Astroquery Examples#

Astroquery ( https://astroquery.readthedocs.io ) is a set of tools for querying astronomical web forms and databases. It is a coordinated package of the Astropy project ( http://www.astropy.org ).

This page is a Jupyter notebook. You can download an executable version of it by clicking the download icon above and selecting .ipynb.

General imports:

from astropy import coordinates
import astropy.units as u

from astroquery.simbad import Simbad
from astroquery.vizier import Vizier

SIMBAD queries#

SIMBAD allows for simple queries based on coordinates or object names.

Query by target ID#

Use query_object() to query for a single object ID. The query returns an Astropy table with the default fields.

result_table = Simbad.query_object("M57")
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()  # Display only MAIN_ID, RA, and DEC.
Table length=1
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 5718 53 35.0967+33 01 44.883

You can get a list of object IDs with query_objectids().

IDs = Simbad.query_objectids("Ring Nebula")
IDs.show_in_notebook(display_length=10)
Table length=34
idxID
0Gaia DR3 2090486618786534784
1PLX 4377
2BD+32 3246
3CSI+32-18517
4GCRV 11366
5GSC2 N0223131306
6HD 175353
7IRAS 18517+3257
8M 57
9NGC 6720
10PK 063+13 1
11PK 063+13
12PN G063.1+13.9
13PN ARO 9
14PN VV 214
15PN VV' 466
16WD 1851+329
17[LFO93] 1851+32
18PLX 4377.00
19NAME Ring Nebula
20[D71] 1851+32
21[FA87] 1851+329
22[A86] 1851+329
23B2.1 1851+32
24BWE 1851+3257
25GB6 B1851+3257
26MITG J185334+3301
27MITG J185337+3301
28NVSS J185335+330145
29WB 1851+3257
3087GB 185143.8+325740
31WN B1851.7+3257
32WEB 16043
33Gaia DR2 2090486618786534784

You can query a list of objects with query_objects(). This is more efficient than repeated requests for single objects. There are rate limits that may vary, but you should not submit more than ~5-10 queries per second. A list is treated as a single request and will not result in overtaxing the server.

result_table = Simbad.query_objects(["M1", "M2", "M3", "M4"])
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=4
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 105 34 30.9+22 00 53
1M 221 33 27.02-00 49 23.7
2M 313 42 11.62+28 22 38.2
3M 416 23 35.22-26 31 32.7

Wildcards and ranges can be used for identifiers.

* : Any string of characters (including an empty one)

? : Any character (exactly one character)

[abc] : Exactly one character taken from the list.

[A-Z] : Can also be defined by a range of characters.

[^0-9] : Any (one) character not in the list.

result_table = Simbad.query_object("m [1-9]", wildcard=True)
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=9
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 105 34 30.9+22 00 53
1M 221 33 27.02-00 49 23.7
2M 313 42 11.62+28 22 38.2
3M 416 23 35.22-26 31 32.7
4M 515 18 33.22+02 04 51.7
5NGC 640517 40 16.6-32 14 31
6NGC 647517 53 47.3-34 50 28
7M 818 03 37-24 23.2
8M 917 19 11.78-18 30 58.5

Generating a list of targets programmatically may be easier and more reliable than wildcard searches.

targets = [f'M{_}'for _ in range(1,11)]; targets
['M1', 'M2', 'M3', 'M4', 'M5', 'M6', 'M7', 'M8', 'M9', 'M10']
result_table = Simbad.query_objects(targets)
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=10
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 105 34 30.9+22 00 53
1M 221 33 27.02-00 49 23.7
2M 313 42 11.62+28 22 38.2
3M 416 23 35.22-26 31 32.7
4M 515 18 33.22+02 04 51.7
5NGC 640517 40 16.6-32 14 31
6NGC 647517 53 47.3-34 50 28
7M 818 03 37-24 23.2
8M 917 19 11.78-18 30 58.5
9M 1016 57 09.05-04 06 01.1

Query by region#

You can query all objects in a region with query_region(). Use a coordinate or object ID and a radius. When no radius is specified, the radius defaults to 20 arcmin. Coordinates should be an Astropy SkyCoord() object and the radius a Astropy Quantity().

coord = coordinates.SkyCoord("18h53m35s +33d01m45s", frame='icrs')
radius = 5 * u.arcminute

result_table = Simbad.query_region(coord, radius=radius)
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=8
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 5718 53 35.0967+33 01 44.883
1UCAC3 247-14340518 53 34.1995+33 02 55.423
2UCAC3 247-14340118 53 33.8083+33 02 54.923
3UCAC2 4347116018 53 34.2870+33 03 14.297
4GB6 J1853+330118 53 41+33 03.0
51RXS J185326.3+33002718 53 26.302+33 00 27.00
6LEDA 281372618 53 46.0+32 58 53
7IC 129618 53 18.8159+33 03 59.894

Query by catalog#

You can query all objects in a catalog with query_catalog. This can return a very large table so you should set a row limit on your query. When querying large catalogs query by criteria is better.

