Databáze známých zákrytových dvojhvěd podle O-C brány

V níže uvedeném seznamu jsou uvedeny všechny známé zákrytové dvojhvězdy, jejich souřadnice, elementy a míra sledovanosti v posledních 10ti letech

Data jsou převzata z O-C brány, administrátor databáze je 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 Her			N10	N	PERIOD	MIN0	RA 2000	DE 2000	MAX	MINP	MINS
Z	p	1	9	158	3.992804	53245.97	17:58:6.98	+15:8:21.9	7.3	8.18	8.18	V	predict
Z	s	1	9	158	3.992804	13088.33	17:58:6.98	+15:8:21.9	7.3	8.18	8.18	V	predict
RX	p	1	9	405	1.7785724	53259.375	18:30:39.26	+12:36:40.4	7.28	7.87	7.74	V	predict
RX	s	1	9	405	1.7785724	33171.2873	18:30:39.26	+12:36:40.4	7.28	7.87	7.74	V	predict
SZ	p	1	157	1376	0.818096	54008.957	17:39:36.81	+32:56:46.8	9.86	11.87	10.1	V	predict
SZ	s	1	157	1376	0.818096	41864.73	17:39:36.81	+32:56:46.8	9.86	11.87	10.1	V	predict
TT	p	1	26	190	0.912078	48476.4	16:54:22.97	+16:50:13.2	9.61	10.34	9.89	V	predict
TT	s	1	26	190	0.912078	49549.469	16:54:22.97	+16:50:13.2	9.61	10.34	9.89	V	predict
TU	p	1	28	336	2.266948	53920.4811	17:13:35.37	+30:42:36	10.88	13.7	10.88	V	predict
TU	s	1	28	336	2.266948	54225.393	17:13:35.37	+30:42:36	10.88	13.7	10.88	V	predict
TX	p	1	32	465	2.05980944	40008.3643	17:18:36.45	+41:53:17.1	8.54	9.31	8.97	V	predict
TX	s	1	32	465	2.05980944	40009.3942	17:18:36.45	+41:53:17.1	8.54	9.31	8.97	V	predict
UX	p	1	22	413	1.548856	55648.8303	17:54:7.86	+16:56:37.9	9.05	10.21	9.11	V	predict
UX	s	1	22	413	1.548856	48108.224	17:54:7.86	+16:56:37.9	9.05	10.21	9.11	V	predict
AD	p	7	3	27	9.76661	52547.49	18:50:0.3	+20:43:16.5	9.7	11.17	9.79	V	predict
AK	p	1	62	645	0.4215225	42186.46	17:13:57.82	+16:21:0.6	8.29	8.77	8.64	V	predict
AK	s	1	62	645	0.4215225	53545.4387	17:13:57.82	+16:21:0.6	8.29	8.77	8.64	V	predict
AM	p	9	1	26	0.128927	51277.5182	18:16:13.34	+49:52:4.1	12.3	15.7	12.3	P	predict
AW	p	8	2	28	8.8008	52878.7147	18:25:38.72	+18:17:40.3	9.65	11	9.65	V	predict
BC	p	6	4	42	3.087343	24822.142	18:50:41.67	+12:29:53.5	11.8	13	11.8	P	predict
BO	p	5	5	44	4.272834	34193.497	18:40:30.09	+24:55:42.8	10.7	13.8	10.8	V	predict
BO	s	5	5	44	4.272834	55726.4452	18:40:30.09	+24:55:42.8	10.7	13.8	10.8	V	predict
BQ	p	10	0	3	1.014185	51276.445	18:45:40.79	+20:58:28.8	13.5	15	13.5	P	predict
BV	p	8	2	5	3.515904	55661.5599	18:50:37.86	+25:45:45.6	13.7	15.4	13.7	P	predict
CC	p	1	35	314	1.734021	55690.7694	16:17:38.89	+8:56:2.6	10.2	13.1	10.2	P	predict
CC	s	1	35	314	1.734021	44706.61	16:17:38.89	+8:56:2.6	10.2	13.1	10.2	P	predict
CT	p	1	25	216	1.7863748	42522.932	16:20:26.57	+18:27:16.8	10.6	11.7	10.6	P	predict
CT	s	1	25	216	1.7863748	49099.5714	16:20:26.57	+18:27:16.8	10.6	11.7	10.6	P	predict
DD	p	4	6	19	5.643405	26562.34	18:5:45.41	+28:28:43.4	11.4	12.2	11.4	P	predict
DD	s	4	6	19	5.643405	26565.1617	18:5:45.41	+28:28:43.4	11.4	12.2	11.4	P	predict
DH	p	7	3	60	4.779161	51417.54	18:47:34.56	+22:50:45.8	9.4	12	9.5	V	predict
DI	p	1	9	106	10.55016766	42233.3493	18:53:26.24	+24:16:40.8	8.39	9.11	8.95	V	predict
DI	s	1	9	106	10.55016766	51789.37072	18:53:26.24	+24:16:40.8	8.39	9.11	8.95	V	predict
DK	p	1	9	25	1.942295	55352.3872	17:12:43.95	+13:11:3.8	10.5	11.7	10.5	P	predict
DP	p	6	4	53	1.777024	52853.43	17:34:30.34	+15:4:30.6	12.4	15	13	P	predict
DP	s	6	4	53	1.777024	27606.35051	17:34:30.34	+15:4:30.6	12.4	15	13	P	predict
DQ	p	6	4	114	0.19362088	53475.1731	18:7:30.19	+45:51:32	13	18.08	13	V	predict
EF	p	8	2	26	4.729168	51273.245	16:55:26.1	+17:17:47.8	11	12	11	P	predict
ES	p	1	11	59	0.782029	44770.505	17:56:42.49	+32:52:30.9	13.1	14.4	13.7	P	predict
ES	s	1	11	59	0.782029	44771.678	17:56:42.49	+32:52:30.9	13.1	14.4	13.7	P	predict
