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 Boo			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
SS	p	4	6	47	7.60614	51276.524	15:13:32.57	+38:34:5.7	10.28	10.95	10.38	V	predict
SS	s	4	6	47	7.60614	20711.1721	15:13:32.57	+38:34:5.7	10.28	10.95	10.38	V	predict
SU	p	1	16	83	1.56125	21071.373	14:29:21	+32:8:4	11.96	12.72	12.04	V	predict
SU	s	1	16	83	1.56125	54990.315	14:29:21	+32:8:4	11.96	12.72	12.04	V	predict
SY	p	1	9	10	0.714484	51273.62	14:12:40	+17:32:22	12.25	12.87	12.25	V	predict
SY	s	1	9	10	0.714484	51273.977	14:12:40	+17:32:22	12.25	12.87	12.25	V	predict
TU	p	1	98	416	0.324283	55690.7841	14:4:58	+30:0:2	11.8	12.5	12.4	P	predict
TU	s	1	98	416	0.324283	45816.528	14:4:58	+30:0:2	11.8	12.5	12.4	P	predict
TX	p	1	10	20	3.412823	31235.408	14:47:17.4	+31:50:28	12.4	13.2	12.4	P	predict
TY	p	1	136	418	0.3171495	47612.602	15:0:46.9	+35:7:55	10.81	11.47	11.35	V	predict
TY	s	1	136	418	0.3171495	54912.5914	15:0:46.9	+35:7:55	10.81	11.47	11.35	V	predict
TZ	p	1	255	460	0.29716095	37378.41	15:8:9.2	+39:58:12.3	10.41	11	10.82	V	predict
TZ	s	1	255	460	0.29716095	37378.559	15:8:9.2	+39:58:12.3	10.41	11	10.82	V	predict
UW	p	1	40	200	1.00471	53460.5465	14:20:59.35	+47:6:41	10.4	11.4	10.5	P	predict
UW	s	1	40	200	1.00471	52710.5313	14:20:59.35	+47:6:41	10.4	11.4	10.5	P	predict
VW	p	1	62	189	0.342319	48720.42	14:17:26.03	+12:34:3.9	10.5	11.08	10.93	V	predict
VW	s	1	62	189	0.342319	48720.591	14:17:26.03	+12:34:3.9	10.5	11.08	10.93	V	predict
XY	p	1	65	143	0.370564	39954.002	13:49:11.58	+20:11:24.4	10.3	10.61	10.61	V	predict
XY	s	1	65	143	0.370564	55979.601	13:49:11.58	+20:11:24.4	10.3	10.61	10.61	V	predict
YY	p	4	6	24	3.933065	53145.459	15:35:44	+43:28:49	12	13.5	12	P	predict
ZZ	p	3	7	142	4.99177	52792.4521	13:56:9.58	+25:55:7.4	6.79	7.44	7.44	V	predict
ZZ	s	3	7	142	4.99177	53079.474	13:56:9.58	+25:55:7.4	6.79	7.44	7.44	V	predict
AC	p	1	138	312	0.352437	56093.6968	14:56:28.34	+46:21:44.1	10	10.62	10.55	V	predict
AC	s	1	138	312	0.352437	41457.513	14:56:28.34	+46:21:44.1	10	10.62	10.55	V	predict
AD	p	1	30	192	2.068807	41434.448	14:35:12.8	+24:38:21.9	9.37	9.99	9.75	V	predict
AD	s	1	30	192	2.068807	54580.683	14:35:12.8	+24:38:21.9	9.37	9.99	9.75	V	predict
AK	p	8	2	3	0.69403	54593.782	13:38:39.06	+24:11:5.4	15.8	16.3	16.3	P	predict
AK	s	8	2	3	0.69403	54599.682	13:38:39.06	+24:11:5.4	15.8	16.3	16.3	P	predict
