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 Gem			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
U	p	1	26	70	0.17690624	37638.825	7:55:5.21	+22:0:4.8	8.2	14.9	8.2	V	predict
RU	p	8	2	29	8.6708	53378.36	7:26:58.93	+21:26:6.8	12.1	13.2	12.1	P	predict
RW	p	1	15	231	2.8654972	53384.943	6:1:28.06	+23:8:27.5	9.53	11.76	9.74	V	predict
RW	s	1	15	231	2.8654972	18304.08775	6:1:28.06	+23:8:27.5	9.53	11.76	9.74	V	predict
RX	p	6	4	29	12.208658	40555.862	6:50:11.54	+33:14:20.7	9.2	10.81	9.28	V	predict
RY	p	8	2	46	9.300567	53395.064	7:27:24.17	+15:39:34.7	8.69	11.04	8.75	V	predict
SV	p	9	1	21	4.0061216	18662.488	6:0:41.02	+24:28:25.8	10.55	12	10.55	V	predict
SV	s	9	1	21	4.0061216	50397.39	6:0:41.02	+24:28:25.8	10.55	12	10.55	V	predict
SX	p	1	26	122	1.3668748	19031.27	6:28:14.41	+20:33:50	11	11.9	11.3	P	predict
SX	s	1	26	122	1.3668748	19031.95344	6:28:14.41	+20:33:50	11	11.9	11.3	P	predict
TX	p	1	16	129	2.800012	53706.1588	7:36:0.89	+16:54:29.2	10	11.3	10.04	P	predict
TZ	p	1	9	26	1.677716	28495.75	6:37:36.8	+19:36:26.5	13.4	15.6	13.4	P	predict
WW	p	1	38	117	1.237812	25984.257	6:12:5.79	+23:30:3.3	9.9	10.5	10.3	P	predict
WW	s	1	38	117	1.237812	53433.3603	6:12:5.79	+23:30:3.3	9.9	10.5	10.3	P	predict
YY	p	1	15	192	0.8142822	51926.3881	7:34:37.41	+31:52:9.8	8.91	9.6	9.59	V	predict
YY	s	1	15	192	0.8142822	24596.2243	7:34:37.41	+31:52:9.8	8.91	9.6	9.59	V	predict
AC	p	1	14	61	1.661798	15100.37	6:32:16.79	+19:50:23.3	11	11.8	11.3	P	predict
AC	s	1	14	61	1.661798	50517.4631	6:32:16.79	+19:50:23.3	11	11.8	11.3	P	predict
AE	p	9	1	14	11.45688	35893.28	6:47:36.89	+28:55:13.7	10.5	12.3	10.5	P	predict
AF	p	1	34	222	1.2435	44968	6:50:39.65	+21:21:56	10.54	11.83	10.67	V	predict
AF	s	1	34	222	1.2435	44968.62175	6:50:39.65	+21:21:56	10.54	11.83	10.67	V	predict
AH	p	1	29	41	0.3367544	54830.615	6:53:17.86	+15:59:22.8	14.4	14.9	14.8	P	predict
AH	s	1	29	41	0.3367544	25283.614	6:53:17.86	+15:59:22.8	14.4	14.9	14.8	P	predict
AI	p	1	25	33	0.7242085	25283.385	6:54:1.54	+16:4:47.3	13.8	14.2	14	P	predict
AI	s	1	25	33	0.7242085	53385.234	6:54:1.54	+16:4:47.3	13.8	14.2	14	P	predict
AL	p	1	37	125	1.3913415	54141.541	6:57:38.56	+20:53:32.5	9.8	10.39	9.85	V	predict
AL	s	1	37	125	1.3913415	54935.301	6:57:38.56	+20:53:32.5	9.8	10.39	9.85	V	predict
AN	p	8	2	9	2.032404	53463.3222	7:8:57.52	+19:48:13.4	13.2	15.2	13.3	V	predict
AN	s	8	2	9	2.032404	25274.886	7:8:57.52	+19:48:13.4	13.2	15.2	13.3	V	predict
AV	p	1	15	53	1.2216535	27832.6099	6:42:1.58	+13:24:51.3	12.4	13.9	12.8	P	predict
