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 Cep			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
U	p	1	26	1298	2.493081	53337.2143	1:2:18.34	+81:52:32.1	6.75	9.24	6.93	V	predict
U	s	1	26	1298	2.493081	51381.3993	1:2:18.34	+81:52:32.1	6.75	9.24	6.93	V	predict
RS	p	7	3	46	12.42	40862.607	5:6:3.2	+80:14:52.3	10.2	11.9	10.2	V	predict
SU	p	1	23	183	0.9014013	53387.342	21:46:40.62	+57:17:36.6	10	10.9	10.6	P	predict
SU	s	1	23	183	0.9014013	26325.9157	21:46:40.62	+57:17:36.6	10	10.9	10.6	P	predict
SY	p	7	3	13	8.34711	54950.45025	22:13:34.2	+62:31:40	12.05	12.98	12.7	V	predict
SY	s	7	3	13	8.34711	51056.5252	22:13:34.2	+62:31:40	12.05	12.98	12.7	V	predict
TV	p	8	2	19	3.857089	52196.338	22:9:53.93	+63:7:16.8	12.2	14.7	12.2	P	predict
VW	p	1	90	2067	0.2783115	39987.414	20:37:21.54	+75:36:1.5	7.23	7.68	7.56	V	predict
VW	s	1	90	2067	0.2783115	54557.4398	20:37:21.54	+75:36:1.5	7.23	7.68	7.56	V	predict
VZ	p	1	17	62	1.183364	43720.42	21:50:11.1	+71:26:38	9.74	10.15	9.93	V	predict
VZ	s	1	17	62	1.183364	52889.7163	21:50:11.1	+71:26:38	9.74	10.15	9.93	V	predict
WW	p	1	24	83	4.6008454	25029.518	22:18:27.85	+69:51:40.1	11.1	11.9	11.1	P	predict
WW	s	1	24	83	4.6008454	52084.7911	22:18:27.85	+69:51:40.1	11.1	11.9	11.1	P	predict
WX	p	1	11	40	3.3784535	52278.345	22:31:15.78	+63:31:21.6	8.7	9.29	9.14	V	predict
WX	s	1	11	40	3.3784535	52908.4199	22:31:15.78	+63:31:21.6	8.7	9.29	9.14	V	predict
WY	p	1	11	143	1.249057	25123.08	22:46:20.7	+67:42:22.4	10.8	11.7	11.5	P	predict
WY	s	1	11	143	1.249057	25123.7045	22:46:20.7	+67:42:22.4	10.8	11.7	11.5	P	predict
WZ	p	1	51	161	0.4174452	55503.67	23:22:24.19	+72:54:56.8	12.45	13.01	12.95	V	predict
WZ	s	1	51	161	0.4174452	54986.6771	23:22:24.19	+72:54:56.8	12.45	13.01	12.95	V	predict
XX	p	1	29	384	2.337325	55883.6629	23:38:20.29	+64:20:2.7	9.13	10.28	9.18	V	predict
XX	s	1	29	384	2.337325	55480.486	23:38:20.29	+64:20:2.7	9.13	10.28	9.18	V	predict
XY	p	2	8	52	2.774518	43791.316	23:52:32.93	+68:56:1.6	10.05	10.9	10.1	V	predict
XY	s	2	8	52	2.774518	43792.70326	23:52:32.93	+68:56:1.6	10.05	10.9	10.1	V	predict
XZ	p	7	3	51	5.09725	43297.811	22:32:25.08	+67:9:2.5	8	8.83	8.43	V	predict
XZ	s	7	3	51	5.09725	43300.3596	22:32:25.08	+67:9:2.5	8	8.83	8.43	V	predict
ZZ	p	1	12	245	2.141799	53229.5242	22:45:2.63	+68:7:58.5	8.6	9.55	8.74	V	predict
ZZ	s	1	12	245	2.141799	54738.4258	22:45:2.63	+68:7:58.5	8.6	9.55	8.74	V	predict
AH	p	5	5	65	1.774743	53993.3508	22:47:52.94	+65:3:43.8	6.78	7.07	7.03	V	predict
AH	s	5	5	65	1.774743	50464.3068	22:47:52.94	+65:3:43.8	6.78	7.07	7.03	V	predict
