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TESS as a Low-surface-brightness Observatory: Cutouts from Wide-area Coadded Images

Berriman, G. Bruce and Good, John C. and Holwerda, Benne W. (2021) TESS as a Low-surface-brightness Observatory: Cutouts from Wide-area Coadded Images. Research Notes of the AAS, 5 (7). Art. No. 157. ISSN 2515-5172. doi:10.3847/2515-5172/ac0fe2. https://resolver.caltech.edu/CaltechAUTHORS:20210713-162418804

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Abstract

We present a mosaic of those co-added Full Frame Images acquired by the TESS satellite that had been released in 2020 April. The mosaic shows substantial stray light over the sky. Yet over spatial scales of a few degrees, the background appears uniform. This result indicates that TESS has considerable potential as a Low Surface Brightness Observatory. The co-added images are freely available as a High Level Science Product (HLSP) at MAST and accessible through a Jupyter Notebook.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.3847/2515-5172/ac0fe2DOIArticle
ORCID:
AuthorORCID
Berriman, G. Bruce0000-0001-8388-534X
Holwerda, Benne W.0000-0002-4884-6756
Additional Information:© 2021. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received June 2021; Accepted June 2021; Published July 2021. This paper includes data collected with the TESS mission, obtained from the MAST data archive at the Space Telescope Science Institute (STScI). Funding for the TESS mission is provided by the NASA Explorer Program. STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 526555. The images were processed with Montage. It is funded by the National Science Foundation under grant Nos. ACI-1440620, 1642453 and 1835379. The images were processed on the Amazon Elastic Cloud 2 (EC2) of Amazon Web Services (AWS). We thank the AWS Public Sector Cloud Credit for Research Program for a generous allocation of research credits. We thank Roland Vanderspek for valuable discussions. Facilities: TESS - , MAST. - Software: Montage (Berriman & Good 2017); code repository at https://github.com/Caltech-IPAC/Montage.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASANAS-526555
NSFACI-1440620
NSFACI-1642453
NSFACI-1835379
Issue or Number:7
DOI:10.3847/2515-5172/ac0fe2
Record Number:CaltechAUTHORS:20210713-162418804
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210713-162418804
Official Citation:G. Bruce Berriman et al 2021 Res. Notes AAS 5 157
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109784
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Jul 2021 16:58
Last Modified:13 Jul 2021 16:58

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