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 Cen			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
RR	p	9	1	16	0.60569029	51996.553	14:16:57.28	-57:51:15.5	7.27	7.68	7.63	V	predict
RR	s	9	1	16	0.60569029	24231.40095	14:16:57.28	-57:51:15.5	7.27	7.68	7.63	V	predict
RZ	p	10	0	3	1.875927	51985.383	13:1:54.98	-64:37:9.2	8.95	9.6	9.4	V	predict
SS	p	9	1	5	2.478725	51875.875	13:13:36.88	-64:8:55.1	9.5	11.3	9.6	V	predict
ST	p	10	0	2	1.223484	51994.381	11:9:57.21	-52:29:16	10.62	11.34	11.3	V	predict
SU	p	10	0	3	5.354439	29253.83	11:11:8.53	-47:50:17.1	9.1	10.2	9.2	V	predict
SV	p	3	7	24	1.65766	49017.73	11:47:57	-60:33:54	8.71	9.98	9.45	V	predict
SV	s	3	7	24	1.65766	51541.6431	11:47:57	-60:33:54	8.71	9.98	9.45	V	predict
SW	p	10	0	3	5.219387	29236.591	12:17:46.85	-49:43:39.8	10	11.8	10	V	predict
SY	p	10	0	3	6.63114	27892.6234	13:41:51.97	-61:46:11	11.1	12	11.1	V	predict
SZ	p	10	0	3	4.107983	41386.7466	13:50:35.1	-58:29:57	8.3	8.9	8.7	P	predict
VZ	p	10	0	4	4.928772	29125.519	11:52:28.77	-61:31:26.9	8.34	8.6	8.4	B	predict
WZ	p	10	0	2	3.611638	51881.92	13:19:32.9	-62:54:47	13.7	14.8	14.2	P	predict
AB	p	10	0	2	46.85722	51952.63	11:26:20.92	-58:24:29.7	10.6	13.2	10.6	P	predict
AE	p	10	0	1	2.1151	51871.285	11:26:20.92	-58:24:29.7	10.6	12	10.6	P	predict
AR	p	10	0	2	8.968633	23893.2	11:8:13.47	-56:25:14.4	12.5	14.1	12.5	P	predict
AS	p	10	0	2	0.3052373	51869.813	11:13:5.95	-57:7:19.1	13	13.2	13.2	P	predict
BD	p	7	3	5	1.2011287	28693.326	14:23:54.19	-59:51:40.2	10.6	11.4	11.1	V	predict
BD	s	7	3	5	1.2011287	52835.4206	14:23:54.19	-59:51:40.2	10.6	11.4	11.1	V	predict
BF	p	10	0	14	3.693331	24262.28	11:36:16	-61:28:2	8.5	9.4	8.8	P	predict
BF	s	10	0	14	3.693331	51531.9907	11:36:16	-61:28:2	8.5	9.4	8.8	P	predict
BG	p	9	1	3	0.7431185	23990.237	11:37:19.96	-64:1:36	11.8	12.1	12.1	V	predict
BG	s	9	1	3	0.7431185	23990.609	11:37:19.96	-64:1:36	11.8	12.1	12.1	V	predict
BH	p	9	1	31	0.791585	31748.7478	11:39:9.38	-63:24:36.9	10.03	11.16	10.03	V	predict
BH	s	9	1	31	0.791585	31749.14359	11:39:9.38	-63:24:36.9	10.03	11.16	10.03	V	predict
BM	p	10	0	2	4.369974	51879.32	13:17:38.37	-56:16:49.4	13.2	16	13.2	P	predict
BP	p	10	0	2	2.170361	24644.722	13:19:10.36	-49:54:47.1	12.2	16	12.2	P	predict
CQ	p	9	1	3	6.30227	51879.76	13:8:3.43	-55:29:18.2	11.7	12.5	11.7	P	predict
CT	p	10	0	2	16.39403	52127.687	13:10:43.05	-58:16:38.6	10.3	13	10.3	P	predict
CX	p	10	0	2	3.016859	27953.38	13:12:14.91	-56:59:21.7	13.5	14.7	13.5	P	predict
CY	p	10	0	2	1.348327	51877.332	13:12:12.99	-52:52:52.4	13.3	16.1	13.3	P	predict
DI	p	10	0	3	3.54957	28295.4584	13:15:9.68	-55:58:7.5	11.8	12.5	12.3	V	predict
DI	s	10	0	3	3.54957	28297.23319	13:15:9.68	-55:58:7.5	11.8	12.5	12.3	V	predict
DK	p	9	1	3	9.47523	52138.194	13:17:24.47	-58:23:21.4	12.3	13.6	12.3	V	predict
DN	p	10	0	2	0.739009	52030.93	13:20:22.13	-58:2:8.8	12.9	13.6	12.9	P	predict
DP	p	9	1	2	5.11997	25357.379	13:20:38.37	-52:9:29.8	14	14.7	14	P	predict
DV	p	9	1	2	1.20591	51885.318	13:24:19.32	-53:29:7	11.62	12.75	11.62	V	predict
EH	p	9	1	2	1.818567	52635.066	13:29:3.93	-54:44:57.1	12.9	13.7	12.9	P	predict
EO	p	10	0	2	9.425685	29019.9662	13:31:42.5	-58:23:36.7	11	13.1	11	P	predict
