Mission Overview

Cutouts from Wide-area TESS Coadded Images ("TESS-COADD-CUTOUTS")

 

Primary Investigator: G. Bruce Berriman

HLSP Authors: G. Bruce Berriman, John C. Good, Benne Holwerda

Released: 2021-07-02

Updated: 2021-07-02

Primary Reference(s): Berriman et al. 2021

DOI: 10.17909/t9-ebg0-3a45

Citations: See ADS Statistics

Read Me

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Mosaic in Galactic coordinates presented in Aitoff projection of co-added TESS FFIs from sectors 1 through 21 that had been publicly released in April 2020. The figure includes cutouts of four galaxies: N891 (bottom left; 1 degree  square), M31 (bottom far right; 2.3 degrees square), N5907 (upper left center; 1 degree  square), M101 (upper right center;n1 degree square). The sets of three vertical stripes in the cutouts are associated with the strapping in the CCDs.  Click here for the full-resolution version of this image.

Overview

TESS has a simple unobstructed light path, with four cameras each housing seven lenses; fast optics, with a focal ratio of f/1.4; and wide-field detectors, with four cameras each  having a 24 x 96 degree field of view. This design is in principle ideal for studies of the low-surface brightness (LSB) environments of Galaxies. A major complication in such studies is, however, the impact of stray light in the images. This project aimed to investigate this issue.

The figure on the upper-right of this HLSP's homepage shows a mosaic of co-added Full Frame Images (FFIs) acquired by all four cameras in Sectors 1 to 21, which are those data that had been released as of April 2020. The processing was performed on the Amazon Elastic Cloud 2 with the Montage image mosaic engine (http://montage.ipac.caltech.edu). The most striking feature of the image is the highly variable stray light (even after Montage attempted to correct background radiation to a common level), caused by light from the Earth appearing  over the satellite sunshade.  Yet on spatial scales of  1 to 2 degrees, the cutouts of the four galaxies in the figure indicate the background is smooth and indicate that even with the extensive stray light, the TESS co-added images can be exploited for LSB studies. The team provides coadded images in FITS format to make cutouts out of, and provide a Jupyter notebook for deriving cutouts of these co-added images for any position or resolvable object name.  The Jupyter notebook is provided "as-is": MAST does not take ownership of maintaining the notebook itself.

Data Products

The coadd image files have the following naming convention:

hlsp_tess-coadd-cutouts_tess_ffi_sector<nn>-camera<i>-ccd<j>_tess_v1_coadd.fits

where:

  • <nn> = The two-digit, zero-padded Sector number (e.g., "02" for Sector 2).
  • <i> = The single-digit Camera number, choice of [1, 2, 3, 4].
  • <j> = The single-digit CCD number, choice of [1, 2, 3, 4]

Data file types:

_coadd.fits The coadded TESS image for a given Sector, Camera, and CCD.

Data Access

The FITS files for a given Sector + Camera + Chip can be downloaed in the table below.  Users can also create cutouts from copies at IPAC.  The TESS-COADD-CUTOUTS team has provided a Python notebook that demonstrates how to obtain cutouts this way.

NOTE: MAST provides this Python notebook as provided by the HLSP team, and is not responsible for ensuring the contents of the notebook run, and is not responsible for maintaining this notebook.

Sector Camera 1 Camera 2 Camera 3 Camera 4
1 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
2 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
3 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
4 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
5 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
6 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
7 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
8 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
9 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
10 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
11 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
12 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
13 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
14 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
15 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
16 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
17 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
18 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
19 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
20 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 
21 CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 |  CCD1 | CCD2 | CCD3 | CCD4 | 

Citations

Please remember to cite the appropriate paper(s) below and the DOI if you use these data in a published work. 

Note: These HLSP data products are licensed for use under CC BY 4.0.

References