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 was introduced in Paper I, was described in Paper II, was also used in Paper III (see references below), and is published in the Astrophysics Source Code Library (see ASCL Code Record ascl:2504.034).

* 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://academic.oup.com/mnras/article/342/2/337/1026392
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* 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://academic.oup.com/mnras/article/354/4/1208/1053290
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* 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://iopscience.iop.org/article/10.1086/591236
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=> Please cite both Paper I and Paper II when using JOFILUREN
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Supplementary information is given in the README.pdf file of JOFILUREN.  A pedagogical introduction to wavelets and wavelet applications, containing several useful videos and lecture notes, is given on the following Course Website (see WEEK 3 and WEEK 4):
https://fy.chalmers.se/~romeo/RRY025/notes+videos/
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