EP	p	5	5	6	0.925452	52635.663	13:31:46.05	-57:33:45.8	11.4	12.1	11.6	V	predict
FK	p	10	0	2	2.191333	27633.272	13:41:52.93	-56:26:41	13.3	15	13.3	P	predict
FW	p	10	0	1	8.514	51961.354	13:45:23.54	-56:21:53.9	12.4	12.9	12.4	P	predict
GX	p	10	0	2	5.576295	28360.15	13:50:54.49	-57:40:23.2	14	16	14	P	predict
IN	p	10	0	1	76.3483	51858.466	13:59:14.46	-52:10:43.2	14.6	16	14.6	P	predict
IQ	p	10	0	2	2.359523	51883.602	14:0:34.44	-54:16:15.6	12.7	15.7	12.7	P	predict
IV	p	9	1	6	19.13645	24464.62	11:28:10.39	-60:10:27	10.5	11	10.5	V	predict
IV	s	9	1	6	19.13645	24474.1884	11:28:10.39	-60:10:27	10.5	11	10.5	V	predict
IY	p	9	1	3	20.45865	24679.48	11:38:4.43	-63:6:4	11.5	12	11.5	V	predict
KL	p	9	1	2	5.29649	24708.483	11:46:1.87	-62:44:7.6	12.3	13.6	12.3	P	predict
KM	p	9	1	2	0.7733255	52782.441	11:49:17.02	-62:4:6.1	13	13.4	13.3	P	predict
LL	p	10	0	2	2.091803	25782.2934	12:14:58.91	-40:7:31.4	13	14.4	13.1	P	predict
LP	p	9	1	3	2.47239	25994.2848	12:22:16.86	-41:46:10	10.3	11.7	10.3	V	predict
LR	p	10	0	2	2.095599	24608.5402	11:23:48.8	-60:49:54.2	12.15	13.28	12.3	V	predict
LT	p	10	0	15	1.625913	47628.121	11:29:0.5	-60:52:50.4	9.2	9.6	9.6	P	predict
LT	s	10	0	15	1.625913	47628.934	11:29:0.5	-60:52:50.4	9.2	9.6	9.6	P	predict
LW	p	10	0	2	1.002571	52241.772	11:37:31.95	-63:20:51.7	8.9	9.65	9.6	V	predict
LX	p	9	1	2	4.337145	52660.803	11:40:3.22	-59:15:6.9	13.5	13.9	13.55	P	predict
LZ	p	10	0	7	2.757724	26096.384	11:50:32.46	-60:47:38	8.1	8.5	8.5	V	predict
LZ	s	10	0	7	2.757724	26097.763	11:50:32.46	-60:47:38	8.1	8.5	8.5	V	predict
MM	p	9	1	3	2.094509	51868.946	11:54:55.89	-60:50:42	12.1	12.5	12.4	V	predict
MM	s	9	1	3	2.094509	24861.29525	11:54:55.89	-60:50:42	12.1	12.5	12.4	V	predict
MN	p	6	4	14	3.489132	51872.135	11:28:2.98	-61:24:41.1	8.6	9	8.7	P	predict
MN	s	6	4	14	3.489132	24920.3246	11:28:2.98	-61:24:41.1	8.6	9	8.7	P	predict
MO	p	8	2	10	9.657305	52657.835	11:42:1.18	-61:40:21.3	9.7	10	9.7	V	predict
MO	s	8	2	10	9.657305	24299.158	11:42:1.18	-61:40:21.3	9.7	10	9.7	V	predict
MP	p	9	1	9	2.993469	29113.35	11:43:45.75	-61:44:36.1	9.7	10.4	10	P	predict
MP	s	9	1	9	2.993469	45093.989	11:43:45.75	-61:44:36.1	9.7	10.4	10	P	predict
MQ	p	8	2	10	3.686972	52658.395	11:44:15.58	-61:42:59	10	10.4	10.4	V	predict
MQ	s	8	2	10	3.686972	29115.23047	11:44:15.58	-61:42:59	10	10.4	10.4	V	predict
MR	p	9	1	8	3.913805	52663.7	11:45:9.69	-60:58:10.7	10.2	10.8	10.5	P	predict
MR	s	9	1	8	3.913805	24298.39686	11:45:9.69	-60:58:10.7	10.2	10.8	10.5	P	predict
MW	p	10	0	2	2.281536	52226.652	12:28:23.14	-48:20:30.7	12	14	12	P	predict
NP	p	10	0	3	2.853001	27946.241	13:16:37.97	-62:12:47.8	10.4	11.2	10.8	V	predict
NQ	p	9	1	2	1.320337	52832.371	13:17:0.83	-58:56:7.3	13.7	14.3	13.7	P	predict
NR	p	10	0	2	0.961701	51877.455	13:19:27.22	-60:4:20.3	14.2	14.7	14.2	P	predict
NV	p	9	1	2	2.505348	26474.41	13:23:1.05	-56:48:26.1	13.4	14.1	13.4	P	predict
NX	p	10	0	2	1.760504	24700.51	13:24:33.31	-62:42:2	13	13.6	13	P	predict
NY	p	9	1	3	1.295204	51952.598	13:25:47.98	-62:55:4.5	12	13	12.1	V	predict
OP	p	10	0	2	0.4623127	28403.208	13:26:41.97	-58:46:6.1	13.1	13.8	13.8	P	predict
OP	s	10	0	2	0.4623127	28403.43916	13:26:41.97	-58:46:6.1	13.1	13.8	13.8	P	predict