FN	p	5	5	43	2.69127	28309.284	16:25:13.2	+11:17:52.8	10.5	11.5	10.5	P	predict
FT	p	10	0	7	5.648	26112.44	17:54:4.58	+28:57:48.8	13.8	14.8	13.8	P	predict
FW	p	4	6	8	0.835414	55352.5326	17:59:25.76	+25:43:13.2	14.4	14.9	14.6	P	predict
FW	s	4	6	8	0.835414	55278.60681	17:59:25.76	+25:43:13.2	14.4	14.9	14.6	P	predict
GL	p	1	9	106	2.344974	54282.558	18:50:28.35	+23:39:9	11.5	13.5	11.5	P	predict
GL	s	1	9	106	2.344974	54241.52582	18:50:28.35	+23:39:9	11.5	13.5	11.5	P	predict
GU	p	2	8	37	4.343076	31305.198	16:32:5.52	+30:23:9.7	11.5	12.3	11.8	P	predict
GU	s	2	8	37	4.343076	55411.443	16:32:5.52	+30:23:9.7	11.5	12.3	11.8	P	predict
HP	p	10	0	3	0.476408	27545.529	16:56:50.2	+32:20:8.8	15.3	16.5	15.3	P	predict
HP	s	10	0	3	0.476408	27546.767	16:56:50.2	+32:20:8.8	15.3	16.5	15.3	P	predict
HS	p	1	32	131	1.6374341	52856.3646	18:50:49.77	+24:43:12	8.5	8.97	8.63	V	predict
HS	s	1	32	131	1.6374341	52857.18332	18:50:49.77	+24:43:12	8.5	8.97	8.63	V	predict
HV	p	10	0	10	4.90561	27589.39	16:33:7.64	+33:31:25.5	12	13.2	12.2	c	predict
HW	p	10	0	2	3.403167	27629.52	16:53:2.2	+32:46:41	13.8	15.3	13.8	c	predict
HZ	p	6	4	10	1.700166	41397.584	16:57:49.75	+35:20:32.7	12.8	15.2	12.8	B	predict
HZ	s	6	4	10	1.700166	41398.43408	16:57:49.75	+35:20:32.7	12.8	15.2	12.8	B	predict
IK	p	1	10	16	1.099427	27589.433	17:0:6.8	+31:58:14.4	13.5	14	13.5	P	predict
IK	s	1	10	16	1.099427	55372.5098	17:0:6.8	+31:58:14.4	13.5	14	13.5	P	predict
IM	p	10	0	2	3.712615	27543.38	17:2:10.72	+32:11:53.4	14.1	14.9	14.1	P	predict
IT	p	1	23	43	0.3393957	50946.35	18:45:46.41	+25:19:59.4	12.9	13.3	12.9	P	predict
IT	s	1	23	43	0.3393957	51404.3676	18:45:46.41	+25:19:59.4	12.9	13.3	12.9	P	predict
IX	p	10	0	3	1.896818	25331.642	18:51:40.68	+24:9:32.6	14	16	14	P	predict
KL	p	9	1	4	0.68388	53281.59	18:54:9.61	+24:47:32.1	14.3	14.8	14.7	P	predict
LP	p	10	0	19	3.83975	52086.4532	18:55:41.21	+12:15:28.4	13	16.2	13	P	predict
LT	p	1	12	43	1.084032	49060.5829	16:50:20.45	+9:56:51.9	10.69	11.11	10.79	B	predict
LT	s	1	12	43	1.084032	51287.7312	16:50:20.45	+9:56:51.9	10.69	11.11	10.79	B	predict
LV	p	1	19	70	18.4359348	31326.275	17:35:32.4	+23:10:30.5	10.9	11.58	11.56	V	predict
LV	s	1	19	70	18.4359348	52432.879	17:35:32.4	+23:10:30.5	10.9	11.58	11.56	V	predict
MM	p	8	2	41	7.960322	51378.38272	17:58:38.52	+22:8:46.8	9.45	10.43	9.7	V	predict
MM	s	8	2	41	7.960322	31306.42516	17:58:38.52	+22:8:46.8	9.45	10.43	9.7	V	predict
MS	p	3	7	30	0.868042	55741.8631	18:16:53.42	+27:39:46.3	12.9	13.3	13.3	B	predict
MS	s	3	7	30	0.868042	51757.9821	18:16:53.42	+27:39:46.3	12.9	13.3	13.3	B	predict
MT	p	1	21	210	0.4877185	41117.417	18:21:50.6	+14:30:33	11.86	12.86	12.3	V	predict
MT	s	1	21	210	0.4877185	53555.46017	18:21:50.6	+14:30:33	11.86	12.86	12.3	V	predict
MX	p	2	8	68	2.3476	31657.38	17:50:50.72	+50:2:49.8	11.4	12.9	11.4	P	predict
MX	s	2	8	68	2.3476	31658.554	17:50:50.72	+50:2:49.8	11.4	12.9	11.4	P	predict
OS	p	9	1	19	0.792285	54925.60807	18:0:14.05	+34:39:24.7	13.26	14.36	13.26	V	predict
OS	s	9	1	19	0.792285	29965.84	18:0:14.05	+34:39:24.7	13.26	14.36	13.26	V	predict
PW	p	4	6	79	2.88107	26946.38	18:10:24.11	+33:24:11.2	9.84	10.44	10.1	V	predict
QV	p	10	0	11	3.221217	51275.305	18:15:11.05	+32:29:26.8	14.4	16.6	14.4	P	predict
QV	s	10	0	11	3.221217	26219.06	18:15:11.05	+32:29:26.8	14.4	16.6	14.4	P	predict
V 338	p	1	24	172	1.305748	43691.133	17:53:12.74	+43:46:23.3	10.07	11.15	10.13	V	predict
V 338	s	1	24	172	1.305748	43691.786	17:53:12.74	+43:46:23.3	10.07	11.15	10.13	V	predict
V 342	p	2	8	112	0.851731	35693.434	18:24:13	+25:4:50.7	10.5	11.3	10.7	P	predict
V 342	s	2	8	112	0.851731	52119.499	18:24:13	+25:4:50.7	10.5	11.3	10.7	P	predict
V 357	p	5	5	18	0.2820405	52051.5332	18:44:31.8	+12:55:32.2	13.4	13.95	13.4	R	predict
