Detection of satellite remnants in the Galactic Halo with Gaia III. Detection limits for Ultra Faint Dwarf Galaxies
arXiv:1507.04353 · doi:10.1093/mnras/stv1622
Abstract
We present a method to identify Ultra Faint Dwarf Galaxy (UFDG) candidates in the halo of the Milky Way using the future Gaia catalogue and we explore its detection limits and completeness. The method is based on the Wavelet Transform and searches for over-densities in the combined space of sky coordinates and proper motions, using kinematics in the search for the first time. We test the method with a Gaia mock catalogue that has the Gaia Universe Model Snapshot (GUMS) as a background, and use a library of around 30 000 UFDGs simulated as Plummer spheres with a single stellar population. For the UFDGs we use a wide range of structural and orbital parameters that go beyond the range spanned by real systems, where some UFDGs may remain undetected. We characterize the detection limits as function of the number of observable stars by Gaia in the UFDGs with respect to that of the background and their apparent sizes in the sky and proper motion planes. We find that the addition of proper motions in the search improves considerably the detections compared to a photometric survey at the same magnitude limit. Our experiments suggest that Gaia will be able to detect UFDGs that are similar to some of the known UFDGs even if the limit of Gaia is around 2 magnitudes brighter than that of SDSS, with the advantage of having a full-sky catalogue. We also see that Gaia could even find some UFDGs that have lower surface brightness than the SDSS limit.
Accepted for publication in MNRAS
References in corpus (15)
- The Kinematics of the Ultra-Faint Milky Way Satellites: Solving the Missing Satellite Problem
- Cats and Dogs, Hair and A Hero: A Quintet of New Milky Way Companions
- Eight New Milky Way Companions Discovered in First-Year Dark Energy Survey Data
- Beasts of the Southern Wild: Discovery of nine Ultra Faint satellites in the vicinity of the Magellanic Clouds
- The Luminosity Function of the Milky Way Satellites
- The Quenching of the Ultra-Faint Dwarf Galaxies in the Reionization Era
- Stellar Multiplicity and the IMF: Most Stars Are Single
- SubHaloes going Notts: The SubHalo-Finder Comparison Project
- Leo V: A Companion of a Companion of the Milky Way Galaxy
- A New Faint Milky Way Satellite Discovered in the Pan-STARRS1 3 pi Survey
- Origin and evolution of moving groups I. Characterization in the observational kinematic-age-metallicity space
- From Galaxy Clusters to Ultra-Faint Dwarf Spheroidals: A Fundamental Curve Connecting Dispersion-supported Galaxies to Their Dark Matter Halos
- Detecting stars, galaxies, and asteroids with Gaia
- The analysis of realistic Stellar Gaia mock catalogues. I. Red Clump Stars as tracers of the central bar
- Detection of Galaxies with Gaia
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