OU	p	10	0	3	2.01405	27904.614	13:35:0.56	-61:58:18.6	10.2	10.9	10.6	V	predict
OV	p	9	1	3	1.1371997	51902.945	13:35:56.47	-62:51:5.7	11.3	11.9	11.8	V	predict
OZ	p	9	1	2	0.3557686	52490.737	13:46:49.76	-59:15:57.9	12.6	13.1	12.6	P	predict
PQ	p	8	2	4	1.0571755	52433.293	13:50:21.9	-63:46:57.8	10.7	11.7	10.7	V	predict
PV	p	9	1	3	1.917337	51971.192	13:56:35.56	-58:47:16.1	11.4	12.5	11.4	P	predict
PW	p	9	1	3	2.503403	51884.567	13:56:40.01	-57:35:34.9	11.3	11.8	11.3	P	predict
QR	p	10	0	2	1.144324	52436.49	13:59:51.94	-59:38:43.6	13.1	13.7	13.1	P	predict
QS	p	10	0	2	4.938837	52408.422	14:2:13.78	-62:47:51.8	12.1	13.7	12.1	P	predict
QT	p	10	0	2	4.59634	28941.973	14:3:26.06	-62:35:52.3	13.2	14.7	13.4	P	predict
V 337	p	9	1	3	1.8645225	26479.37	14:17:10.77	-63:1:44	12.1	12.7	12.1	P	predict
V 343	p	10	0	9	0.58765	51870.078	11:26:53.28	-62:11:54.9	11.7	12.3	12.1	P	predict
V 343	s	10	0	9	0.58765	51554.795	11:26:53.28	-62:11:54.9	11.7	12.3	12.1	P	predict
V 346	p	8	2	10	6.32212	21963.674	11:42:49.67	-62:26:5.4	8.48	8.9	8.84	B	predict
V 346	s	8	2	10	6.32212	21966.83513	11:42:49.67	-62:26:5.4	8.48	8.9	8.84	B	predict
V 348	p	9	1	2	2.1523885	52630.501	11:48:28.95	-43:46:53.3	10.7	13.4	10.7	P	predict
V 349	p	10	0	2	0.4556303	25362.3752	11:49:48.84	-41:6:1.4	13.9	14.5	14.5	P	predict
V 350	p	9	1	3	3.216929	30868.561	11:50:11.07	-63:39:10.5	10.3	10.8	10.5	V	predict
V 353	p	9	1	2	6.685303	52625.325	11:51:41.7	-45:4:58.6	13	15.3	13	P	predict
V 365	p	10	0	2	9.55001	51939.12	12:9:13.82	-48:28:21.2	14	15	14	P	predict
V 379	p	8	2	5	1.8746863	51978.289	13:25:21.29	-59:46:53.3	8.8	9.6	8.9	P	predict
V 380	p	9	1	3	1.0872055	27807.601	13:27:23.39	-61:52:26.3	9.7	10.2	10	P	predict
V 384	p	8	2	5	12.63328	52660.109	11:39:17.31	-62:10:29.2	11.6	12.2	12	V	predict
V 384	s	8	2	5	12.63328	25062.689	11:39:17.31	-62:10:29.2	11.6	12.2	12	V	predict
V 385	p	10	0	2	1.0626635	25361.4638	11:40:33.93	-48:39:22.5	12.9	13.5	13	P	predict
V 393	p	10	0	2	3.185768	51995.438	12:24:46.73	-44:33:53.2	13.3	13.9	13.3	P	predict
V 399	p	10	0	2	1.746648	51984.862	13:22:0.87	-59:46:6.6	13	13.7	13.1	P	predict
V 402	p	9	1	3	3.719832	51977.358	13:28:23.32	-63:35:2.4	9.2	10.1	9.2	V	predict
V 404	p	9	1	2	2.2742	51904.725	13:32:43.27	-60:2:4.3	12.25	12.9	12.25	V	predict
V 406	p	10	0	2	2.83	52432.735	13:41:29.85	-63:55:44.6	12.21	12.64	12.21	V	predict
V 413	p	10	0	2	4.013	51900.518	14:4:40.59	-58:53:32.2	9.8	10.26	9.8	V	predict
V 416	p	9	1	3	8.21074	30794.34	14:15:45.28	-60:43:53.5	10.6	11.1	10.6	V	predict
V 441	p	10	0	2	2.022476	51903.71	11:24:0.23	-58:53:3.6	13.1	14.6	13.1	P	predict
V 443	p	10	0	2	8.893155	25307.94	11:25:22.46	-59:37:39.6	12.8	15.3	12.8	P	predict
V 448	p	10	0	1	0.33749	51984.618	12:35:40.45	-35:38:10.6	13.6	14.3	13.6	P	predict
V 472	p	10	0	1	0.422705	52137.332	12:49:12.75	-34:15:52.8	12.7	13.2	12.7	P	predict
V 495	p	9	1	3	33.48735	51863.698	13:1:34.81	-56:5:30.9	9.9	10.8	10.1	V	predict
V 498	p	10	0	2	0.7575157	28275.35	13:42:25.06	-45:5:54.1	10.3	11.3	10.3	P	predict
V 508	p	10	0	2	0.3293644	25707.535	14:14:56.69	-41:35:53.5	12.7	13.2	13.2	P	predict
V 508	s	10	0	2	0.3293644	51887.891	14:14:56.69	-41:35:53.5	12.7	13.2	13.2	P	predict
