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Euclid, Vera Rubin Observatory, WFIRST Joint Survey Processing: The Whole is Greater Than the Sum of Its Parts

Chary, Ranga-Ram (2020) Euclid, Vera Rubin Observatory, WFIRST Joint Survey Processing: The Whole is Greater Than the Sum of Its Parts. In: Astronomical Data Analysis Software and Systems XXIX. Astronomical Society of the Pacific Conference Series. No.527. Astronomical Society of the Pacific , San Francisco, CA, pp. 47-56. ISBN 9781583819418.

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The Euclid, Vera Rubin Observatory and WFIRST projects will undertake flagship optical / near-infrared surveys in the 2020s. They will map thousands of square degrees of sky and cover the electromagnetic spectrum between 0.3 and 2.0 microns with sub-arcsecond resolution. Joint survey processing (JSP) is the pixel level combination of the Vera Rubin Observatory, Euclid, and WFIRST datasets. By combining the high spatial resolution of the space-based datasets with deep, seeing-limited, ground-based images in the optical bands, and accounting for color- and position-dependent point spread functions, systematics like source confusion, shape determination and astrometric mismatch can be addressed. This would yield the highest precision optical/infrared photometric and shear catalogs which enables a range of time-domain, cosmological, and astrophysical science by the community. The science investigations that benefit from JSP range from, solving for asteroid trajectories and composition, to the most precise constraints on the nature of dark energy and the expansion rate of the Universe. We discuss the science drivers for optimal handling of the ≈100 Petabytes of reduced data from Euclid, the Vera Rubin Observatory, and WFIRST, and the computational and networking infrastructure needed to enable distributed co-processing of these datasets. JSP can result in a factor of ≈3 reduction in photometric uncertainty at ≈26 AB mag, after all astrometric errors and deblending are corrected for, and reduce photometric biases by ≈20–100% depending on the flux density level.

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Chary, Ranga-Ram0000-0001-7583-0621
Additional Information:© 2020 Astronomical Society of the Pacific. The Joint Survey Processing working group consists of membership across a numbers of institutions. The work reported here is the result of the combined efforts of the following group members: George Helou, Gabriel Brammer, Peter Capak, Andreas Faisst, Sergio Fajardo-Acosta, Dave Flynn, Steven Groom, Henry C. Ferguson, Carl Grillmair, Shoubaneh Hemmati, Anton Koekemoer, BoMee Lee, Sangeeta Malhotra, Hironao Miyatake, PeterMelchior, Ivelina Momcheva, Jeffrey Newman, Joseph Masiero, Roberta Paladini, Abhishek Prakash, Benjamin Rusholme, Nathaniel Stickley, Arfon Smith, Michael Wood-Vasey, Harry I. Teplitz. DoE/NERSC supercomputing resources were used for work presented in this paper.
Group:Infrared Processing and Analysis Center (IPAC)
Series Name:Astronomical Society of the Pacific Conference Series
Issue or Number:527
Record Number:CaltechAUTHORS:20220415-205521607
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:114348
Deposited By: Tony Diaz
Deposited On:18 Apr 2022 17:12
Last Modified:18 Apr 2022 17:12

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