AV	s	1	15	53	1.2216535	27833.2207	6:42:1.58	+13:24:51.3	12.4	13.9	12.8	P	predict
AY	p	1	14	58	3.053641	53670.6431	6:31:56.2	+19:40:11.6	10.8	11.9	10.9	P	predict
AY	s	1	14	58	3.053641	36632.853	6:31:56.2	+19:40:11.6	10.8	11.9	10.9	P	predict
AZ	p	1	16	30	1.006186	26000.564	6:34:33.38	+14:28:20	11.8	12.4	12.4	P	predict
AZ	s	1	16	30	1.006186	26001.06709	6:34:33.38	+14:28:20	11.8	12.4	12.4	P	predict
BD	p	1	13	72	1.616725	27414.54	6:34:43.09	+15:34:53.6	11.9	13.8	11.9	P	predict
BH	p	9	1	12	6.24955	26027.1	6:4:39.19	+26:25:17.7	13.6	16	13.6	P	predict
BO	p	5	5	46	4.068708	55263.452	6:25:1.3	+17:58:12.7	11.3	15.1	11.3	P	predict
BS	p	9	1	12	1.05035	30432.42	6:10:18.42	+22:45:11.8	14.7	16	14.7	P	predict
BS	s	9	1	12	1.05035	53410.38	6:10:18.42	+22:45:11.8	14.7	16	14.7	P	predict
BT	p	2	8	42	1.2369358	28453.64	6:11:41.11	+23:19:39.9	13.9	15.3	14	P	predict
CK	p	5	5	30	1.412912	52696.389	6:30:37.1	+19:38:28.4	13.2	15.4	13.2	P	predict
CM	p	10	0	13	1.403522	28453.61	6:31:35.34	+17:54:23.9	14.8	15.3	15	P	predict
CM	s	10	0	13	1.403522	28454.312	6:31:35.34	+17:54:23.9	14.8	15.3	15	P	predict
CP	p	6	4	17	2.4022675	28453.63	6:33:41.66	+19:29:36.1	13.7	15.8	13.7	P	predict
CP	s	6	4	17	2.4022675	53056.4651	6:33:41.66	+19:29:36.1	13.7	15.8	13.7	P	predict
CU	p	7	3	11	3.030053	28108.44	6:37:22.79	+21:44:29.8	13.6	14.2	13.6	P	predict
CV	p	8	2	11	1.848393	28251.37	6:39:21.95	+21:10:37.8	14.9	16.4	14.9	P	predict
CW	p	6	4	38	1.6781648	55604.7141	6:39:58.91	+21:52:33.9	12.3	13.6	12.3	P	predict
CW	s	6	4	38	1.6781648	54454.3417	6:39:58.91	+21:52:33.9	12.3	13.6	12.3	P	predict
CX	p	4	6	42	2.163696	28183.42	6:40:3.76	+21:49:18.7	12	14.2	12	P	predict
CX	s	4	6	42	2.163696	54830.4322	6:40:3.76	+21:49:18.7	12	14.2	12	P	predict
DD	p	7	3	7	3.80206	28849.62	6:43:23.65	+19:14:52.8	13.2	15.2	13.2	P	predict
DG	p	6	4	12	3.131433	53111.193	6:49:25.07	+18:37:43.6	12.5	13.4	12.5	P	predict
DP	p	1	13	39	0.5584482	53765.4457	6:2:24.44	+27:24:53.3	13.4	14	14	P	predict
DP	s	1	13	39	0.5584482	53635.616	6:2:24.44	+27:24:53.3	13.4	14	14	P	predict
DV	p	9	1	15	4.40032	55263.469	6:26:58.34	+18:39:58.8	15.5	16.8	15.5	P	predict
DV	s	9	1	15	4.40032	29334.33	6:26:58.34	+18:39:58.8	15.5	16.8	15.5	P	predict
EF	p	7	3	18	6.10255	43925.544	6:51:1.82	+17:29:55	12.6	15.4	12.6	P	predict
EG	p	2	8	46	1.2734065	27344.595	6:57:51.88	+13:8:24.4	12.2	13.4	12.2	P	predict
EG	s	2	8	46	1.2734065	55263.4003	6:57:51.88	+13:8:24.4	12.2	13.4	12.2	P	predict
EL	p	1	13	37	1.428316	53670.5735	6:29:7.95	+20:48:42.5	12.8	13.6	13.6	P	predict