AI	p	4	6	32	4.22531	54382.4797	21:46:22.59	+56:55:1.8	9.18	9.86	9.48	V	predict
AI	s	4	6	32	4.22531	26552.454	21:46:22.59	+56:55:1.8	9.18	9.86	9.48	V	predict
AV	p	8	2	138	2.958285	55643.5478	5:54:26.59	+86:1:20.9	12.4	13.6	12.4	P	predict
BB	p	7	3	21	30.1861	51295.33	22:55:30.22	+64:0:31.1	12.1	13.2	12.1	P	predict
BE	p	1	21	72	0.4243943	53643.7392	22:41:20.8	+58:36:30.8	12.4	13.3	13	P	predict
BE	s	1	21	72	0.4243943	52863.4928	22:41:20.8	+58:36:30.8	12.4	13.3	13	P	predict
BR	p	7	3	42	3.1677136	26802.525	22:27:17.11	+66:10:0.2	12.5	15	12.5	P	predict
BU	p	6	4	16	1.41437	55083.346	22:32:15.56	+64:58:40.1	12.2	12.9	12.2	P	predict
BU	s	6	4	16	1.41437	54385.359	22:32:15.56	+64:58:40.1	12.2	12.9	12.2	P	predict
CM	p	1	9	64	1.858924	52879.5442	23:22:37.99	+65:17:58.4	12.1	13.7	12.1	P	predict
CM	s	1	9	64	1.858924	27160.39746	23:22:37.99	+65:17:58.4	12.1	13.7	12.1	P	predict
CO	p	1	10	52	4.13756	29043.457	0:54:45.09	+77:55:20.9	12	12.7	12.6	V	predict
CO	s	1	10	52	4.13756	52952.5544	0:54:45.09	+77:55:20.9	12	12.7	12.6	V	predict
CQ	p	5	5	149	1.641247	48524.41	22:36:53.95	+56:54:21	8.63	9.12	8.63	V	predict
CQ	s	5	5	149	1.641247	55075.45727	22:36:53.95	+56:54:21	8.63	9.12	8.63	V	predict
CW	p	1	19	114	2.72914	55844.7439	23:4:2.23	+63:23:48.8	7.6	8.04	8.01	V	predict
CW	s	1	19	114	2.72914	35374.809	23:4:2.23	+63:23:48.8	7.6	8.04	8.01	V	predict
DE	p	7	3	18	1.938823	52986.353	20:48:20.16	+59:9:55.6	14.1	16.3	14.1	P	predict
DH	p	10	0	2	2.110978	32759.279	22:46:54.11	+58:5:3.5	8.58	8.62	8.58	V	predict
DK	p	1	32	162	0.985908	53459.5687	21:58:34.2	+60:57:2	12.2	14.2	12.4	P	predict
DK	s	1	32	162	0.985908	33591.056	21:58:34.2	+60:57:2	12.2	14.2	12.4	P	predict
DL	p	1	12	72	1.630486	33946.598	22:0:25.21	+59:41:30.4	12.4	13.2	12.7	P	predict
DL	s	1	12	72	1.630486	50022.3774	22:0:25.21	+59:41:30.4	12.4	13.2	12.7	P	predict
DN	p	8	2	28	3.306158	54798.3753	22:13:32.92	+55:58:25	12	13	12	P	predict
DP	p	2	8	67	1.269964	54749.38239	23:8:21.13	+61:11:59.9	13.9	15	14.4	B	predict
DP	s	2	8	67	1.269964	33622.891	23:8:21.13	+61:11:59.9	13.9	15	14.4	B	predict
DT	p	10	0	3	5.53027	27697.493	20:33:22.13	+60:13:52.8	13.5	15.6	13.5	P	predict
DV	p	1	22	97	1.161975	49283.673	20:43:18.4	+72:22:30.4	11.4	12.2	11.4	P	predict
DV	s	1	22	97	1.161975	49284.253	20:43:18.4	+72:22:30.4	11.4	12.2	11.4	P	predict
DW	p	8	2	62	5.033804	51273.458	20:51:39.69	+62:48:50.2	11.7	12.7	11.7	P	predict
DW	s	8	2	62	5.033804	47394.8769	20:51:39.69	+62:48:50.2	11.7	12.7	11.7	P	predict
DY	p	9	1	8	1.574629	51335.243	23:32:5.44	+64:0:53.5	11.7	12	11.8	P	predict
DY	s	9	1	8	1.574629	29080.22131	23:32:5.44	+64:0:53.5	11.7	12	11.8	P	predict
