Reconstructing cosmological fields using tessellation methods
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.
Keywords
Cite
@article{arxiv.astro-ph/0108493,
title = {Reconstructing cosmological fields using tessellation methods},
author = {W. E. Schaap and R. van de Weygaert},
journal= {arXiv preprint arXiv:astro-ph/0108493},
year = {2007}
}
Comments
2 pages, 2 figures, contribution to ``Where's the Matter? Tracing Dark and Bright Matter with the New Generation of Large Scale Surveys'', Eds. Treyer & Tresse, 2001, Frontier Group