Simbad_ = Simbad()  # define a new instance of the class
Simbad_.ROW_LIMIT = 12  # Set a row limit on that instance.
result_table = Simbad_.query_catalog('ngc')
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=12
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0NGC 100 07 15.8562+27 42 29.020
1NGC 200 07 17.1156+27 40 42.034
2NGC 300 07 16.7979+08 18 05.976
3NGC 400 07 24.4+08 22 30
4NGC 500 07 48.8659+35 21 44.143
5NGC 700 08 20.96-29 54 54.0
6NGC 800 08 45.3+23 50 19
7NGC 900 08 54.6826+23 49 00.823
8NGC 1000 08 34.5389-33 51 30.197
9NGC 1100 08 42.494+37 26 52.39
10NGC 1200 08 44.7412+04 36 45.267
11NGC 1300 08 47.7150+33 25 59.974

Query by criteria#

You can execute very specific queries using the query_criteria() method. These queries are formed in much the same way as they are on the web interface. Descriptions of queryable fields and object types are on the SIMBAD website.

Below is an example query for variable stars near the Trapezium.

result_table = Simbad_.query_criteria('region(CIRCLE, Trapezium, 6m)', otype='V*')  # Using row limited instance.
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=12
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0V* KR Ori05 35 00.1168-05 23 01.884
1* tet01 Ori D05 35 17.2574-05 23 16.570
2* tet01 Ori E05 35 15.7721-05 23 09.889
3* tet01 Ori F05 35 16.7270-05 23 25.197
4* tet01 Ori A05 35 15.8254-05 23 14.334
5V* MR Ori05 35 16.9783-05 21 45.337
6V* AK Ori05 35 26.3491-05 25 40.220
7V* V420 Ori05 35 28.2055-05 24 58.186
8V* V404 Ori05 35 03.0920-05 22 37.827
9V* V377 Ori05 35 21.2917-05 24 57.399
10* tet02 Ori C05 35 31.4311-05 25 16.371
11V* LU Ori05 35 11.4964-05 26 02.389

Query a bibcode#

You can retrieve the references for a bibcode with query_bibcode().

example: Ritchey, G.W.

bibliography = Simbad.query_bibcode('1910ApJ....32...26R')
print(bibliography['References'][0])
1910ApJ....32...26R = DOI 10.1086/141784
Astrophys. J., 32, 26-35 (1910)
RITCHEY G.W.
On some methods and results in direct photography with the 60-inch reflecting telescope of the Mount Wilson Solar Observatory.

And get the objects referenced in the publication with query_bibobj().

result_table = Simbad.query_bibobj('1910ApJ....32...26R')
result_table['MAIN_ID', 'RA', 'DEC'].show_in_notebook()
Table length=7
idxMAIN_IDRADEC
"h:m:s""d:m:s"
0M 105 34 30.9+22 00 53
1M 8109 55 33.1726+69 03 55.062
2M 9711 14 47.7122+55 01 08.482
3MCG+09-19-01411 14 58.373+54 57 41.22
4M 5113 29 52.698+47 11 42.93
5NGC 519513 29 59.590+47 15 58.06
6M 5718 53 35.0967+33 01 44.883

Specifying additional VOTable fields to include in the result#

You can get a list of the current fields with Simbad.get_votable_fields(), and a list of available field with Simbad.list_votable_fields().

Simbad.get_votable_fields()
['main_id', 'coordinates']
Simbad.list_votable_fields()
--NOTES--

1. The parameter filtername must correspond to an existing filter. Filters include: B,V,R,I,J,K.  They are checked by SIMBAD but not astroquery.simbad

2. Fields beginning with rvz display the data as it is in the database. Fields beginning with rv force the display as a radial velocity. Fields beginning with z force the display as a redshift

3. For each measurement catalog, the VOTable contains all fields of the first measurement. When applicable, the first measurement is the mean one. 

