	16:9:59.64	-6:34:12.7	13.9	14.4	14.3	P	predict
V1120	s	6	4	6	0.33675319	29298.407	16:9:59.64	-6:34:12.7	13.9	14.4	14.3	P	predict
V1125	p	1	9	50	0.911629	55283.933	16:55:6	+11:33:2	11	11.5	11.5	P	predict
V1125	s	1	9	50	0.911629	38901.5	16:55:6	+11:33:2	11	11.5	11.5	P	predict
V1171	p	10	0	1	0.91165	52389.433	16:59:15.64	-18:12:43.9	14.2	14.7	14.7	P	predict
V1879	p	9	1	1	4.8167	53606.615	17:20:2.86	-20:58:13.1	13.4	14	14	V	predict
V1927	p	10	0	2	4.08851	35960.916	17:21:13.58	-18:25:12.8	13.8	15	15	P	predict
V2036	p	10	0	18	6.787649	47770.344	18:8:39.38	+6:15:38.2	14.1	16.2	16.2	P	predict
V2051	p	10	0	4	0.06242786	45115.75448	17:8:19.11	-25:48:30.3	13	17.5	17	V	predict
V2056	p	10	0	6	4.2549086	47368.474	17:41:34.83	-0:35:40.5	13.7	15.9	13.9	P	predict
V2056	s	10	0	6	4.2549086	51276.601	17:41:34.83	-0:35:40.5	13.7	15.9	13.9	P	predict
V2117	p	10	0	4	2.34375	52157.403	17:59:24.32	-9:54:41.8	12.4	13.3	13.3	P	predict
V2201	p	10	0	50	0.345017599	49127.495	17:44:4.44	+3:44:16.8	14.51	14.82	14.82	B	predict
V2201	s	10	0	50	0.345017599	49127.66751	17:44:4.44	+3:44:16.8	14.51	14.82	14.82	B	predict
V2203	p	1	9	78	0.455001	42812.645	17:49:43.28	+4:28:24.3	11.56	11.94	11.94	V	predict
V2203	s	1	9	78	0.455001	42812.867	17:49:43.28	+4:28:24.3	11.56	11.94	11.94	V	predict
V2288	p	1	20	20	21.6661	53901.43	17:41:53.63	+5:16:30.8	12.6	13.1	13.1	P	predict
V2288	s	1	20	20	21.6661	53906.78	17:41:53.63	+5:16:30.8	12.6	13.1	13.1	P	predict
V2332	p	7	3	4	0.54458	55327.7702	18:1:48.91	+8:35:45.3	13.8	14.9	14.9	B	predict
V2355	p	10	0	1	2.10773	48502.006	16:50:55.48	-16:32:48.9	7.107	7.244	7.244	V	predict
V2357	p	6	4	6	0.415565	51277.916	16:57:16.76	+10:59:51.4	10.66	10.79	10.7	V	predict
V2357	s	6	4	6	0.415565	53137.7985	16:57:16.76	+10:59:51.4	10.66	10.79	10.7	V	predict
V2368	p	9	1	2	38.32712	54294.67	17:16:14.26	+2:11:10.3	6.22	6.42	6.42	V	predict
V2373	p	7	3	4	1.086282	55697.56539	17:32:2.87	+2:49:25.3	7.389	7.464	7.464	V	predict
V2373	s	7	3	4	1.086282	48501.4803	17:32:2.87	+2:49:25.3	7.389	7.464	7.464	V	predict
V2377	p	7	3	5	0.4254035	54599.46783	17:33:56.05	+8:9:57.8	8.595	8.727	8.727	V	predict
V2377	s	7	3	5	0.4254035	55698.49786	17:33:56.05	+8:9:57.8	8.595	8.727	8.727	V	predict
V2383	p	4	6	8	0.5022043	53484.7905	17:40:43.78	-7:46:12.9	10.23	11.09	10.48	V	predict
V2383	s	4	6	8	0.5022043	52083.891	17:40:43.78	-7:46:12.9	10.23	11.09	10.48	V	predict
V2388	p	1	24	26	0.802299	49890.5045	17:54:14.17	+11:7:50	6.253	6.553	6.553	V	predict
V2388	s	1	24	26	0.802299	54365.3269	17:54:14.17	+11:7:50	6.253	6.553	6.553	V	predict
V2394	p	8	2	14	0.589356	50275.2101	16:31:40.67	-24:25:16.3	11.25	11.95	11.9	U	predict
V2394	s	8	2	14	0.589356	53511.6615	16:31:40.67	-24:25:16.3	11.25	11.95	11.9	U	predict
V2425	p	9	1	5	1.763055	50265.452	17:19:18.49	-0:10:17.9	10.6	11.43	11.4	P	predict
V2425	s	9	1	5	1.763055	51278.339	17:19:18.49	-0:10:17.9	10.6	11.43	11.4	P	predict
V2536	p	9	1	2	2.1635	52792.4862	18:9:57.29	+8:50:26.2	11.55	12.08	11.55	c	predict
V2553	p	1	11	14	0.457615	51274.866	17:24:41.57	+13:53:58	11.3	11.8	11.7	V	predict
V2553	s	1	11	14	0.457615	54239.525	17:24:41.57	+13:53:58	11.3	11.8	11.7	V	predict
V2563	p	8	2	2	0.372302	54316.694	18:4:21.5	+0:36:23	10	10	10	c	predict