EL	s	1	13	37	1.428316	52694.3208	6:29:7.95	+20:48:42.5	12.8	13.6	13.6	P	predict
EN	p	1	11	22	1.2076255	28494.47	6:33:53.9	+18:41:18.1	13.6	14.2	13.8	P	predict
EN	s	1	11	22	1.2076255	55263.3056	6:33:53.9	+18:41:18.1	13.6	14.2	13.8	P	predict
ES	p	10	0	8	1.661124	29167.555	6:38:15.95	+17:23:40	15.2	16.2	15.2	P	predict
EY	p	1	10	32	0.941135	53464.3495	6:45:32.45	+17:13:30.6	12.8	13.5	13	P	predict
EY	s	1	10	32	0.941135	28251.81	6:45:32.45	+17:13:30.6	12.8	13.5	13	P	predict
FG	p	1	32	96	0.819128	27102.4	6:47:49.65	+16:51:47.6	11.6	12.6	11.6	P	predict
FG	s	1	32	96	0.819128	27102.81	6:47:49.65	+16:51:47.6	11.6	12.6	11.6	P	predict
FO	p	8	2	11	0.695617	45043.454	6:53:28.52	+12:53:49	14.7	15.8	14.7	P	predict
FQ	p	7	3	11	2.884747	28193.42	6:56:24.12	+17:58:13	13	14.2	13	P	predict
FS	p	9	1	10	4.32639	52623.303	6:57:21.23	+16:30:13.8	13.7	16.6	13.7	P	predict
FT	p	1	21	54	0.5876113	30328.723	6:57:24.6	+13:42:6.3	13.5	14.2	14.1	P	predict
FT	s	1	21	54	0.5876113	53762.3685	6:57:24.6	+13:42:6.3	13.5	14.2	14.1	P	predict
GM	p	8	2	19	1.35967	30375.535	7:5:29.82	+10:39:36.2	13.1	14	13.1	P	predict
GM	s	8	2	19	1.35967	30362.59	7:5:29.82	+10:39:36.2	13.1	14	13.1	P	predict
GP	p	4	6	26	1.594742	30327.695	7:9:29.18	+12:58:3.9	13.1	13.5	13.5	P	predict
GP	s	4	6	26	1.594742	30328.492	7:9:29.18	+12:58:3.9	13.1	13.5	13.5	P	predict
GR	p	9	1	15	0.5274471	28835.62	6:23:20.25	+20:49:58.3	15.4	16.1	15.4	V	predict
GT	p	10	0	17	0.857	30735.49	6:31:33.02	+20:17:24.9	15.1	16	15.1	P	predict
GV	p	8	2	4	1	30381.6	6:59:57.44	+14:16:35	14.9	15.6	14.9	P	predict
GW	p	1	34	188	0.6594445	25645.5798	7:52:28.98	+27:9:15.6	10.48	11.45	10.68	V	predict
GW	s	1	34	188	0.6594445	7969.416	7:52:28.98	+27:9:15.6	10.48	11.45	10.68	V	predict
GX	p	1	33	88	4.037926	55542.8837	6:46:9.13	+34:24:52.8	10.9	11.5	11.3	P	predict
GX	s	1	33	88	4.037926	54882.681	6:46:9.13	+34:24:52.8	10.9	11.5	11.3	P	predict
GZ	p	5	5	13	1.225009	53383.9423	6:24:6.84	+18:42:11.2	13.6	14.1	13.6	V	predict
GZ	s	5	5	13	1.225009	53342.9039	6:24:6.84	+18:42:11.2	13.6	14.1	13.6	V	predict
HH	p	9	1	29	2.53047	52622.087	6:37:6.92	+13:8:46.9	13.6	14.2	13.8	V	predict
HI	p	7	3	57	4.69161	53813.3338	7:18:14.35	+30:38:8.8	12	13.1	12	P	predict
HI	s	7	3	57	4.69161	47969.8828	7:18:14.35	+30:38:8.8	12	13.1	12	P	predict
HR	p	1	25	65	1.068964	30319.685	6:12:13.27	+24:42:42.5	11.4	12.5	11.7	P	predict
HR	s	1	25	65	1.068964	30320.219	6:12:13.27	+24:42:42.5	11.4	12.5	11.7	P	predict
HU	p	10	0	4	1.70026	29168.61	6:27:24.55	+23:49:31.4	15.7	16.6	15.7	P	predict
