Details

Autor(en) / Beteiligte

• Sarro, L M
• Bouy, H
• Berihuete, A
• Bertin, E
• Moraux, E
• Bouvier, J
• Cuillandre, J-C
• Barrado, D
• Solano, E

Titel

Cluster membership probabilities from proper motions and multi-wavelength photometric catalogues: I. Method and application to the Pleiades cluster

Ist Teil von

• Astronomy and astrophysics (Berlin), 2014-03, Vol.563, p.np-np

Ort / Verlag

EDP Sciences

Erscheinungsjahr

2014

Link zum Volltext

Quelle

Electronic Journals Library - Freely accessible e-journals

Beschreibungen/Notizen

• With the advent of deep wide surveys, large photometric and astrometric catalogues of literally all nearby clusters and associations have been produced. We present a new technique designed to take full advantage of the high dimensionality (photometric, astrometric, temporal) of such a survey to derive self-consistent and robust membership probabilities of the Pleiades cluster. We aim at developing a methodology to infer membership probabilities to the Pleiades cluster from the DANCe multidimensional astro-photometric data set in a consistent way throughout the entire derivation. The determination of the membership probabilities has to be applicable to censored data and must incorporate the measurement uncertainties into the inference procedure. Multidimensional data sets require statistically sound multivariate analysis techniques to fully exploit their scientific information content. Proper motions in particular are, as expected, critical for the correct separation of contaminants. The methodology presented here is ready for application in data sets that include more dimensions, such as radial and/or rotational velocities, spectral indices, and variability.