Catalog Queries¶
The Catalogs class provides access to a subset of the astronomical catalogs stored at MAST. The catalogs currently available through this interface are:
The Hubble Source Catalog (HSC)
The GALEX Catalog (V2 and V3)
The Gaia (DR1 and DR2) and TGAS Catalogs
The TESS Input Catalog (TIC)
The TESS Candidate Target List (CTL)
The Disk Detective Catalog
The PanSTARRS Catalog (DR1 and DR2)
The All-Sky PLATO Input Catalog (DR1)
Catalog Positional Queries¶
Positional queries can be based on a sky position or a target name. The returned fields vary by catalog, find the field documentation for specific catalogs here. If no catalog is specified, the Hubble Source Catalog will be queried.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_object("158.47924 -7.30962", catalog="Galex")
>>> print(catalog_data[:10])
distance_arcmin objID survey ... fuv_flux_aper_7 fuv_artifact
------------------ ------------------- ------ ... --------------- ------------
0.3493802506329695 6382034098673685038 AIS ... 0.047751952 0
0.7615422488595471 6382034098672634783 AIS ... -- 0
0.9243329366166956 6382034098672634656 AIS ... -- 0
1.162615739258038 6382034098672634662 AIS ... -- 0
1.2670891287503308 6382034098672634735 AIS ... -- 0
1.492173395497916 6382034098674731780 AIS ... 0.0611195639 0
1.6051235757244107 6382034098672634645 AIS ... -- 0
1.705418541388336 6382034098672634716 AIS ... -- 0
1.7463721100195875 6382034098672634619 AIS ... -- 0
1.7524423152919317 6382034098672634846 AIS ... -- 0
Some catalogs have a maximum number of results they will return. If a query results in this maximum number of results a warning will be displayed to alert the user that they might be getting a subset of the true result set.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_region("322.49324 12.16683", catalog="HSC", magtype=2)
InputWarning: Coordinate string is being interpreted as an ICRS coordinate provided in degrees.
MaxResultsWarning: Maximum catalog results returned, may not include all sources within radius.
>>> print(catalog_data[:10])
MatchID Distance MatchRA ... W3_F160W_MAD W3_F160W_N
--------- -------------------- ------------------ ... ------------ ----------
50180585 0.003984902849540913 322.4931746094701 ... nan 0
8150896 0.006357935819940561 322.49334740450234 ... nan 0
100906349 0.00808206428937523 322.4932839715549 ... nan 0
105434103 0.011947078376104195 322.49324000530777 ... nan 0
103116183 0.01274757103013683 322.4934207202404 ... nan 0
45593349 0.013026569623011767 322.4933878707698 ... nan 0
103700905 0.01306760650244682 322.4932769229944 ... nan 0
102470085 0.014611879195009472 322.49311034430366 ... nan 0
93722307 0.01476438046135455 322.49348351134466 ... nan 0
24781941 0.015234351867433582 322.49300148743345 ... nan 0
Radius is an optional parameter and the default is 0.2 degrees.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_object("M10", radius=.02, catalog="TIC")
>>> print(catalog_data[:10])
ID ra dec ... wdflag dstArcSec
---------- ---------------- ----------------- ... ------ ------------------
510188144 254.287449269816 -4.09954224264168 ... -1 0.7650443624931581
510188143 254.28717785824 -4.09908635292493 ... -1 1.3400566638148848
189844423 254.287799703996 -4.0994998249247 ... 0 1.3644407138867785
1305764031 254.287147439535 -4.09866105132406 ... -1 2.656905409847388
1305763882 254.286696117371 -4.09925522448626 ... -1 2.7561196688252894
510188145 254.287431890823 -4.10017293344746 ... -1 3.036238557555728
1305763844 254.286675148545 -4.09971617257086 ... 0 3.1424781549696217
1305764030 254.287249718516 -4.09841883152995 ... -1 3.365991083435227
1305764097 254.287599269103 -4.09837925361712 ... -1 3.4590276863989
1305764215 254.28820865799 -4.09859677020253 ... -1 3.7675526728257034
The Hubble Source Catalog, the Gaia Catalog, and the PanSTARRS Catalog have multiple versions. An optional version parameter allows you to select which version you want, the default is the highest version.
