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- Image Cutouts

# Image Cutouts

## TESSCut

TESSCut is MAST’s tool to provide full-frame image (FFI) cutouts from the Transiting Exoplanet Survey Satellite (TESS). Cutouts can be made from the Science Processing Operation’s Center (SPOC) FFI products. The cutouts are returned in the form of target pixel files that follow the same format as TESS pipeline target pixel files. This tool can be accessed in Astroquery by using the Tesscut class.

As of August 2025, the option to create cutouts using TESS Image CAlibration (TICA) full frame images was discontinued. Individual TICA full frame images remain available from the MAST TICA homepage. Cutouts using SPOC data remain available through TESSCut.

Note: TESScut limits each user to no more than 10 simultaneous calls to the service. After the user has reached this limit TESScut will return a `503 Service Temporarily Unavailable Error`.

If you use TESSCut for your work, please cite Brasseur et al. 2019 https://ui.adsabs.harvard.edu/abs/2019ascl.soft05007B/abstract

### Cutouts

The `get_cutouts` function takes a coordinate, object name (e.g. “M104” or “TIC 32449963”), or moving target (e.g. “Eleonora”) and cutout size (in pixels or an angular quantity, default is 5 pixels) and returns the cutout target pixel file(s) as a list of `HDUList` objects.

If the given coordinate/object location appears in more than one TESS sector a target pixel file will be produced for each sector. If the cutout area overlaps more than one camera or ccd a target pixel file will be produced for each one.

Requesting a cutout by coordinate or objectname accesses the MAST TESScut API and returns a target pixel file, with format described here.

    >>> from astroquery.mast import Tesscut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> cutout_coord = SkyCoord(107.18696, -70.50919, unit="deg")
    >>> hdulist = Tesscut.get_cutouts(coordinates=cutout_coord, sector=33)
    >>> hdulist[0].info()
    Filename: <class '_io.BytesIO'>
    No.    Name      Ver    Type      Cards   Dimensions   Format
    0  PRIMARY       1 PrimaryHDU      57   ()
    1  PIXELS        1 BinTableHDU    281   3495R x 12C   [D, E, J, 25J, 25E, 25E, 25E, 25E, J, E, E, 38A]
    2  APERTURE      1 ImageHDU        82   (5, 5)   int32

The following example will request SPOC cutouts using the objectname argument, rather than a set of coordinates.

    >>> from astroquery.mast import Tesscut
    ...
    >>> hdulist = Tesscut.get_cutouts(objectname="TIC 32449963", sector=37)
    >>> hdulist[0].info()
    Filename: <class '_io.BytesIO'>
    No.    Name      Ver    Type      Cards   Dimensions   Format
      0  PRIMARY       1 PrimaryHDU      56   ()
      1  PIXELS        1 BinTableHDU    280   3477R x 12C   [D, E, J, 25J, 25E, 25E, 25E, 25E, J, E, E, 38A]
      2  APERTURE      1 ImageHDU        81   (5, 5)   int32

Requesting a cutout by moving_target accesses the MAST Moving Target TESScut API and returns a target pixel file, with format described here. The moving_target is an optional bool argument where `True` signifies that the accompanying `objectname` input is the object name or ID understood by the JPL Horizon ephemerades interface. The default value for moving_target is set to False. Therefore, a non-moving target can be input simply with either the objectname or coordinates.

    >>> from astroquery.mast import Tesscut
    ...
    >>> hdulist = Tesscut.get_cutouts(objectname="Eleonora",
    ...                               moving_target=True,
    ...                               sector=6)
    >>> hdulist[0].info()
    Filename: <class '_io.BytesIO'>
    No.    Name      Ver    Type      Cards   Dimensions   Format
      0  PRIMARY       1 PrimaryHDU      54   ()
      1  PIXELS        1 BinTableHDU    150   355R x 16C   [D, E, J, 25J, 25E, 25E, 25E, 25E, J, E, E, 38A, D, D, D, D]
      2  APERTURE      1 ImageHDU        97   (2136, 2078)   int32

The `download_cutouts` function takes a coordinate, cutout size (in pixels or an angular quantity), or object name (e.g. “M104” or “TIC 32449963”) and moving target (True or False). It uses these parameters to download the cutout target pixel file(s).

If a given coordinate/object/moving target appears in more than one TESS sector, a target pixel file will be produced for each sector. If the cutout area overlaps more than one camera or ccd, a target pixel file will be produced for each one.

