Probabilistic multi-catalogue positional cross-match

F.X. Pineau (1) , S. Derriere (1) , C. Motch (1) , F.J. Carrera , F. Genova (1) , L. Michel (1) , B. Mingo , A. Mints , A. Nebot Gómez-Morán (1) , S.R. Rosen , A. Ruiz Camuñas

1 ObAS - Observatoire astronomique de Strasbourg

Context. Catalogue cross-correlation is essential to building large sets of multi-wavelength data, whether it be to study the properties of populations of astrophysical objects or to build reference catalogues (or timeseries) from survey observations. Nevertheless, resorting to automated processes with limited sets of information available on large numbers of sources detected at different epochs with various filters and instruments inevitably leads to spurious associations. We need both statistical criteria to select detections to be merged as unique sources, and statistical indicators helping in achieving compromises between completeness and reliability of selected associations.

Mots clés: methods: data analysis; methods: statistical; catalogs; astrometry

Domaines: Instrumentations et Détecteurs [physics.ins-det]; Astrophysique [astro-ph]

F.X. Pineau, S. Derriere, C. Motch, F.J. Carrera, F. Genova, et al.. Probabilistic multi-catalogue positional cross-match. Astronomy and Astrophysics - A&A, 2017, 597, pp.A89. ⟨10.1051/0004-6361/201629219⟩. ⟨hal-01554116⟩