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IntroductionThe analysis of functions on domains with spherical topology occupies a central place in physical science and engineering disciplines. This is particularly apparent in the fields of astronomy, cosmology, geophysics, atomic and nuclear physics. In many cases the geometry is either dictated by the object under study or approximate spherical symmetry can be exploited to yield powerful perturbation methods. Practical limits for the purely analytical study of these problems create an urgent necessity for efficient and accurate numerical tools. The simplicity of the spherical form belies the intricacy of global analysis on the sphere. There is no known point set which achieves the analogue of uniform sampling in Euclidean space and allows exact and invertible discrete spherical harmonic decompositions of arbitrary but band-limited functions. Any existing proposition of practical schemes for the discrete treatment of such functions on the sphere introduces some (hopefully tiny) systematic error dependent on the global properties of the point set. The goal is to minimise these errors and faithfully represent deterministic functions as well as realizations of random variates both in configuration and Fourier space while maintaining computational efficiency.
We illustrate these points using as an example the field which is particularly
close to the authors' hearts, Cosmic Microwave Background (CMB)
anisotropies. Here we are in the happy situation of expecting an explosion
of available data within the next decade.
The Microwave Anisotropy Probe (MAP) (NASA) and Planck Surveyor (ESA)
missions are aiming
to provide multi-frequency, high resolution, full sky measurements of the anisotropy in
both temperature and polarization of the cosmic microwave
background radiation.
The ultimate data products of these missions --
multiple microwave sky maps, each of which will have to comprise
more than
As we have learned while working with the COBE mission products,
the digitised
sky map is an essential intermediate
stage in information processing between
the entry point of data acquisition by the
instruments -- very large time ordered data streams,
and the final stage of astrophysical analysis --
typically producing a
'few'
numerical values
of physical parameters of interest.
COBE-DMR sky maps (angular resolution of
As for future CMB maps, a whole sky CMB survey
at the angular resolution
of It appears to us that very careful attention ought to be given to devising high resolution CMB map structures which can maximally facilitate the forthcoming analyses of large size data sets, for the following reasons:
This document is an introduction to the properties of our proposed approach for a high resolution numerical representation of functions on the sphere -- the Hierarchical Equal Area and iso-Latitude Pixelization (HEALPix, see http://healpix.jpl.nasa.gov), and the associated multi-purpose computer software package. Eric Hivon 2010-06-18 |
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