Setting Survey Parameters#

The Survey File#

ATK stores all survey parameters in a file, which can be opened either from the commandline:

$ ATKsurvey open

or from inside a script:

from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG.open()

To see the current state of the survey file, use:

$ ATKsurvey show
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG.show()
[vizier]
  <gaia>
    id = I/355/gaiadr3
    epoch = 2016-01-01T00:00:00.000
    mags: Gmag, BPmag, RPmag
    errors: e_Gmag, e_BPmag, e_RPmag
    lon = RA_ICRS
    lat = DE_ICRS
    frame = icrs

  <galex>
    id = II/335/galex_ais
    epoch = 2006-08-01T00:00:00.000
    mags: NUVmag, FUVmag
    errors: e_NUVmag, e_FUVmag
    lon = RAJ2000
    lat = DEJ2000
    frame = icrs

  <wise>
    id = II/311/wise
    epoch = 2010-06-01T00:00:00.000
    mags: W1mag, W2mag, W3mag, W4mag
    errors: e_W1mag, e_W2mag, e_W3mag, e_W4mag
    lon = RAJ2000
    lat = DEJ2000
    frame = icrs

  <sdss>
    id = V/154/sdss16
    epoch = 2006-01-01T00:00:00.000
    mags: uPmag, gPmag, rPmag, iPmag, zPmag
    errors: e_uPmag, e_gPmag, e_rPmag, e_iPmag, e_zPmag
    lon = RA_ICRS
    lat = DE_ICRS
    frame = icrs

  <2mass>
    id = II/246/out
    epoch = 1999-01-01T00:00:00.000
    mags: Jmag, Hmag, Kmag
    errors: e_Jmag, e_Hmag, e_Kmag
    lon = RAJ2000
    lat = DEJ2000
    frame = icrs

  <skymapper>
    id = II/379/smssdr4
    epoch = 2016-01-01T00:00:00.000
    mags: gPSF, rPSF, iPSF, zPSF, uPSF, vPSF
    errors: e_gPSF, e_rPSF, e_iPSF, e_zPSF, e_uPSF, e_vPSF
    lon = RAICRS
    lat = DEICRS
    frame = icrs

  <panstarrs>
    id = II/349/ps1
    epoch = 2012-01-01T00:00:00.000
    mags: gmag, rmag, imag, zmag, ymag
    errors: e_gmag, e_rmag, e_imag, e_zmag, e_ymag
    lon = RAJ2000
    lat = DEJ2000
    frame = icrs

  <rosat>
    id = IX/11/rosatsrc
    epoch = 1991-01-01T00:00:00.000
    lon = RAJ2000
    lat = DEJ2000
    frame = icrs

  <erosita>
    id = J/A+A/682/A34/erass1-m
    epoch = 2022-01-01T00:00:00.000
    lon = RA_ICRS
    lat = DE_ICRS
    frame = icrs


[image]
  <panstarrs>
    epoch = 2012-01-01T00:00:00.000

  <skymapper>
    epoch = 2016-01-01T00:00:00.000

  <dss1>
    epoch = 1955-01-01T00:00:00.000

  <dss2>
    epoch = 1990-01-01T00:00:00.000

  <wise>
    epoch = 2010-01-01T00:00:00.000

  <2mass>
    epoch = 1999-01-01T00:00:00.000

  <sdss>
    epoch = 2005-01-01T00:00:00.000


[lightcurve]
  <ztf>
    epoch = 2019-01-01T00:00:00.000

  <gaia>
    epoch = 2016-01-01T00:00:00.000

  <asassn>
    epoch = 2015-01-01T00:00:00.000

  <crts>
    epoch = 2008-01-01T00:00:00.000

  <tess>
    epoch = 2020-01-01T00:00:00.000


[spectrum]
  <sdss>
    epoch = 2017-01-01T00:00:0.000

  <desi>
    epoch = 2020-01-01T00:00:00.000


Adding a Catalogue Alias#

Any Vizier catalogue can be immediately accessed by passing its catalogue ID to query():

from ATK import query

allwise_query = query("vizier", targets=2552928187080872832, survey="II/328/allwise")

However, it may become tedious to remember catalogue IDs in prolonged workloads. Additionally, and perhaps more importantly, the above does not benefit from proper motion correction as ATK doesn’t know the catalogue’s epoch. Both of these problems can be solved by adding a catalogue alias to the survey file.

