Issue |
EAS Publications Series
Volume 67-68, 2014
The Milky Way Unravelled by Gaia: GREAT Science from the Gaia Data Releases
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Page(s) | 385 - 385 | |
Section | Poster Presentations | |
DOI | https://doi.org/10.1051/eas/1567079 | |
Published online | 17 July 2015 |
N.A. Walton, F. Figueras, L. Balaguer-Núñez and C. Soubiran (eds)
EAS Publications Series, 67–68 (2014) 385-385
Detectability of Ultra Faint Dwarf Galaxies with Gaia
1 Instituto de Astronomía, Universidad Nacional Autónoma de México (UNAM), Ensenada B.C., México
2 Centro de Investigaciones de Astronomía (CIDA), Mérida, Venezuela
3 ESA, European Space Research and Technology Centre, Noordwijk, The Netherlands
4 Departament d'Astronomia i Meteorologia, Institut de Ciències del Cosmos, Universitat de Barcelona, Barcelona, Spain
5 Sterrewacht Leiden, Leiden, The Netherlands
6 Instituto de Astronomía, Universidad Nacional Autónoma de México, México DF, México
7 Instituto de Astrofísica de Canarias, Tenerife, Spain
We present a technique to detect Ultra-Faint Dwarf Galaxies (UFDs) in the Galactic Halo, using sky and proper motion information.The method uses wavelet transforms to detect peaks in the sky and proper motion planes, and to evaluate the probability of these being stochastic fluctuations. We aim to map thoroughly the detection limits of this technique. For this, we have produced a library of 15,000 synthetic UFDs, embedded in the Gaia Universe Model Snapshot (GUMS) background (Robin et al. 2012), each at a different distance, different luminosity, half-light radius, velocity dispersion and center-of-mass velocity, varying in ranges that extend well beyond those spanned by known classical and ultra-faint dSphs. We use these synthetic UFDs as a benchmark to characterize the completeness and detection limits of our technique, and present our results as a function of different physical and observable parameters of the UFDs (see full poster for more details at https://gaia.ub.edu/Twiki/pub/GREATITNFC/ProgramFinalconference/Poster_UFGX_Bcn_C_Mateu.pdf).
© EAS, EDP Sciences, 2015