6533b7dbfe1ef96bd126ffca
RESEARCH PRODUCT
Morphology of the galaxy distribution from wavelet denoising
David L. DonohoS. ReynoldsJean-luc StarckVicent J. MartínezEnn SaarP. De La CruzSilvestre Paredessubject
PhysicsField (physics)GaussianAstrophysics (astro-ph)Structure (category theory)FOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsGalaxysymbols.namesakeDistribution (mathematics)WaveletPoint distribution modelSpace and Planetary SciencesymbolsPoint (geometry)Statistical physicsdescription
We have developed a method based on wavelets to obtain the true underlying smooth density from a point distribution. The goal has been to reconstruct the density field in an optimal way ensuring that the morphology of the reconstructed field reflects the true underlying morphology of the point field which, as the galaxy distribution, has a genuinely multiscale structure, with near-singular behavior on sheets, filaments and hotspots. If the discrete distributions are smoothed using Gaussian filters, the morphological properties tend to be closer to those expected for a Gaussian field. The use of wavelet denoising provide us with a unique and more accurate morphological description.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2005-12-01 |