Available VOTABLE fields:

bibcodelist(y1-y2)
biblio
cel
cl.g
coo(opt)
coo_bibcode
coo_err_angle
coo_err_maja
coo_err_mina
coo_qual
coo_wavelength
coordinates
dec(opt)
dec_prec
diameter
dim
dim_angle
dim_bibcode
dim_incl
dim_majaxis
dim_minaxis
dim_qual
dim_wavelength
dimensions
distance
distance_result
einstein
fe_h
flux(filtername)
flux_bibcode(filtername)
flux_error(filtername)
flux_name(filtername)
flux_qual(filtername)
flux_system(filtername)
flux_unit(filtername)
fluxdata(filtername)
gcrv
gen
gj
hbet
hbet1
hgam
id(opt)
ids
iras
irc
iso
iue
jp11
link_bibcode
main_id
measurements
membership
mesplx
mespm
mk
morphtype
mt
mt_bibcode
mt_qual
otype
otype(opt)
otypes
parallax
plx
plx_bibcode
plx_error
plx_prec
plx_qual
pm
pm_bibcode
pm_err_angle
pm_err_maja
pm_err_mina
pm_qual
pmdec
pmdec_prec
pmra
pmra_prec
pos
posa
propermotions
ra(opt)
ra_prec
rot
rv_value
rvz_bibcode
rvz_error
rvz_qual
rvz_radvel
rvz_type
rvz_wavelength
sao
sp
sp_bibcode
sp_nature
sp_qual
sptype
td1
typed_id
ubv
uvby
uvby1
v*
velocity
xmm
z_value
For more information on a field:
Simbad.get_field_description ('field_name') 
Currently active VOTABLE fields:
 ['main_id', 'coordinates']

Use Simbad.add_votable_fields() or Simbad.remove_votable_fields() to modify your query. You may wish to create a new instance of the Simbad object for your modifications.

Simbad_ = Simbad()  # define a new instance of the class
Simbad_.add_votable_fields('otype', 'flux(B)','flux(V)','flux(R)')
result_table = Simbad_.query_object('M57')
result_table['MAIN_ID', 'RA', 'DEC', 'OTYPE', 'FLUX_B', 'FLUX_V', 'FLUX_R',].show_in_notebook()
Table length=1
idxMAIN_IDRADECOTYPEFLUX_BFLUX_VFLUX_R
"h:m:s""d:m:s"magmagmag
0M 5718 53 35.0967+33 01 44.883PlanetaryNeb15.40515.76915.901

VizieR Queries#

You can search for catalogs by author name or keyword with Vizier.find_catalogs().

catalog_list = Vizier.find_catalogs('Washington Double Star Catalog')
WARNING: UnitsWarning: The unit 'a' has been deprecated in the VOUnit standard. Suggested: 365.25d. [astropy.units.format.utils]

This returns a OrderedDict of catalogs matching your query. The catalog.description attribute has a description of the catalog.

for k, v in catalog_list.items():
    print(k, v.description)
I/237 The Washington Visual Double Star Catalog, 1996.0 (Worley+, 1996)
B/wds The Washington Visual Double Star Catalog (Mason+ 2001-2020)
J/A+A/670/A102 WDS systems with rho>1000 arcsec (Gonzalez-Payo+, 2023)

You can retrieve a catalog by name. The default row limit is 50. Setting Vizier.ROW_LIMIT = -1 will retrieve all rows.