V 512	p	10	0	1	1.94468	51888.663	14:19:29.9	-38:42:45.3	11.5	12	11.5	P	predict
V 536	p	10	0	2	1.2926355	26507.27	14:37:50.96	-37:34:33.6	13.6	14.5	13.6	P	predict
V 576	p	10	0	3	0.378016	43941.474	11:56:12.81	-35:59:31.1	12.6	13.4	12.6	P	predict
V 576	s	10	0	3	0.378016	43941.663	11:56:12.81	-35:59:31.1	12.6	13.4	12.6	P	predict
V 585	p	10	0	2	0.6142582	27958.214	12:3:7.17	-40:39:22	12.8	13.4	13	P	predict
V 593	p	10	0	21	0.7553556	27621.2693	13:17:13.34	-62:37:33.5	10.3	11	11	V	predict
V 593	s	10	0	21	0.7553556	27621.64698	13:17:13.34	-62:37:33.5	10.3	11	11	V	predict
V 594	p	10	0	2	0.3170973	52414.431	13:23:37.78	-47:11:6.9	13.7	14.5	14.4	P	predict
V 600	p	9	1	2	1.60523	51555.025	12:38:40.86	-37:33:30	12.85	14.7	12.85	V	predict
V 602	p	10	0	1	3.6565	52126.061	12:59:59.32	-58:30:53.3	10	11.5	10	P	predict
V 606	p	10	0	9	1.4950935	51968.046	13:21:36.28	-60:31:14.7	9.4	10.25	9.9	V	predict
V 606	s	10	0	9	1.4950935	27953.102	13:21:36.28	-60:31:14.7	9.4	10.25	9.9	V	predict
V 607	p	10	0	2	4.44625	27926.36	13:25:12.76	-63:25:48.4	13.6	14.3	14.1	P	predict
V 608	p	10	0	2	1.62875	28402.239	13:29:48.41	-63:6:33.1	12.7	13.5	13.1	P	predict
V 609	p	10	0	2	0.458448	28402.2005	13:31:27.61	-54:35:24.1	13.3	13.6	13.6	P	predict
V 612	p	10	0	2	5.775874	51872.582	13:36:3.19	-63:24:34.2	13	13.6	13	P	predict
V 614	p	10	0	3	3.473601	52437.992	13:44:50.92	-59:27:58.1	10.7	11	10.7	P	predict
V 614	s	10	0	3	3.473601	28075.88681	13:44:50.92	-59:27:58.1	10.7	11	10.7	P	predict
V 615	p	10	0	2	0.406657	51884.924	13:48:45.23	-55:29:2.2	13.7	14	14	P	predict
V 617	p	10	0	2	40.15655	28403.87	13:50:51.34	-57:48:13.9	13.6	14.4	13.8	P	predict
V 619	p	10	0	2	16.45444	52414.158	13:53:50.46	-61:48:20.9	12.5	14	12.5	P	predict
V 620	p	10	0	2	2.166218	52404.443	14:2:10.56	-60:1:48.1	13.9	14.4	13.9	P	predict
V 621	p	9	1	3	3.683543	28992.83	14:2:49.52	-62:43:23.3	10.1	10.7	10.1	V	predict
V 624	p	10	0	2	0.7000815	28341.312	14:6:23.81	-54:37:34.7	14.8	15.6	14.9	P	predict
V 625	p	10	0	2	0.4697059	28228.476	14:6:37.34	-56:42:19	14.4	15	15	P	predict
V 627	p	10	0	2	14.98367	27565.37	14:9:20.26	-63:34:35.5	14	15	14	P	predict
V 628	p	9	1	2	3.740374	52813.816	14:9:30.83	-59:2:35.1	12.9	13.4	13.2	P	predict
V 629	p	10	0	2	2.319675	52140.026	14:10:1.44	-56:28:34.2	14.3	15.1	14.3	P	predict
V 630	p	10	0	2	0.7295228	52432.791	14:11:42.04	-62:50:34.8	14.1	14.4	14.2	P	predict
V 631	p	10	0	2	1.052519	28341.3	14:12:22.61	-58:10:44.7	13.7	14.4	13.7	P	predict
V 635	p	10	0	2	1.345708	28015.17	14:17:15.49	-60:15:1	13.5	14.2	13.9	P	predict
V 636	p	3	7	30	4.283946	34540.34	14:16:57.91	-49:56:42.4	8.7	9.7	8.9	V	predict
V 636	s	3	7	30	4.283946	54291.53262	14:16:57.91	-49:56:42.4	8.7	9.7	8.9	V	predict
V 637	p	10	0	1	0.378416	51888.044	14:16:34.8	-40:0:26	12.5	13.1	12.5	P	predict
V 639	p	9	1	2	5.3605	52498.847	14:19:0.91	-59:20:26.3	12.8	13.3	12.8	P	predict
V 646	p	10	0	2	2.24657322	51869.071	11:36:58.78	-53:12:35.4	9	11.7	9.1	P	predict
V 656	p	10	0	2	2.50882	51274.8	13:15:24.97	-31:20:3.5	13.12	14.25	13.12	V	predict
V 672	p	9	1	3	0.508863	34485.509	13:45:7.9	-46:9:33.3	11.6	12.2	11.7	V	predict
