A wavelet add-on code for new-generation N-body simulations and data de-noising (JOFILUREN)
Journal article, 2004

Wavelets are a new and powerful mathematical tool, whose most celebrated applications are data compression and de‐noising. In a previous paper, we have shown that wavelets can be used for removing noise efficiently from cosmological, galaxy and plasma N‐body simulations. The expected two‐orders‐of‐magnitude higher performance means, in terms of the well‐known Moore's law, an advance of more than one decade in the future. In this paper, we describe a wavelet add‐on code designed for such an application. Our code can be included in common grid‐based N‐body codes, is written in fortran, is portable and is available on request from the first author. The code can also be applied for removing noise from standard data, such as signals and images.

Author

Alessandro Romeo

Chalmers, Department of Radio and Space Science

Cathy Horellou

Chalmers, Department of Radio and Space Science

Jöran Bergh

Chalmers, Department of Mathematics

University of Gothenburg

Monthly Notices of the Royal Astronomical Society

0035-8711 (ISSN) 1365-2966 (eISSN)

Vol. 354 4 1208-1222

Subject Categories

Astronomy, Astrophysics and Cosmology

Roots

Basic sciences

DOI

10.1111/j.1365-2966.2004.08303.x

More information

Created

10/6/2017