Reconstructing cosmological fields using tessellation methods

Astronomy and Astrophysics – Astrophysics

Scientific paper

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2 pages, 2 figures, contribution to ``Where's the Matter? Tracing Dark and Bright Matter with the New Generation of Large Scal

Scientific paper

Astronomical observations, physical experiments as well as computer simulations often involve discrete data sets supposed to represent a fair sample of an underlying smooth and continuous field. Reconstructing the underlying fields from a set of irregularly sampled data is therefore a recurring key issue in operations on astronomical data sets. Conventional methods involve artificial filtering through a grid or a smoothing kernel and fail to achieve an optimal result. Here we describe a fully self-adaptive geometric method which does not make use of artificial filtering, and which makes optimal use of the available information.

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