>>> catalog_data = Catalogs.query_region("158.47924 -7.30962", radius=0.1,
... catalog="Gaia", version=2)
>>> print("Number of results:",len(catalog_data))
Number of results: 111
>>> print(catalog_data[:4])
solution_id designation ... distance
------------------- ---------------------------- ... ------------------
1635721458409799680 Gaia DR2 3774902350511581696 ... 0.6326770410972467
1635721458409799680 Gaia DR2 3774901427093274112 ... 0.8440033390947586
1635721458409799680 Gaia DR2 3774902148648277248 ... 0.9199206487344911
1635721458409799680 Gaia DR2 3774902453590798208 ... 1.3578181104319944
The PanSTARRS Catalog has multiple data releases as well as multiple queryable tables. An optional data release parameter allows you to select which data release is desired, with the default being the latest version (dr2). The table to query is a required parameter.
>>> catalog_data = Catalogs.query_region("158.47924 -7.30962", radius=0.1,
... catalog="Panstarrs", data_release="dr1", table="mean")
>>> print("Number of results:",len(catalog_data))
Number of results: 7007
>>> print(catalog_data[:10])
ObjName objAltName1 ... yFlags distance
-------------------------- ----------- ... ------ --------------------
PSO J103359.653-071622.382 -999 ... 16416 0.04140441098310487
PSO J103359.605-071622.873 -999 ... 0 0.04121935961328582
PSO J103359.691-071640.232 -999 ... 0 0.03718729257758985
PSO J103400.268-071639.192 -999 ... 0 0.03870112803784765
PSO J103400.073-071637.358 -999 ... 0 0.03867536827891155
PSO J103359.789-071632.606 -999 ... 0 0.03921557769883566
PSO J103359.192-071654.790 -999 ... 0 0.03266232705300051
PSO J103359.959-071655.155 -999 ... 0 0.034361022297827955
PSO J103359.847-071655.610 -999 ... 0 0.033986082329893995
PSO J103400.586-071656.646 -999 ... 0 0.035645179491121386
Catalog Criteria Queries¶
The TESS Input Catalog (TIC), Disk Detective Catalog, and PanSTARRS Catalog can also be queried based on non-positional criteria.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_criteria(catalog="Tic",Bmag=[30,50],objType="STAR")
>>> print(catalog_data)
ID version HIP TYC ... e_Dec_orig raddflag wdflag objID
--------- -------- --- --- ... ------------------ -------- ------ ----------
125413929 20190415 -- -- ... 0.293682765259495 1 0 579825059
261459129 20190415 -- -- ... 0.200397148604244 1 0 1701625107
64575709 20190415 -- -- ... 0.21969663115091 1 0 595775997
94322581 20190415 -- -- ... 0.205286802302475 1 0 606092549
125414201 20190415 -- -- ... 0.22398993783274 1 0 579825329
463721073 20190415 -- -- ... 0.489828592248652 -1 1 710312391
81609218 20190415 -- -- ... 0.146788572369267 1 0 630541794
282024596 20190415 -- -- ... 0.548806522539047 1 0 573765450
23868624 20190415 -- -- ... 355.949 -- 0 916384285
282391528 20190415 -- -- ... 0.47766300834538 0 0 574723760
123585000 20190415 -- -- ... 0.618316068787371 0 0 574511442
260216294 20190415 -- -- ... 0.187170498094167 1 0 683390717
406300991 20190415 -- -- ... 0.0518318978617112 0 0 1411465651
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_criteria(catalog="Ctl",
... objectname='M101', radius=1, Tmag=[10.75,11])
>>> print(catalog_data)
ID version HIP TYC ... raddflag wdflag objID
--------- -------- --- ------------ ... -------- ------ ---------
233458861 20190415 -- 3852-01407-1 ... 1 0 150390757
441662028 20190415 -- 3855-00941-1 ... 1 0 150395533
441658008 20190415 -- 3852-00116-1 ... 1 0 150246361
441639577 20190415 -- 3852-00429-1 ... 1 0 150070672
441658179 20190415 -- 3855-00816-1 ... 1 0 150246482
154258521 20190415 -- 3852-01403-1 ... 1 0 150281963
441659970 20190415 -- 3852-00505-1 ... 1 0 150296707
441660006 20190415 -- 3852-00341-1 ... 1 0 150296738
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_criteria(catalog="DiskDetective",
... objectname="M10",radius=2,state="complete")
>>> print(catalog_data)
designation ... ZooniverseURL
------------------- ... ----------------------------------------------------
J165628.40-054630.8 ... https://talk.diskdetective.org/#/subjects/AWI0005cka
J165748.96-054915.4 ... https://talk.diskdetective.org/#/subjects/AWI0005ckd
J165427.11-022700.4 ... https://talk.diskdetective.org/#/subjects/AWI0005ck5
J165749.79-040315.1 ... https://talk.diskdetective.org/#/subjects/AWI0005cke
J165327.01-042546.2 ... https://talk.diskdetective.org/#/subjects/AWI0005ck3
J165949.90-054300.7 ... https://talk.diskdetective.org/#/subjects/AWI0005ckk
J170314.11-035210.4 ... https://talk.diskdetective.org/#/subjects/AWI0005ckv
The query_criteria function requires at least one non-positional parameter.
