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 Aur			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
T	p	6	4	25	0.20437829	37614.0116	5:31:59.1	+30:26:46	15.2	15.5	15.2	P	predict
RY	p	1	16	112	2.725394	55137.9515	5:18:25.1	+38:20:19	11.7	14	11.7	P	predict
RZ	p	5	5	83	3.01059	46406.468	5:49:22.4	+31:42:9	11.9	14	11.9	V	predict
SX	p	1	36	166	1.210082	45739.5929	5:11:42.9	+42:9:55	8.38	9.14	8.87	V	predict
SX	s	1	36	166	1.210082	49416.4313	5:11:42.9	+42:9:55	8.38	9.14	8.87	V	predict
TT	p	1	26	268	1.332736	45010.2397	5:9:42.3	+39:35:11	8.59	9.5	9	B	predict
TT	s	1	26	268	1.332736	45010.9061	5:9:42.3	+39:35:11	8.59	9.5	9	B	predict
WW	p	1	39	540	2.525019	41399.305	6:32:27.2	+32:27:17.8	5.79	6.54	6.43	V	predict
WW	s	1	39	540	2.525019	51518.322	6:32:27.2	+32:27:17.8	5.79	6.54	6.43	V	predict
XX	p	9	1	35	5.412382	15017.35	5:47:9.9	+41:9:52	13.1	14.6	13.4	P	predict
XX	s	9	1	35	5.412382	25682.47	5:47:9.9	+41:9:52	13.1	14.6	13.4	P	predict
ZZ	p	1	45	222	0.601216	50825.292	5:45:42.2	+41:8:59	10.8	11.7	11.1	P	predict
ZZ	s	1	45	222	0.601216	53440.2808	5:45:42.2	+41:8:59	10.8	11.7	11.1	P	predict
AH	p	1	49	107	0.4941072	54148.471	6:26:4.92	+27:59:56.5	10.2	10.7	10.7	V	predict
AH	s	1	49	107	0.4941072	25300.757	6:26:4.92	+27:59:56.5	10.2	10.7	10.7	V	predict
AK	p	10	0	9	4.763137	28238.33	6:39:18	+31:36:44	10.55	11	10.55	B	predict
AK	s	10	0	9	4.763137	28240.712	6:39:18	+31:36:44	10.55	11	10.55	B	predict
AM	p	7	3	87	13.61875	53038.0631	4:56:37	+32:12:11	10.9	12	11	P	predict
AP	p	1	62	190	0.569374	47526.325	7:23:50.3	+36:26:53	10.9	11.4	11.2	P	predict
AP	s	1	62	190	0.569374	47526.61	7:23:50.3	+36:26:53	10.9	11.4	11.2	P	predict
AR	p	1	37	248	4.1346662	27887.7217	5:18:18.89	+33:46:2.7	6.15	6.82	6.7	V	predict
AR	s	1	37	248	4.1346662	27889.789	5:18:18.89	+33:46:2.7	6.15	6.82	6.7	V	predict
BC	p	3	7	27	5.7597	54164.444	5:46:16.5	+32:50:50	11.6	13.2	11.7	P	predict
BC	s	3	7	27	5.7597	33299.925	5:46:16.5	+32:50:50	11.6	13.2	11.7	P	predict
BE	p	10	0	2	2.104551	29584.434	4:59:39.9	+29:58:27	13.5	14.7	13.5	V	predict
BF	p	1	11	175	1.583222	53316.3086	5:5:3.5	+41:17:19.1	8.79	9.51	9.49	V	predict
BF	s	1	11	175	1.583222	49001.2344	5:5:3.5	+41:17:19.1	8.79	9.51	9.49	V	predict
CG	p	1	66	79	1.804855	27148.9	5:3:42.6	+29:11:32	12.1	12.7	12.1	P	predict
CG	s	1	66	79	1.804855	53704.6764	5:3:42.6	+29:11:32	12.1	12.7	12.1	P	predict
CH	p	10	0	2	5.009974	51413.342	5:5:29.5	+31:35:46	14.8	16.6	14.8	P	predict
CI	p	4	6	37	1.870033	40626.336	5:9:22.9	+29:27:16	13.3	14.6	13.35	P	predict
CK	p	10	0	7	2.185253	37374.352	5:9:49.32	+36:57:44	11.5	12.5	11.5	P	predict