HY	p	5	5	16	0.351013	55602.45643	6:33:23.03	+22:7:19.8	16.7	17.5	17.5	P	predict
HY	s	5	5	16	0.351013	54499.39787	6:33:23.03	+22:7:19.8	16.7	17.5	17.5	P	predict
IM	p	7	3	11	1.427284	54454.5509	6:40:23.48	+21:43:34.6	15.2	16.3	15.2	P	predict
IM	s	7	3	11	1.427284	55893.9746	6:40:23.48	+21:43:34.6	15.2	16.3	15.2	P	predict
IN	p	9	1	9	1.131189	29250.59	6:40:50.85	+17:30:56.8	15	16.2	15	P	predict
IP	p	10	0	9	2.349082	51449.627	6:44:53.96	+22:16:35	13.8	15.2	14.5	P	predict
IP	s	10	0	9	2.349082	29169.752	6:44:53.96	+22:16:35	13.8	15.2	14.5	P	predict
IV	p	4	6	7	0.60269	53780.4264	7:17:39.94	+30:54:36.5	12.2	13.1	12.2	P	predict
IV	s	4	6	7	0.60269	53780.7277	7:17:39.94	+30:54:36.5	12.2	13.1	12.2	P	predict
KK	p	9	1	3	2.512192	52619.297	6:30:47.38	+18:32:40.8	12.78	14	12.78	V	predict
KM	p	8	2	13	0.954183	55263.4324	6:34:31.18	+19:58:29	13.5	13.9	13.5	P	predict
KQ	p	1	37	63	0.4079913	29231.515	6:43:47.43	+15:54:21	14	15	14.6	P	predict
KQ	s	1	37	63	0.4079913	29231.719	6:43:47.43	+15:54:21	14	15	14.6	P	predict
KV	p	1	112	152	0.358522	54843.3029	6:47:12.58	+15:43:34.1	12.4	12.9	12.85	P	predict
KV	s	1	112	152	0.358522	50515.4023	6:47:12.58	+15:43:34.1	12.4	12.9	12.85	P	predict
KX	p	10	0	7	2.93091	39918.445	6:51:48.91	+15:38:56.1	16	16.8	16	P	predict
KY	p	8	2	17	12.3315	55201.721	6:52:39.47	+18:2:15.2	12.7	14.6	12.7	P	predict
LM	p	10	0	10	3.68853	39941.321	7:5:5.69	+10:36:46	15.2	17.1	15.2	P	predict
LO	p	1	12	46	2.237783	53794.358	6:4:11.71	+25:19:59.9	11.5	12	11.5	P	predict
LO	s	1	12	46	2.237783	52620.638	6:4:11.71	+25:19:59.9	11.5	12	11.5	P	predict
LP	p	9	1	18	6.63126	27046.66	6:5:5.13	+26:40:53.4	12.5	15	12.5	P	predict
LQ	p	9	1	3	2.624072	53397.513	6:6:39.91	+23:32:43.9	13.2	13.8	13.2	P	predict
LT	p	9	1	1	1.3606	53386.894	6:18:25.61	+23:34:17.2	9.35	9.51	9.35	B	predict
MM	p	10	0	13	5.90324	30328.74	6:45:27.48	+17:48:37.6	14.9	16.7	14.9	P	predict
MN	p	10	0	11	3.78067	30377.6	6:46:10.74	+14:47:53	15.3	17	15.3	P	predict
MN	s	10	0	11	3.78067	30379.49	6:46:10.74	+14:47:53	15.3	17	15.3	P	predict
MQ	p	10	0	7	3.81989	30346.59	6:53:39.37	+15:19:55.6	15.3	16.7	15.3	P	predict
MU	p	1	9	24	0.7262005	53759.5548	6:59:24.19	+14:4:50.8	14.5	15	14.9	P	predict
MU	s	1	9	24	0.7262005	52621.969	6:59:24.19	+14:4:50.8	14.5	15	14.9	P	predict
MZ	p	10	0	11	1.290032	31441.55	7:4:35.31	+10:42:13.4	16.5	17.5	16.7	P	predict
OP	p	9	1	3	1.966915	52621.455	6:27:50.43	+17:0:30.2	14	14.5	14	P	predict
OQ	p	8	2	3	1.000053	38406.65	6:38:39.23	+19:53:40.1	15	15.5	15	P	predict