In this tutorial, query() will be extended with AllWISE.


Editing the Survey File#

To add an AllWISE alias, the following must be added to the survey file, under vizier:

allwise
    id = II/328/allwise

This can be done manually by opening survey file in the default text editor, or by setting it directly:

$ ATKsurvey set vizier allwise --id II/328/allwise
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG["vizier"]["allwise"]["id"] = "II/328/allwise"

Testing the New Alias#

from ATK import query

target = 2552928187080872832
allwise_query = query("vizier", targets=target, survey="allwise", path="allwise_data_1.fits.gz")
allwise_query.show()
<Empty DataSet>

.kind:      vizier
.targets:   2552928187080872832 | 12.297° 5.377° (icrs, 2016-01-01T00:00:00.000, 3.0″)
.exception: False
.data:      <empty list>


Available Methods: .add(), .apply(), .from_target(), .merge(), .open(), .plot(), .save(), .show(), .split(), .store()

The new alias is working, but the query has not returned any data. This is because no epoch information has been added. This can be amended by setting the epoch key with the median epoch of AllWISE (approximately 2010-05-01T00:00:00.000):

$ ATKsurvey set vizier allwise --epoch 2010-05-01T00:00:00.000
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG["vizier"]["allwise"]["epoch"] = "2010-05-01T00:00:00.000"

Upon running the same query again, data is now returned:

from ATK import query

target = 2552928187080872832
allwise_query = query("vizier", targets=target, survey="allwise", path="allwise_data_2.fits.gz")
allwise_query.show()
<Record DataSet>

.kind:      Record
.targets:   2552928187080872832 | 12.297° 5.377° (icrs, 2016-01-01T00:00:00.000, 3.0″)
.exception: False
.data:
      <allwise (II/328/allwise) Record>
            survey:     allwise
            catalogue:  II/328/allwise
            correction: full
            search_pos: 12.295° 5.381° (icrs, 2010-05-01T00:00:00.000)
            table:
                  (astropy.Table)
                        AllWISE:   [J004910.78+052249.8]
                        RAJ2000:   [12.295] °
                        DEJ2000:   [5.381] °
                        eeMaj:     [0.038] ″
                        eeMin:     [0.036] ″
                        eePA:      [61.5] °
                        Im:        [Im]
                        W1mag:     [11.40999984741211] mag
                        e_W1mag:   [0.023000000044703484] mag
                        W2mag:     [11.357000350952148] mag
                        e_W2mag:   [0.019999999552965164] mag
                        W3mag:     [11.380000114440918] mag
                        e_W3mag:   [0.19699999690055847] mag
                        W4mag:     [8.880000114440918] mag
                        e_W4mag:   [nan] mag
                        Jmag:      [nan] mag
                        e_Jmag:    [nan] mag
                        Hmag:      [nan] mag
                        e_Hmag:    [nan] mag
                        Kmag:      [nan] mag
                        e_Kmag:    [nan] mag
                        wx:        [1675.304] pix
                        wy:        [274.91] pix
                        ID:        [121106001351004903]
                        snr1:      [47.6]
                        chi2W1:    [10.199999809265137]
                        snr2:      [53.5]
                        chi2W2:    [5.179999828338623]
                        snr3:      [5.5]
                        chi2W3:    [1.0]
                        snr4:      [-0.8]
                        chi2W4:    [0.8550000190734863]
                        chi2:      [5.239999771118164]
                        nb:        [1]
                        na:        [0]
                        sat1:      [0.0]
                        sat2:      [0.0]
                        sat3:      [0.0]
                        sat4:      [0.0]
                        ccf:       [0000]
                        ex:        [1]
                        var:       [20nn]
                        nW1:       [23]
                        mW1:       [23]
                        nW2:       [20]
                        mW2:       [20]
                        nW3:       [2]
                        mW3:       [13]
                        nW4:       [0]
                        mW4:       [13]
                        satnum:    [0]
                        RA_pm:     [12.295] °
                        e_RA_pm:   [0.038] ″
                        DE_pm:     [5.381] °
                        e_DE_pm:   [0.038] ″
                        cosig_pm:  [0.008] ″
                        pmRA:      [367.0] mas yr⁻¹
                        e_pmRA:    [49.0] mas yr⁻¹
                        pmDE:      [-3180.0] mas yr⁻¹
                        e_pmDE:    [49.0] mas yr⁻¹
                        chi2W1_pm: [3.890000104904175]
                        chi2W2_pm: [1.5399999618530273]
                        chi2W3_pm: [1.0099999904632568]
                        chi2W4_pm: [0.8539999723434448]
                        chi2pm:    [2.0899999141693115]
                        qpm:       [2N004]
                        qph:       [AABU]
                        fdet:      [7]
                        fmoon:     [2333]
                        covW1:     [23.852]
                        covW2:     [20.877]
                        covW3:     [13.922]
                        covW4:     [13.867]
                        2Mkey:     [nan]
                        d2M:       [nan] ″
                        2M:        [2M]