V 676	p	6	4	117	0.292394	46971.6154	14:37:50.77	-38:50:44.3	11.9	12.6	12.5	V	predict
V 676	s	6	4	117	0.292394	46971.7616	14:37:50.77	-38:50:44.3	11.9	12.6	12.5	V	predict
V 677	p	7	3	5	0.3250284	52652.331	14:42:34.65	-40:27:16	11.5	11.7	11.6	I	predict
V 677	s	7	3	5	0.3250284	52652.8237	14:42:34.65	-40:27:16	11.5	11.7	11.6	I	predict
V 678	p	8	2	4	1.301847	34479.355	14:51:23.85	-37:40:47	10.4	11	10.5	V	predict
V 684	p	10	0	2	8.01045	51876.928	11:23:17.36	-61:36:50.7	13.6	14.1	13.65	P	predict
V 685	p	8	2	6	1.190961	25351.53	11:24:26.57	-57:43:40.2	8.8	9.1	8.9	V	predict
V 687	p	10	0	2	1.896194	26010.539	11:31:44.54	-61:57:5.8	13.8	14.6	14.1	P	predict
V 687	s	10	0	2	1.896194	26011.4871	11:31:44.54	-61:57:5.8	13.8	14.6	14.1	P	predict
V 688	p	10	0	3	0.946073	51919.567	11:31:50.42	-62:33:24.9	9.1	9.6	9.3	P	predict
V 688	s	10	0	3	0.946073	26891.67104	11:31:50.42	-62:33:24.9	9.1	9.6	9.3	P	predict
V 689	p	9	1	3	0.5585358	24966.133	11:36:52.79	-58:14:0.7	12.4	13.3	12.6	V	predict
V 690	p	9	1	2	1.181476	52660.092	11:45:11.69	-62:44:24.3	14.6	15.4	14.63	P	predict
V 691	p	9	1	2	7.36653	25835.224	11:47:22.37	-61:37:31.8	12.6	13	12.6	P	predict
V 692	p	8	2	3	1.723677	52782.551	11:53:31.51	-63:15:27.2	11.7	12	11.9	V	predict
V 697	p	10	0	2	2.0600485	52127.045	13:19:7.64	-58:29:7.7	13.1	13.8	13.1	P	predict
V 700	p	7	3	6	0.764964	28330.346	13:28:9.8	-32:43:25.2	11.8	12.3	11.8	V	predict
V 701	p	9	1	37	0.73845	51884.799	13:31:37.67	-51:46:17.7	8.6	9.4	8.9	V	predict
V 701	s	9	1	37	0.73845	39243.635	13:31:37.67	-51:46:17.7	8.6	9.4	8.9	V	predict
V 712	p	10	0	1	5.4773	52000.388	14:9:11.43	-32:51:29.2	13	13.5	13	P	predict
V 715	p	10	0	1	0.728705	51905.344	14:11:48	-33:54:12.6	14	15	14	P	predict
V 716	p	10	0	10	1.490096	38524.4069	14:13:39.82	-54:37:32.3	5.96	6.52	6.21	V	predict
V 721	p	10	0	2	1.31566	51306.772	14:18:25.56	-31:9:26.9	13.25	14.6	13.25	V	predict
V 727	p	10	0	1	1.8658	51903.958	14:27:5.48	-32:30:19.6	13.5	14	13.5	P	predict
V 742	p	10	0	11	0.864454	38493.35	11:27:27.77	-41:30:50.8	9.4	10.2	10.1	P	predict
V 742	s	10	0	11	0.864454	38493.782	11:27:27.77	-41:30:50.8	9.4	10.2	10.1	P	predict
V 745	p	9	1	10	3.025101	33792.235	14:27:15.25	-62:3:37.8	9.4	10.3	9.7	V	predict
V 747	p	10	0	115	0.53719488	36710.286	13:39:23.76	-45:5:54.3	9.86	10.46	10.05	V	predict
V 747	s	10	0	115	0.53719488	36710.5546	13:39:23.76	-45:5:54.3	9.86	10.46	10.05	V	predict
V 748	p	10	0	2	564.99	41917	14:59:36.68	-33:25:4	11.55	13.65	11.55	V	predict
V 752	p	3	7	74	0.3702265	56108.344	11:42:48.08	-35:48:57.5	9.1	9.66	9.61	V	predict
V 752	s	3	7	74	0.3702265	44243.88	11:42:48.08	-35:48:57.5	9.1	9.66	9.61	V	predict
V 754	p	10	0	2	3.7658	52082.042	12:59:43.3	-58:58:41.9	11.1	13.2	11.1	P	predict
V 757	p	1	9	57	0.3431685	55402.289	13:51:55.74	-36:37:24.8	8.3	8.7	8.6	V	predict
V 757	s	1	9	57	0.3431685	53509.5445	13:51:55.74	-36:37:24.8	8.3	8.7	8.6	V	predict
V 758	p	8	2	41	0.580785	44403.2746	13:52:42.93	-55:32:27.8	8.8	9.4	9.15	B	predict
V 758	s	8	2	41	0.580785	44403.57	13:52:42.93	-55:32:27.8	8.8	9.4	9.15	B	predict
V 762	p	9	1	26	3.367895	52445.157	14:31:30.84	-63:1:11.3	11.3	12.3	11.3	V	predict
V 775	p	4	6	8	0.6636425	28740.25	13:58:28.34	-51:44:53.4	9.9	10.6	9.9	P	predict
