Evidence for substructure in Ursa Minor dwarf spheroidal galaxy using a Bayesian object detection method

We present a method for identifying localized secondary populations in stellar velocity data using Bayesian statistical techniques. We apply this method to the dwarf spheroidal galaxy Ursa Minor and find two secondary objects in this satellite of the Milky Way. One object is kinematically cold with...

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Bibliographic Details
Published inMonthly notices of the Royal Astronomical Society Vol. 442; no. 2; pp. 1718 - 1730
Main Authors Pace, Andrew B., Martinez, Gregory D., Kaplinghat, Manoj, Muñoz, Ricardo R.
Format Journal Article
LanguageEnglish
Published London Oxford University Press 01.08.2014
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Summary:We present a method for identifying localized secondary populations in stellar velocity data using Bayesian statistical techniques. We apply this method to the dwarf spheroidal galaxy Ursa Minor and find two secondary objects in this satellite of the Milky Way. One object is kinematically cold with a velocity dispersion of 4.25 ± 0.75 km s−1 and centred at (9.1 arcmin ± 1.5, 7.2 arcmin ± 1.2) in relative RA and Dec. with respect to the centre of Ursa Minor. The second object has a large velocity offset of $-12.8^{+1.75}_{-1.5}\ \rm{km \: s^{-1}}$ compared to Ursa Minor and centred at $(-14.0\,{\rm arcmin}^{+2.4}_{-5.8}, -2.5\,{\rm arcmin}^{+0.4}_{-1.0})$ . The kinematically cold object has been found before using a smaller data set, but the prediction that this cold object has a velocity dispersion larger than 2.0 km s−1 at 95 per cent confidence level differs from previous work. We use two- and three-component models along with the information criteria and Bayesian evidence model selection methods to argue that Ursa Minor has additional localized secondary populations. The significant probability for a large velocity dispersion in each secondary object raises the intriguing possibility that each has its own dark matter halo, that is, it is a satellite of a satellite of the Milky Way.
ISSN:0035-8711
1365-2966
1365-2966
DOI:10.1093/mnras/stu938