New paper accepted in A&A

The paper “Gap interpolation by inpainting methods : Application to Ground and Space-based Asteroseismic data” has been accepted for publication in A&A. This paper is describing the software K-inpainting.

The software K-inpainting has been developed to handle the problem of missing data in the asteroseismic signal of Kepler. This technique, based on a sparsity prior, enables to judiciously fill-in the gaps in the data, preserving the asteroseismic signal, as far as possible.

More recently, it has been implemented in the CoRoT pipeline to process the data from missing data.

The K-inapinting software is available here

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Power Density Spectrum for a duty cycle of 83% computed using an FFT on the inpainted time series.

Review: Cosmology from cosmic shear observations

Mean and 68% error bars for the parameter  $\sigma_8 (\Omega_{\rm m}/0.3)^\alpha$, for various cosmic shear observations, plotted as function of their publication date (first arXiv submission). Data points are second-order statistics (circles), third-order (diamonds), 3D lensing (pentagons), galaxy-galaxy lensing (+ galaxy clustering; triangle), and CMB (squares).
Mean and 68% error bars for the parameter $$\sigma_8 (\Omega_{\rm m}/0.3)^\alpha$$, for various cosmic shear observations, plotted as function of their publication date (first arXiv submission). Data points are second-order statistics (circles), third-order (diamonds), 3D lensing (pentagons), galaxy-galaxy lensing (+ galaxy clustering; triangle), and CMB (squares).

A review on cosmology from cosmic shear observations has been submitted to ROPP, and has the arXiv reference arXiv:1411.0115. Comments are very welcome! Check also the accompanying web page for more information, updates, and errata.