V 357	s	5	5	18	0.2820405	52051.674	18:44:31.8	+12:55:32.2	13.4	13.95	13.4	R	predict
V 359	p	1	16	151	1.755765	43673.422	16:56:28.71	+37:39:18.9	10.2	11.2	10.2	P	predict
V 359	s	1	16	151	1.755765	53225.6627	16:56:28.71	+37:39:18.9	10.2	11.2	10.2	P	predict
V 366	p	4	6	32	2.75832	27571.385	17:7:4.91	+27:37:47.4	12.2	14.1	12.2	P	predict
V 366	s	4	6	32	2.75832	55310.4342	17:7:4.91	+27:37:47.4	12.2	14.1	12.2	P	predict
V 381	p	1	11	51	1.346266	55341.4971	17:16:11.06	+20:51:19	12.6	13.7	12.6	P	predict
V 381	s	1	11	51	1.346266	54297.4702	17:16:11.06	+20:51:19	12.6	13.7	12.6	P	predict
V 387	p	1	10	52	0.589466	53764.652	17:18:47.05	+20:14:30.6	12.8	13.4	13.2	P	predict
V 387	s	1	10	52	0.589466	28314.75	17:18:47.05	+20:14:30.6	12.8	13.4	13.2	P	predict
V 403	p	10	0	10	0.8223	30131.441	17:27:28.94	+22:14:30.4	15.7	16.2	16	P	predict
V 412	p	6	4	47	0.3362122	29495.386	17:30:30.48	+25:54:14.5	14.7	15.5	15.2	V	predict
V 412	s	6	4	47	0.3362122	51283.788	17:30:30.48	+25:54:14.5	14.7	15.5	15.2	V	predict
V 423	p	10	0	11	2.651009	36403.467	17:33:56.02	+26:48:45.8	14.9	15.6	15	P	predict
V 426	p	9	1	38	0.4921282	27571.46	17:35:29.05	+23:1:27.7	15.5	15.8	15.8	V	predict
V 426	s	9	1	38	0.4921282	27571.706	17:35:29.05	+23:1:27.7	15.5	15.8	15.8	V	predict
V 450	p	1	10	165	1.825437	53631.3622	16:44:9.42	+34:12:30.5	10.1	10.7	10.1	P	predict
V 450	s	1	10	165	1.825437	53860.4621	16:44:9.42	+34:12:30.5	10.1	10.7	10.1	P	predict
V 477	p	9	1	33	0.3251705	29322.754	17:20:57.81	+26:18:20.2	14.9	15.5	15.4	P	predict
V 477	s	9	1	33	0.3251705	29322.591	17:20:57.81	+26:18:20.2	14.9	15.5	15.4	P	predict
V 490	p	8	2	20	1.496632	55747.4839	17:29:38.8	+22:49:10.8	13.9	15	13.9	P	predict
V 501	p	1	9	33	8.597685	55648.59428	17:35:43.45	+30:38:35	10.5	11	10.5	P	predict
V 501	s	1	9	33	8.597685	29748.065	17:35:43.45	+30:38:35	10.5	11	10.5	P	predict
V 502	p	1	19	76	0.3692771	53920.4549	17:35:49.34	+32:20:54.5	12.8	13.7	13.5	P	predict
V 502	s	1	19	76	0.3692771	53894.4196	17:35:49.34	+32:20:54.5	12.8	13.7	13.5	P	predict
V 513	p	3	7	57	0.3037692	30024.649	17:40:21.93	+24:15:47.4	15.3	15.7	15.7	V	predict
V 513	s	3	7	57	0.3037692	30024.801	17:40:21.93	+24:15:47.4	15.3	15.7	15.7	V	predict
V 516	p	9	1	17	0.4632348	29402.42	17:41:22.77	+24:51:50.1	16.4	17.1	17.1	P	predict
V 516	s	9	1	17	0.4632348	35962.535	17:41:22.77	+24:51:50.1	16.4	17.1	17.1	P	predict
V 607	p	8	2	12	1.712526	39538.619	16:40:54.5	+26:22:10.1	13.3	14.2	13.3	P	predict
V 607	s	8	2	12	1.712526	55707.453	16:40:54.5	+26:22:10.1	13.3	14.2	13.3	P	predict
V 624	p	4	6	10	3.894982	55770.46916	17:44:17.25	+14:24:36.2	6.18	6.36	6.35	V	predict
V 624	s	4	6	10	3.894982	40321.005	17:44:17.25	+14:24:36.2	6.18	6.36	6.35	V	predict
V 643	p	4	6	16	1.2230885	36069.386	18:33:9.85	+23:22:50.7	13.5	15	13.5	P	predict
V 643	s	4	6	16	1.2230885	36069.998	18:33:9.85	+23:22:50.7	13.5	15	13.5	P	predict
V 651	p	9	1	13	3.17485	44373.417	16:45:2.16	+8:48:33.2	12.6	13.9	12.6	P	predict
V 676	p	10	0	12	30.7975	43016	18:13:39.66	+37:28:38.8	13	14.1	13	P	predict
V 676	s	10	0	12	30.7975	39673.456	18:13:39.66	+37:28:38.8	13	14.1	13	P	predict
V 678	p	10	0	5	1.389665	39889.406	16:8:16.66	+24:42:13.7	15.2	15.6	15.2	P	predict
V 681	p	1	12	15	1.15862	55671.8692	16:11:39.09	+25:1:0	13.6	14.1	13.6	P	predict
V 681	s	1	12	15	1.15862	40038.029	16:11:39.09	+25:1:0	13.6	14.1	13.6	P	predict
V 685	p	10	0	11	0.589146	39593.495	16:13:52.11	+23:29:22.3	15.4	16	15.8	P	predict
V 685	s	10	0	11	0.589146	39593.79	16:13:52.11	+23:29:22.3	15.4	16	15.8	P	predict
V 687	p	5	5	25	0.321451	52427.498	16:14:21.62	+23:42:38.3	14.4	15	14.9	P	predict
V 687	s	5	5	25	0.321451	53159.2786	16:14:21.62	+23:42:38.3	14.4	15	14.9	P	predict
