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Reconstructing cosmological fields using tessellation methods

W. E. Schaap·R. van de Weygaert
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Abstract

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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W. E. Schaap, R. van de Weygaert. 2001-08-30. Reconstructing cosmological fields using tessellation methods. https://arxiv.org/abs/astro-ph/0108493

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