OR	p	8	2	3	0.502921	53383.704	6:44:47.59	+21:26:38.9	13.5	14	13.5	P	predict
OW	p	8	2	54	1258.556	52278	6:31:41.77	+17:4:56.3	9	10.9	9	B	predict
OW	s	8	2	54	1258.556	52570.9	6:31:41.77	+17:4:56.3	9	10.9	9	B	predict
QT	p	5	5	6	1.619865	48501.3112	6:48:16.47	+14:35:32.8	7.658	8.054	7.658	V	predict
QT	s	5	5	6	1.619865	48502.121	6:48:16.47	+14:35:32.8	7.658	8.054	7.658	V	predict
QW	p	1	14	19	0.358124	48500.306	6:50:46.07	+29:27:11.3	10.332	10.742	10.332	V	predict
QW	s	1	14	19	0.358124	54821.7408	6:50:46.07	+29:27:11.3	10.332	10.742	10.332	V	predict
V 335	p	9	1	2	1.76782	53383.9	7:2:5.53	+21:47:53.1	7.9	8.05	7.9	V	predict
V 337	p	8	2	3	1.91869	48500.8928	7:2:38.25	+13:46:58.6	8.519	8.887	8.519	V	predict
V 339	p	7	3	5	2.88033	48361.26	7:18:51.45	+29:6:3.2	8.86	9.37	8.86	V	predict
V 345	p	1	11	23	0.2747745	51185.3344	7:38:30.2	+33:42:41	7.82	7.88	7.88	V	predict
V 345	s	1	11	23	0.2747745	51185.4718	7:38:30.2	+33:42:41	7.82	7.88	7.88	V	predict
V 367	p	5	5	7	1.04985	55835.9778	6:46:43.57	+20:53:21.5	11.3	11.92	11.48	V	predict
V 367	s	5	5	7	1.04985	51497.445	6:46:43.57	+20:53:21.5	11.3	11.92	11.48	V	predict
V 372	p	8	2	3	0.569134	52327.425	6:50:55.83	+22:29:21.4	12.6	13	12.6	V	predict
V 373	p	9	1	2	1.60498	48496.256	7:11:55.3	+23:24:56	9.26	9.42	9.26	V	predict
V 373	s	9	1	2	1.60498	48497.059	7:11:55.3	+23:24:56	9.26	9.42	9.26	V	predict
V 380	p	6	4	5	0.336611	51613.752	6:16:12.8	+25:39:56	13.15	14	13.9	V	predict
V 380	s	6	4	5	0.336611	53408.4037	6:16:12.8	+25:39:56	13.15	14	13.9	V	predict
V 382	p	9	1	1	1.446303	53070.563	6:44:14.5	+16:24:4	10.22	10.57	10.55	V	predict
V 383	p	5	5	5	0.757285	53345.698	6:47:42.1	+23:56:12	12.78	13.6	13.2	V	predict
V 383	s	5	5	5	0.757285	53346.07664	6:47:42.1	+23:56:12	12.78	13.6	13.2	V	predict
V 386	p	8	2	2	3.30831	54504.2644	7:2:49.6	+17:20:27	12.24	14.5	12.35	V	predict
V 388	p	4	6	7	0.605945	51548.725	7:12:14.8	+18:23:49	12.33	13.6	12.58	V	predict
V 389	p	9	1	2	1.04776	48536.929	7:21:3.3	+25:40:8	8.74	8.92	8.78	V	predict
V 390	p	8	2	2	2.14948	52971.806	7:47:3.1	+14:53:23	11.32	11.95	11.83	V	predict
V 393	p	9	1	1	0.3639	53071.731	6:9:3.3	+24:23:15	16.9	17.14	16.9	V	predict
V 399	p	7	3	3	2.04642	55600.7428	6:30:18.03	+25:43:42.9	10.39	11.09	10.44	V	predict
V 399	s	7	3	3	2.04642	55833.013	6:30:18.03	+25:43:42.9	10.39	11.09	10.44	V	predict
V 400	p	10	0	1	11.3053	51627.72	6:37:36.03	+17:47:32.6	11.32	12.12	11.9	V	predict
V 401	p	8	2	2	2.197646	55895.8575	6:40:16.07	+20:28:43.6	12.42	13.4	12.55	V	predict
