HEALPix — a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
نویسنده
چکیده
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. Subject headings: cosmic microwave background — cosmology: observations — methods: statistical
منابع مشابه
2 Discretisation of Functions on the Sphere for High Resolu - tion Applications : a Motivation for HEALPix
HEALPix is a Hierarchical, Equal Area, and iso-Latitude Pixelisation of the sphere designed to support efficiently (1) local operations on the pixel set, (2) a hierarchical tree structure for multi-resolution applications, and (3) the global Fast Spherical Harmonic transform. HEALPix based mathematical software meets the challenges which future high resolution and large volume CMB data sets, in...
متن کاملA New 3D Shape Retrieval Method Using Spherical Healpix
Rapidly spreading 3D shape applications have led to the development of content-based 3D shape retrieval research. In this paper, we propose a new retrieval method using Spherical Healpix. Spherical Healpix is a new framework for efficient discretization and fast analysis or synthesis of functions defined on the sphere. We analyzed the construction process of this structure and defined a new Sph...
متن کاملA multi-resolution HEALPix data structure for spherically mapped point data
Data describing entities with locations that are points on a sphere are described as spherically mapped. Several data structures designed for spherically mapped data have been developed. One of them, known as Hierarchical Equal Area iso-Latitude Pixelization (HEALPix), partitions the sphere into twelve diamond-shaped equal-area base cells and then recursively subdivides each cell into four diam...
متن کاملS2LET: A code to perform fast wavelet analysis on the sphere
We describe S2LET, a fast and robust implementation of the scale-discretised wavelet transform on the sphere. Wavelets are constructed through a tiling of the harmonic line and can be used to probe spatially localised, scale-dependent features of signals on the sphere. The reconstruction of a signal from its wavelets coefficients is made exact here through the use of a sampling theorem on the s...
متن کاملTo Express Required CT-Scan Resolution for Porosity and Saturation Calculations in Terms of Average Grain Sizes
Despite advancements in specifying 3D internal microstructure of reservoir rocks, identifying some sensitive phenomenons are still problematic particularly due to image resolution limitation. Discretization study on such CT-scan data always has encountered with such conflicts that the original data do not fully describe the real porous media. As an alternative attractive approach, one can recon...
متن کامل