Available Methods: .add(), .apply(), .from_target(), .merge(), .open(), .plot(), .save(), .show(), .split(), .store()


Defining an Image Overlay#

The AllWISE Vizier catalogue alias added above can be extended into an image overlay definition by adding some extra information. As a minimum, all overlay definitions require three columns for positional information: a longitude column, a latitude column, and a frame on which these are based.

In the case of AllWISE, this means adding the following:

$ ATKsurvey set vizier allwise --lon RAJ2000 --lat DEJ2000 --frame icrs
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG["vizier"]["allwise"]["lon"] = "RAJ2000"
SURVEY_CONFIG["vizier"]["allwise"]["lat"] = "DEJ2000"
SURVEY_CONFIG["vizier"]["allwise"]["frame"] = "icrs"

Once these keys have been added, an AllWISE overlay can be requested in an image query():

from ATK import query
import astropy.units as u

target = 2552928187080872832
panstarrs_query = query("image", targets=target, survey="panstarrs", band="g", size=90*u.arcsec, overlays=["allwise"], path="image_data_1.fits.gz")
panstarrs_query.open()
Bokeh Figure



Adding Photometric Information#

Providing positional information is already enough to generate corrected detections - but for photometric surveys like AllWISE, magnitude information can also be added by supplying a list of magnitude and magnitude error columns:

$ ATKsurvey set vizier allwise --mags W1mag W2mag W3mag W4mag --errors e_W1mag e_W2mag e_W3mag e_W4mag
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG["vizier"]["allwise"]["mags"] = ["W1mag", "W2mag", "W3mag", "W4mag"]
SURVEY_CONFIG["vizier"]["allwise"]["errors"] = ["e_W1mag", "e_W2mag", "e_W3mag", "e_W4mag"]

This turns the AllWISE detection overlay into a photometric detection overlay, which scales marker sizes with magnitude and adds photometric information to the hover interaction:

target = 2552928187080872832
panstarrs_query = query("image", targets=target, survey="panstarrs", band="g", size=90*u.arcsec, overlays=["allwise"], path="image_data_2.fits.gz")
panstarrs_query.open()
Bokeh Figure




Additional Survey File Operations#

Resetting the Survey File#

To reset the survey file to its default state:

$ ATKsurvey reset
from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG.reset()

Deleting an Alias#

To delete an alias (in this case the AllWISE alias created in this tutorial) from the survey file, either delete it from the commandline:

$ ATKsurvey del allwise

or set it to None:

from ATK.Config import SURVEY_CONFIG

SURVEY_CONFIG["vizier"]["allwise"] = None



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