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Globular clusters with Gaia

Author(s)
Bellazzini, M.
Giuffrida, G.
Pancino, Elena  
Marinoni, S.  
Subjects

astrometry

parallaxes

globular clusters gen...

Date Issued
2017-05-01
Mission(s)
Gaia  
Abstract
The treatment of crowded fields in Gaia data will only be a reality in a few years from now. In particular, for globular clusters, only the end-of-mission data (public in 2022-2023) will have the necessary full crowding treatment and will reach sufficient quality for the faintest stars. As a consequence, the work on the deblending and decontamination pipelines is still ongoing. We describe the present status of the pipelines for different Gaia instruments, and we model the end-of-mission crowding errors on the basis of available information. We then apply the nominal post-launch Gaia performances, appropriately worsened by the estimated crowding errors, to a set of 18 simulated globular clusters with different concentration, distance and field contamination. We conclude that there will be 10<SUP>3</SUP>-10<SUP>4</SUP> stars with astrometric performances virtually untouched by crowding (contaminated by <1 mmag) in the majority of clusters. The most limiting factor will be field crowding, not cluster crowding the most contaminated clusters will only contain 10-100 clean stars. We also conclude that (i) the systemic proper motions and parallaxes will be determined to 1 per cent or better up to ~=15 kpc, and the nearby clusters will have radial velocities to a few km s<SUP>-1</SUP>; (ii) internal kinematics will be of unprecedented quality, cluster masses will be determined to ~=10 per cent up to 15 kpc and beyond, and it will be possible to identify differences of a few km s<SUP>-1</SUP> or less in the kinematics (if any) of cluster sub-populations up to 10 kpc and beyond; (iii) the brightest stars (V ~= 17 mag) will have space-quality, wide-field photometry (mmag errors), and all Gaia photometry will have 1-3 per cent errors on the absolute photometric calibration.
URI
https://hdl.handle.net/20.500.13025/5290
DOI
10.1093/mnras/stx079
URL
http://adsabs.harvard.edu/abs/2017MNRAS.467..412P
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