Gaia: Organisation and challenges for the data processing
arXiv:0712.0889 · doi:10.1017/S1743921308019145
Abstract
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 organisation of the European Consortium responsible for its design and implementation.
7 pages, 2 figures, Proceedings of IAU Symp. 248
Cited by in corpus (12)
- The astrometric core solution for the Gaia mission. Overview of models, algorithms and software implementation
- The Gaia astrophysical parameters inference system (Apsis). Pre-launch description
- The evolution of the Sun's birth cluster and the search for the solar siblings with Gaia
- Using Galactic Cepheids to verify Gaia parallaxes
- Proper motion survey and kinematic analysis of the Rho Ophiuchi embedded cluster
- The impact of CCD radiation damage on Gaia astrometry: I. Image location estimation in the presence of radiation damage
- Predictions for the detection of Tidal Streams with Gaia using Great Circle Methods
- Short timescale variables in the Gaia era: detection and characterization by structure function analysis
- A fast 2D image reconstruction algorithm from 1D data for the Gaia mission
- Properties of ultra-cool dwarfs with Gaia. An assessment of the accuracy for the temperature determination
- A conjugate gradient algorithm for the astrometric core solution of Gaia
- Application of Time Transfer Functions to Gaia's global astrometry - Validation on DPAC simulated Gaia-like observations