CL	p	1	65	214	1.2443718	55583.7313	5:12:54.2	+33:30:28	12.1	13.2	12.3	P	predict
CL	s	1	65	214	1.2443718	32967.89	5:12:54.2	+33:30:28	12.1	13.2	12.3	P	predict
CP	p	9	1	4	2.764601	55158.995	6:0:51.6	+39:44:39	13.22	14.74	13.22	V	predict
CQ	p	9	1	32	10.6224	54861.4447	6:3:53.65	+31:19:41.2	9.04	9.37	9.14	V	predict
DN	p	3	7	10	0.616893	53386.307	5:7:59.96	+33:23:51.9	13.7	14.2	13.7	P	predict
DN	s	3	7	10	0.616893	53388.47	5:7:59.96	+33:23:51.9	13.7	14.2	13.7	P	predict
DO	p	1	14	16	0.788652	25967.346	5:9:13.27	+36:35:38.8	14.1	14.6	14.1	P	predict
DO	s	1	14	16	0.788652	25967.74033	5:9:13.27	+36:35:38.8	14.1	14.6	14.1	P	predict
EI	p	7	3	11	1.226694	39060.448	5:3:14.8	+32:45:10	14.5	15	15	P	predict
EI	s	7	3	11	1.226694	39061.06135	5:3:14.8	+32:45:10	14.5	15	15	P	predict
EM	p	1	56	82	1.8219695	54521.29347	5:13:24.45	+37:5:59.2	11	11.9	11.7	P	predict
EM	s	1	56	82	1.8219695	15018.261	5:13:24.45	+37:5:59.2	11	11.9	11.7	P	predict
EO	p	5	5	16	4.06564	53744.3353	5:18:21.07	+36:37:55.3	7.56	8.13	7.89	V	predict
EO	s	5	5	16	4.06564	48359.403	5:18:21.07	+36:37:55.3	7.56	8.13	7.89	V	predict
EP	p	1	46	129	0.5910081	54520.5706	6:11:32.1	+31:28:53	10.8	11.3	10.9	P	predict
EP	s	1	46	129	0.5910081	26309.682	6:11:32.1	+31:28:53	10.8	11.3	10.9	P	predict
EQ	p	9	1	22	3.42948	51449.6017	6:50:27.3	+35:21:46	12	13	12	V	predict
EU	p	6	4	15	3.521102	54842.7516	4:40:35.83	+35:25:10.2	13.4	15.5	13.4	P	predict
FG	p	10	0	11	13.64558	28107.632	4:55:46	+37:21:6	12.8	14.8	12.8	P	predict
FN	p	6	4	19	8.343115	54056.3886	5:39:46.1	+32:34:18.6	12.2	13.7	12.3	P	predict
FN	s	6	4	19	8.343115	54085.5829	5:39:46.1	+32:34:18.6	12.2	13.7	12.3	P	predict
FO	p	1	10	32	0.609759	55140.0051	5:43:4	+32:12:15	14.3	14.9	14.3	P	predict
FO	s	1	10	32	0.609759	26224.925	5:43:4	+32:12:15	14.3	14.9	14.3	P	predict
FP	p	1	9	20	0.9472336	53397.3051	5:43:38.8	+30:53:32	11.7	12	11.7	P	predict
FR	p	6	4	30	2.60677	52940.4847	5:47:0	+32:25:31	12.7	14.2	13	P	predict
FR	s	6	4	30	2.60677	49401.78698	5:47:0	+32:25:31	12.7	14.2	13	P	predict
FV	p	9	1	8	2.741598	26003.36	5:49:42.04	+31:7:7.2	15	16.7	15	P	predict
FW	p	4	6	28	2.559966	29335.274	5:52:10.3	+30:12:44	12.2	14.4	12.2	P	predict
FY	p	10	0	6	32.6379	25996.2	5:55:12.15	+28:43:38.2	15.1	16.5	15.1	P	predict
FZ	p	10	0	2	7.13237	51518.595	6:6:48.33	+31:55:44.5	12.55	12.8	12.55	c	predict
GI	p	1	12	15	1.207858	26297.507	6:11:36.4	+29:26:42	11.6	12.1	11.7	P	predict
GK	p	10	0	3	19.8571	27745.18	4:51:6.8	+46:51:10	13.5	15.5	14	P	predict
GW	p	10	0	11	3.00132	16575.3	6:0:36.8	+32:41:16.6	12.66	13.3	12.66	c	predict
GW	s	10	0	11	3.00132	51275.082	6:0:36.8	+32:41:16.6	12.66	13.3	12.66	c	predict