AQ	p	1	19	37	0.3331395	50518.518	13:47:26.9	+17:18:24	12.3	13	12.3	P	predict
AQ	s	1	19	37	0.3331395	55310.5638	13:47:26.9	+17:18:24	12.3	13	12.3	P	predict
AR	p	1	44	114	0.3448727	54555.5023	13:48:10.3	+24:55:26	13.5	14.5	14.2	P	predict
AR	s	1	44	114	0.3448727	54598.4399	13:48:10.3	+24:55:26	13.5	14.5	14.2	P	predict
BG	p	4	6	12	0.640081	53125.1496	14:0:29	+25:5:44	13.5	14.3	14.3	P	predict
BG	s	4	6	12	0.640081	52001.4972	14:0:29	+25:5:44	13.5	14.3	14.3	P	predict
BW	p	1	16	35	3.332818	40362.9026	14:37:8.84	+35:55:47.1	7.13	7.46	7.17	V	predict
BW	s	1	16	35	3.332818	52383.191	14:37:8.84	+35:55:47.1	7.13	7.46	7.17	V	predict
CK	p	1	47	108	0.3551534	42537.605	14:35:3.71	+9:6:50.1	8.99	9.26	9.23	V	predict
CK	s	1	47	108	0.3551534	42537.428	14:35:3.71	+9:6:50.1	8.99	9.26	9.23	V	predict
CV	p	1	65	196	0.8469932	53475.4504	15:26:19.6	+36:58:54	10.2	11	10.2	V	predict
CV	s	1	65	196	0.8469932	52858.4159	15:26:19.6	+36:58:54	10.2	11	10.2	V	predict
DN	p	2	8	8	0.447564	55693.3848	13:51:42	+14:18:6	11.17	11.38	11.17	V	predict
DN	s	2	8	8	0.447564	55691.3714	13:51:42	+14:18:6	11.17	11.38	11.17	V	predict
DU	p	1	11	15	1.0558882	48500.331	14:22:17.71	+41:27:2.3	8.585	9.093	8.585	V	predict
DU	s	1	11	15	1.0558882	53388.588	14:22:17.71	+41:27:2.3	8.585	9.093	8.585	V	predict
DV	p	7	3	5	3.782634	48045.254	14:22:49.71	+14:56:20.2	7.53	7.76	7.53	V	predict
EF	p	1	24	56	0.420515	55694.885	14:32:30.57	+50:49:41	9.427	9.994	9.427	V	predict
EF	s	1	24	56	0.420515	56013.8511	14:32:30.57	+50:49:41	9.427	9.994	9.427	V	predict
EL	p	1	14	17	0.413765	55698.4311	14:48:3.41	+13:56:41.2	9.376	9.522	9.376	V	predict
EL	s	1	14	17	0.413765	55702.3606	14:48:3.41	+13:56:41.2	9.376	9.522	9.376	V	predict
EM	p	6	4	6	2.44625	51317.926	14:48:32.21	+24:45:3.7	9.079	9.357	9.079	V	predict
EM	s	6	4	6	2.44625	51319.149	14:48:32.21	+24:45:3.7	9.079	9.357	9.079	V	predict
EQ	p	9	1	3	5.43536	47931.794	14:52:25.8	+17:57:23	8.8	9.2	8.8	V	predict
EQ	s	9	1	3	5.43536	47933.963	14:52:25.8	+17:57:23	8.8	9.2	8.8	V	predict
ET	p	1	43	46	0.6450405	53450.4854	14:59:20.35	+46:49:3.5	9.139	9.487	9.139	V	predict
ET	s	1	43	46	0.6450405	48500.765	14:59:20.35	+46:49:3.5	9.139	9.487	9.139	V	predict
EW	p	1	15	19	0.90635	48500.514	15:2:46.08	+37:54:36.6	10.312	10.693	10.312	V	predict