EE	p	8	2	27	2050.05	52795	22:9:22.75	+55:45:24.2	10.72	12.15	10.72	V	predict
EE	s	8	2	27	2050.05	34568.765	22:9:22.75	+55:45:24.2	10.72	12.15	10.72	V	predict
EF	p	1	18	42	0.6061084	49221.332	4:45:39.08	+80:44:24.6	12	12.6	12.6	P	predict
EF	s	1	18	42	0.6061084	49221.635	4:45:39.08	+80:44:24.6	12	12.6	12.6	P	predict
EG	p	1	91	1257	0.5446227	52444.425	20:15:56.83	+76:48:35.8	9.31	10.21	9.6	V	predict
EG	s	1	91	1257	0.5446227	52444.6973	20:15:56.83	+76:48:35.8	9.31	10.21	9.6	V	predict
EI	p	10	0	66	8.43935	36820.4665	21:28:28.21	+76:24:12.6	7.54	8.06	7.98	V	predict
EI	s	10	0	66	8.43935	48133.4171	21:28:28.21	+76:24:12.6	7.54	8.06	7.98	V	predict
EK	p	1	20	157	4.427794	55469.6966	21:41:21.51	+69:41:34.1	7.99	9.32	8.06	B	predict
EK	s	1	20	157	4.427794	55737.7602	21:41:21.51	+69:41:34.1	7.99	9.32	8.06	B	predict
EM	p	1	10	55	0.806181	40134.727	21:53:48.1	+62:36:51.9	7.02	7.17	7.16	V	predict
EM	s	1	10	55	0.806181	40135.13	21:53:48.1	+62:36:51.9	7.02	7.17	7.16	V	predict
EO	p	1	11	105	1.833658	54568.54747	0:23:39.43	+78:46:55.6	12	12.8	12.3	P	predict
EO	s	1	11	105	1.833658	54569.46707	0:23:39.43	+78:46:55.6	12	12.8	12.3	P	predict
ER	p	9	1	14	0.2857369	41975.043	0:50:27.76	+85:15:9.1	15.67	16.34	16.27	V	predict
ER	s	9	1	14	0.2857369	54326.44999	0:50:27.76	+85:15:9.1	15.67	16.34	16.27	V	predict
EX	p	7	3	17	13.43444	52873.341	2:3:59.37	+78:33:21.8	11.4	11.8	11.6	P	predict
EY	p	5	5	23	5.3143	26427.575	3:40:4.06	+81:1:9	10.1	10.7	10.4	P	predict
EY	s	5	5	23	5.3143	26430.232	3:40:4.06	+81:1:9	10.1	10.7	10.4	P	predict
FH	p	9	1	31	3.141964	53379.6191	20:34:21.77	+64:38:40.5	11.8	12.5	12.1	P	predict
FH	s	9	1	31	3.141964	34601.07298	20:34:21.77	+64:38:40.5	11.8	12.5	12.1	P	predict
FL	p	9	1	12	2.261967	52502.5082	20:46:50.22	+56:54:28.1	14.3	16.5	14.3	P	predict
FS	p	10	0	9	1.347524	48950.349	20:58:59.88	+69:37:28.3	11.8	12.3	12	P	predict
GG	p	7	3	5	1.90319	55685.447	21:20:22.56	+67:25:51.8	13.9	15.7	13.9	P	predict
GI	p	1	17	95	1.03768	55082.4741	21:29:28.95	+65:14:21.1	11.4	12.5	11.9	P	predict
GI	s	1	17	95	1.03768	55102.708	21:29:28.95	+65:14:21.1	11.4	12.5	11.9	P	predict
GK	p	1	16	409	0.936164	38694.706	21:30:59.15	+70:49:23.6	6.89	7.37	7.31	V	predict
GK	s	1	16	409	0.936164	52919.2645	21:30:59.15	+70:49:23.6	6.89	7.37	7.31	V	predict
GS	p	1	12	194	1.471625	53258.2582	22:51:29.51	+57:0:17.9	10.2	11.1	10.2	P	predict
GS	s	1	12	194	1.471625	47415.171	22:51:29.51	+57:0:17.9	10.2	11.1	10.2	P	predict
GT	p	6	4	28	4.908778	53632.829	22:57:47.31	+68:24:26	8.2	9.1	8.6	V	predict
GT	s	6	4	28	4.908778	25630.70438	22:57:47.31	+68:24:26	8.2	9.1	8.6	V	predict