wds = Vizier.get_catalogs('B/wds')
wds[0].show_in_notebook(display_length=10)
Table length=50
idxWDSDiscCompObs1Obs2pa1pa2sep1sep2mag1mag2DMNotesn_RAJ2000RAJ2000DEJ2000_RA.icrs_DE.icrs
yryrdegdegarcsecarcsecmagmag
000000+7530A 1248190419822462350.80.6010.27011.50+74 105600 00 06.64+75 28 59.800 00 06.64+75 28 59.8
100000+4004ES 2543AB193120152522534.84.4012.10013.1000 00 03.66+40 05 19.400 00 03.66+40 05 19.4
200000+4004ES 2543AC19312015696620.014.4012.10014.1000 00 03.66+40 05 19.400 00 03.66+40 05 19.4
300000+3852BU 860188120161071076.76.606.62011.40+38 510800 00 01.20+38 51 33.400 00 01.20+38 51 33.4
400000+0044SKF11152001201533300.81.0017.80017.8023 59 59.85+00 43 32.723 59 59.85+00 43 32.7
500000-0530OCC 62219821982-1-10.10.109.5009.70-06 633700 00 00.08-05 29 39.700 00 00.08-05 29 39.7
600001+7727LOC 122200020162492498.28.1014.10016.60T00 00 08.32+77 26 37.000 00 08.32+77 26 37.0
700001+5400ES 704190820211191165.54.309.50011.5000 00 06.84+54 00 00.200 00 06.84+54 00 00.2
800001+3617GII 75201320222202201.01.0010.90011.8000 00 06.81+36 16 58.800 00 06.81+36 16 58.8
900001+2329SLW90182009201691922.12.1016.70017.1000 00 07.96+23 29 23.300 00 07.96+23 29 23.3
1000001+0638SLW90122005200529294.24.2017.30023.7000 00 03.39+06 37 01.500 00 03.39+06 37 01.5
1100001+0022SKF1060200120151871842.12.2020.10021.9000 00 03.15+00 21 33.300 00 03.15+00 21 33.3
1200001-0122CLZ 1199420163473476.26.2012.30016.4000 00 03.82-01 22 24.400 00 03.82-01 22 24.4
1300001-2432UC 3011954201528328346.947.0010.49012.99V00 00 05.16-24 31 45.000 00 05.16-24 31 45.0
1400001-5700KPP4401201520161451452.52.5014.20016.80T00 00 04.94-56 59 39.500 00 04.94-56 59 39.5
1500002+4119TDS1235AB19912007105550.51.2010.27010.67+40 521000 00 10.69+41 19 28.900 00 10.69+41 19 28.9
1600002+4119FYM 352AC1999201526026116.616.5010.30013.2000 00 10.69+41 19 28.900 00 10.69+41 19 28.9
1700002+3613TDS1236199120143453320.80.5011.79011.8800 00 11.45+36 13 26.500 00 11.45+36 13 26.5
1800002+2855TVB 171906201632032211.711.9012.51012.4200 00 10.03+28 54 32.600 00 10.03+28 54 32.6
1900002+0146WEI 451879201589831.81.8010.09010.52+00 5079N00 00 12.14+01 46 17.200 00 12.14+01 46 17.2
2000002+0014SKF1061200120161741731.41.4017.30018.0000 00 13.00+00 14 04.900 00 13.00+00 14 04.9
2100002-0021ITF 441951201516313.93.9013.00015.80V00 00 10.39-00 20 37.600 00 10.39-00 20 37.6
2200002-0309SLN 48200620152652656.16.1020.00020.20V00 00 11.63-03 08 31.900 00 11.63-03 08 31.9
2300002-2519COO 2731910202310119.08.4010.13010.20-2616866S00 00 09.71-25 19 29.300 00 09.71-25 19 29.3
