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Faster, Better, Cheaper: News on Seeking Gaia’s Astrometric Solution with AGIS

Lammers, U.; Lindegren, Lennart LU ; Bombrun, A.; O'Mullane, W. and Hobbs, David LU (2010) Astronomical Data Analysis Software and Systems XIX In Astronomical Society of the Pacific Conference Series 434. p.309-312
Abstract
Gaia is ESA’s ambitious space astrometry mission with a foreseen launch date in early 2012. Its main objective is to perform a stellar census of the 1000 Million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec 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 5yr lifetime into a single global astrometric solution. At last year’s ADASS XVIII we presented (O4.1) in detail the fundamental working principles of AGIS, its development status, and selected results obtained by running the system on... (More)
Gaia is ESA’s ambitious space astrometry mission with a foreseen launch date in early 2012. Its main objective is to perform a stellar census of the 1000 Million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec 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 5yr lifetime into a single global astrometric solution. At last year’s ADASS XVIII we presented (O4.1) in detail the fundamental working principles of AGIS, its development status, and selected results obtained by running the system on processing hardware at ESAC, Madrid with large-scale simulated data sets. We present here the latest developments around AGIS highlighting in particular a much improved algebraic solving method that has recently been implemented. This Conjugate Gradient scheme improves the convergence behavior in significant ways and leads to a solution of much higher scientific quality. We also report on a new collaboration aiming at processing the data from the future small Japanese astrometry mission Nano-Jasmine with AGIS. (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
editor
Mizumoto, Yoshihiko; Morita, Koh-Ichiro and Ohishi, Masatoshi
volume
434
pages
4 pages
publisher
Astronomical Society of the Pacific
conference name
Astronomical Data Analysis Software and Systems XIX
ISBN
978-1-58381-748-3
language
English
LU publication?
yes
id
a255242b-3819-4c0e-b225-c16901a65ec6 (old id 1895684)
alternative location
http://www.aspbooks.org/a/volumes/article_details/?paper_id=32153
date added to LUP
2011-04-29 15:51:56
date last changed
2016-04-16 09:23:47
@misc{a255242b-3819-4c0e-b225-c16901a65ec6,
  abstract     = {Gaia is ESA’s ambitious space astrometry mission with a foreseen launch date in early 2012. Its main objective is to perform a stellar census of the 1000 Million brightest objects in our galaxy (completeness to V=20 mag) from which an astrometric catalog of micro-arcsec 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 5yr lifetime into a single global astrometric solution. At last year’s ADASS XVIII we presented (O4.1) in detail the fundamental working principles of AGIS, its development status, and selected results obtained by running the system on processing hardware at ESAC, Madrid with large-scale simulated data sets. We present here the latest developments around AGIS highlighting in particular a much improved algebraic solving method that has recently been implemented. This Conjugate Gradient scheme improves the convergence behavior in significant ways and leads to a solution of much higher scientific quality. We also report on a new collaboration aiming at processing the data from the future small Japanese astrometry mission Nano-Jasmine with AGIS.},
  author       = {Lammers, U. and Lindegren, Lennart and Bombrun, A. and O'Mullane, W. and Hobbs, David},
  editor       = {Mizumoto, Yoshihiko and Morita, Koh-Ichiro and Ohishi, Masatoshi},
  isbn         = {978-1-58381-748-3},
  language     = {eng},
  pages        = {309--312},
  publisher    = {ARRAY(0x84f1688)},
  series       = {Astronomical Society of the Pacific Conference Series},
  title        = {Faster, Better, Cheaper: News on Seeking Gaia’s Astrometric Solution with AGIS},
  volume       = {434},
  year         = {2010},
}