GW	p	1	95	174	0.3188312	38383.711	1:45:58.6	+80:4:55.3	11.4	12.1	12	P	predict
GW	s	1	95	174	0.3188312	38383.8704	1:45:58.6	+80:4:55.3	11.4	12.1	12	P	predict
HI	p	4	6	69	1.752931	46576.468	20:24:58.47	+61:33:56.2	12.3	13.8	12.3	P	predict
HI	s	4	6	69	1.752931	46717.597	20:24:58.47	+61:33:56.2	12.3	13.8	12.3	P	predict
HK	p	10	0	9	1.0513	51907.309	20:39:32.61	+56:49:3.3	14.2	14.8	14.4	P	predict
HK	s	10	0	9	1.0513	37642.73565	20:39:32.61	+56:49:3.3	14.2	14.8	14.4	P	predict
IM	p	3	7	43	0.921584	55875.6825	23:13:10.9	+62:42:5.6	13.2	14.2	13.6	P	predict
IM	s	3	7	43	0.921584	54841.21506	23:13:10.9	+62:42:5.6	13.2	14.2	13.6	P	predict
IO	p	1	16	169	1.2358075	54759.56	21:10:30.68	+57:43:8.5	11.4	12.6	11.7	P	predict
IO	s	1	16	169	1.2358075	30729.898	21:10:30.68	+57:43:8.5	11.4	12.6	11.7	P	predict
IP	p	1	12	58	0.8988975	29495.471	21:46:55.47	+68:52:49.6	11.5	12.1	12.1	P	predict
IP	s	1	12	58	0.8988975	53683.4691	21:46:55.47	+68:52:49.6	11.5	12.1	12.1	P	predict
IW	p	3	7	17	1.609416	32768.388	22:4:33.13	+55:27:36.9	13.6	15.6	13.7	P	predict
IW	s	3	7	17	1.609416	32769.193	22:4:33.13	+55:27:36.9	13.6	15.6	13.7	P	predict
IX	p	10	0	5	1.0970019	35336.354	22:7:17.48	+53:24:13.3	16.8	17.9	17	P	predict
KL	p	8	2	3	256.1	34724.7	22:10:22.88	+54:9:9.3	11.3	12.5	11.3	P	predict
KP	p	1	9	37	1.93511	53149.5204	22:11:58.44	+54:38:29.9	12.8	13.7	12.83	P	predict
KV	p	9	1	10	0.858222	33539.61	22:19:9.33	+55:49:39.7	14.1	14.8	14.3	P	predict
LL	p	7	3	47	0.7841514	52986.2651	23:4:19.32	+74:40:24.5	13.5	15	14	P	predict
LL	s	7	3	47	0.7841514	27119.85208	23:4:19.32	+74:40:24.5	13.5	15	14	P	predict
LM	p	8	2	7	3.312825	30517.339	20:43:58.21	+62:30:28.8	12.6	14.2	12.8	P	predict
LP	p	3	7	33	0.6930625	53266.5529	21:19:50.04	+60:43:26.4	13.7	15	13.8	P	predict
LP	s	3	7	33	0.6930625	30517.8115	21:19:50.04	+60:43:26.4	13.7	15	13.8	P	predict
LY	p	10	0	6	1.948005	51299.384	21:59:0.95	+62:35:20.5	13.9	14.2	13.9	P	predict
LZ	p	10	0	2	3.07047	41931.868	22:2:4.57	+58:0:1.3	5.56	5.66	5.56	B	predict
MT	p	5	5	12	1.2064227	52908.6117	22:18:34.28	+56:31:24.1	14.6	15.5	15.5	P	predict
MT	s	5	5	12	1.2064227	52928.5168	22:18:34.28	+56:31:24.1	14.6	15.5	15.5	P	predict
NN	p	5	5	100	2.058306	44507.4033	23:2:5.62	+62:30:43.5	8.2	8.58	8.52	V	predict
NN	s	5	5	100	2.058306	52935.143	23:2:5.62	+62:30:43.5	8.2	8.58	8.52	V	predict
NR	p	3	7	25	0.949549	38289.586	0:26:11.37	+69:28:21.9	13	13.6	13.6	P	predict
NR	s	3	7	25	0.949549	38290.06	0:26:11.37	+69:28:21.9	13	13.6	13.6	P	predict
NS	p	4	6	15	0.7763795	30639.37	20:45:23.38	+60:43:13.3	12.2	12.6	12.24	P	predict