EW	s	1	15	19	0.90635	48500.964	15:2:46.08	+37:54:36.6	10.312	10.693	10.312	V	predict
FI	p	1	18	23	0.389998	54221.414	15:22:6	+51:10:55	9.6	9.7	9.6	V	predict
FI	s	1	18	23	0.389998	53867.1058	15:22:6	+51:10:55	9.6	9.7	9.6	V	predict
FP	p	6	4	8	0.640475	53754.3251	15:43:0.25	+43:15:55.1	10.156	10.395	10.156	V	predict
FP	s	6	4	8	0.640475	48500.798	15:43:0.25	+43:15:55.1	10.156	10.395	10.156	V	predict
FY	p	1	54	74	0.2411595	51274.691	13:46:51.8	+22:57:13	13.12	13.83	13.12	V	predict
FY	s	1	54	74	0.2411595	51274.812	13:46:51.8	+22:57:13	13.12	13.83	13.12	V	predict
GG	p	6	4	6	0.426969	54922.40582	14:9:16.6	+38:37:34	12.3	12.6	12.3	V	predict
GH	p	1	11	14	0.65951	51259.8633	14:14:51.5	+27:34:16	11.9	12.3	11.9	V	predict
GH	s	1	11	14	0.65951	51260.8551	14:14:51.5	+27:34:16	11.9	12.3	11.9	V	predict
GI	p	4	6	10	1.033533	55696.7997	14:37:23.3	+38:4:42	11.3	11.8	11.3	V	predict
GI	s	4	6	10	1.033533	51287.229	14:37:23.3	+38:4:42	11.3	11.8	11.3	V	predict
GK	p	1	192	195	0.477771	54959.52489	14:38:20.7	+36:32:25	10.3	10.8	10.3	c	predict
GK	s	1	192	195	0.477771	54947.3426	14:38:20.7	+36:32:25	10.3	10.8	10.3	c	predict
GL	p	5	5	8	3.19749	51286.681	14:40:5.7	+26:34:2	10.8	11.2	10.8	V	predict
GL	s	5	5	8	3.19749	51288.28	14:40:5.7	+26:34:2	10.8	11.2	10.8	V	predict
GM	p	1	25	34	0.361118	52001.403	14:47:26.6	+22:45:14	11.85	12.2	11.85	V	predict
GM	s	1	25	34	0.361118	54570.5776	14:47:26.6	+22:45:14	11.85	12.2	11.85	V	predict
GN	p	1	49	61	0.301602	54570.5876	14:50:7.8	+29:38:59	10.75	11.3	10.75	V	predict
GN	s	1	49	61	0.301602	54570.4367	14:50:7.8	+29:38:59	10.75	11.3	10.75	V	predict
GO	p	8	2	5	3.075929	55680.7375	14:53:12.5	+28:42:22	12	12.4	12	V	predict
GO	s	8	2	5	3.075929	51286.76	14:53:12.5	+28:42:22	12	12.4	12	V	predict
GP	p	1	13	16	0.81877	51258.8604	14:57:30.9	+24:2:51	11.1	11.4	11.1	V	predict
GP	s	1	13	16	0.81877	51259.2698	14:57:30.9	+24:2:51	11.1	11.4	11.1	V	predict
GQ	p	1	30	38	0.384641	53081.451	14:59:36.7	+25:2:45	12.65	13.07	12.65	V	predict
GQ	s	1	30	38	0.384641	53445.51	14:59:36.7	+25:2:45	12.65	13.07	12.65	V	predict
GR	p	1	26	35	0.37667	53081.3967	14:59:54.5	+25:54:34	11.45	11.9	11.45	V	predict
GR	s	1	26	35	0.37667	53445.4471	14:59:54.5	+25:54:34	11.45	11.9	11.45	V	predict
GS	p	1	11	16	1.256815	51221.853	15:0:29.6	+33:40:22	11.4	12	11.4	V	predict
GS	s	1	11	16	1.256815	54590.7593	15:0:29.6	+33:40:22	11.4	12	11.4	V	predict