V 689	p	10	0	6	1.43385	40326.467	16:17:13.33	+16:38:54	15.6	16	15.6	P	predict
V 691	p	9	1	7	0.58716	38830.6	16:20:17.05	+17:45:46.1	13.3	13.7	13.3	P	predict
V 691	s	9	1	7	0.58716	38830.894	16:20:17.05	+17:45:46.1	13.3	13.7	13.3	P	predict
V 699	p	10	0	6	0.614205	39529.6	16:30:33.07	+17:0:47	15.4	16.2	16	P	predict
V 699	s	10	0	6	0.614205	40382.433	16:30:33.07	+17:0:47	15.4	16.2	16	P	predict
V 712	p	10	0	2	5.03028	41618.284	16:49:56.91	+46:14:20.8	13.7	15.3	13.7	R	predict
V 718	p	7	3	10	0.5960123	41604.252	17:7:40.56	+46:29:0	13.9	14.3	14.3	P	predict
V 718	s	7	3	10	0.5960123	41604.55	17:7:40.56	+46:29:0	13.9	14.3	14.3	P	predict
V 719	p	1	26	54	0.400925	41598.386	17:9:52.58	+42:56:8.1	12.5	13.6	12.5	P	predict
V 719	s	1	26	54	0.400925	55388.4044	17:9:52.58	+42:56:8.1	12.5	13.6	12.5	P	predict
V 722	p	9	1	2	0.504628	41618.214	17:10:51.92	+43:2:29.2	15	15.7	15.7	P	predict
V 728	p	1	50	162	0.4712892	46949.867	17:18:4.3	+41:50:39	10.9	11.5	11.4	P	predict
V 728	s	1	50	162	0.4712892	55388.5373	17:18:4.3	+41:50:39	10.9	11.5	11.4	P	predict
V 731	p	1	16	21	0.426408	41945.292	17:19:47.09	+43:59:16.3	13.3	13.9	13.8	P	predict
V 731	s	1	16	21	0.426408	55388.4487	17:19:47.09	+43:59:16.3	13.3	13.9	13.8	P	predict
V 732	p	3	7	16	0.2619877	54584.35466	17:20:18.9	+44:19:26.7	13.2	14.2	13.8	P	predict
V 732	s	3	7	16	0.2619877	47662.505	17:20:18.9	+44:19:26.7	13.2	14.2	13.8	P	predict
V 733	p	4	6	16	0.4174908	41598.42	17:20:51.49	+47:53:54.1	13.8	14.4	14.3	P	predict
V 733	s	4	6	16	0.4174908	55727.7728	17:20:51.49	+47:53:54.1	13.8	14.4	14.3	P	predict
V 740	p	9	1	1	0.990434	53116.489	17:32:58.1	+44:10:45	14.1	14.7	14.4	c	predict
V 742	p	1	9	15	0.5776513	53254.6583	17:37:43.92	+44:8:49.9	13.8	14.5	14.4	P	predict
V 742	s	1	9	15	0.5776513	53515.4699	17:37:43.92	+44:8:49.9	13.8	14.5	14.4	P	predict
V 747	p	8	2	28	0.898964	45229.426	16:54:51.27	+43:20:35.7	14.4	15	14.4	P	predict
V 770	p	10	0	19	1.471257	41566.28	17:27:32.77	+41:43:58.6	15.6	16.8	15.6	P	predict
V 772	p	3	7	29	0.879505	54713.8093	18:5:49.71	+21:26:45.2	6.9	7	6.9	V	predict
V 789	p	1	15	77	0.3200448	53082.6513	17:5:41.43	+42:30:44.4	14.9	15.6	14.9	P	predict
V 789	s	1	15	77	0.3200448	45138.656	17:5:41.43	+42:30:44.4	14.9	15.6	14.9	P	predict
V 792	p	10	0	9	27.537084	46894.48	17:10:25.6	+48:57:56.3	8.5	8.83	8.5	V	predict
V 807	p	10	0	11	2.11697	51275.095	17:23:16.77	+41:51:7.9	14.2	16.1	14.2	P	predict
V 811	p	9	1	10	0.941947	55737.8723	17:30:59.36	+43:24:49.5	14	15.4	14	P	predict
V 819	p	4	6	97	2.229636	54738.2917	17:21:43.62	+39:58:28.7	5.51	5.63	5.51	V	predict
V 819	s	4	6	97	2.229636	45840.928	17:21:43.62	+39:58:28.7	5.51	5.63	5.51	V	predict
V 822	p	1	12	15	1.391139	48148.709	18:52:1.92	+13:57:56.3	6.12	6.3	6.12	V	predict
V 822	s	1	12	15	1.391139	55739.46812	18:52:1.92	+13:57:56.3	6.12	6.3	6.12	V	predict
V 829	p	1	42	64	0.358152	47680.888	16:55:47.88	+35:10:57.6	11.9	12.5	11.9	V	predict
V 829	s	1	42	64	0.358152	47681.068	16:55:47.88	+35:10:57.6	11.9	12.5	11.9	V	predict
V 836	p	10	0	7	1.6166	51259.91	18:11:32.85	+23:55:12.7	10.7	11.4	10.7	V	predict
V 836	s	10	0	7	1.6166	51755.402	18:11:32.85	+23:55:12.7	10.7	11.4	10.7	V	predict
V 842	p	1	40	164	0.419037	54610.4707	16:6:2.21	+50:11:13.1	9.85	10.45	9.85	V	predict
V 842	s	1	40	164	0.419037	53846.3611	16:6:2.21	+50:11:13.1	9.85	10.45	9.85	V	predict
V 854	p	10	0	1	0.78068	51273.743	16:38:4.35	+34:20:32.4	14.7	15.8	14.7	B	predict
V 856	p	1	13	14	1.22331	51275.296	16:44:3.77	+39:23:33	12.8	13.8	12.8	V	predict
V 856	s	1	13	14	1.22331	51275.908	16:44:3.77	+39:23:33	12.8	13.8	12.8	V	predict
V 857	p	1	25	51	0.38223	54599.4919	16:46:53.56	+38:38:58.3	10.9	11.5	10.9	p	predict