NS	s	4	6	15	0.7763795	30639.758	20:45:23.38	+60:43:13.3	12.2	12.6	12.24	P	predict
NU	p	6	4	36	4.98061	30633.378	21:31:56.12	+61:30:0.4	11.9	12.7	11.9	P	predict
NW	p	4	6	10	2.75295	53151.5833	22:13:47.95	+55:44:20.9	10.6	11.5	10.7	P	predict
NY	p	9	1	17	15.27568	41903.8136	22:58:39.8	+63:4:37.7	7.4	7.55	7.4	V	predict
OT	p	2	8	38	0.4812313	49169.4362	0:29:18.09	+82:10:9	12.7	13.4	13.3	B	predict
OT	s	2	8	38	0.4812313	52252.4469	0:29:18.09	+82:10:9	12.7	13.4	13.3	B	predict
PX	p	8	2	87	3.126952	55685.5017	21:35:57.99	+65:51:42.4	12	13.7	12	P	predict
QZ	p	10	0	46	3.280848	36482.405	23:37:12.4	+66:55:10.3	11.3	11.9	11.9	P	predict
QZ	s	10	0	46	3.280848	36484.045	23:37:12.4	+66:55:10.3	11.3	11.9	11.9	P	predict
V 338	p	3	7	25	2.10442	55436.3741	21:45:32.21	+61:12:29.5	9.3	10.11	9.52	V	predict
V 338	s	3	7	25	2.10442	54789.26448	21:45:32.21	+61:12:29.5	9.3	10.11	9.52	V	predict
V 357	p	3	7	38	1.309233	46507.475	2:4:10.05	+78:50:45.5	13.3	15	13.3	V	predict
V 357	s	3	7	38	1.309233	54934.35859	2:4:10.05	+78:50:45.5	13.3	15	13.3	V	predict
V 358	p	1	10	213	0.47283	45241.476	2:27:29.04	+81:10:3.4	13.5	14.5	13.5	P	predict
V 358	s	1	10	213	0.47283	45241.712	2:27:29.04	+81:10:3.4	13.5	14.5	13.5	P	predict
V 383	p	8	2	13	1.495747	48490.374	21:51:47.64	+61:56:34.5	7.27	7.58	7.27	V	predict
V 383	s	8	2	13	1.495747	55434.3814	21:51:47.64	+61:56:34.5	7.27	7.58	7.27	V	predict
V 397	p	1	24	32	2.086835	48501.18	0:3:23.97	+73:10:28.2	7.393	7.811	7.393	V	predict
V 397	s	1	24	32	2.086835	54368.44157	0:3:23.97	+73:10:28.2	7.393	7.811	7.393	V	predict
V 405	p	8	2	4	1.37374	48500.968	2:44:34.35	+79:11:55.7	8.753	8.958	8.753	V	predict
V 405	s	8	2	4	1.37374	55124.4902	2:44:34.35	+79:11:55.7	8.753	8.958	8.753	V	predict
V 424	p	10	0	2	4.93184	51325.589	21:24:23.25	+56:21:41.6	8.921	9.285	8.921	V	predict
V 427	p	10	0	1	1.91141	48500.132	21:27:32.61	+59:17:40.9	9.166	9.277	9.166	V	predict
V 428	p	10	0	1	8.22	48504.81	21:30:40.75	+61:50:13.2	8.288	8.62	8.288	V	predict
V 434	p	10	0	2	1.52002	48500.228	21:39:49.72	+65:44:0.7	9.123	9.317	9.123	V	predict
V 441	p	10	0	2	1.64909	48500.93	22:0:36.64	+75:4:22.5	8.74	9.223	8.74	V	predict
V 442	p	10	0	1	2.12919	48500.092	22:4:12.86	+59:52:1.8	6.928	7.062	6.928	V	predict
V 443	p	9	1	3	2.09658	51324.226	22:4:27.83	+62:24:27.5	8.48	8.687	8.48	V	predict
V 444	p	10	0	1	1.43246	48500.931	22:6:13.57	+56:20:36.2	6.332	6.401	6.332	V	predict
V 446	p	10	0	1	3.8084	48503.047	22:8:45.59	+61:1:20.7	7.309	7.451	7.309	V	predict
V 448	p	10	0	1	0.6324	51300.215	22:12:9.76	+53:41:55.6	9.59	9.726	9.59	V	predict