GX	p	1	14	57	1.143257	15103.862	6:24:56.4	+38:39:56	12	13.1	12	P	predict
GX	s	1	14	57	1.143257	54522.793	6:24:56.4	+38:39:56	12	13.1	12	P	predict
GY	p	9	1	3	4.117413	55565.713	4:56:48.6	+30:35:37	13.2	14	13.3	P	predict
HL	p	1	39	203	0.6225056	25588.427	6:19:13	+49:42:7	10.8	11.9	11	P	predict
HL	s	1	39	203	0.6225056	52622.2899	6:19:13	+49:42:7	10.8	11.9	11	P	predict
HP	p	1	116	235	1.42282	37345.361	5:10:21.8	+35:47:47	10.85	11.54	11.28	V	predict
HP	s	1	116	235	1.42282	37346.0725	5:10:21.8	+35:47:47	10.85	11.54	11.28	V	predict
HS	p	6	4	32	9.81538	27397.532	6:51:18.5	+47:40:24.2	10.7	11.2	11.2	P	predict
HS	s	6	4	32	9.81538	52981.33605	6:51:18.5	+47:40:24.2	10.7	11.2	11.2	P	predict
HU	p	1	9	126	1.408008	55137.8799	4:39:4.4	+34:39:24	12	12.5	12.4	P	predict
HU	s	1	9	126	1.408008	54831.636	4:39:4.4	+34:39:24	12	12.5	12.4	P	predict
HW	p	1	16	51	1.1774199	29906.442	5:1:25.2	+39:48:12	12	12.8	12.6	P	predict
HW	s	1	16	51	1.1774199	29907.03071	5:1:25.2	+39:48:12	12	12.8	12.6	P	predict
II	p	5	5	13	0.918908	53029.4374	5:6:41.7	+34:40:55	14.7	16.2	15	P	predict
IM	p	1	42	200	1.247288	38327.7974	5:15:29.7	+46:24:21	7.9	8.51	8.05	V	predict
IM	s	1	42	200	1.247288	38328.4208	5:15:29.7	+46:24:21	7.9	8.51	8.05	V	predict
IU	p	1	110	199	1.8114745	38448.4063	5:27:52.4	+34:46:58.3	8.19	8.83	8.19	V	predict
IU	s	1	110	199	1.8114745	38449.312	5:27:52.4	+34:46:58.3	8.19	8.83	8.19	V	predict
IY	p	2	8	47	2.793372	53052.3963	5:48:27.2	+43:4:57	9.4	10.1	9.4	P	predict
IY	s	2	8	47	2.793372	47894.4236	5:48:27.2	+43:4:57	9.4	10.1	9.4	P	predict
IZ	p	1	13	24	0.771167	52274.4748	5:53:36.5	+52:25:57	13	14	13	P	predict
IZ	s	1	13	24	0.771167	53409.2504	5:53:36.5	+52:25:57	13	14	13	P	predict
KO	p	1	18	64	3.9537975	36607.492	6:6:15.2	+48:22:13	10.4	11.3	10.4	P	predict
KO	s	1	18	64	3.9537975	36609.469	6:6:15.2	+48:22:13	10.4	11.3	10.4	P	predict
KU	p	1	28	82	1.3195785	29630.469	6:28:4.4	+30:23:34	11.7	12.9	11.7	P	predict
KU	s	1	28	82	1.3195785	52697.3621	6:28:4.4	+30:23:34	11.7	12.9	11.7	P	predict
LR	p	10	0	5	19.7803	38441.27	6:0:14.04	+28:35:57.1	14.9	16	14.9	P	predict
LR	s	10	0	5	19.7803	38451.16	6:0:14.04	+28:35:57.1	14.9	16	14.9	P	predict
LT	p	10	0	8	2.09903	41689.32	6:13:14.01	+43:14:54.8	14.5	15.5	14.5	P	predict
LU	p	10	0	12	0.388333333	39029.62	6:13:25.04	+42:3:41.1	13.5	14.5	13.5	P	predict
LV	p	10	0	13	3.47425	39026.56	6:18:8.4	+48:1:20	14.5	15.5	14.5	P	predict
LX	p	10	0	6	0.362058	43931.407	6:28:2.25	+48:45:54.7	15	16.5	15	P	predict
LY	p	6	4	56	4.0024943	39061.464	5:29:42.7	+35:22:30	6.66	7.35	7.26	V	predict
