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HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere

K. M. GórskiJPL/Caltech, MS 169-327, 4800 Oak Grove Drive, Pasadena, CA 91109E. HivonIPAC, MS 100-22, Caltech, 1200 East California Boulevard, Pasadena, CA 91125A. J. BandayMax-Planck-Institut für Astrophysik, Karl-Schwarzschild-Strasse 1, Postfach 1317, D-85741 Garching bei München, GermanyB. D. WandeltDepartment of Astronomy, University of Illinois, 1002 West Green Street, Urbana, IL 61801F. K. HansenInstitute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo, NorwayM. ReineckeMax-Planck-Institut für Astrophysik, Karl-Schwarzschild-Strasse 1, Postfach 1317, D-85741 Garching bei München, GermanyMatthias BartelmannITA, Universität Heidelberg, Tiergartenstrasse 15, D-69121 Heidelberg, Germany
2005en
ABI

Аннотация

HEALPix -- the Hierarchical Equal Area iso-Latitude Pixelization -- is a versatile data structure with an associated library of computational algorithms and visualization software that supports fast scientific applications executable directly on very large volumes of astronomical data and large area surveys in the form of discretized spherical maps. Originally developed to address the data processing and analysis needs of the present generation of cosmic microwave background (CMB) experiments (e.g. BOOMERanG, WMAP), HEALPix can be expanded to meet many of the profound challenges that will arise in confrontation with the observational output of future missions and experiments, including e.g. Planck, Herschel, SAFIR, and the Beyond Einstein CMB polarization probe. In this paper we consider the requirements and constraints to be met in order to implement a sufficient framework for the efficient discretization and fast analysis/synthesis of functions defined on the sphere, and summarise how they are satisfied by HEALPix.

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