The Gaia On-Board Scientific Data Handling

Details The Gaia On-Board Scientific Data Handling The Gaia On-Board Scientific Data Handling

Jan 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005esasp.576..335a&link_type=abstract

"Proceedings of the Gaia Symposium "The Three-Dimensional Universe with Gaia" (ESA SP-576). Held at the Observatoire de Paris-Me

Computer Science

Performance

1

Gaia, Techniques Image Processing, Methods Data Analysis

Scientific paper

Because Gaia will perform a continuous all-sky survey at a medium (Spectro) or very high (Astro) angular resolution, the on-board processing needs to cope with a high variety of objects and densities which calls for generic and adaptive algorithms at the detection level, but not only. Consequently, the Pyxis scientific algorithms developed for the on-board data handling cover a large range of application: detection and confirmation of astronomical objects, background sky estimation, classification of detected objects, Near-Earth Objects onboard detection, and window selection and positioning. Very dense fields, where the real-time computing requirements should remain within fixed bounds, are particularly challenging. Another constraint stems from the limited telemetry bandwidth and an additional compromise has to be found between scientific requirements and constraints in terms of the mass, volume and power budgets of the satellite. The rationale for the on-board data handling procedure is described here, together with the developed algorithms, the main issues and the expected scientific performances in the Astro and Spectro instruments.

Affiliated with

Also associated with

No associations

Rating

The Gaia On-Board Scientific Data Handling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Gaia On-Board Scientific Data Handling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Gaia On-Board Scientific Data Handling will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-898835