2400002-3623LDS5152196020157785.084.2018.50018.5000 00 20.00-36 23 48.300 00 20.00-36 23 48.3
2500003+6557MLR 28019712016891.11.508.57010.90+65 197900 00 18.77+65 56 40.900 00 18.77+65 56 40.9
2600003+6024TDS1237199119912172171.81.8011.98012.17X00 00 17.81+60 23 58.300 00 17.81+60 23 58.3
2700003+5651CTT 119062015909349.446.108.59011.39+56 3129U00 00 20.41+56 51 11.400 00 20.41+56 51 11.4
2800003+1642HJ 31819542016636128.625.909.56012.88+15 4919NS00 00 13.77+16 40 56.600 00 13.77+16 40 56.6
2900003+0800UC 3021955201513013051.451.407.68014.41+07 5113V00 00 15.93+08 00 26.000 00 15.93+08 00 26.0
3000003-0257DVG 8189320163513557.07.809.70011.2000 00 16.73-02 56 52.100 00 16.73-02 56 52.1
3100003-0654LDS60791954201511155.7159.3017.90018.20U00 00 24.21-06 54 36.300 00 24.21-06 54 36.3
3200003-0941RST41371937201641430.71.0010.90011.50-10 621000 00 16.31-09 41 28.100 00 16.31-09 41 28.1
3300003-4118SKF11401964201629029017.417.309.30018.00-4115375V00 00 20.62-41 17 52.100 00 20.62-41 17 52.1
3400003-4417I 1477192620012613270.50.306.8007.56-4415420O00 00 19.10-44 17 26.000 00 19.10-44 17 26.0
3500004+7305HJ 3231AB183120152782828.023.4011.11014.00+72 113300 00 22.42+73 04 56.100 00 22.42+73 04 56.1
3600004+7305HJ 3231AC1831201830129625.044.9011.11011.8600 00 22.42+73 04 56.100 00 22.42+73 04 56.1
3700004+7139KPP 45199920161101104.94.9013.60014.30V00 00 24.84+71 38 45.300 00 24.84+71 38 45.3
3800004+6026STI124818982019434812.912.4010.37010.78+59 2807W00 00 24.78+60 25 31.200 00 24.78+60 25 31.2
3900004+5044HJ 1923182820152762796.011.5011.65012.1400 00 23.63+50 44 20.300 00 23.63+50 44 20.3
4000004+3549CRB 231954201615515537.437.2012.90015.60V00 00 23.33+35 48 40.800 00 23.33+35 48 40.8
4100004+2749TDS12381991201684881.00.8011.70011.71+27 465900 00 23.43+27 48 40.800 00 23.43+27 48 40.8
4200004+2430SKF1062200420161281261.51.4014.90015.8000 00 26.45+24 29 31.200 00 26.45+24 29 31.2
4300004+0830BU 732AB187820171521536.16.0010.05012.20+07 511400 00 25.49+08 30 07.900 00 25.49+08 30 07.9
4400004+0830BU 732AC18972014143142152.2153.1010.0508.47+07 511500 00 25.49+08 30 07.900 00 25.49+08 30 07.9
4500004-0902LDS60801954201626226115.716.0016.90017.8000 00 25.63-09 02 40.400 00 25.63-09 02 40.4
4600004-1052SKF 49619542016161616.016.1018.90020.10V00 00 22.54-10 51 42.200 00 22.54-10 51 42.2
4700004-4711HDS 1199120213323330.20.2010.97011.75-471477100 00 25.28-47 10 46.500 00 25.28-47 10 46.5
4800005+7822HEI 901197819951451460.20.2011.70011.80+77 93200 00 31.54+78 20 51.300 00 31.54+78 20 51.3
4900005+6713HJ 1924182820162252256.08.0010.83011.05+66 166900 00 29.27+67 13 00.400 00 29.27+67 13 00.4