V 402	p	7	3	4	0.399252	51612.703	6:42:17.37	+20:16:48.3	11.72	12.35	12.35	V	predict
V 402	s	7	3	4	0.399252	51612.903	6:42:17.37	+20:16:48.3	11.72	12.35	12.35	V	predict
V 404	p	1	50	51	0.348705	52690.5127	6:47:3	+15:37:25	11.59	12.13	12.11	c	predict
V 404	s	1	50	51	0.348705	55578.3157	6:47:3	+15:37:25	11.59	12.13	12.11	c	predict
V 405	p	1	21	21	0.46211142	54507.4007	6:47:8	+15:38:37	10.88	11.04	10.94	V	predict
V 405	s	1	21	21	0.46211142	54856.5263	6:47:8	+15:38:37	10.88	11.04	10.94	V	predict
V 408	p	9	1	1	38.044	53462.58	6:50:7.35	+16:30:24.9	11.53	11.9	11.53	V	predict
V 409	p	9	1	1	0.5997	52678.7571	6:53:23.5	+19:10:24.8	13.6	14.3	13.6	V	predict
V 410	p	8	2	3	3.47041	51548.73	6:54:8	+17:2:3	10.77	11.2	10.77	V	predict
V 410	s	8	2	3	3.47041	55572.6863	6:54:8	+17:2:3	10.77	11.2	10.77	V	predict
V 411	p	9	1	1	0.43257	54155.742	6:54:32.6	+13:33:42	15.47	15.78	15.77	R	predict
V 412	p	9	1	1	0.32667	54155.699	6:54:46	+13:35:31	16.36	16.96	13.9	R	predict
V 413	p	7	3	3	0.532812	55590.5504	6:54:47.7	+13:36:49	14.55	15	14.7	p	predict
V 413	s	7	3	3	0.532812	54155.949	6:54:47.7	+13:36:49	14.55	15	14.7	p	predict
V 414	p	8	2	2	1.47597	55592.657	6:54:54.31	+18:12:50.3	10.61	10.83	10.71	V	predict
V 415	p	1	16	16	0.350606	53381.5558	6:55:57	+15:35:33	12.4	12.7	12.7	V	predict
V 415	s	1	16	16	0.350606	55978.6749	6:55:57	+15:35:33	12.4	12.7	12.7	V	predict
V 416	p	7	3	3	0.25614	53051.306	6:59:47.3	+22:29:48.6	12.5	13	12.5	R	predict
V 416	s	7	3	3	0.25614	54857.7415	6:59:47.3	+22:29:48.6	12.5	13	12.5	R	predict
V 417	p	9	1	1	0.39331	53007.73	6:59:48.4	+27:41:59	9.8	9.92	9.9	V	predict
V 421	p	9	1	1	0.4231	52999.336	7:12:7.3	+25:57:50	15	15.8	15	R	predict
V 422	p	9	1	1	7.5424	53783.665	7:12:41.66	+16:5:4.5	8.15	8.31	8.28	V	predict
V 425	p	9	1	2	4.243	51520.699	7:18:32.86	+14:59:44.2	12.6	13.2	12.78	R	predict
V 428	p	8	2	3	0.491507	51515.678	7:23:25.74	+26:7:32.2	10.93	11.33	10.93	V	predict
V 430	p	10	0	0	1	40000.5	7:38:59.3	+23:50:38	16.1	16.5	16.1	V	predict
V 431	p	10	0	0	0.254	40000.5	7:39:24.7	+23:56:25	17.5	17.7	17.5	V	predict
V 433	p	10	0	0	1	40000.5	7:40:17.1	+23:40:9	18.1	18.2	18.1	V	predict
V 435	p	1	13	13	0.336499	54173.379	7:54:57.7	+21:54:9.2	10.55	10.92	10.9	c	predict
V 435	s	1	13	13	0.336499	54544.3698	7:54:57.7	+21:54:9.2	10.55	10.92	10.9	c	predict
BrhV146	p	1	15	15	0.350606	53381.5558	6:55:57	+15:35:33	12.4	12.7	12.7	V	predict
BrhV146	s	1	15	15	0.350606	53381.7311	6:55:57	+15:35:33	12.4	12.7	12.7	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