Reconstructing cosmological fields using tessellation methods
| dc.creator | Schaap, W. E. | |
| dc.creator | van de Weygaert, R. | |
| dc.date | 2001-08-30 | |
| dc.date.accessioned | 2026-07-07T01:59:47Z | |
| dc.date.available | 2026-07-07T01:59:47Z | |
| dc.description | 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. | |
| dc.description | 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 | |
| dc.identifier | https://arxiv.org/abs/astro-ph/0108493 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/0108493 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/3257 | |
| dc.subject | Astrophysics | |
| dc.title | Reconstructing cosmological fields using tessellation methods | |
| dc.type | text |