GT	p	4	6	9	0.568922	53862.5191	15:17:26.7	+38:13:36	12.1	12.4	12.1	V	predict
GT	s	4	6	9	0.568922	51224.14188	15:17:26.7	+38:13:36	12.1	12.4	12.1	V	predict
GU	p	1	13	16	0.48873	51275.875	15:21:54.8	+33:56:10	13.1	13.7	13.1	V	predict
GU	s	1	13	16	0.48873	51276.11936	15:21:54.8	+33:56:10	13.1	13.7	13.1	V	predict
GV	p	1	11	23	0.367873	55661.603	13:36:59.37	+26:52:47.6	12.4	12.8	12.4	V	predict
GV	s	1	11	23	0.367873	55624.6343	13:36:59.37	+26:52:47.6	12.4	12.8	12.4	V	predict
GW	p	1	11	11	0.531545	52788.42371	13:53:13.84	+20:9:43.2	10.25	10.59	10.25	V	predict
GW	s	1	11	11	0.531545	55352.864	13:53:13.84	+20:9:43.2	10.25	10.59	10.25	V	predict
GX	p	7	3	4	0.387829	51332.194	14:1:5.6	+24:42:16	12.16	12.32	12.32	R	predict
GX	s	7	3	4	0.387829	55686.5466	14:1:5.6	+24:42:16	12.16	12.32	12.32	R	predict
HH	p	1	21	22	0.318666	54599.39352	14:21:44.05	+46:41:59.4	11	11.5	11	V	predict
HH	s	1	21	22	0.318666	54148.6406	14:21:44.05	+46:41:59.4	11	11.5	11	V	predict
HR	p	1	18	19	0.315967	51417.346	14:48:33	+21:44:1	13.25	13.85	13.7	c	predict
HR	s	1	18	19	0.315967	51417.50398	14:48:33	+21:44:1	13.25	13.85	13.7	c	predict
IK	p	1	16	16	0.303118	53382.626	14:8:46.3	+29:29:10.2	12	12.5	12.5	c	predict
IK	s	1	16	16	0.303118	55015.3713	14:8:46.3	+29:29:10.2	12	12.5	12.5	c	predict
IL	p	8	2	3	0.347407	56078.7045	14:9:0.53	+45:18:37.2	13.1	13.55	13.1	R	predict
IL	s	8	2	3	0.347407	56003.8396	14:9:0.53	+45:18:37.2	13.1	13.55	13.1	R	predict
IN	p	8	2	3	0.285768	51332.7	14:9:21.3	+31:10:8	13.9	14.8	13.9	c	predict
IN	s	8	2	3	0.285768	51332.843	14:9:21.3	+31:10:8	13.9	14.8	13.9	c	predict
IO	p	7	3	7	0.271128	56078.7247	14:12:51	+24:52:3	13	13.5	13	c	predict
IO	s	7	3	7	0.271128	56011.8924	14:12:51	+24:52:3	13	13.5	13	c	predict
IS	p	8	2	3	0.25145	56078.7064	14:16:0.17	+49:14:16.3	14	14.6	14	R	predict
IS	s	8	2	3	0.25145	51421.723	14:16:0.17	+49:14:16.3	14	14.6	14	R	predict
IV	p	9	1	1	0.394991	55677.793	14:16:39.6	+30:17:3	14.3	15.1	15.1	c	predict
IW	p	8	2	3	0.26475	51399.955	14:16:46.31	+43:8:45	13.4	13.7	13.4	R	predict
IX	p	9	1	1	0.35431	54667.5	14:16:53.6	+23:52:46	12.9	13.3	12.9	V	predict
KK	p	10	0	1	0.27913	51394.744	14:20:14.72	+43:10:57.5	14.3	14.8	14.7	R	predict
KM	p	8	2	3	0.35866	51425.818	14:20:53.8	+54:28:53.4	14.05	14.7	14.6	R	predict
KO	p	10	0	1	0.369508	51247.3147	14:21:57.5	+23:26:56	13.15	13.35	13.35	c	predict
