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To Boldly Go Where No Man has Gone Before: Seeking Gaia's Astrometric Solution with AGIS

Lammers, U.; Lindegren, Lennart LU ; O'Mullane, W. and Hobbs, David LU (2009) 18th annual conference on Astronomical Data Analysis Software and Systems (ADASS XVIII) In Astronomical Society of the Pacific Conference Series 411. p.55-64
Abstract
Gaia is ESA's ambitious space astrometry mission with a foreseen launch date in late 2011. Its main objective is to perform a stellar census of the 1,000 million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec (μas) level accuracy will be constructed. A key element in this endeavor is the Astrometric Global Iterative Solution (AGIS) - the mathematical and numerical framework for combining the ≈80 available observations per star obtained during Gaia's 5 yr lifetime into a single global astrometic solution. AGIS consists of four main algorithmic cores which improve the source astrometic parameters, satellite attitude, calibration, and global parameters in a block-iterative manner.... (More)
Gaia is ESA's ambitious space astrometry mission with a foreseen launch date in late 2011. Its main objective is to perform a stellar census of the 1,000 million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec (μas) level accuracy will be constructed. A key element in this endeavor is the Astrometric Global Iterative Solution (AGIS) - the mathematical and numerical framework for combining the ≈80 available observations per star obtained during Gaia's 5 yr lifetime into a single global astrometic solution. AGIS consists of four main algorithmic cores which improve the source astrometic parameters, satellite attitude, calibration, and global parameters in a block-iterative manner. We present and discuss this basic scheme, the algorithms themselves and the overarching system architecture. The latter is a data-driven distributed processing framework designed to achieve an overall system performance that is not I/O limited. AGIS is being developed as a pure Java system by a small number of geographically distributed European groups. We present some of the software engineering aspects of the project and show used methodologies and tools. Finally we will briefly discuss how AGIS is embedded into the overall Gaia data processing architecture. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Astronomical Society of the Pacific Conference Series
volume
411
pages
10 pages
publisher
Astronomical Society of the Pacific
conference name
18th annual conference on Astronomical Data Analysis Software and Systems (ADASS XVIII)
ISBN
978-1-58381-702-5
language
English
LU publication?
yes
id
44ea8c97-99c0-49f6-a1b8-08161122e589 (old id 1936378)
alternative location
http://adsabs.harvard.edu/abs/2009ASPC..411...55L
date added to LUP
2011-04-29 15:49:17
date last changed
2016-04-16 09:12:40
@misc{44ea8c97-99c0-49f6-a1b8-08161122e589,
  abstract     = {Gaia is ESA's ambitious space astrometry mission with a foreseen launch date in late 2011. Its main objective is to perform a stellar census of the 1,000 million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec (μas) level accuracy will be constructed. A key element in this endeavor is the Astrometric Global Iterative Solution (AGIS) - the mathematical and numerical framework for combining the ≈80 available observations per star obtained during Gaia's 5 yr lifetime into a single global astrometic solution. AGIS consists of four main algorithmic cores which improve the source astrometic parameters, satellite attitude, calibration, and global parameters in a block-iterative manner. We present and discuss this basic scheme, the algorithms themselves and the overarching system architecture. The latter is a data-driven distributed processing framework designed to achieve an overall system performance that is not I/O limited. AGIS is being developed as a pure Java system by a small number of geographically distributed European groups. We present some of the software engineering aspects of the project and show used methodologies and tools. Finally we will briefly discuss how AGIS is embedded into the overall Gaia data processing architecture.},
  author       = {Lammers, U. and Lindegren, Lennart and O'Mullane, W. and Hobbs, David},
  isbn         = {978-1-58381-702-5},
  language     = {eng},
  pages        = {55--64},
  publisher    = {ARRAY(0xba70860)},
  series       = {Astronomical Society of the Pacific Conference Series},
  title        = {To Boldly Go Where No Man has Gone Before: Seeking Gaia's Astrometric Solution with AGIS},
  volume       = {411},
  year         = {2009},
}