    >>> from astroquery.mast import Tesscut
    >>> from astropy.coordinates import SkyCoord
    >>> import astropy.units as u
    ...
    >>> cutout_coord = SkyCoord(107.18696, -70.50919, unit="deg")
    >>> manifest = Tesscut.download_cutouts(coordinates=cutout_coord,
    ...                                     size=[5, 5]*u.arcmin,
    ...                                     sector=9)
    Downloading URL https://mast.stsci.edu/tesscut/api/v0.1/astrocut?ra=107.18696&dec=-70.50919&y=0.08333333333333333&x=0.11666666666666667&units=d&sector=9 to ./tesscut_20210716150026.zip ... [Done]
    >>> print(manifest)
                         Local Path
    ----------------------------------------------------------
    ./tess-s0009-4-1_107.186960_-70.509190_15x15_astrocut.fits

### Sector information

To access sector information for a particular coordinate, object, or moving target there is `get_sectors`.

    >>> from astroquery.mast import Tesscut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> coord = SkyCoord(135.1408, -5.1915, unit="deg")
    >>> sector_table = Tesscut.get_sectors(coordinates=coord)
    >>> print(sector_table)
      sectorName   sector camera ccd
    -------------- ------ ------ ---
    tess-s0008-1-1      8      1   1
    tess-s0034-1-2     34      1   2
    tess-s0061-1-2     61      1   2
    tess-s0088-1-2     88      1   2

The following example will request SPOC cutouts using the objectname argument, rather than a set of coordinates.

    >>> from astroquery.mast import Tesscut
    ...
    >>> sector_table = Tesscut.get_sectors(objectname="TIC 32449963")
    >>> print(sector_table)
      sectorName   sector camera ccd
    -------------- ------ ------ ---
    tess-s0010-1-4     10      1   4

The following example requests SPOC cutouts for a moving target.

    >>> from astroquery.mast import Tesscut
    ...
    >>> sector_table = Tesscut.get_sectors(objectname="Ceres", moving_target=True)
    >>> print(sector_table)
      sectorName   sector camera ccd
    -------------- ------ ------ ---
    tess-s0029-1-4     29      1   4
    tess-s0043-3-3     43      3   3
    tess-s0044-2-4     44      2   4
    tess-s0092-4-3     92      4   3

## Zcut

Zcut for MAST allows users to request cutouts from various Hubble deep field surveys. The cutouts can be returned as either fits or image files (jpg and png are supported). This tool can be accessed in Astroquery by using the Zcut class. The list of supported deep field surveys can be found here: https://mast.stsci.edu/zcut/

### Cutouts

The `get_cutouts` function takes a coordinate and cutout size (in pixels or an angular quantity) and returns the cutout FITS file(s) as a list of ~astropy.io.fits.HDUList objects.

If the given coordinate appears in more than one Zcut survey, a FITS file will be produced for each survey.

    >>> from astroquery.mast import Zcut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> cutout_coord = SkyCoord(189.49206, 62.20615, unit="deg")
    >>> hdulist = Zcut.get_cutouts(coordinates=cutout_coord, survey='3dhst_goods-n')
    >>> hdulist[0].info()
    Filename: <class '_io.BytesIO'>
    No.    Name      Ver    Type      Cards   Dimensions   Format
    0  PRIMARY       1 PrimaryHDU      11   ()
    1  CUTOUT        1 ImageHDU       177   (5, 5)   float32
    2  CUTOUT        1 ImageHDU       177   (5, 5)   float32
    3  CUTOUT        1 ImageHDU       177   (5, 5)   float32

The `download_cutouts` function takes a coordinate and cutout size (in pixels or an angular quantity) and downloads the cutout fits file(s) as either fits files or image (png/jpg) files.

If a given coordinate appears in more than one Zcut survey, a cutout will be produced for each survey.