LY	s	6	4	56	4.0024943	39063.4652	5:29:42.7	+35:22:30	6.66	7.35	7.26	V	predict
MM	p	10	0	7	0.7746	39536.381	5:39:19.92	+28:59:30	15.6	16.5	15.6	P	predict
MN	p	5	5	35	5.5809	53300.5572	5:40:57.6	+46:8:16	11.9	13.5	11.9	P	predict
MN	s	5	5	35	5.5809	38324.2034	5:40:57.6	+46:8:16	11.9	13.5	11.9	P	predict
MO	p	4	6	21	5.266715	38397.272	5:45:20.6	+31:54:32	13.1	14.7	13.1	P	predict
MO	s	4	6	21	5.266715	4176.356	5:45:20.6	+31:54:32	13.1	14.7	13.1	P	predict
MP	p	10	0	10	2.060679	50464.4604	5:46:46.2	+31:42:41	14.8	16.2	14.8	P	predict
MR	p	10	0	5	0.6903	38457.282	5:51:33.68	+31:6:52	15.1	15.5	15.5	P	predict
MR	s	10	0	5	0.6903	38414.811	5:51:33.68	+31:6:52	15.1	15.5	15.5	P	predict
MT	p	8	2	19	1.191266	55528.8704	5:57:26.9	+30:42:6	14.8	16.2	14.8	P	predict
MT	s	8	2	19	1.191266	26352.976	5:57:26.9	+30:42:6	14.8	16.2	14.8	P	predict
MU	p	4	6	20	2.202283	26351.35	5:57:45.6	+29:34:10	13.2	13.6	13.2	P	predict
NN	p	1	9	24	2.176075	40206.521	5:35:13.8	+31:48:39	12.3	12.8	12.3	P	predict
QT	p	5	5	17	1.089504	49018.379	6:16:27.6	+39:53:24	14.4	15	14.4	P	predict
V 355	p	6	4	13	17.6439	51277.68	5:39:41.3	+42:7:14	10.85	11.2	11.08	V	predict
V 355	s	6	4	13	17.6439	51286.5	5:39:41.3	+42:7:14	10.85	11.2	11.08	V	predict
V 364	p	1	20	42	0.699025	53409.3387	5:30:27.5	+46:20:15	11.4	12.2	11.4	P	predict
V 365	p	9	1	7	1.020948	41600.386	5:36:6.96	+48:56:51.5	13.8	15.1	13.8	P	predict
V 371	p	10	0	7	1.210833	38709.681	5:52:20.2	+43:36:55.4	15.5	16.9	15.5	P	predict
V 379	p	5	5	18	1.351022	43848.415	6:21:30.2	+41:51:1	13.6	14.5	13.6	p	predict
V 402	p	4	6	9	0.603497	48500.284	5:2:14.74	+31:15:49.3	8.84	8.98	8.84	V	predict
V 402	s	4	6	9	0.603497	53659.8834	5:2:14.74	+31:15:49.3	8.84	8.98	8.84	V	predict
V 404	p	1	16	59	0.754318	50096.265	5:57:13.5	+43:28:17	12.2	12.7	12.2	V	predict
V 404	s	1	16	59	0.754318	54171.485	5:57:13.5	+43:28:17	12.2	12.7	12.2	V	predict
V 410	p	1	43	45	0.366355	55508.9206	5:1:10.83	+34:30:26.6	10.097	10.444	10.097	V	predict
V 410	s	1	43	45	0.366355	48500.359	5:1:10.83	+34:30:26.6	10.097	10.444	10.097	V	predict
V 417	p	4	6	7	1.865521	48500.5262	5:13:31.78	+35:39:11	7.915	8.15	7.915	V	predict
V 417	s	4	6	7	1.865521	48501.459	5:13:31.78	+35:39:11	7.915	8.15	7.915	V	predict
V 426	p	8	2	4	1.419103	55640.2892	5:28:12.29	+35:25:52.1	10.553	10.764	10.553	V	predict
V 432	p	7	3	5	3.08175	51571.4123	5:37:32.44	+37:5:12.4	8	8.37	8.26	V	predict
V 432	s	7	3	5	3.08175	51572.9532	5:37:32.44	+37:5:12.4	8	8.37	8.26	V	predict
V 437	p	10	0	2	7.8545	51272.749	5:49:3.06	+54:1:57.1	8.42	9	8.42	V	predict
V 459	p	9	1	2	1.062637	52583.4813	6:35:37.65	+32:34:36.5	7.661	8.114	7.661	V	predict
