A comprehensive Maximum Likelihood analysis of the structural properties of faint Milky Way satellites
Nicolas F. Martin (1), Jelte T. A. de Jong (1), Hans-Walter Rix (1), ((1) Max-Planck-Institut fuer Astronomie, Heidelberg)

TL;DR
This paper uses a Maximum Likelihood approach to accurately determine the structural properties of faint Milky Way satellites, revealing their shapes, ellipticities, and potential tidal distortions with robust statistical analysis.
Contribution
It introduces a robust Maximum Likelihood method for deriving structural parameters of faint satellites from sparse data, improving accuracy over previous smoothing techniques.
Findings
Faint satellites are more elliptical than previously thought.
The faintest Milky Way dwarf galaxies are significantly flatter (e=0.47) than brighter ones.
Most observed distortions can be explained by Poisson noise, with limited evidence for tidal effects.
Abstract
We derive the structural parameters of the recently discovered very low luminosity Milky Way satellites through a Maximum Likelihood algorithm applied to SDSS data. For each satellite, even when only a few tens of stars are available down to the SDSS flux limit, the algorithm yields robust estimates and errors for the centroid, position angle, ellipticity, exponential half-light radius and number of member stars. This latter parameter is then used in conjunction with stellar population models of the satellites to derive their absolute magnitudes and stellar masses, accounting for `CMD shot-noise'. We find that faint systems are somewhat more elliptical than initially found and ascribe that to the previous use of smoothed maps which can be dominated by the smoothing kernel. As a result, the faintest half of the Milky Way dwarf galaxies (M_V>-7.5) is significantly (4-sigma) flatter…
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