Gaiaastrometry for stars with too few observations. A Bayesian approach-Reference-Cited by-同舟云学术

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Gaiaastrometry for stars with too few observations. A Bayesian approach

Published:2015-10-28 Issue: Volume:583 Page:A68
ISSN:0004-6361
Container-title:Astronomy & Astrophysics
language:
Short-container-title:A&A

Author:

Michalik Daniel,Lindegren Lennart,Hobbs David,Butkevich Alexey G.

Funder

ESA

Publisher

EDP Sciences

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://www.aanda.org/10.1051/0004-6361/201526936/pdf

Reference12 articles.

1. A conjugate gradient algorithm for the astrometric core solution ofGaia

2. Science performance of Gaia, ESA’s space-astrometry mission

3. de Bruijne, J., Siddiqui, H., Lammers, U., et al. 2010, in Relativity in Fundamental Astronomy: Dynamics, Reference Frames, and Data Analysis, ed. S. A. Klioner, P. K. Seidelmann, & M. H. Soffel, IAU Symp., 261, 331

4. Error characterization of theGaiaastrometric solution

5. The astrometric core solution for theGaiamission

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