V 453	p	10	0	1	1.18475	48501.0739	22:52:45.8	+60:54:58.6	7.536	7.659	7.536	V	predict
V 454	p	10	0	2	5.5845	48313.1	22:53:54.04	+62:35:48.4	9.04	9.3	9.04	V	predict
V 462	p	10	0	1	1.80961	48500.6879	23:51:49.66	+81:50:12.6	8.663	8.775	8.663	V	predict
V 489	p	7	3	18	2.55375	52504.438	21:35:32.64	+65:57:33.8	13.96	14.41	13.96	V	predict
V 489	s	7	3	18	2.55375	52112.438	21:35:32.64	+65:57:33.8	13.96	14.41	13.96	V	predict
V 698	p	8	2	4	6.6185	50421.4411	22:45:52.36	+57:43:7	12.75	13.5	12.75	V	predict
V 698	s	8	2	4	6.6185	50424.7503	22:45:52.36	+57:43:7	12.75	13.5	12.75	V	predict
V 699	p	9	1	4	0.805074	50433.3516	22:46:0.66	+57:46:49.5	11.6	11.95	11.6	V	predict
V 699	s	9	1	4	0.805074	50433.75414	22:46:0.66	+57:46:49.5	11.6	11.95	11.6	V	predict
V 710	p	10	0	1	35.928	51018.846	23:4:46.7	+64:5:25.3	7.4	7.7	7.4	V	predict
V 711	p	1	16	21	1.304357	54205.4277	23:5:15.01	+63:23:44.6	9.49	9.73	9.49	V	predict
V 711	s	1	16	21	1.304357	53989.55698	23:5:15.01	+63:23:44.6	9.49	9.73	9.49	V	predict
V 731	p	1	31	31	6.068453	53137.4429	23:37:43.3	+64:18:11.6	12	12.8	12.6	V	predict
V 731	s	1	31	31	6.068453	54718.326	23:37:43.3	+64:18:11.6	12	12.8	12.6	V	predict
V 734	p	5	5	6	3.765974	51482.647	0:7:38.6	+76:8:28	11.05	11.42	11.4	V	predict
V 734	s	5	5	6	3.765974	55845.6358	0:7:38.6	+76:8:28	11.05	11.42	11.4	V	predict
V 735	p	10	0	1	2.5035	51481.644	21:2:23.9	+60:4:42	11.39	11.87	11.82	V	predict
V 736	p	7	3	4	0.857849	51288.827	21:16:29.1	+55:23:9	9.96	10.42	10.4	V	predict
V 736	s	7	3	4	0.857849	51289.256	21:16:29.1	+55:23:9	9.96	10.42	10.4	V	predict
V 737	p	9	1	2	0.298755	51448.669	21:23:48.3	+63:33:28	11.95	12.33	12.3	V	predict
V 737	s	9	1	2	0.298755	55685.4877	21:23:48.3	+63:33:28	11.95	12.33	12.3	V	predict
V 738	p	6	4	5	1.298268	51428.659	21:29:55.1	+58:56:16	10	10.29	10.25	V	predict
V 738	s	6	4	5	1.298268	51429.30813	21:29:55.1	+58:56:16	10	10.29	10.25	V	predict
V 741	p	10	0	1	6.00911	51450.602	22:13:48.1	+67:10:26	9.09	9.25	9.17	V	predict
V 743	p	8	2	3	4.6624	55602.6154	22:18:6.2	+55:54:16	10.53	10.85	10.8	c	predict
V 744	p	7	3	4	0.624553	51426.642	22:24:5.1	+68:44:59	12.2	12.54	12.4	V	predict
V 744	s	7	3	4	0.624553	55484.6798	22:24:5.1	+68:44:59	12.2	12.54	12.4	V	predict
V 745	p	10	0	1	2.91935	51353.855	22:37:51.8	+85:6:15	13.1	13.85	13.1	V	predict
V 746	p	9	1	3	1.25996	51338.882	22:42:20.5	+65:54:43	11.4	11.85	11.4	V	predict
V 747	p	9	1	1	5.33146	55104.4202	0:1:46.9	+67:30:25	10.1	10.26	10.1	V	predict
V 748	p	10	0	1	2.50931	51465.569	0:6:31.04	+79:11:42	13.19	14.7	13.28	R	predict
V 749	p	10	0	1	5.1398	51358.71	0:7:48.63	+70:40:22	10.62	11	10.9	R	predict
