Rubin-Euclid Derived Data Products: Initial Recommendations
Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet, Manda, Banerji, Franz E. Bauer, Thomas Collett, Christopher J. Conselice, Siegfried, Eggl, Annette Ferguson, Adriano Fontana, Catherine Heymans, Isobel M. Hook,, \'Eric Aubourg, Herv\'e Aussel, James Bosch, Benoit Carry

TL;DR
This paper presents initial recommendations for Derived Data products from Rubin and Euclid collaborations, aiming to enhance scientific research across various astrophysical domains through joint data processing.
Contribution
It introduces a set of initial Derived Data products designed to support joint scientific analysis between Rubin and Euclid, based on community input.
Findings
Strong community interest in joint data products.
Broad scientific domains benefit from proposed DDPs.
Initial recommendations aim to facilitate collaborative research.
Abstract
This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an initial set of Derived Data products (DDPs) that could realize the science goals enabled by joint processing. All interested Rubin and Euclid data rights holders were invited to contribute via an online discussion forum and a series of virtual meetings. Strong interest in enhancing science with joint DDPs emerged from across a wide range of astrophysical domains: Solar System, the Galaxy, the Local Volume, from the nearby to the primaeval Universe, and cosmology.
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Taxonomy
TopicsScientific Computing and Data Management · Advanced Data Storage Technologies
