The Euclid Data Processing Challenges

Abstract

Euclid is a Europe-led cosmology space mission dedicated to a visible and near infrared survey of the entire extra-galactic sky. Its purpose is to deepen our knowledge of the dark content of our Universe. After an overview of the Euclid mission and science, this contribution describes how the community is getting organized to face the data analysis challenges, both in software development and in operational data processing matters. It ends with a more specific account of some of the main contributions of the Swiss Science Data Center (SDC-CH).

arXiv comment10 pages, 4 figures, IAU Symposium 325 on Astroinformatics

References in corpus (5)

• The COSMOS2015 Catalog: Exploring the 1<z<6 Universe with half a million galaxies
• The Dark Energy Survey: more than dark energy - an overview
• KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
• SED-dependent Galactic Extinction Prescription for Euclid and Future Cosmological Surveys
• ASTErIsM - Application of topometric clustering algorithms in automatic galaxy detection and classification

Cited by in corpus (5)

• Unsupervised star, galaxy, qso classification: Application of HDBSCAN
• AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images
• Euclid: Identification of asteroid streaks in simulated images using StreakDet software
• Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case
• Real-Time Detection and Classification of Astronomical Transient Events: The State-of-the-Art