Structure of the M31 Satellite System: Bayesian Distances from the Tip of the Red Giant Branch
Description
The satellite system of a large galaxy represents the ideal laboratory for the study of galactic evolution. Whether that evolution has been dominated by past mergers or in situ formation, clues abound within the structure of the satellite system. This study utilizes recent photometric data obtained for the halo of M31 via the Pan-Andromeda Archaeological Survey (PAndAS), to undertake an analysis of the spatial distribution of the M31 satellite system. To do this, a new Bayesian algorithm is developed for measuring the distances to the satellites from the tip of their Red Giant Branch. The distances are obtained in the form of posterior probability distributions, which give the probability of the satellite lying at any given distance after accounting for the various spatial and photometric characteristics of the component stars. Thus robust distances are obtained for M31 and 27 of its satellite galaxies which are then transformed into three-dimensional, M31-centric positions yielding a homogenous sample of unprecedented size in any galaxy halo. A rigorous analysis of the resulting distribution is then undertaken, with the homogeneity of the sample fully exploited in characterizing the effects of data incompleteness. This analysis reveals a satellite distribution which as a whole, is roughly isothermal and no more planar than one would expect from a random distribution of equal size. A subset of 15 satellites is however found to be remarkably planar, with a root-mean-square thickness of just 12.34+0.75-0.43 kpc. Of these satellites, 13 have subsequently been identified as co-rotating. This highly significant plane is all the more striking for its orientation. From the Earth we view it perfectly edge on and it is almost perpendicular to the Milky Way's disk. Furthermore, it is roughly orthogonal to the disk-like structure commonly reported for the Milky Way's satellite galaxies. The distribution is also found to be highly asymmetric, with the majority of satellites lying on the near side of M31. These findings point to a complex evolutionary history with possible links to that of our own galaxy. (author)
Abstract (French)
Cette etude concerne le distribution spatiale du systeme des satellites de M31. Une nouvelle technique bayesienne pour la determination des distances d'objets base sur le point-final des magnitudes des geants Rouges a ete developpe et utilise pour obtenir des distributions de probabilite a distance pour les M31 et 27 de ses galaxies satellites. Ces distances sont ensuite utilisees pour calculer les positions des satellites en trois dimensions. Une analyse ulterieure de la distribution spatiale qui en resulte revele heterogeneite frappante, avec pres de la moitie des satellites confines a un disque curieusement oriente mince. La distribution est aussi fortement asymetrique, avec la majorite des satellites se trouvant sur le cote de la Voie Lactee M31. (auteur)
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Additional details
Additional titles
- Original title (English)
- Etude de la structure tridimensionnelle du systeme de satellites de M31 au moyen d'une methode bayesienne de localisation de la pointe de la branche des geantes rouges
Publishing Information
- Imprint Pagination
- 337 p.
- Report number
- FRNC-TH--11639
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 52048640
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Resource subtype / Literary indicator
- Thesis
- Descriptors DEI
- ALGORITHMS; DISTANCE; FORTRAN; LUMINOSITY; MARKOV PROCESS; MAXIMUM-LIKELIHOOD FIT; MILKY WAY; MONTE CARLO METHOD; PHOTOMETRY; PROBABILITY DENSITY FUNCTIONS; RED GIANT STARS; SPATIAL DISTRIBUTION
- Descriptors DEC
- CALCULATION METHODS; DISTRIBUTION; FUNCTIONS; GALAXIES; GIANT STARS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION; OPTICAL PROPERTIES; PHYSICAL PROPERTIES; PROGRAMMING LANGUAGES; STARS; STOCHASTIC PROCESSES
Optional Information
- Notes
- [180 refs.]; Available from the INIS Liaison Officer for France, see the INIS website for current contact and E-mail addresses