Adaptive Spatial Binning of 2D Spectra and Images Using Voronoi Tessellations
Michele Cappellari, Yannick Copin
Abstract
We present new techniques to perform adaptive spatial binning of two-dimensional (2D) data to reach a chosen constant signal-to-noise ratio per bin. These methods are required particularly for the proper analysis of Integral Field Spectrograph (IFS) observations, but can also be used for standard photometric imagery. Various schemes are tested and compared using data obtained with the panoramic IFS SAURON.
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