JOFILUREN: A wavelet code for data analysis and de-noising

Övrigt - Programkod, 2025

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 also used 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

*************************************************************
=> Please cite both Paper I and Paper II when using JOFILUREN
*************************************************************

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/