Published October 15, 2007
| Version v1
Conference paper
Gaia: organisation and challenges for the data processing
Contributors
Others:
- Observatoire de la Côte d'Azur ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)
- Max-Planck-Institut für Astronomie (MPIA)
- Universität Heidelberg [Heidelberg]
- INAF-Osservatorio Astrofisico di Torino (INAF-OATo)
- Observatoire de Genève
- Observatoire de Paris ; Université Paris sciences et lettres (PSL)
- Institute of Astronomy, Cambridge, England
- Universitat Autónoma de Barcelona
- European Space Astronomy Centre (ESAC) ; European Space Agency (ESA)
- Centre National d'Études Spatiales [Toulouse] (CNES)
- Universite Libre de Bruxelles, Brussels, Belgium
- European Space Research and Technology Centre (ESTEC) ; European Space Agency (ESA)
- Jin
- W. J.; Platais
- I.; Perryman
- M. A. C.
Description
Gaia is an ambitious space astrometry mission of ESA with a main objective to map the sky in astrometry and photometry down to a magnitude 20 by the end of the next decade. While the mission is built and operated by ESA and an industrial consortium, the data processing is entrusted to a consortium formed by the scientific community, which was formed in 2006 and formally selected by ESA one year later. The satellite will downlink around 100 TB of raw telemetry data over a mission duration of 5 years from which a very complex iterative processing will lead to the final science output: astrometry with a final accuracy of a few tens of microarcseconds, epoch photometry in wide and narrow bands, radial velocity and spectra for the stars brighter than 17 mag. We discuss the general principles and main difficulties of this very large data processing and present the organization of the European Consortium responsible for its design and implementation.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-03735019
- URN
- urn:oai:HAL:hal-03735019v1
Origin repository
- Origin repository
- UNICA