You can query objects by ID or a list of object IDs with query_objects(). If you do not specify a catalog it will search across all catalogs in VizieR. This may return a very large number of records.

WASI 130 double stars

WDS_id = ['J02039+4220', 'J02291+6724', 'J02318+8916', 'J05353-0523', 'J07346+3153',
          'J12560+3819', 'J13239+5456', 'J17146+1423', 'J18443+3940', 'J19307+2758']
wds_query = Vizier.query_object(WDS_id, catalog='B/wds')

This returns an Astropy TableList with a table for each catalog.

wds_query[0].show_in_notebook(display_length=10)
Table length=106
idxWDSDiscCompObs1Obs2pa1pa2sep1sep2mag1mag2DMNotesn_RAJ2000RAJ2000DEJ2000_RA.icrs_DE.icrs
yryrdegdegarcsecarcsecmagmag
002039+4220STF 205A,BC17772021676312.09.502.3105.02+41 395NS02 03 53.92+42 19 47.502 03 53.92+42 19 47.5
102039+4220BAR 22AD1898189824524527.927.902.31015.00+41 395N02 03 53.92+42 19 47.502 03 53.92+42 19 47.5
202039+4220STT 38BC184320211181200.50.305.3006.50+41 395NO02 03 53.92+42 19 47.502 03 53.92+42 19 47.5
302291+6724STF 262BC18292015105999.58.506.9209.05+66 213N02 29 03.56+67 24 07.002 29 03.56+67 24 07.0
402291+6724CTU 2Ca,Cb200220182711010.40.204.5006.10N K02 29 03.94+67 24 08.602 29 03.94+67 24 08.6
502291+6724STF 262CD188020155758205.7207.109.0508.48+66 214N02 29 03.94+67 24 08.602 29 03.94+67 24 08.6
602291+6724CHR 6Aa,Ab19822010354420.50.604.6607.88+66 213NO02 29 03.96+67 24 08.702 29 03.96+67 24 08.7
702291+6724STF 262AB178220222902311.53.004.6606.92+66 213NO02 29 03.96+67 24 08.702 29 03.96+67 24 08.7
802291+6724STF 262AC177920221011177.56.904.6309.05+66 213NU02 29 03.96+67 24 08.702 29 03.96+67 24 08.7
902291+6724STF 262AD189220165860209.0210.904.6308.48N02 29 03.96+67 24 08.702 29 03.96+67 24 08.7
1002318+8916STF 93BC20052015818353.053.109.10013.80N02 30 43.45+89 15 38.602 30 43.45+89 15 38.6
1102318+8916STF 93BD2005201417817969.469.409.10014.30N02 30 43.45+89 15 38.602 30 43.45+89 15 38.6
1202318+8916WRH 39Aa,Ab193720142501750.20.102.3004.30+88 8NO02 31 49.09+89 15 50.702 31 49.09+89 15 50.7
1302318+8916STF 93AB1779201620323617.318.402.0409.10+88 8NV02 31 49.09+89 15 50.702 31 49.09+89 15 50.7
1402318+8916STF 93AC188420168810343.339.002.04013.80NU02 31 49.09+89 15 50.702 31 49.09+89 15 50.7
1502318+8916STF 93AD1884201617219482.783.202.04014.30NU02 31 49.09+89 15 50.702 31 49.09+89 15 50.7
1605352-0523GET 9DE20032003-1-11.81.8014.760--N05 35 10.50-05 22 45.705 35 10.50-05 22 45.7
1705352-0522DCH 106Qa,Qb201620163583580.10.1014.800--N05 35 10.51-05 22 45.505 35 10.51-05 22 45.5
1805352-0523REP 70AB200420041971970.40.409.940--N K05 35 10.91-05 22 46.405 35 10.91-05 22 46.4
1905352-0523GET 10AC20032003-1-12.12.109.940--N K05 35 10.91-05 22 46.405 35 10.91-05 22 46.4
2005352-0524GET 11CD20032003-1-12.82.8011.350--N K05 35 11.53-05 23 40.205 35 11.53-05 23 40.2
2105352-0524GET 12EF200320031801803.03.0012.270--N K05 35 11.71-05 23 30.505 35 11.71-05 23 30.5
2205352-0524PRS 11GH199119911631630.10.1015.00015.81N05 35 12.17-05 23 48.205 35 12.17-05 23 48.2
2305352-0523GET 13FG20032003-1-12.72.7013.120--N K05 35 12.73-05 22 54.605 35 12.73-05 22 54.6
2405352-0522GET 14Da,Db19992003-1-10.70.709.950--N K05 35 12.89-05 21 33.705 35 12.89-05 21 33.7
2505352-0523GET 15HI20032003-1-12.42.4020.450--N05 35 13.09-05 22 53.105 35 13.09-05 22 53.1
2605352-0522PRS 7Ea,Eb199120043493450.20.2018.48019.86N05 35 13.14-05 22 21.905 35 13.14-05 22 21.9
2705352-0524PRS 10IJ1991199197970.90.9021.03022.38N05 35 13.31-05 23 53.005 35 13.31-05 23 53.0
2805352-0521PRS 2Ea,Eb1991200448620.30.2019.69020.11N05 35 13.61-05 21 21.005 35 13.61-05 21 21.0
2905352-0522GET 20FG20032003-1-12.22.2014.400--N05 35 13.80-05 22 06.905 35 13.80-05 22 06.9
3005352-0524GET 21KL20032003-1-12.72.7011.490--N K05 35 13.88-05 24 26.105 35 13.88-05 24 26.1
3105352-0522SMN 1Ha,Hb199619961261260.40.4012.35013.92N05 35 13.90-05 22 02.505 35 13.90-05 22 02.5