V 775	s	4	6	8	0.6636425	28740.582	13:58:28.34	-51:44:53.4	9.9	10.6	9.9	P	predict
V 777	p	6	4	22	1.775995	38471.419	11:11:43.77	-51:24:30.3	10.9	11.7	10.9	V	predict
V 777	s	6	4	22	1.775995	55299.86298	11:11:43.77	-51:24:30.3	10.9	11.7	10.9	V	predict
V 786	p	10	0	2	0.855097	51869.725	11:36:11.27	-63:17:0.2	9.3	9.77	9.3	V	predict
V 805	p	10	0	2	3.3166	51885.728	13:38:50.41	-54:7:0.8	9.9	10.3	9.9	P	predict
V 805	s	10	0	2	3.3166	51887.3833	13:38:50.41	-54:7:0.8	9.9	10.3	9.9	P	predict
V 811	p	9	1	2	2.02092	52783.065	11:51:14.68	-63:13:49.1	11	11.6	11	V	predict
V 839	p	8	2	5	0.3309357	55397.282	12:58:49.71	-36:58:33	9.51	10.13	9.51	V	predict
V 877	p	10	0	1	5.35852	51875.2	12:59:42.01	-61:38:6.5	10.44	11.15	10.44	V	predict
V 878	p	10	0	1	10.60336	51877.541	13:4:15.15	-61:18:56.9	10.37	11.12	10.37	V	predict
V 892	p	9	1	1	6.51451	52724.826	13:55:47.96	-51:42:59.5	9.5	10	9.5	V	predict
V 901	p	1	12	14	0.354216	48500.1555	11:14:3.34	-51:32:55.7	11.937	12.304	11.937	c	predict
V 901	s	1	12	14	0.354216	48500.333	11:14:3.34	-51:32:55.7	11.937	12.304	11.937	c	predict
V 915	p	10	0	1	1.403	51544.254	11:41:55.04	-63:47:43.4	7.91	8.5	8	c	predict
V 916	p	8	2	8	1.463225	50559.7535	11:42:25.35	-62:28:37.5	8.71	8.83	8.83	V	predict
V 916	s	8	2	8	1.463225	52660.227	11:42:25.35	-62:28:37.5	8.71	8.83	8.83	V	predict
V 948	p	10	0	2	0.975085	48500.366	13:6:37.56	-64:33:36.7	9.066	9.256	9.066	c	predict
V 949	p	10	0	2	3.78697	48500.227	13:7:12.81	-54:19:59.6	9.147	9.515	9.147	c	predict
V 960	p	10	0	2	1.8636	51966.357	13:15:54.88	-56:19:31.4	9.588	9.784	9.588	c	predict
V 963	p	10	0	7	15.2693	51950.73	13:18:44.36	-58:16:1.3	8.6	8.98	8.77	V	predict
V 963	s	10	0	7	15.2693	51252.77112	13:18:44.36	-58:16:1.3	8.6	8.98	8.77	V	predict
V 975	p	8	2	2	135.9255	54217.582	13:38:54.1	-55:1:28	7.37	7.76	7.54	V	predict
V 975	s	8	2	2	135.9255	54227.551	13:38:54.1	-55:1:28	7.37	7.76	7.54	V	predict
V 979	p	10	0	2	2.56835	52435.044	13:47:56.82	-63:51:43.8	7.489	7.606	7.489	c	predict
V1000	p	10	0	1	16.6336	52102.514	14:19:9.44	-56:55:18.1	8.4	8.67	8.63	V	predict
V1071	p	10	0	1	2.69535	51966.704	11:12:7.6	-37:34:37	9.68	10.23	10.03	V	predict
V1078	p	9	1	1	1.81033	52736.612	11:16:41.6	-42:38:10	11.96	12.66	12.11	V	predict
V1082	p	9	1	1	2.63205	52934.8	11:22:5.5	-47:17:33	12.32	13.6	12.45	V	predict
V1087	p	1	9	24	5.048912	53547.56	11:28:51	-62:55:48	9.34	9.52	9.34	V	predict
V1087	s	1	9	24	5.048912	53444.662	11:28:51	-62:55:48	9.34	9.52	9.34	V	predict
V1089	p	10	0	1	5.48793	48502.854	11:31:48.7	-60:41:36	7.88	7.96	7.95	V	predict
V1097	p	9	1	2	0.91095	52660.359	11:46:59	-62:28:25	11.7	12.7	11.7	V	predict
V1099	p	9	1	4	1.25092	51533.715	11:47:19	-61:55:2	10.9	10.95	10.9	V	predict
V1099	s	9	1	4	1.25092	51534.34046	11:47:19	-61:55:2	10.9	10.95	10.9	V	predict
V1101	p	10	0	1	5.0323	52434.486	11:49:14.5	-46:13:23	8.13	8.55	8.5	V	predict
V1104	p	10	0	1	0.876112	51971.701	11:51:42.7	-62:53:11	9.91	10.27	10.19	V	predict
V1109	p	9	1	2	3.337	52414.567	12:0:46.1	-40:21:16	9.58	10.23	10.1	V	predict
V1112	p	9	1	1	0.386639	53820.724	12:6:37.74	-42:43:19.4	13.8	14.6	13.8	V	predict
V1116	p	9	1	1	1.95074	52759.622	12:11:3.2	-50:40:23	11.72	13.7	11.85	V	predict