These parameters are the column names listed in the field descriptions
of the catalog being queried. They do not include objectname, coordinates, or radius. Running a query with only positional
parameters will result in an error.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_criteria(catalog="Tic",
... objectname='M101', radius=1)
Traceback (most recent call last):
...
astroquery.exceptions.InvalidQueryError: At least one non-positional criterion must be supplied.
The PanSTARRS catalog also accepts additional parameters to allow for query refinement. These options include column selection, sorting, column criteria, page size and page number. Additional information on PanSTARRS queries may be found here.
Columns returned from the query may be submitted with the columns parameter as a list of column names.
The query may be sorted with the sort_by parameter composed of either a single column name (to sort ascending), or a list of multiple column names and/or tuples of direction and column name (ASC/DESC, column name).
To filter the query, criteria per column name are accepted. The ‘AND’ operation is performed between all column name criteria, and the ‘OR’ operation is performed within column name criteria. Per each column name parameter, criteria may consist of either a value or a list. The list may consist of a mix of values and tuples of criteria decorator (min, gte, gt, max, lte, lt, like, contains) and value.
>>> catalog_data = Catalogs.query_criteria(coordinates="5.97754 32.53617", radius=0.01,
... catalog="PANSTARRS", table="mean", data_release="dr2",
... nStackDetections=[("gte", 2)],
... columns=["objName", "objID", "nStackDetections", "distance"],
... sort_by=[("desc", "distance")], pagesize=15)
>>> print(catalog_data[:10])
objName objID nStackDetections distance
--------------------- ------------------ ---------------- ---------------------
PSO J005.9812+32.5270 147030059812483022 5 0.009651200148871086
PSO J005.9726+32.5278 147030059727583992 2 0.0093857181370567
PSO J005.9787+32.5453 147050059787164914 4 0.009179045509852305
PSO J005.9722+32.5418 147050059721440704 4 0.007171813230776031
PSO J005.9857+32.5377 147040059855825725 4 0.007058815429178634
PSO J005.9810+32.5424 147050059809651427 2 0.006835678269917365
PSO J005.9697+32.5368 147040059697224794 2 0.006654002479439699
PSO J005.9712+32.5330 147040059711340087 4 0.006212461367287632
PSO J005.9747+32.5413 147050059747400181 5 0.0056515210592035965
PSO J005.9775+32.5314 147030059774678271 3 0.004739286624336443
Hubble Source Catalog (HSC) specific queries¶
Given an HSC Match ID, return all catalog results.
>>> from astroquery.mast import Catalogs
...
>>> catalog_data = Catalogs.query_object("M10", radius=.02, catalog="HSC")
>>> matchid = catalog_data[0]["MatchID"]
>>> print(matchid)
63980492
>>> matches = Catalogs.query_hsc_matchid(matchid)
>>> print(matches)
CatID MatchID ... cd_matrix
--------- -------- ... ------------------------------------------------------
257195287 63980492 ... -1.38889e-005 -5.26157e-010 -5.26157e-010 1.38889e-005
257440119 63980492 ... -1.38889e-005 -5.26157e-010 -5.26157e-010 1.38889e-005
428373428 63980492 ... -1.10056e-005 5.65193e-010 5.65193e-010 1.10056e-005
428373427 63980492 ... -1.10056e-005 5.65193e-010 5.65193e-010 1.10056e-005
428373429 63980492 ... -1.10056e-005 5.65193e-010 5.65193e-010 1.10056e-005
410574499 63980492 ... -1.10056e-005 1.56577e-009 1.56577e-009 1.10056e-005
410574498 63980492 ... -1.10056e-005 1.56577e-009 1.56577e-009 1.10056e-005
410574497 63980492 ... -1.10056e-005 1.56577e-009 1.56577e-009 1.10056e-005
HSC spectra accessed through this class as well. get_hsc_spectra
does not take any arguments, and simply loads all HSC spectra.
