➥ Tip! Refine or expand your search. Authors are sometimes listed as 'Smith, J. K.' instead of 'Smith, John' so it is useful to search for last names only. Note this is currently a simple phrase search.
Wavelets are a powerful mathematical tool whose most celebrated applications are the analysis, compression and de-noising of scientific data. JOFILUREN is a wavelet code designed for data analysis and de-noising applications. It is written in Fortran, is portable, and can also be used for studying and reducing the physical effects of particle noise in particle-mesh computer simulations. JOFILUREN is introduced in Paper I, is described in Paper II, and is further discussed in Paper III, as referenced below.
* Paper I: Romeo A. B., Horellou C. and Bergh J. (2003), "N-Body Simulations with Two-Orders-of-Magnitude Higher Performance Using Wavelets", Monthly Notices of the Royal Astronomical Society 342, 337-344
https://ui.adsabs.harvard.edu/abs/2003MNRAS.342..337R/abstract
* Paper II: Romeo A. B., Horellou C. and Bergh J. (2004), "A Wavelet Add-On Code for New-Generation N-Body Simulations and Data De-Noising (JOFILUREN)", Monthly Notices of the Royal Astronomical Society 354, 1208-1222
https://ui.adsabs.harvard.edu/abs/2004MNRAS.354.1208R/abstract
* Paper III: Romeo A. B., Agertz O., Moore B. and Stadel J. (2008), "Discreteness Effects in ΛCDM Simulations: A Wavelet-Statistical View", The Astrophysical Journal 686, 1-12
https://ui.adsabs.harvard.edu/abs/2008ApJ...686....1R/abstract
Supplementary information is given in the readme file of JOFILUREN. A pedagogical introduction to wavelets and wavelet applications, containing several useful videos and lecture notes, is given here:
https://fy.chalmers.se/~romeo/RRY025/notes+videos/