Spatial correlations in the Gaia astrometric solution
(2010) 261st Symposium of the International-Astronomical-Union 261. p.320-324- Abstract
- Accurate characterization of the astrometric errors in the forthcoming Gaia catalogue is essential for making optimal use of the data. Using small-scale numerical simulations of the astrometric solution, we investigate the expected spatial correlation between the astrometric errors of stars as function of their angular separation. Extrapolating to the full-scale solution for the final Gala catalogue, we find that the expected correlations are generally very small, but could reach some fraction of a percent for angular separations smaller than about one degree. The spatial correlation length is related to the size of the field of view of Gala., while the maximum correlation coefficient is related to the mean number of stars present in the... (More)
- Accurate characterization of the astrometric errors in the forthcoming Gaia catalogue is essential for making optimal use of the data. Using small-scale numerical simulations of the astrometric solution, we investigate the expected spatial correlation between the astrometric errors of stars as function of their angular separation. Extrapolating to the full-scale solution for the final Gala catalogue, we find that the expected correlations are generally very small, but could reach some fraction of a percent for angular separations smaller than about one degree. The spatial correlation length is related to the size of the field of view of Gala., while the maximum correlation coefficient is related to the mean number of stars present in the field at any time. Our scalable simulation tool (AGISLab) makes it possible to characterize the astrometric errors and correlations, e.g., as functions of position and magnitude. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1678391
- author
- Holl, Berry
LU
; Hobbs, David
LU
and Lindegren, Lennart LU
- organization
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- space vehicles, methods: statistical, methods: data analysis, catalogs, Astrometry, reference systems
- host publication
- Relativity in Fundamental Astronomy: Dynamics, Reference Frames, and Data Analysis (IAU Symposium)
- volume
- 261
- pages
- 320 - 324
- publisher
- Cambridge University Press
- conference name
- 261st Symposium of the International-Astronomical-Union
- conference dates
- 2009-04-27 - 2009-05-01
- external identifiers
-
- wos:000280569700051
- scopus:84864452179
- ISSN
- 1743-9221
- 1743-9213
- DOI
- 10.1017/S1743921309990573
- language
- English
- LU publication?
- yes
- id
- 8900cfa4-cc8b-4552-aea5-7c21bb04a9a6 (old id 1678391)
- date added to LUP
- 2016-04-01 10:59:48
- date last changed
- 2025-01-28 05:31:01
@inproceedings{8900cfa4-cc8b-4552-aea5-7c21bb04a9a6, abstract = {{Accurate characterization of the astrometric errors in the forthcoming Gaia catalogue is essential for making optimal use of the data. Using small-scale numerical simulations of the astrometric solution, we investigate the expected spatial correlation between the astrometric errors of stars as function of their angular separation. Extrapolating to the full-scale solution for the final Gala catalogue, we find that the expected correlations are generally very small, but could reach some fraction of a percent for angular separations smaller than about one degree. The spatial correlation length is related to the size of the field of view of Gala., while the maximum correlation coefficient is related to the mean number of stars present in the field at any time. Our scalable simulation tool (AGISLab) makes it possible to characterize the astrometric errors and correlations, e.g., as functions of position and magnitude.}}, author = {{Holl, Berry and Hobbs, David and Lindegren, Lennart}}, booktitle = {{Relativity in Fundamental Astronomy: Dynamics, Reference Frames, and Data Analysis (IAU Symposium)}}, issn = {{1743-9221}}, keywords = {{space vehicles; methods: statistical; methods: data analysis; catalogs; Astrometry; reference systems}}, language = {{eng}}, pages = {{320--324}}, publisher = {{Cambridge University Press}}, title = {{Spatial correlations in the Gaia astrometric solution}}, url = {{http://dx.doi.org/10.1017/S1743921309990573}}, doi = {{10.1017/S1743921309990573}}, volume = {{261}}, year = {{2010}}, }