V 750	p	10	0	2	18.8805	51465.65	0:14:50.85	+71:49:45	11.42	11.86	11.42	c	predict
V 750	s	10	0	2	18.8805	51474.01406	0:14:50.85	+71:49:45	11.42	11.86	11.42	c	predict
V 751	p	10	0	1	1.16374	51322.565	0:14:52.53	+75:39:18.3	13.4	14	13.7	R	predict
V 752	p	10	0	1	0.45033	51359.03	0:14:56.12	+72:18:30.7	13.05	13.5	13.4	c	predict
V 753	p	10	0	1	68.13	51454.66	0:15:42.33	+78:0:28.6	11.22	11.51	11.45	R	predict
V 754	p	9	1	2	0.40905	51335.008	7:27:55.25	+85:25:43.6	11.924	11.924	11.924	R	predict
V 755	p	10	0	1	0.39217	51449.762	0:18:24.24	+73:7:24.2	12.63	12.95	12.95	R	predict
V 756	p	10	0	1	1.72267	51454.597	0:20:2.64	+80:50:43.8	13.4	14.15	14.15	R	predict
V 757	p	10	0	1	0.34385	51606.822	0:20:24.91	+78:14:27.9	14	14.8	14.7	c	predict
V 758	p	10	0	1	3.1778	51408.84	0:23:41.95	+83:21:57.5	12.95	13.7	13.5	R	predict
V 796	p	1	25	25	0.392966	53433.832	1:41:36.5	+80:4:19.4	12.2	12.85	12.2	V	predict
V 796	s	1	25	25	0.392966	55103.3507	1:41:36.5	+80:4:19.4	12.2	12.85	12.2	V	predict
V 797	p	1	19	19	0.27045	53715.412	1:42:47.8	+80:7:52.6	14.6	15	14.6	c	predict
V 797	s	1	19	19	0.27045	55083.4846	1:42:47.8	+80:7:52.6	14.6	15	14.6	c	predict
V 798	p	10	0	2	16.08	51607.605	1:54:34.92	+79:28:9.8	11.9	12.5	11.9	c	predict
V 798	s	10	0	2	16.08	51611.33556	1:54:34.92	+79:28:9.8	11.9	12.5	11.9	c	predict
V 800	p	10	0	1	1.218	51486.547	2:17:59.88	+81:10:5.5	13	13.7	13	R	predict
V 801	p	9	1	2	2.01529	51542.57	2:21:26.58	+78:10:21.6	12.9	13.4	13.1	R	predict
V 802	p	10	0	1	0.34698	51455.86	2:34:25	+79:37:39	13.3	13.7	13.3	c	predict
V 803	p	10	0	1	0.41947	51501.722	2:56:18.19	+82:18:23.5	13.8	14.2	14.2	R	predict
V 804	p	8	2	3	0.347592	55480.9135	2:58:41.32	+84:49:4.1	12.94	13.45	13.45	R	predict
V 804	s	8	2	3	0.347592	55849.8828	2:58:41.32	+84:49:4.1	12.94	13.45	13.45	R	predict
V 805	p	10	0	1	6.2966	51598.585	3:31:11.46	+79:0:15.7	12.37	12.87	12.46	R	predict
V 806	p	10	0	1	1.35263	51473.578	4:19:37.64	+80:35:45.7	11.09	11.35	11.34	R	predict
V 808	p	10	0	1	0.484564	51352.35	5:20:45.91	+85:11:55.8	11.55	11.92	11.78	R	predict
G4487.0347	p	1	10	12	1.98873	51504.666	23:46:10.54	+71:29:55.3	11.52	11.96	11.52	c	predict
G4487.0347	s	1	10	12	1.98873	55093.4725	23:46:10.54	+71:29:55.3	11.52	11.96	11.52	c	predict
G4589.2999	p	1	12	12	1.68864	54377.38222	20:15:0.22	+76:54:18.3	10.59	10.59	10.59	V	predict
G4589.2999	s	1	12	12	1.68864	54378.227	20:15:0.22	+76:54:18.3	10.59	10.59	10.59	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.:

VW Boo (M. Urbaník)

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:

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