3205352-0522GET 22IJ20032003-1-12.12.10----N05 35 13.91-05 22 29.805 35 13.91-05 22 29.8
3305352-0523DCH 107Ra,Rb201620163243240.10.1015.900--N05 35 14.07-05 22 36.605 35 14.07-05 22 36.6
3405352-0522PRS 6Ka,Kb19912004592380.30.3020.93021.31N05 35 14.23-05 22 04.005 35 14.23-05 22 04.0
3505352-0523GET 23JK20032003-1-12.52.508.710--N K05 35 14.35-05 22 32.605 35 14.35-05 22 32.6
3605352-0523GET 24LM20032003-1-11.71.709.920--N K05 35 14.36-05 22 54.005 35 14.36-05 22 54.0
3705352-0524DCH 108Sa,Sb201620163243240.10.1015.100--N05 35 14.39-05 23 33.605 35 14.39-05 23 33.6
3805352-0523GET 25NO20032003-1-12.62.6013.960--N05 35 14.71-05 22 38.205 35 14.71-05 22 38.2
3905352-0522GET 26LM20032003-1-12.82.8017.570--N05 35 14.73-05 22 29.705 35 14.73-05 22 29.7
4005352-0522SMN 2Na,Nb199619961451450.30.3012.40012.40N05 35 14.77-05 22 29.305 35 14.77-05 22 29.3
4105352-0522GET 27OP20032003-1-12.62.6022.100--N05 35 14.82-05 22 23.005 35 14.82-05 22 23.0
4205352-0524PRS 9Aa,Ab199119912972970.10.1017.85018.28N05 35 14.85-05 24 12.805 35 14.85-05 24 12.8
4305352-0524PRS 9Aa,B199120153393381.21.2017.85017.99N05 35 14.85-05 24 12.805 35 14.85-05 24 12.8
4405352-0523PRS 8PQ199120072872881.01.0020.14021.20N05 35 14.88-05 23 05.105 35 14.88-05 23 05.1
4505353-0522GET 29EF20032003-1-12.42.4013.110--N K05 35 15.09-05 22 31.405 35 15.09-05 22 31.4
4605353-0523GET 30JK20032003-1-12.82.8014.260--N05 35 15.19-05 22 54.305 35 15.19-05 22 54.3
4705353-0522PRS 14Ga,Gb199119913493490.10.1018.12018.44N05 35 15.33-05 22 26.305 35 15.33-05 22 26.3
4805353-0522SMN 4AB199619961131130.60.609.3109.50N K05 35 15.34-05 22 25.105 35 15.34-05 22 25.1
4905353-0522GET 31AC20032003-1-10.80.809.310--N K05 35 15.34-05 22 25.105 35 15.34-05 22 25.1
5005353-0521GET 32AB20032003-1-11.91.9018.630--05 35 15.40-05 21 13.905 35 15.40-05 21 13.9
5105353-0522GET 33HI20032003-1-12.32.3016.060--N05 35 15.49-05 22 48.505 35 15.49-05 22 48.5
5205353-0524GET 35AB20032003-1-11.61.6010.470--N K05 35 15.68-05 23 39.005 35 15.68-05 23 39.0
5305353-0524PRS 23Ca,Cb1991199183830.40.4018.96022.79N05 35 15.69-05 24 24.705 35 15.69-05 24 24.7
5405353-0523GET 36LM201620162622620.10.1014.500--N05 35 15.71-05 23 22.505 35 15.71-05 23 22.5
5505353-0524PAD 2Da,Db19941994-1-10.50.5014.00015.00N05 35 15.71-05 23 47.805 35 15.71-05 23 47.8
5605353-0523GET 37Ea,Eb20032003-1-12.22.2011.100--N05 35 15.77-05 23 09.805 35 15.77-05 23 09.8
5705353-0523STF 748HI188920152742691.31.6015.80016.30N05 35 15.79-05 23 22.505 35 15.79-05 23 22.5
5805353-0523PTR 1Aa,Ab19942018344130.20.206.5509.83N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
5905353-0523STF 748AB1831202131328.58.706.5507.49-05 1315N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
6005353-0523STF 748AC1820202113413212.612.806.5505.06N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
6105353-0523STF 748AD18202021969721.221.406.5506.38N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
6205353-0523STF 748AE183220213543543.94.406.55011.10N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
6305353-0523STF 748AH188920071781777.98.206.55015.80N05 35 15.82-05 23 14.305 35 15.82-05 23 14.3
6405353-0525PAD 3Aa,Ab19941994-1-10.50.5015.90016.0005 35 15.95-05 24 54.705 35 15.95-05 24 54.7
6505353-0524SMN 7Ea,Eb1996200454390.30.5013.790--N05 35 15.96-05 23 50.105 35 15.96-05 23 50.1
6607346+3153CIA 29Aa,Ab20072021382930.00.001.930--+32 1581NO07 34 35.86+31 53 17.807 34 35.86+31 53 17.8
6707346+3153STF1110AB17782022303505.25.501.9302.97+32 1581NO V07 34 35.86+31 53 17.807 34 35.86+31 53 17.8
6807346+3153STF1110AC1822202016216472.971.601.9309.83+32 1582NO V07 34 35.86+31 53 17.807 34 35.86+31 53 17.8
6907346+3153STF1110AD18842017223221216.5179.801.93010.07+32 1580NU07 34 35.86+31 53 17.807 34 35.86+31 53 17.8