V 857	s	1	25	51	0.38223	53516.4427	16:46:53.56	+38:38:58.3	10.9	11.5	10.9	p	predict
V 861	p	1	13	18	0.3446322	53212.336	16:51:12.79	+41:17:57.8	13.8	14.15	13.8	B	predict
V 861	s	1	13	18	0.3446322	53212.508	16:51:12.79	+41:17:57.8	13.8	14.15	13.8	B	predict
V 865	p	8	2	27	5.0952	54206.43199	16:59:36.65	+41:57:24.8	12.95	14.1	12.95	B	predict
V 878	p	1	21	47	0.529475	49922.707	17:24:25.28	+49:38:37.3	9.37	9.87	9.37	V	predict
V 878	s	1	21	47	0.529475	51338.7983	17:24:25.28	+49:38:37.3	9.37	9.87	9.37	V	predict
V 883	p	9	1	2	0.695105	51274.749	17:50:46.52	+28:0:49.8	13.13	13.35	13.13	V	predict
V 899	p	1	9	12	0.42117	48500.136	16:35:1.96	+33:12:47.8	7.931	8.068	7.931	V	predict
V 899	s	1	9	12	0.42117	54931.6258	16:35:1.96	+33:12:47.8	7.931	8.068	7.931	V	predict
V 912	p	10	0	2	3.40985	48002.955	16:44:40.1	+38:37:23.6	8.59	8.73	8.59	V	predict
V 912	s	10	0	2	3.40985	51319.061	16:44:40.1	+38:37:23.6	8.59	8.73	8.59	V	predict
V 921	p	1	13	15	0.877379	55298.9376	16:49:31.24	+47:6:28.8	9.441	9.803	9.441	V	predict
V 921	s	1	13	15	0.877379	53821.8693	16:49:31.24	+47:6:28.8	9.441	9.803	9.441	V	predict
V 923	p	8	2	4	1.364758	48500.623	16:50:44.16	+30:24:8.8	9.095	9.273	9.095	V	predict
V 923	s	8	2	4	1.364758	48501.30538	16:50:44.16	+30:24:8.8	9.095	9.273	9.095	V	predict
V 935	p	10	0	2	1.63394	48501.343	17:7:45.57	+24:35:0.5	8.492	8.63	8.492	V	predict
V 935	s	10	0	2	1.63394	48502.16	17:7:45.57	+24:35:0.5	8.492	8.63	8.492	V	predict
V 948	p	6	4	6	1.27521	48501.107	17:22:57.7	+29:20:42.5	9.015	9.306	9.015	V	predict
V 972	p	5	5	12	0.4430605	48500.064	17:58:5	+32:38:53	6.719	6.793	6.719	V	predict
V 972	s	5	5	12	0.4430605	53440.474	17:58:5	+32:38:53	6.719	6.793	6.719	V	predict
V 994	p	1	52	54	1.420033	55392.44428	18:27:45.89	+24:41:50.7	6.934	7.243	6.934	V	predict
V 994	s	1	52	54	1.420033	54653.3886	18:27:45.89	+24:41:50.7	6.934	7.243	6.934	V	predict
V1002	p	9	1	3	1.604377	48501.604	18:49:30.11	+18:11:13.5	8.988	9.136	8.988	V	predict
V1005	p	3	7	31	0.278962	50624.743	16:31:54.44	+50:21:10.5	14.11	14.68	14.11	R	predict
V1005	s	3	7	31	0.278962	50624.8825	16:31:54.44	+50:21:10.5	14.11	14.68	14.11	R	predict
V1011	p	7	3	4	1.76797	54026.32964	18:29:31.48	+22:34:24.4	10.4	11.6	10.4	P	predict
V1021	p	10	0	2	1.22665	51439.722	15:57:45.4	+49:27:55.1	13.62	14.05	13.62	c	predict
V1024	p	1	11	17	0.5308265	54555.8497	16:10:5.1	+25:36:54.9	12.5	13.2	12.5	V	predict
V1024	s	1	11	17	0.5308265	54955.83	16:10:5.1	+25:36:54.9	12.5	13.2	12.5	V	predict
V1025	p	8	2	3	0.56156	55696.818	16:21:9.23	+25:39:22.8	12.1	12.5	12.1	V	predict
V1026	p	8	2	4	0.829383	51275.853	16:31:53.61	+25:27:19.4	12.2	12.6	12.2	V	predict
V1026	s	8	2	4	0.829383	51276.268	16:31:53.61	+25:27:19.4	12.2	12.6	12.2	V	predict
V1031	p	8	2	4	1.436758	55698.8445	16:45:8.46	+20:37:0.3	12.1	12.5	12.1	V	predict
V1031	s	8	2	4	1.436758	51295.896	16:45:8.46	+20:37:0.3	12.1	12.5	12.1	V	predict
V1032	p	2	8	10	0.685192	51308.855	16:47:55.19	+35:17:56.1	13.4	13.7	13.4	V	predict
V1032	s	2	8	10	0.685192	54934.5507	16:47:55.19	+35:17:56.1	13.4	13.7	13.4	V	predict
V1033	p	1	27	37	0.298051	52056.413	16:50:39.92	+27:44:23.1	11.19	11.39	11.19	V	predict
V1033	s	1	27	37	0.298051	52056.562	16:50:39.92	+27:44:23.1	11.19	11.39	11.19	V	predict
V1034	p	1	11	24	0.81529	53596.3613	16:52:41.79	+12:49:5	12.88	13.98	12.88	V	predict
V1034	s	1	11	24	0.81529	53518.501	16:52:41.79	+12:49:5	12.88	13.98	12.88	V	predict
V1035	p	4	6	8	0.971205	54645.45933	16:52:52.76	+38:39:28.5	10.9	11.4	10.9	P	predict
V1035	s	4	6	8	0.971205	54556.59557	16:52:52.76	+38:39:28.5	10.9	11.4	10.9	P	predict
V1036	p	1	18	28	0.391676	53917.3889	16:55:51.9	+24:53:36.1	11.31	11.61	11.31	V	predict
