---
author:
- 'L. M. Sarro'
- 'H. Bouy'
- 'A. Berihuete'
- 'E. Bertin'
- 'E. Moraux'
- 'J. Bouvier'
- 'J.-C. Cuillandre'
- 'D. Barrado'
- 'E. Solano'
bibliography:
- 'sarro.bib'
subtitle: 'I. Method and application to the Pleiades cluster'
title: 'Cluster membership probabilities from proper motions and multiwavelength photometric catalogues:'
---

[With the advent of deep wide surveys, large photometric and astrometric catalogues of literally all nearby clusters and associations have been produced. The unprecedented accuracy and sensitivity of these data sets and their broad spatial, temporal and wavelength coverage make obsolete the classical membership selection methods that were based on a handful of colours and luminosities. 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.]{} [We use Bayes’ theorem and a 