2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys

Details 2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys 2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys

2011-12-16

arxiv.org/abs/1112.3807v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

8 pages, 7 figures, 1 table, accepted for publication in PASA Special Issue on Source Finding and Visualization

Scientific paper

Today, image denoising by thresholding of wavelet coefficients is a commonly used tool for 2D image enhancement. Since the data product of spectroscopic imaging surveys has two spatial and one spectral dimension, the techniques for denoising have to be adapted to this change in dimensionality. In this paper we will review the basic method of denoising data by thresholding wavelet coefficients and implement a 2D-1D wavelet decomposition to obtain an efficient way of denoising spectroscopic data cubes. We conduct different simulations to evaluate the usefulness of the algorithm as part of a source finding pipeline.

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