KP	p	10	0	1	0.58987	51399.545	14:23:35.26	+43:39:40.6	11.9	12.35	11.9	R	predict
KW	p	8	2	3	0.34887	56016.8567	14:30:40.4	+27:13:29	14	14.5	14.5	c	predict
KW	s	8	2	3	0.34887	51373.914	14:30:40.4	+27:13:29	14	14.5	14.5	c	predict
KZ	p	8	2	4	0.353515	51397.801	14:32:34.39	+54:27:38.6	12.65	13.1	13.1	R	predict
KZ	s	8	2	4	0.353515	51397.978	14:32:34.39	+54:27:38.6	12.65	13.1	13.1	R	predict
LM	p	4	6	6	0.327921	53485.322	14:36:35.5	+24:0:37	12	12.5	12	c	predict
LM	s	4	6	6	0.327921	53485.486	14:36:35.5	+24:0:37	12	12.5	12	c	predict
LY	p	10	0	1	0.414408	51246.2978	14:41:53.8	+39:1:55	13.1	13.31	13.3	V	predict
MN	p	10	0	1	0.38769	51421.594	14:43:51.23	+47:43:2.9	9.18	9.48	9.18	R	predict
MQ	p	10	0	1	0.493406	55353.797	14:44:48.58	+44:39:0.3	12.6	13.05	12.6	R	predict
MR	p	10	0	1	0.86685	51408.908	14:45:33.35	+51:10:44.6	11.06	11.47	11.06	R	predict
MT	p	8	2	3	0.365347	56077.6955	14:47:6.67	+41:3:39	13.45	13.95	13.45	R	predict
MT	s	8	2	3	0.365347	51412.03	14:47:6.67	+41:3:39	13.45	13.95	13.45	R	predict
MV	p	10	0	1	3.56053	51288.72	14:48:31	+35:3:18	10.7	10.9	10.7	c	predict
MW	p	10	0	1	0.36414	51408.507	14:48:48.77	+47:40:41.9	14	14.4	14	R	predict
MY	p	8	2	3	0.473378	51387.9	14:52:17.89	+54:15:50.9	13.7	14.4	14.2	R	predict
MY	s	8	2	3	0.473378	51388.137	14:52:17.89	+54:15:50.9	13.7	14.4	14.2	R	predict
NO	p	10	0	1	3.4934	51425.66	14:55:1.9	+14:42:3	11.19	11.42	11.19	c	predict
NR	p	2	8	9	0.356731	53859.752	14:58:28.5	+11:5:54.9	12	12.5	12	c	predict
NR	s	2	8	9	0.356731	55647.8658	14:58:28.5	+11:5:54.9	12	12.5	12	c	predict
NT	p	10	0	1	0.43489	51408.707	15:0:32.77	+49:55:2.5	12.1	12.35	12.1	R	predict
NU	p	9	1	2	0.339564	51401.807	15:0:34.64	+54:10:54	13.4	13.8	13.4	R	predict
NW	p	1	13	13	1.01185563	54943.4044	15:0:50	+35:8:35	13	13	13	c	predict
NW	s	1	13	13	1.01185563	53110.4247	15:0:50	+35:8:35	13	13	13	c	predict
NX	p	10	0	1	1	52344.549	15:2:31.77	+33:28:34.7	12	12.5	12	V	predict
NY	p	10	0	1	0.32679	51406.635	15:1:9.59	+48:48:16	12.15	12.5	12.15	R	predict
NZ	p	1	104	104	0.0589094	53849.94908	15:2:41	+33:34:24	17.2	20	17.2	V	predict
OP	p	10	0	1	0.311445	51372.668	15:3:12.09	+53:33:54.2	12.8	13.1	12.8	R	predict
OQ	p	10	0	1	0.397984	51218.5117	15:3:37.7	+28:3:34	12.17	12.26	12.25	V	predict
OS	p	10	0	1	0.27572	51382.777	15:4:37.63	+42:56:5.7	13.8	14.1	13.8	R	predict