V1036	s	1	18	28	0.391676	53614.4289	16:55:51.9	+24:53:36.1	11.31	11.61	11.31	V	predict
V1037	p	4	6	8	0.7875767	55719.4146	16:56:56.95	+29:19:6.4	12	12.3	12	V	predict
V1037	s	4	6	8	0.7875767	55750.5258	16:56:56.95	+29:19:6.4	12	12.3	12	V	predict
V1038	p	1	38	50	0.2681795	52056.4333	16:58:19.78	+33:40:21.5	11.8	12.4	11.8	V	predict
V1038	s	1	38	50	0.2681795	52056.5674	16:58:19.78	+33:40:21.5	11.8	12.4	11.8	V	predict
V1039	p	1	12	20	0.507761	53236.3893	16:59:23.95	+15:12:28.2	12.54	12.74	12.54	V	predict
V1039	s	1	12	20	0.507761	53917.5532	16:59:23.95	+15:12:28.2	12.54	12.74	12.54	V	predict
V1040	p	8	2	3	1.113676	51288.8869	16:59:31	+19:12:55.6	12.5	13	12.5	V	predict
V1040	s	8	2	3	1.113676	51289.4437	16:59:31	+19:12:55.6	12.5	13	12.5	V	predict
V1041	p	8	2	4	1.114125	51265.8278	17:1:1.21	+49:23:16.5	11.6	12.1	11.6	V	predict
V1041	s	8	2	4	1.114125	51266.385	17:1:1.21	+49:23:16.5	11.6	12.1	11.6	V	predict
V1042	p	1	13	42	0.511155	51766.664	17:2:50.55	+21:40:0.2	12.08	12.66	12.08	V	predict
V1042	s	1	13	42	0.511155	52014.8379	17:2:50.55	+21:40:0.2	12.08	12.66	12.08	V	predict
V1043	p	8	2	12	0.410251	51766.7985	17:6:10.56	+49:55:23.7	13.63	14.71	13.63	V	predict
V1043	s	8	2	12	0.410251	54546.0269	17:6:10.56	+49:55:23.7	13.63	14.71	13.63	V	predict
V1044	p	1	34	63	0.2406405	52065.5005	17:10:17.98	+38:26:41.6	13.07	13.27	13.07	V	predict
V1044	s	1	34	63	0.2406405	52065.6208	17:10:17.98	+38:26:41.6	13.07	13.27	13.07	V	predict
V1045	p	1	9	11	0.510283	55365.4138	17:10:59.94	+46:17:20.2	10.9	11.4	10.9	V	predict
V1045	s	1	9	11	0.510283	51285.953	17:10:59.94	+46:17:20.2	10.9	11.4	10.9	V	predict
V1046	p	8	2	4	4.2145	55727.7087	17:11:30.33	+23:14:12	12.5	12.95	12.5	V	predict
V1046	s	8	2	4	4.2145	51313.01	17:11:30.33	+23:14:12	12.5	12.95	12.5	V	predict
V1047	p	1	27	35	0.320736	52073.3641	17:12:39.49	+33:7:59.6	12.26	12.78	12.26	c	predict
V1047	s	1	27	35	0.320736	52073.5243	17:12:39.49	+33:7:59.6	12.26	12.78	12.26	c	predict
V1049	p	3	7	9	0.72733	55385.4264	17:16:42	+21:23:5.9	10.8	11.2	10.8	V	predict
V1049	s	3	7	9	0.72733	51274.914	17:16:42	+21:23:5.9	10.8	11.2	10.8	V	predict
V1050	p	4	6	8	0.28786	51265.78	17:16:49.98	+38:21:58.7	12.4	12.9	12.55	c	predict
V1050	s	4	6	8	0.28786	51265.924	17:16:49.98	+38:21:58.7	12.4	12.9	12.55	c	predict
V1051	p	10	0	2	0.5582	51286.8856	17:17:27.76	+27:13:0.1	12.5	12.8	12.5	V	predict
V1051	s	10	0	2	0.5582	51287.724	17:17:27.76	+27:13:0.1	12.5	12.8	12.5	V	predict
V1052	p	1	12	14	0.370829	54959.47275	17:18:24.84	+22:28:51.4	12.2	12.65	12.2	V	predict
V1052	s	1	12	14	0.370829	54954.46807	17:18:24.84	+22:28:51.4	12.2	12.65	12.2	V	predict
V1053	p	1	21	44	0.287796	54697.501	17:18:39.97	+35:54:25.2	13.57	13.77	13.57	V	predict
V1053	s	1	21	44	0.287796	52056.5406	17:18:39.97	+35:54:25.2	13.57	13.77	13.57	V	predict
V1054	p	5	5	7	0.648206	51283.7995	17:20:7.81	+13:39:57.7	11.9	12.3	11.9	V	predict
V1054	s	5	5	7	0.648206	51308.77	17:20:7.81	+13:39:57.7	11.9	12.3	11.9	V	predict
V1055	p	1	44	54	0.315409	52056.3775	17:20:23.93	+41:15:12.8	11.32	11.52	11.32	V	predict
V1055	s	1	44	54	0.315409	54697.457	17:20:23.93	+41:15:12.8	11.32	11.52	11.32	V	predict
V1056	p	10	0	2	1.876	51311.884	17:21:42.59	+40:54:24.1	10.2	10.3	10.2	V	predict
V1056	s	10	0	2	1.876	51265.918	17:21:42.59	+40:54:24.1	10.2	10.3	10.2	V	predict
V1057	p	1	9	11	0.943522	51295.891	17:23:3.6	+17:57:0.6	11.8	12.2	11.8	V	predict
V1057	s	1	9	11	0.943522	51296.363	17:23:3.6	+17:57:0.6	11.8	12.2	11.8	V	predict
V1058	p	10	0	8	11.0699	52090.8153	17:26:2.12	+30:47:13	12.6	13.8	12.6	V	predict
V1058	s	10	0	8	11.0699	52096.3503	17:26:2.12	+30:47:13	12.6	13.8	12.6	V	predict
V1060	p	7	3	4	4.72506	55388.45766	17:27:41.31	+27:45:3.5	12.1	12.8	12.1	V	predict
