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Characterizing the Astrometric Errors in the Gaia Catalogue

Holl, Berry LU ; Lindegren, Lennart LU orcid and Hobbs, David LU orcid (2011) In EAS Publications Series 45(GAIA: At the Frontiers of Astrometry). p.117-122
Abstract
Accurate characterization of the errors in the global astrometric solution for Gaia is essential for making optimal use of the catalogue data. We investigate the structure of the covariance between the estimated astrometric parameters by studying the properties of the astrometric least squares solution. We find that astrometric errors can be separated in a star and an attitude part, due to the estimation of the star and attitude parameters respectively. Hence the covariances can be separated in a star, an attitude and a cross term. This is demonstrated using our scalable simulation tool AGISLab, where the covariances are estimated statistically using Monte Carlo techniques.
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
EAS Publications Series
volume
45
issue
GAIA: At the Frontiers of Astrometry
pages
117 - 122
publisher
EDP Sciences
external identifiers
  • wos:000289226200020
  • scopus:79956132212
ISSN
1633-4760
DOI
10.1051/eas/1045020
language
English
LU publication?
yes
id
eebcbd87-1daf-45bf-ae24-c7f8a94bf90b (old id 1894766)
date added to LUP
2016-04-01 10:15:05
date last changed
2025-04-04 14:24:26
@article{eebcbd87-1daf-45bf-ae24-c7f8a94bf90b,
  abstract     = {{Accurate characterization of the errors in the global astrometric solution for Gaia is essential for making optimal use of the catalogue data. We investigate the structure of the covariance between the estimated astrometric parameters by studying the properties of the astrometric least squares solution. We find that astrometric errors can be separated in a star and an attitude part, due to the estimation of the star and attitude parameters respectively. Hence the covariances can be separated in a star, an attitude and a cross term. This is demonstrated using our scalable simulation tool AGISLab, where the covariances are estimated statistically using Monte Carlo techniques.}},
  author       = {{Holl, Berry and Lindegren, Lennart and Hobbs, David}},
  issn         = {{1633-4760}},
  language     = {{eng}},
  number       = {{GAIA: At the Frontiers of Astrometry}},
  pages        = {{117--122}},
  publisher    = {{EDP Sciences}},
  series       = {{EAS Publications Series}},
  title        = {{Characterizing the Astrometric Errors in the Gaia Catalogue}},
  url          = {{http://dx.doi.org/10.1051/eas/1045020}},
  doi          = {{10.1051/eas/1045020}},
  volume       = {{45}},
  year         = {{2011}},
}