Paper:	Probabilistic Cross-Identification of Astronomical Sources
Volume:	394, Astronomical Data Analysis Software and Systems (ADASS) XVII
Page:	165
Authors:	Budavári, T.; Szalay, A.S.; Nieto-Santisteban, M.
Abstract:	We present the general probabilistic formalism for cross-identifying astronomical point sources in multiple observations. Our Bayesian approach is the foundation of a unified framework of object matching, where on top of the spatial information, physical properties can be also considered, such as colors, redshift and luminosity. The new methodology is crucial for multi-wavelength studies leveraging the synergy of todays multi-wavelength observations and to enter the time-domain science of the upcoming survey telescopes.

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