V2563	s	8	2	2	0.372302	55739.8293	18:4:21.5	+0:36:23	10	10	10	c	predict
V2610	p	1	18	19	0.426512	52369.95	17:53:32.3	-3:54:55	9.2	9.45	9.45	V	predict
V2610	s	1	18	19	0.426512	54681.0096	17:53:32.3	-3:54:55	9.2	9.45	9.45	V	predict
V2612	p	1	13	22	0.375308	52798.494	18:29:13.02	+6:47:13.8	9.35	9.72	9.7	V	predict
V2612	s	1	13	22	0.375308	55729.4632	18:29:13.02	+6:47:13.8	9.35	9.72	9.7	V	predict
V2617	p	9	1	1	0.424074	52749.804	16:27:7.2	-8:51:0	13.15	13.75	13.35	V	predict
V2619	p	10	0	1	0.479238	51352.79	16:43:27.4	-12:10:47	13.75	14.35	14.35	V	predict
V2626	p	5	5	5	10.8743	52787.824	17:5:32	+10:32:47	8.26	8.43	8.36	V	predict
V2626	s	5	5	5	10.8743	52793.261	17:5:32	+10:32:47	8.26	8.43	8.36	V	predict
V2632	p	9	1	1	2.69691	53491.81	17:11:52.7	-23:54:35	12.98	13.6	12.98	V	predict
V2635	p	7	3	3	0.430961	54250.759	17:16:29.8	-0:29:17	12.15	12.6	12.6	V	predict
V2635	s	7	3	3	0.430961	52721.053	17:16:29.8	-0:29:17	12.15	12.6	12.6	V	predict
V2636	p	9	1	1	3.3337	53544.686	17:18:10.1	-17:15:48	12.75	13.5	12.75	V	predict
V2637	p	7	3	4	0.386176	51325.797	17:18:29.7	+5:16:31	11.8	12.27	12.21	V	predict
V2637	s	7	3	4	0.386176	51325.99	17:18:29.7	+5:16:31	11.8	12.27	12.21	V	predict
V2638	p	9	1	1	1.87423	52841.67	17:18:44.6	-18:56:15	13.2	14	13.9	V	predict
V2640	p	7	3	3	0.419892	52860.694	17:28:1.5	+5:7:15	12.5	13.2	13.2	V	predict
V2640	s	7	3	3	0.419892	52860.904	17:28:1.5	+5:7:15	12.5	13.2	13.2	V	predict
V2642	p	9	1	1	3.46464	53122.835	17:35:57.1	+11:50:41	11.4	12	11.4	V	predict
V2644	p	9	1	1	1.27748	53194.705	17:36:44.9	-29:14:27	12.8	13.25	13	V	predict
V2647	p	8	2	2	3.3515	53077.904	17:42:20.3	+10:20:4	12.3	12.85	12.4	V	predict
V2650	p	8	2	3	0.384055	51453.688	17:45:20.7	+8:10:39	12.57	13.2	13	V	predict
V2653	p	10	0	2	4.39433	48744.81	17:52:47.3	+3:47:39	9.5	9.78	9.74	V	predict
V2657	p	10	0	17	1.710533	49215.413	17:57:42.7	+2:31:20	13.7	15.2	13.7	P	predict
V2659	p	9	1	1	0.776761	53448.899	17:58:13.8	+3:0:14	12.83	13.85	12.97	V	predict
V2660	p	10	0	13	1.2061988	47380.399	18:1:24	+0:0:8	14.15	14.45	14.15	B	predict
V2663	p	10	0	13	1.4057497	48839.392	18:2:47.7	+7:54:1	15	15.9	15	B	predict
NSV 08733	p	7	3	21	0.357189	55321.8094	17:25:2	+8:46:12	13.7	14	13.8	p	predict
NSV 08733	s	7	3	21	0.357189	46704.444	17:25:2	+8:46:12	13.7	14	13.8	p	predict
NSV 08869	p	10	0	15	1.4340859	49133.45	17:28:50	+12:21:57	13.9	15	13.9	P	predict
NSV 08970	p	10	0	14	2.504273	49213.364	17:30:1	+10:3:26	14.9	15.7	15.2	P	predict
G0995.1646	p	2	8	10	0.444631	53250.3326	17:21:56.7	+9:56:54	13	14	14	c	predict
G0995.1646	s	2	8	10	0.444631	54364.3625	17:21:56.7	+9:56:54	13	14	14	c	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.:

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

HW Vir (L. Šmelcer)

XY Boo (L. Šmelcer)

New transits TRESCA:

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)

WASP-25 b (P. Evans)

HAT-P-3 b (S. Poddaný)

WASP-3 b (F. Martinelli)

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:

R CrB

T CrB

EM Cyg

Q Cyg

SS Cyg

V 1028 Cyg

V 1113 Cyg

V 1329 Cyg

V 1363 Cyg

V 1454 Cyg

V 1504 Cyg

V 2176 Cyg

V 503 Cyg

V 630 Cyg

V 632 Cyg

V 751 Cyg

AH Her

FSVS J1722+2723 Her

V 660 Her

YY Her

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