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Unrolling PALM for sparse semi-blind source separation
Mohammad Fahes, Christophe Kervazo, Jérôme Bobin +1
Sparse Blind Source Separation (BSS) has become a well established tool for a wide range of applications - for instance, in astrophysics and remote sensing. Classical sparse BSS me…
Representation learning for automated spectroscopic redshift estimation
Joana Frontera-Pons, Florent Sureau, Bruno Moraes +2
Determining the radial positions of galaxies up to a high accuracy depends on the correct identification of salient features in their spectra. Classical techniques for spectroscopi…
French SKA White Book - The French Community towards the Square Kilometre Array
F. Acero, J. -T. Acquaviva, R. Adam +175
The "Square Kilometre Array" (SKA) is a large international radio telescope project characterised, as suggested by its name, by a total collecting area of approximately one square…
Unsupervised feature-learning for galaxy SEDs with denoising autoencoders
Joana Frontera-Pons, Florent Sureau, Jerome Bobin +1
With the increasing number of deep multi-wavelength galaxy surveys, the spectral energy distribution (SED) of galaxies has become an invaluable tool for studying the formation of t…
Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging
Julien N. Girard, Hugh Garsden, Jean Luc Starck +5
Compressed sensing theory is slowly making its way to solve more and more astronomical inverse problems. We address here the application of sparse representations, convex optimizat…
Cosmic Dawn and Epoch of Reionization Foreground Removal with the SKA
Emma Chapman, Anna Bonaldi, Geraint Harker +8
The exceptional sensitivity of the SKA will allow observations of the Cosmic Dawn and Epoch of Reionization (CD/EoR) in unprecedented detail, both spectrally and spatially. This we…