OT	p	10	0	1	15.64	51434.97	15:6:50.37	+47:38:16	9.8	10.25	9.8	R	predict
OZ	p	10	0	1	0.324083	51218.5117	15:12:48	+28:40:14	13.9	14.15	13.9	V	predict
PR	p	10	0	1	0.3713	51349.79	15:18:32.02	+44:57:11.6	13.7	14.1	13.7	R	predict
PS	p	10	0	1	0.281615	51403.825	15:19:44.17	+50:20:57.3	12.3	12.6	12.3	R	predict
PT	p	10	0	1	0.44664	51373.94	15:20:15.13	+43:23:48.6	12.6	12.82	12.6	R	predict
PU	p	10	0	1	0.48224	51395.826	15:23:2.18	+45:39:20.4	10.6	10.9	10.6	R	predict
PV	p	10	0	1	0.292534	51219.3725	15:23:25.5	+33:51:58	14.51	15.14	15.1	V	predict
PY	p	10	0	1	0.278047	51403.125	15:28:22.16	+51:32:21.5	12.1	12.65	12.1	R	predict
PZ	p	10	0	1	0.62265	51400.538	15:30:7.95	+43:15:0.5	12.9	13.4	12.9	R	predict
QQ	p	10	0	1	0.27648	51415.776	15:32:4.83	+45:34:7.4	12.45	12.85	12.45	R	predict
QT	p	10	0	1	0.319065	51402.537	15:35:10.99	+49:47:44	11.65	11.8	11.75	R	predict
QV	p	10	0	1	0.3248	51396.81	15:36:29.48	+39:56:10.9	14.2	15	14.2	R	predict
QW	p	10	0	1	0.29087	51391.922	15:36:34.58	+46:38:9.3	12.1	12.45	12.1	R	predict
QX	p	10	0	1	0.360465	51395.97	15:36:49.26	+47:37:19.1	12.5	13.2	12.5	R	predict
QY	p	10	0	1	0.34189	51404.765	15:39:17.41	+43:45:45.3	12.7	12.9	12.7	R	predict
V 339	p	10	0	1	0.36281	51393.654	15:48:35.03	+43:28:45	10.7	10.9	10.7	R	predict
G3046.0279	p	8	2	2	0.621123	53055.615	14:44:13.22	+41:20:15.5	12.168	12.168	12.168	C	predict
i	p	1	19	608	0.2678185	55352.46344	15:3:49.06	+47:38:18.1	5.8	6.4	6.29	V	predict
i	s	1	19	608	0.2678185	43615.715	15:3:49.06	+47:38:18.1	5.8	6.4	6.29	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.:

V859 Cyg (M. Vrašťák)

NSVS 07826147 (L. Šmelcer)

New transits TRESCA:

HD189733 b (A. Carreno)

HAT-P-12 b (M. Salisbury)

HAT-P-5 b (J. Mravik, J. Grnja)

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

Qatar-1 b (S. Golovanow)

Qatar-1 b (J. Gonzalez)

TrES-1 b (B. Walsh, T. Balonek, K. Iadanza)

TrES-1 b (K. Iadanza, T. Balonek)

New data MEDUZA & HERO:

CCD:
M. Lehký:

NGC4151 CVn

MKN421 UMa

NGC4151 CVn

MKN421 UMa

NGC4151 CVn

MKN501 Her

V 1107 Her

YY Her

MKN421 UMa

NGC4151 CVn

VIZ:
P. Dubovský:

WY And

Z And

Eta Aql

Rho Cas

V 465 Cas

Delta Cep

TZ Cep

V 730 Cep

R CrB

T CrB

VW CrB

CI Cyg

EM Cyg

P Cyg

Q Cyg

SS Cyg

V 1028 Cyg

V 1113 Cyg

V 1251 Cyg

V 1329 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