V1061	p	8	2	3	1.298178	51278.7902	17:28:16.98	+21:15:56.3	11.4	12	11.4	V	predict
V1062	p	1	17	29	0.251435	53847.4685	17:34:54.27	+44:11:53.1	13.1	13.7	13.1	V	predict
V1062	s	1	17	29	0.251435	51746.6029	17:34:54.27	+44:11:53.1	13.1	13.7	13.1	V	predict
V1063	p	9	1	2	1.65981	51295.868	17:36:21.19	+30:32:13.8	10.8	11	10.8	V	predict
V1063	s	9	1	2	1.65981	51296.697	17:36:21.19	+30:32:13.8	10.8	11	10.8	V	predict
V1064	p	5	5	7	0.343151	53863.448	17:39:20.61	+35:42:10.5	11.3	11.6	11.3	V	predict
V1064	s	5	5	7	0.343151	51304.7388	17:39:20.61	+35:42:10.5	11.3	11.6	11.3	V	predict
V1065	p	3	7	53	0.397828	51296.738	17:41:3.36	+27:34:34.4	11.5	12.1	11.5	V	predict
V1065	s	3	7	53	0.397828	54565.8912	17:41:3.36	+27:34:34.4	11.5	12.1	11.5	V	predict
V1066	p	1	15	17	0.539623	51312.716	17:41:50.97	+47:51:3.9	11.8	12.3	11.8	V	predict
V1066	s	1	15	17	0.539623	55446.50081	17:41:50.97	+47:51:3.9	11.8	12.3	11.8	V	predict
V1067	p	1	23	35	0.2581094	53847.4259	17:43:10.95	+43:27:8.9	12.58	13.21	12.58	V	predict
V1067	s	1	23	35	0.2581094	53847.5546	17:43:10.95	+43:27:8.9	12.58	13.21	12.58	V	predict
V1068	p	1	18	20	0.394304	51275.859	17:43:23.1	+47:51:41.4	12.4	13	12.4	V	predict
V1068	s	1	18	20	0.394304	51276.056	17:43:23.1	+47:51:41.4	12.4	13	12.4	V	predict
V1069	p	6	4	6	0.486617	51243.9763	17:47:43.86	+46:32:31.7	12.3	13	12.3	V	predict
V1069	s	6	4	6	0.486617	51244.22	17:47:43.86	+46:32:31.7	12.3	13	12.3	V	predict
V1070	p	10	0	3	1.26614	51721.65	17:49:53.05	+37:8:39.8	12	13.5	12	V	predict
V1070	s	10	0	3	1.26614	51266.4636	17:49:53.05	+37:8:39.8	12	13.5	12	V	predict
V1072	p	2	8	10	0.588031	55439.34557	17:59:9.55	+49:36:6.2	12.7	13.2	12.7	V	predict
V1072	s	2	8	10	0.588031	54947.45934	17:59:9.55	+49:36:6.2	12.7	13.2	12.7	V	predict
V1073	p	1	47	56	0.2942818	54202.5892	18:8:35.76	+33:42:4.9	11	11.7	11	V	predict
V1073	s	1	47	56	0.2942818	51746.6597	18:8:35.76	+33:42:4.9	11	11.7	11	V	predict
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V1092	p	6	4	5	0.384435	54947.4747	17:16:39.9	+29:34:5	11.93	12.43	11.93	c	predict
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V1094	s	1	11	19	0.392122	55321.7976	17:26:31.22	+35:1:15.6	12.6	13.1	12.6	c	predict
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V1095	s	1	18	26	0.415379	52442.775	17:28:3.29	+43:41:25.8	11.9	12.4	11.9	c	predict
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V1096	s	1	23	37	0.241416	54937.5854	17:28:44.89	+43:48:18.8	13.05	13.4	13.05	c	predict
V1097	p	1	36	45	0.360847	53612.3452	17:33:27.94	+26:55:47.5	10.75	11.3	10.75	c	predict
V1097	s	1	36	45	0.360847	53612.5256	17:33:27.94	+26:55:47.5	10.75	11.3	10.75	c	predict
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V1103	s	1	24	26	0.291353	52526.51608	18:8:18.6	+34:34:36	11.9	12.4	11.9	c	predict
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V1109	p	9	1	1	2.59849	52760.834	18:49:29.4	+12:8:41	9.3	9.57	9.3	V	predict
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V1133	s	6	4	7	2.46753	55737.8249	17:54:43.9	+15:53:17	12.65	14.1	13.2	V	predict
V1134	p	8	2	3	0.602937	51484.658	18:28:14.5	+12:19:51	12.5	13	12.5	V	predict
V1134	s	8	2	3	0.602937	51484.959	18:28:14.5	+12:19:51	12.5	13	12.5	V	predict
V1135	p	10	0	1	40	51448.35	18:32:13.1	+12:17:4	12.65	13.05	12.77	V	predict
V1137	p	10	0	1	0.37083	51397.7	15:49:34.75	+49:50:12.3	14.3	14.7	14.3	R	predict
V1138	p	10	0	1	0.4609	51394.822	15:50:9.25	+49:36:39	13.8	14.1	13.8	R	predict
V1140	p	10	0	1	0.373	51390.675	15:53:9.83	+46:52:5.7	13.7	14.1	13.7	R	predict
V1143	p	1	15	17	0.318275	55074.4589	17:20:21.6	+16:30:52	13	14	14	c	predict
V1143	s	1	15	17	0.318275	52856.5545	17:20:21.6	+16:30:52	13	14	14	c	predict
