Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes

Authors:
Vincent Mazet;Christophe Collet;Bernd Vollmer
Affiliations:
LSIIT (UMR 7005 University of Strasbourg---CNRS), Illkirch Cedex, France 67412;LSIIT (UMR 7005 University of Strasbourg---CNRS), Illkirch Cedex, France 67412;Observatoire Astronomique de Strasbourg (UMR 7550 University of Strasbourg---CNRS), Strasbourg, France 67000
Venue:
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Year:
2009

Citing 3
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Multiband segmentation of a spectroscopic line data cube: application to the HI data cube of the spiral galaxy NGC 4254

EURASIP Journal on Applied Signal Processing

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Abstract

The natural output of imaging spectroscopy in astronomy is a 3D data cube with two spatial and one frequency axis. The spectrum of each image pixel consists of an emission line which is Doppler-shifted by gas motions along the line of sight. These data are essential to understand the gas distribution and kinematics of the astronomical object. We propose a two-step method to extract coherent kinematic structures from the data cube. First, the spectra are decomposed into a sum of Gaussians using a Bayesian method to obtain an estimation of spectral lines. Second, we aim at tracking the estimated lines to get an estimation of the structures in the cube. The performance of the approach is evaluated on a real radio-astronomical observation.