>>> from astroquery.mast import Catalogs
...
>>> all_spectra = Catalogs.get_hsc_spectra()
>>> print(all_spectra[:10])
ObjID DatasetName MatchID ... PropID HSCMatch
----- -------------------------------------------- -------- ... ------ --------
20010 HAG_J072655.67+691648.9_J8HPAXAEQ_V01.SPEC1D 19657846 ... 9482 Y
20011 HAG_J072655.69+691648.9_J8HPAOZMQ_V01.SPEC1D 19657846 ... 9482 Y
20012 HAG_J072655.76+691729.7_J8HPAOZMQ_V01.SPEC1D 19659745 ... 9482 Y
20013 HAG_J072655.82+691620.0_J8HPAOZMQ_V01.SPEC1D 19659417 ... 9482 Y
20014 HAG_J072656.34+691704.7_J8HPAXAEQ_V01.SPEC1D 19660230 ... 9482 Y
20015 HAG_J072656.36+691704.7_J8HPAOZMQ_V01.SPEC1D 19660230 ... 9482 Y
20016 HAG_J072656.36+691744.9_J8HPAOZMQ_V01.SPEC1D 19658847 ... 9482 Y
20017 HAG_J072656.37+691630.2_J8HPAXAEQ_V01.SPEC1D 19660827 ... 9482 Y
20018 HAG_J072656.39+691630.2_J8HPAOZMQ_V01.SPEC1D 19660827 ... 9482 Y
20019 HAG_J072656.41+691734.9_J8HPAOZMQ_V01.SPEC1D 19656620 ... 9482 Y
Individual or ranges of spectra can be downloaded using the
download_hsc_spectra function.
>>> from astroquery.mast import Catalogs
...
>>> all_spectra = Catalogs.get_hsc_spectra()
>>> manifest = Catalogs.download_hsc_spectra(all_spectra[100:104])
Downloading URL https://hla.stsci.edu/cgi-bin/ecfproxy?file_id=HAG_J072704.61+691530.3_J8HPAOZMQ_V01.SPEC1D.fits to ./mastDownload/HSC/HAG_J072704.61+691530.3_J8HPAOZMQ_V01.SPEC1D.fits ... [Done]
Downloading URL https://hla.stsci.edu/cgi-bin/ecfproxy?file_id=HAG_J072704.68+691535.9_J8HPAOZMQ_V01.SPEC1D.fits to ./mastDownload/HSC/HAG_J072704.68+691535.9_J8HPAOZMQ_V01.SPEC1D.fits ... [Done]
Downloading URL https://hla.stsci.edu/cgi-bin/ecfproxy?file_id=HAG_J072704.70+691530.2_J8HPAOZMQ_V01.SPEC1D.fits to ./mastDownload/HSC/HAG_J072704.70+691530.2_J8HPAOZMQ_V01.SPEC1D.fits ... [Done]
Downloading URL https://hla.stsci.edu/cgi-bin/ecfproxy?file_id=HAG_J072704.73+691808.0_J8HPAOZMQ_V01.SPEC1D.fits to ./mastDownload/HSC/HAG_J072704.73+691808.0_J8HPAOZMQ_V01.SPEC1D.fits ... [Done]
...
>>> print(manifest)
Local Path ... URL
-------------------------------------------------------------------- ... ----
./mastDownload/HSC/HAG_J072704.61+691530.3_J8HPAOZMQ_V01.SPEC1D.fits ... None
./mastDownload/HSC/HAG_J072704.68+691535.9_J8HPAOZMQ_V01.SPEC1D.fits ... None
./mastDownload/HSC/HAG_J072704.70+691530.2_J8HPAOZMQ_V01.SPEC1D.fits ... None
./mastDownload/HSC/HAG_J072704.73+691808.0_J8HPAOZMQ_V01.SPEC1D.fits ... None