V1144	p	10	0	1	0.25497	51373.105	15:56:57.51	+42:13:36.9	14.6	15.4	14.6	R	predict
V1146	p	10	0	1	7.654	51277.84	15:58:18.67	+48:14:47.2	11.1	11.45	11.1	c	predict
G0963.0246	p	1	12	12	0.385493	53906.4903	16:27:44.9	+11:3:38	11.39	11.72	11.69	R	predict
G0963.0246	s	1	12	12	0.385493	53906.68075	16:27:44.9	+11:3:38	11.39	11.72	11.69	R	predict
G0950.0560	p	7	3	4	1.232495	52385.72	16:14:4	+10:57:36	11.36	11.92	11.36	V	predict
G1518.0913	p	1	12	12	0.321205	54318.4142	16:24:46	+21:39:6	10.89	11.07	11.04	R	predict
G1518.0913	s	1	12	12	0.321205	53900.687	16:24:46	+21:39:6	10.89	11.07	11.04	R	predict
G1549.0121	p	1	15	17	0.397694	54288.3991	17:23:47.3	+20:54:41	13	14	14	c	predict
G1549.0121	s	1	15	17	0.397694	52875.59	17:23:47.3	+20:54:41	13	14	14	c	predict
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G2587.0289	s	1	13	13	0.337043	53898.5664	16:28:17.3	+37:11:24	11	11.41	11.36	R	predict
G2587.1888	p	1	12	12	0.31076	54295.4476	16:29:19.8	+35:40:2	11.14	11.31	11.31	R	predict
G2587.1888	s	1	12	12	0.31076	53877.6248	16:29:19.8	+35:40:2	11.14	11.31	11.31	R	predict
G3089.1247	p	1	10	10	0.296332	54947.41845	17:51:23.5	+37:43:5	12.63	13	12.63	V	predict
G3089.1247	s	1	10	10	0.296332	54337.4197	17:51:23.5	+37:43:5	12.63	13	12.63	V	predict
G3097.1297	p	1	13	15	0.370365	53617.4739	17:53:7.55	+42:34:34	11.7	12.1	12.1	c	predict
G3097.1297	s	1	13	15	0.370365	53941.36	17:53:7.55	+42:34:34	11.7	12.1	12.1	c	predict
G3101.0547	p	1	15	17	0.369881	54364.3497	17:56:35.77	+43:48:20.8	12.12	12.5	12.5	V	predict
G3101.0547	s	1	15	17	0.369881	53941.392	17:56:35.77	+43:48:20.8	12.12	12.5	12.5	V	predict
G3101.0683	p	1	16	16	0.3162897	54707.448	17:52:39.11	+43:49:29	12.72	13.1	12.72	V	predict
G3101.0683	s	1	16	16	0.3162897	54706.3421	17:52:39.11	+43:49:29	12.72	13.1	12.72	V	predict
G3106.1368	p	1	11	13	0.358363	53229.5386	18:0:25.53	+40:11:3.3	12.75	13.1	13.1	V	predict
G3106.1368	s	1	11	13	0.358363	53941.435	18:0:25.53	+40:11:3.3	12.75	13.1	13.1	V	predict
G3510.0005	p	1	12	14	0.349236	53250.485	17:47:37	+45:2:13.9	12.05	12.5	12.45	c	predict
G3510.0005	s	1	12	14	0.349236	53984.4057	17:47:37	+45:2:13.9	12.05	12.5	12.45	c	predict
G3532.0553	p	1	15	15	0.317594	53600.4877	18:10:58.2	+49:10:52.5	13.27	13.82	13.27	c	predict
G3532.0553	s	1	15	15	0.317594	53600.6465	18:10:58.2	+49:10:52.5	13.27	13.82	13.27	c	predict
u	p	1	14	262	2.051027	53428.216	17:17:19.57	+33:6:0.4	4.69	5.37	4.93	V	predict
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VYSVĚTLIVKY K TABULCE:
Star - název proměnné, 2. sloupec - primární / sekundární minima, 3. sloupec - "kanadské bodování" za posledních 10 let, N10 - počet pozorování za posledních 10 let, N - celkový počet pozorování, CCD, viz i pg minima mají stejnou hodnotu 1 bodu, PERIOD - perioda ve dnech, MIN0 - základní minimum, RA 2000 - rektascenze, DE 2000 - deklinace, MAX - hvězdná velikost v maximu, MINP - hvězdná velikost v primárním minimu, MINS - hvězdná velikost v sekundárním minimu, spektrální obor, pro který jsou údaje o hvězdné velikosti.

VÝPOČET KANADSKÉHO BODOVÁNÍ:
Pro každý objekt byla spočítána dostupná pozorování za posledních 10 let. 1 CCD minimu byla dána hodnota 1, 1 vizuálnímu / pg minimu byla dána hodnota 0,1.
Např. 1 CCD minimum + 1 vizuální minimum = hodnota N10 1.1
Pro takto získanou hodnotu N10 (počet CCD pozorování za posledních 10 let) byl proveden rozdíl 10 - N10 a zaokrouhlen na celé číslo. To pak představuje výsledné kanadské bodování sledovanosti systému.
Příklad: Pokud budeme mít za posledních 10 let 1 pozorování, bude mít objekt 9 bodů. 2 pozorování odpovídají 8 bodům, atd. až 10 a více pozorování odpovída 1 bodu stupnice.