7007346+3153CIA 29Ba,Bb20212021243020.00.002.970--NO07 34 36.10+31 53 18.507 34 36.10+31 53 18.5
7107346+3153STF1110BC1830202015816873.673.802.9709.83NV07 34 36.10+31 53 18.507 34 36.10+31 53 18.5
7207346+3153STF1110CD19592015243244166.6154.909.83010.07NU07 34 37.45+31 52 10.207 34 37.45+31 52 10.2
7312560+3819TOK 562BC19802015205205999.9999.905.61016.18N12 56 00.46+38 18 53.612 56 00.46+38 18 53.6
7412560+3819STF1692AB1777202023423022.019.302.8505.52+39 2580NV12 56 01.67+38 19 06.212 56 01.67+38 19 06.2
7513239+5456PEA 1Aa,Ab19252004247340.00.003.0003.00+55 1598NO13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
7613239+5456STF1744AB1755202014315413.914.702.2303.88+55 1598NV13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
7713239+5456STF1744AC183120207273720.0715.502.2304.01NV13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
7813239+5456SMR 4AD19132020101103498.7498.102.2307.62NU13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
7913239+5456SHY 247AE19911999321321999.9999.902.2306.88NV13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
8013239+5456SHY 247AF19911999359359999.9999.902.2309.86NV13 23 55.42+54 55 31.513 23 55.42+54 55 31.5
8117146+1423CHR 139Aa,Ab19861991862310.20.203.480--+14 3207NX17 14 38.86+14 23 24.917 14 38.86+14 23 24.9
8217146+1423STF2140AB177720201171039.04.703.4805.40NO17 14 38.86+14 23 24.917 14 38.86+14 23 24.9
8317146+1423AGC 16AC1888202033629623.516.603.48015.50+14 3207NU17 14 38.86+14 23 24.917 14 38.86+14 23 24.9
8417146+1423STF2140AD18782002393985.479.203.48011.10+14 3207NU17 14 38.86+14 23 24.917 14 38.86+14 23 24.9
8518443+3940STFA 37BC19032011173172210.6210.906.1005.25N18 44 20.30+39 40 14.418 44 20.30+39 40 14.4
8618443+3940STFA 37BD19032021173171212.2212.506.1005.38NV18 44 20.30+39 40 14.418 44 20.30+39 40 14.4
8718443+3940STFA 37BI18722015136137145.5151.306.10010.12N18 44 20.30+39 40 14.418 44 20.30+39 40 14.4
8818443+3940STF2382AB17772022453424.02.105.1506.10+39 3509NO18 44 20.34+39 40 12.418 44 20.34+39 40 12.4
8918443+3940STFA 37AB,CD18302021173172207.3209.404.6704.56NZ18 44 20.34+39 40 12.418 44 20.34+39 40 12.4
9018443+3940STFA 37AD19032021172172209.0208.205.1505.38N18 44 20.34+39 40 12.418 44 20.34+39 40 12.4
9118443+3940STFA 37AI18632021135137145.4150.405.15010.12+39 3512N18 44 20.34+39 40 12.418 44 20.34+39 40 12.4
9219307+2758BNU 10Aa,Ab197819951631600.10.003.3705.00+27 3410N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9319307+2758MCA 55Aa,Ac19762022186400.40.303.3705.16+27 3410NO19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9419307+2758STFA 43AB17552022585434.234.603.1904.68NS19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9519307+2758WAL 114AC1944202234034150.065.203.19010.99N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9619307+2758CTT 17AD189420223332107.9108.203.19012.24N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9719307+2758CTT 18AE1894202220720676.675.303.19011.81N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9819307+2758SMR 34AF19982022454558.459.103.19012.00N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
9919307+2758SMR 34AG199820224545161.6162.803.19012.50N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10019307+2758SMR 34AH1998202211911754.054.503.19012.50N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10119307+2758SMR 34AI1998202213213137.537.503.19012.50N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10219307+2758SMR 34AJ19912022210132139.7146.303.19010.00N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10319307+2758SMR 34AK19982022277277142.8141.903.19011.50N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10419307+2758SMR 34AL2012201226926912.012.003.19011.50N19 30 43.29+27 57 34.919 30 43.29+27 57 34.9
10519307+2758RBR 12Ba,Bb-1-1-1-1-1.0-1.005.1009.20+27 3411NX19 30 45.40+27 57 55.019 30 45.40+27 57 55.0