The Hierarchical Equal Area iso-Latitude Pixelation of the Sphere (HEALPix, http://healpix.sf.net
) is both a mathematical pixelation of the sphere and a suite of software tools implementing it in many different languages (C, C++, Fortran, IDL/GDL, Java, Python). It has been used in the simulation, observation and analysis of WMAP, Planck and many other CMB and astronomical missions and has become a standard tool used in many different astronomical fields, such as large galaxy surveys (eg, SDSS), 3D structure of the Galaxy (eg, GAIA), high energy cosmic rays (eg, Pierre Auger Observatory), ..., and is fully supported by many Virtual Observatory visualization tools (eg, Aladin).
Third party developments have implemented new functionalities like wavelet analysis, Minkowski functionals, structures identification, and propose wrappings or translations of HEALPix functionalities in other languages (eg, Matlab/Octave, Yorick).
This talk will review what is currently possible with HEALPix, in terms of simulations, Spherical Harmonics transforms, data processing, visualization, statistical analyses, search of local extrema, pixel queries, I/O, and the projected developments including database storage and queries, multi-resolution dataset (MOC),