Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis

The paper analyzes a spectral approach to reconstructing a scalar field on the sphere, given only information about a masked version of the field, together with precise information about the (smooth) mask. The theory is developed for a general mask and later specialized to the case of an axially symmetric mask. Numerical experiments are given for the case of an axial mask motivated by the cosmic microwave background, assuming that the underlying field is a realization of a Gaussian random field with an artificial angular power spectrum of moderate degree (' < 100). The recovery is highly satisfactory in the absence of noise and even in the presence of moderate noise.

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Publication Details

Journal
SIAM Journal on Imaging Sciences
Published
2024-09-05
DOI
https://doi.org/10.1137/23m1603157
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis

Quôc Thông Lê Gia, Robert S. Womersley, Ian H. Sloan, Jan Hamann
SIAM Journal on Imaging Sciences
Numerical methods in inverse problems
article

Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis

Quôc Thông Lê Gia, Robert S. Womersley, Ian H. Sloan, Jan Hamann
article en

Abstract

The paper analyzes a spectral approach to reconstructing a scalar field on the sphere, given only information about a masked version of the field, together with precise information about the (smooth) mask. The theory is developed for a general mask and later specialized to the case of an axially symmetric mask. Numerical experiments are given for the case of an axial mask motivated by the cosmic microwave background, assuming that the underlying field is a realization of a Gaussian random field with an artificial angular power spectrum of moderate degree (' < 100). The recovery is highly satisfactory in the absence of noise and even in the presence of moderate noise.

SIAM Journal on Imaging SciencesVol. 17(3)
UNSW Sydney (AU)
University of New South Wales, Australian Research Council
Openalex Percentile: Top 74%
Numerical methods in inverse problems
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