Rubin-Euclid Derived Data Products: Initial Recommendations
Instrumentation and Methods for Astrophysics
2022-10-17 v2
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.
Cite
@article{arxiv.2201.03862,
title = {Rubin-Euclid Derived Data Products: Initial Recommendations},
author = {Leanne P. Guy and Jean-Charles Cuillandre and Etienne Bachelet and Manda Banerji and Franz E. Bauer and Thomas Collett and Christopher J. Conselice and Siegfried Eggl and Annette Ferguson and Adriano Fontana and Catherine Heymans and Isobel M. Hook and Éric Aubourg and Hervé Aussel and James Bosch and Benoit Carry and Henk Hoekstra and Konrad Kuijken and Francois Lanusse and Peter Melchior and Joseph Mohr and Michele Moresco and Reiko Nakajima and Stéphane Paltani and Michael Troxel and Viola Allevato and Adam Amara and Stefano Andreon and Timo Anguita and Sandro Bardelli and Keith Bechtol and Simon Birrer and Laura Bisigello and Micol Bolzonella and Maria Teresa Botticella and Hervé Bouy and Jarle Brinchmann and Sarah Brough and Stefano Camera and Michele Cantiello and Enrico Cappellaro and Jeffrey L. Carlin and Francisco J Castander and Marco Castellano and Ranga Ram Chari and Nora Elisa Chisari and Christopher Collins and Frédéric Courbin and Jean-Gabriel Cuby and Olga Cucciati and Tansu Daylan and Jose M. Diego and Pierre-Alain Duc and Sotiria Fotopoulou and Dominique Fouchez and Raphaël Gavazzi and Daniel Gruen and Peter Hatfield and Hendrik Hildebrandt and Hermine Landt and Leslie K. Hunt and Rodrigo Ibata and Olivier Ilbert and Jens Jasche and Benjamin Joachimi and Rémy Joseph and Rubina Kotak and Clotilde Laigle and Ariane Lançon and Søren S. Larsen and Guilhem Lavaux and Florent Leclercq and C. Danielle Leonard and Anja von der Linden and Xin Liu and Giuseppe Longo and Manuela Magliocchetti and Claudia Maraston and Phil Marshall and Eduardo L. Martín and Seppo Mattila and Matteo Maturi and Henry Joy McCracken and R. Benton Metcalf and Mireia Montes and Daniel Mortlock and Lauro Moscardini and Gautham Narayan and Maurizio Paolillo and Polychronis Papaderos and Roser Pello and Lucia Pozzetti and Mario Radovich and Marina Rejkuba and Javier Román and Rubén Sánchez-Janssen and Elena Sarpa and Barbara Sartoris and Tim Schrabback and Dominique Sluse and Stephen J. Smartt and Graham P. Smith and Colin Snodgrass and Margherita Talia and Charling Tao and Sune Toft and Crescenzo Tortora and Isaac Tutusaus and Christopher Usher and Sjoert van Velzen and Aprajita Verma and Georgios Vernardos and Karina Voggel and Benjamin Wandelt and Aaron E. Watkins and Jochen Weller and Angus H Wright and Peter Yoachim and Ilsang Yoon and Elena Zucca},
journal= {arXiv preprint arXiv:2201.03862},
year = {2022}
}
Comments
Report of the Rubin-Euclid Derived Data Products Working Group, 78 pages, 11 figures