V1118	p	10	0	1	11.30489	47945.451	12:16:43	-45:52:3	9.55	10.1	9.9	V	predict
V1119	p	10	0	1	5.90859	52106.482	12:16:56.8	-45:12:7	9.49	9.89	9.82	V	predict
V1121	p	9	1	1	0.996386	52710.707	12:23:38.7	-34:24:13	10.8	11.6	10.97	V	predict
V1133	p	10	0	1	1.270335	52064.518	12:43:15.2	-33:41:2	9.56	9.78	9.6	V	predict
V1139	p	10	0	1	0.323558	51876.8519	12:52:23.83	-31:3:26.7	13.8	14.7	13.8	V	predict
V1140	p	9	1	1	0.43461	53862.6	12:53:16.39	-37:21:1.8	13.6	14.7	13.6	V	predict
V1142	p	10	0	4	2.52473	50560.1595	12:58:14.9	-62:58:8	11.67	13.43	11.67	V	predict
V1142	s	10	0	4	2.52473	51255.8653	12:58:14.9	-62:58:8	11.67	13.43	11.67	V	predict
V1144	p	9	1	1	1.069415	53133.814	12:59:14.9	-31:56:42	11.97	12.7	12.26	V	predict
V1149	p	9	1	1	3.5116	52738.74	13:1:54.9	-50:40:45	11.24	13.05	11.43	V	predict
V1153	p	9	1	1	5.97872	53153.621	13:4:36	-61:40:17	9.68	10.22	10.13	V	predict
V1156	p	10	0	1	1.04222	52116.46	13:6:26.4	-38:23:16	10.3	11.02	10.99	V	predict
V1160	p	9	1	1	10.3542	53183.61	13:11:6.7	-54:10:0	8.63	8.8	8.78	V	predict
V1166	p	10	0	1	13.4197	51955.858	13:15:51.3	-63:53:3	8.77	8.98	8.87	V	predict
V1169	p	10	0	1	11.0385	51985.818	13:18:30.8	-62:39:46	10.44	10.67	10.65	V	predict
V1175	p	9	1	1	0.740645	52793.568	13:22:28.7	-45:53:30	11.81	12.61	12.05	V	predict
V1176	p	9	1	1	31.029	53474.58	13:23:1.8	-62:26:32	10.09	10.36	10.3	V	predict
V1177	p	10	0	1	5.7945	52014.643	13:24:18.2	-37:17:1	9.08	9.44	9.42	V	predict
V1178	p	9	1	1	2.13185	53106.757	13:24:53.5	-39:44:3	11.7	13.8	11.83	V	predict
V1182	p	9	1	1	0.94909	52860.55	13:28:10.06	-48:2:29.4	12.8	13.4	12.8	V	predict
V1194	p	10	0	1	0.793856	51984.818	13:38:33.6	-49:42:52	9.71	9.93	9.87	V	predict
V1198	p	10	0	1	6.50404	48966.453	13:40:51.6	-62:52:47	8.66	8.8	8.73	V	predict
V1200	p	10	0	1	2.482874	48509.652	13:52:17.5	-38:37:17	8.44	8.7	8.51	V	predict
V1202	p	10	0	1	15.5543	47917.35	13:59:20.1	-62:27:37	7.67	7.8	7.72	V	predict
V1204	p	9	1	1	2.32713	52652.828	14:13:48.5	-64:0:30	10.95	11.65	11.4	V	predict
V1206	p	9	1	1	2.582712	53063.822	14:19:29.3	-34:23:50	11.77	12.76	12.05	V	predict
V1207	p	10	0	1	8.5366	51948.804	14:21:3.2	-32:53:13	10.71	11.93	10.88	V	predict
V1209	p	10	0	1	2.09093	51954.777	14:36:3.2	-58:28:25	11.49	11.9	11.49	V	predict
V1214	p	10	0	1	2.136998	51950.23	11:6:14.8	-42:24:32	10.47	10.76	10.47	V	predict
V1216	p	9	1	1	3.80399	54486.72	11:14:35.48	-55:30:8.3	11.32	11.47	11.32	V	predict
V1218	p	8	2	2	0.767307	54255.35	11:22:18	-62:38:32	13.3	14	13.5	V	predict
V1219	p	9	1	3	4.662882	51550.813	11:23:25.9	-62:38:42	10.42	10.7	10.42	c	predict
V1220	p	9	1	1	4.5517	52684.68689	11:30:45	-60:43:59	16.35	16.38	16.35	I	predict
V1222	p	9	1	1	1.4329	52683.45961	11:31:31.6	-60:36:53	16.83	16.85	16.83	I	predict
V1224	p	9	1	1	1.4835	52683.46444	11:32:21.8	-60:50:46	15.94	15.96	15.94	I	predict
V1229	p	10	0	2	0.9911	51994.343	11:33:33	-63:53:41	9.23	9.52	9.5	V	predict
V1233	p	9	1	1	2.4456	52685.19335	11:34:52.8	-60:52:36	16.74	16.77	16.74	V	predict
V1237	p	9	1	1	0.486009	54540.7779	11:46:34	-62:17:55	11.1	11.9	11.7	V	predict
V1242	p	9	1	1	1.285056	52760.7435	11:50:47.3	-55:55:6	13.6	14.2	13.8	V	predict
