2013/08/31 by Boris Leistedt, Hiranya V. Peiris, Jason D. McEwen
Computer Science · Mathematics · Physics and Astronomy · #Astrophysics #Fourier transform #Galaxies: Formation, Evolution, Phenomena #Galaxy #Image and Signal Denoising Methods #Laguerre polynomials #Physics #Quantum mechanics #Radio Astronomy Observations and Technology #Spherical harmonics #Universe #astro-ph.CO #astro-ph.IM #cs.IT #math.IT
paper · pdf · doi:10.1117/12.2022869
published as Proc. SPIE 8858, Wavelets and Sparsity XV, 88580J (2013) · Proceedings of Wavelets and Sparsity XV, SPIE Optics and Photonics 2013
arxiv created 2013/09/10 · openalex publication_date 2013/09/26 · arxiv updated 2013/12/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Pressing questions in cosmology such as the nature of dark matter and dark energy can be addressed using large galaxy surveys, which measure the positions, properties and redshifts of galaxies in order to map the large-scale structure of the Universe. We review the Fourier-Laguerre transform, a novel transform in 3D spherical coordinates which is based on spherical harmonics combined with damped Laguerre polynomials and appropriate for analysing galaxy surveys. We also recall the construction of aglets, 3D wavelets obtained through a tiling of the Fourier-Laguerre space, which can be used to extract scale-dependent, spatially localised features on the ball. We exploit a sampling theorem to obtain exact Fourier-Laguerre and aglet transforms, such that band-limited signals can analysed and reconstructed at oating point accuracy on a nite number of voxels on the ball. We present a potential application of the aglet transform for nding voids in galaxy surveys and studying the large-scale structure of the Universe.