V 495	p	8	2	5	1.046376	55223.34803	6:47:33.79	+47:10:22.6	12.7	13.3	12.8	V	predict
V 523	p	1	33	34	0.330437	52716.825	7:24:3.5	+41:26:2	13.3	14.7	13.3	c	predict
V 523	s	1	33	34	0.330437	54821.8769	7:24:3.5	+41:26:2	13.3	14.7	13.3	c	predict
V 534	p	6	4	12	2.14185	51570.2363	6:26:23.9	+27:56:44	10.43	10.76	10.43	V	predict
V 534	s	6	4	12	2.14185	51570.9503	6:26:23.9	+27:56:44	10.43	10.76	10.43	V	predict
V 535	p	5	5	9	0.384748	54750.50811	6:32:46.2	+46:23:33	12.73	13.17	13.13	V	predict
V 535	s	5	5	9	0.384748	51966.654	6:32:46.2	+46:23:33	12.73	13.17	13.13	V	predict
V 555	p	6	4	50	0.9097945	53406.3856	5:29:24.9	+28:45:51.8	14.1	16.1	14.4	P	predict
V 555	s	6	4	50	0.9097945	54777.8994	5:29:24.9	+28:45:51.8	14.1	16.1	14.4	P	predict
V 560	p	7	3	4	1.528311	48181.925	4:56:42.8	+39:17:24	9.07	9.2	9.18	V	predict
V 562	p	10	0	1	0.52878	51509.098	5:18:55.3	+29:38:21	12.87	13.21	13.19	c	predict
V 565	p	10	0	1	4.265	51598.723	5:37:42.4	+39:15:30	11.84	12.19	12.16	V	predict
V 567	p	5	5	6	0.710089	51548.612	5:43:37	+33:54:14	12.55	13.2	13.1	c	predict
V 567	s	5	5	6	0.710089	55599.31641	5:43:37	+33:54:14	12.55	13.2	13.1	c	predict
V 569	p	10	0	1	1.1833	51531.634	5:46:34.2	+44:26:52	13	13.5	13.35	c	predict
V 576	p	7	3	4	1.961843	55583.7365	6:10:11.3	+30:1:44	9.68	9.98	9.97	V	predict
V 576	s	7	3	4	1.961843	51464.843	6:10:11.3	+30:1:44	9.68	9.98	9.97	V	predict
V 579	p	10	0	1	2.0338	51517.64	6:25:46.5	+46:19:58	13.97	15	14.35	c	predict
V 580	p	10	0	2	4.3976	51519.672	6:32:14.1	+31:9:54	13.78	15.2	13.8	c	predict
V 585	p	6	4	5	0.535301	51601.666	4:47:29.24	+31:51:43.6	11.05	11.45	11.3	R	predict
V 585	s	6	4	5	0.535301	51601.934	4:47:29.24	+31:51:43.6	11.05	11.45	11.3	R	predict
V 589	p	10	0	1	1.16	51528.66	4:52:24.19	+43:19:55	12.2	12.9	12.2	R	predict
V 591	p	8	2	3	1.10965	55506.8566	4:54:0.19	+39:33:44.4	10.81	11.42	10.99	R	predict
V 594	p	9	1	2	1.43677	51527.899	4:57:51.42	+39:30:2.3	12.4	13.2	12.4	R	predict
V 596	p	1	16	16	0.397887	55934.6399	5:2:2.26	+42:37:56	11.83	12.29	12.27	c	predict
V 596	s	1	16	16	0.397887	53686.777	5:2:2.26	+42:37:56	11.83	12.29	12.27	c	predict
V 599	p	1	36	36	0.316536	54862.6909	5:8:46.81	+32:2:8.9	11.67	11.96	11.9	c	predict
V 599	s	1	36	36	0.316536	55508.9	5:8:46.81	+32:2:8.9	11.67	11.96	11.9	c	predict
V 603	p	9	1	2	0.37461	55934.7653	5:10:57.35	+52:14:58.2	12.7	13.4	12.7	c	predict
V 606	p	10	0	1	1.8868	51531.695	5:23:36.65	+29:34:27.8	10.77	11.13	10.84	R	predict
V 607	p	9	1	1	2.0668	54175.868	5:24:24.6	+54:39:22	10.5	11.3	10.5	c	predict
V 608	p	10	0	1	0.7632387	51900.1194	5:27:37.9	+39:55:33	12.5	12.9	12.5	c	predict