    >>> from astroquery.mast import Zcut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> cutout_coord = SkyCoord(189.49206, 62.20615, unit="deg")
    >>> manifest = Zcut.download_cutouts(coordinates=cutout_coord,
    ...                                  size=[5, 10],
    ...                                  units="px",
    ...                                  survey="3dhst_goods-n")
    Downloading URL https://mast.stsci.edu/zcut/api/v0.1/astrocut?ra=189.49206&dec=62.20615&y=200&x=300&units=px&format=fits to ./zcut_20210125155545.zip ... [Done]
    Inflating...
    ...
    >>> print(manifest)
                                  Local Path
    -------------------------------------------------------------------------
    ./candels_gn_30mas_189.492060_62.206150_300.0pix-x-200.0pix_astrocut.fits
    >>> manifest = Zcut.download_cutouts(coordinates=cutout_coord,
    ...                                  size=[5, 10],
    ...                                  units="px",
    ...                                  survey="3dhst_goods-n",
    ...                                  cutout_format="jpg")
    Downloading URL https://mast.stsci.edu/zcut/api/v0.1/astrocut?ra=189.49206&dec=62.20615&y=200&x=300&units=px&format=jpg to ./zcut_20201202132453.zip ... [Done]
    ...
    >>> print(manifest)
                                                   Local Path
    -------------------------------------------------------------------------------------------------------
       ./hlsp_3dhst_spitzer_irac_goods-n_irac1_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
    ./hlsp_3dhst_spitzer_irac_goods-n-s2_irac3_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
    ./hlsp_3dhst_spitzer_irac_goods-n-s1_irac4_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
       ./hlsp_3dhst_spitzer_irac_goods-n_irac2_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
          ./hlsp_3dhst_mayall_mosaic_goods-n_u_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
     ./hlsp_3dhst_subaru_suprimecam_goods-n_rc_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
      ./hlsp_3dhst_subaru_suprimecam_goods-n_v_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
     ./hlsp_3dhst_subaru_suprimecam_goods-n_ic_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
     ./hlsp_3dhst_subaru_suprimecam_goods-n_zp_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg
      ./hlsp_3dhst_subaru_suprimecam_goods-n_b_v4.0_sc_189.492060_62.206150_10.0pix-x-5.0pix_astrocut_0.jpg

### Survey information

To list the available deep field surveys at a particular location there is `get_surveys`.

    >>> from astroquery.mast import Zcut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> coord = SkyCoord(189.49206, 62.20615, unit="deg")
    >>> survey_list = Zcut.get_surveys(coordinates=coord)
    >>> print(survey_list)
    ['candels_gn_60mas', 'candels_gn_30mas', 'goods_north']

## HAPCut

HAPCut for MAST allows users to request cutouts from various Hubble Advance Products (HAPs). The cutouts can be returned as fits files (image files are not currently supported). This tool can be accessed in Astroquery by using the Hapcut class. Documentation for the supported HAPCut API can be found here: https://mast.stsci.edu/hapcut/

### Cutouts

The `get_cutouts` function takes a coordinate and cutout size (in pixels or an angular quantity) and returns the cutout FITS file(s) as a list of `HDUList` objects.

If the given coordinate appears in more than one product, a FITS file will be produced for each.

    >>> from astroquery.mast import Hapcut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> cutout_coord = SkyCoord(351.347812, 28.497808, unit="deg")
    >>> hdulist = Hapcut.get_cutouts(coordinates=cutout_coord, size=5)
    >>> hdulist[0].info()
    Filename: <class '_io.BytesIO'>
    No.    Name      Ver    Type      Cards   Dimensions   Format
    0  PRIMARY       1 PrimaryHDU     754   ()
    1  SCI           1 ImageHDU       102   (5, 5)   float32
    2  WHT           1 ImageHDU        56   (5, 5)   float32

The `download_cutouts` function takes a coordinate and cutout size (in pixels or an angular quantity) and downloads the cutout fits file(s) as fits files.

If the given coordinate appears in more than one product, a cutout will be produced for each.

    >>> from astroquery.mast import Hapcut
    >>> from astropy.coordinates import SkyCoord
    ...
    >>> cutout_coord = SkyCoord(351.347812, 28.497808, unit="deg")
    >>> manifest = Hapcut.download_cutouts(coordinates=cutout_coord, size=[50, 100])
    Downloading URL https://mast.stsci.edu/hapcut/api/v0.1/astrocut?ra=351.347812&dec=28.497808&x=100&y=50&units=px to ./hapcut_20221130112710.zip ... [Done]
    Inflating...
    ...
    >>> print(manifest)
                                  Local Path
    ---------------------------------------------------------------------------------
    ./hst_cutout_skycell-p2007x09y05-ra351d3478-decn28d4978_wfc3_ir_f160w_coarse.fits
    ./hst_cutout_skycell-p2007x09y05-ra351d3478-decn28d4978_wfc3_ir_f160w.fits
    ./hst_cutout_skycell-p2007x09y05-ra351d3478-decn28d4978_wfc3_uvis_f606w.fits
    ./hst_cutout_skycell-p2007x09y05-ra351d3478-decn28d4978_wfc3_uvis_f814w.fits