V1244	p	9	1	1	3.66946	52687.41198	11:52:55.7	-62:16:54	14.96	14.97	14.96	I	predict
V1246	p	9	1	1	3.73	52685.88809	11:54:5.5	-62:4:39	16.3	16.32	16.3	I	predict
V1247	p	9	1	1	4.3956	52685.15132	11:55:21.5	-62:3:56	15.39	15.42	15.39	I	predict
V1254	p	9	1	1	0.37079	52738.684	12:44:52.7	-42:44:14	11.17	11.75	11.17	V	predict
V1258	p	10	0	1	0.08885	50567.55919	13:0:29	-30:52:57	15.4	22.2	15.4	V	predict
V1260	p	10	0	1	3.56278	51888.826	13:2:36.1	-59:56:0.8	9.46	9.55	9.46	V	predict
V1262	p	9	1	1	3.370469	52712.825	13:7:40.7	-37:29:34	11.82	12.7	11.82	V	predict
V1263	p	9	1	1	0.410756	52699.756	13:8:7.3	-32:54:13	12.1	12.95	12.1	V	predict
V1264	p	9	1	1	5.35917	53787.995	13:10:18.4	-45:9:14	11.38	11.38	11.38	I	predict
V1266	p	9	1	1	10.157	53476.93	13:12:34.3	-60:33:39	8.05	8.16	8.05	V	predict
V1269	p	10	0	1	0.389941	52452.468	13:28:11.3	-33:23:47	12.7	13.65	12.7	V	predict
V1272	p	9	1	1	4.90185	52698.32754	13:30:42.9	-63:57:31	14.34	14.35	14.34	I	predict
V1273	p	9	1	1	2.7473	52696.731	13:30:55.7	-63:58:39	15.69	15.7	15.69	I	predict
V1274	p	9	1	1	2.68153	52697.11292	13:30:58.5	-64:11:54	16.15	16.17	16.15	I	predict
V1276	p	9	1	1	2.89185	52698.1426	13:31:31.5	-64:10:52	16.81	16.85	16.81	I	predict
V1277	p	9	1	1	2.12676	52697.54746	13:31:54.4	-64:2:40	16.35	16.39	16.35	I	predict
V1278	p	9	1	1	3.6508	52696.94702	13:32:12	-64:32:57	14.13	14.14	14.13	I	predict
V1279	p	9	1	1	5.2192	52699.83984	13:32:23.8	-64:10:35	15.31	15.32	15.31	I	predict
V1280	p	9	1	1	0.94621	52696.24111	13:32:52.5	-63:57:45	15.78	16.81	15.78	I	predict
V1281	p	9	1	1	5.277	52701.09815	13:33:25.9	-64:16:39	15.62	15.63	15.62	I	predict
V1283	p	9	1	1	3.58341	52699.47628	13:33:54.7	-64:9:44	15.26	15.29	15.26	I	predict
V1284	p	9	1	1	0.323526	52760.748	13:33:56.9	-31:53:21	12.75	13.5	12.75	V	predict
V1285	p	9	1	1	5.86821	52698.99295	13:34:22.8	-64:7:18	17.05	17.09	17.05	I	predict
V1286	p	10	0	1	0.613378	51996.681	13:35:1.7	-42:19:43	11.37	11.98	11.37	V	predict
V1289	p	9	1	1	0.897009	53012.8434	13:49:9.2	-47:46:34	10.4	11.2	10.4	V	predict
V1294	p	9	1	1	1.16553	54302.6004	13:55:41.8	-44:38:56.9	7.8	8.07	8.07	V	predict
V1296	p	10	0	1	0.506878	51979.678	13:56:42.9	-42:24:17	10.71	11.4	10.71	V	predict
V1298	p	10	0	1	11.4596	51252.72	13:56:58.4	-63:13:57	15.03	15.24	15.03	I	predict
V1326	p	10	0	1	0.9158	50567.6886	14:1:33	-59:32:46	11.35	11.7	11.35	I	predict
V1347	p	10	0	1	1.25197	52463.5431	14:25:24.1	-30:13:16	10.3	11.2	10.3	V	predict
V1351	p	10	0	1	0.399114	51924.88	14:28:33.6	-32:8:26	10.65	11.3	10.65	V	predict
V1356	p	10	0	1	3.17071	51939.218	14:37:36.9	-61:8:48	11.97	12.96	11.97	V	predict
V1362	p	10	0	1	0.35341	51868.276	14:40:47.4	-37:25:17	9.25	9.53	9.25	V	predict
RafV119	p	7	3	3	4.35532	53454.7942	14:23:32	-59:50:25	12.85	13.35	13.2	V	predict
RafV119	s	7	3	3	4.35532	53456.972	14:23:32	-59:50:25	12.85	13.35	13.2	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.:

HW Vir (L. Šmelcer)

XY Boo (L. Šmelcer)

V502 Oph (M. Mašek)

New transits TRESCA:

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)

WASP-2 b (A. Oksanen)

Kepler-15 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:

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