V 609	p	10	0	1	0.474728	51914.7611	5:27:48.6	+39:54:11	13.1	13.6	13.3	c	predict
V 618	p	9	1	2	0.992835	51537.633	5:43:38.21	+31:58:54	12.95	13.9	13.25	c	predict
V 620	p	1	11	11	0.751632	54165.4772	5:45:40.2	+41:6:24.6	13	13	13	c	predict
V 622	p	9	1	1	0.3043	54457.4902	5:47:53.63	+39:1:40.7	15.13	15.32	15.13	c	predict
V 623	p	9	1	1	0.60304	54346.5408	5:48:15.38	+39:2:10.1	12.5	12.9	12.7	c	predict
V 624	p	7	3	3	0.7077	54473.5953	5:48:18.07	+38:57:9.2	15.91	16.4	15.91	c	predict
V 625	p	9	1	1	0.3309	54430.004	5:48:24.46	+39:5:37.5	16.85	17.43	17.36	c	predict
V 626	p	9	1	1	0.3956	54429.6411	5:48:37.58	+39:10:27.8	15.59	15.86	15.83	c	predict
V 627	p	9	1	1	0.38781	54354.4867	5:49:0.76	+39:14:34.5	13.7	14.1	14.05	c	predict
V 628	p	9	1	1	1.313	54429.7525	5:49:8.41	+39:12:36.5	15.71	16.31	15.99	c	predict
V 629	p	9	1	1	0.4105	54429.482	5:49:17.23	+39:20:12.2	16.42	17.06	16.75	c	predict
V 630	p	9	1	1	1.1958	54405.7351	5:50:11.45	+39:10:26.2	14.03	14.24	14.22	c	predict
V 631	p	9	1	1	0.3459	54429.5185	5:50:14.33	+39:19:36.1	15.97	16.61	16.59	c	predict
V 632	p	8	2	2	0.4652	54429.7173	5:50:17.88	+39:7:12.4	15.95	17.25	16.35	c	predict
V 633	p	9	1	1	2.6333	54412.4971	5:50:27.03	+39:13:15	14.22	15.72	14.22	c	predict
V 634	p	9	1	1	0.4509	54429.8141	5:50:45.17	+39:21:21.7	15	15.27	15.22	c	predict
V 636	p	1	12	12	0.3406176	54489.8852	5:52:55	+35:16:11	13.7	14.1	14.1	V	predict
V 636	s	1	12	12	0.3406176	54489.7126	5:52:55	+35:16:11	13.7	14.1	14.1	V	predict
V 639	p	4	6	6	0.357106	55957.6874	5:54:43.38	+52:43:38.2	14.01	14.85	14.01	c	predict
V 639	s	4	6	6	0.357106	53318.492	5:54:43.38	+52:43:38.2	14.01	14.85	14.01	c	predict
V 640	p	1	12	12	0.3279975	53285.2664	6:2:7.58	+52:31:44.1	12.52	13.25	13	c	predict
V 640	s	1	12	12	0.3279975	55528.9341	6:2:7.58	+52:31:44.1	12.52	13.25	13	c	predict
V 641	p	8	2	3	0.504878	55485.8789	6:3:47.65	+42:19:7.1	12.9	13.65	12.9	c	predict
V 644	p	9	1	2	0.78045	51488.8	6:18:25.73	+34:29:39.1	11.22	11.53	11.53	R	predict
V 645	p	8	2	2	10.8925	52977.747	6:19:15.4	+28:26:23.3	9.72	10.26	10.1	V	predict
V 645	s	8	2	2	10.8925	52986.34118	6:19:15.4	+28:26:23.3	9.72	10.26	10.1	V	predict
V 646	p	9	1	1	0.4388	53000.7148	6:35:40.52	+42:4:14.9	13.4	13.8	13.4	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 676 Cen (C. Colazo, N. Marcionni)

VW Boo (M. Urbaník)

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

HW Vir (L. Šmelcer)

New transits TRESCA:

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)

WASP-25 b (P. Evans)

HAT-P-3 b (S. Poddaný)

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