Cosmological Constraints

Cosmological constraints from CFHTLenS

The following publications have been obtained with contribution from CosmoStat:

1. Cosmological model selection using the Bayesian evidence (Kilbinger et al. 2013)
2. Constraints on dark energy and intrinsic alignement from shear tomography (Heymans et al. 2013)
3. Photometric redshift qualifications and shear tomography (Benjamin et al. 2013)
4. Modified gravity constraints (Simpson et al. 2013)
5. Dark energy from 3D lensing (Kitching et al. 2014)
6. Constraints from second- and third-order shear statistics (Fu, Kilbinger et al. 2014; Simon et al. 2015)

Sparse representation

CosmoStat publications have shown that

1. sparse representation could help to discriminate cosmological models (Pires, Starck et al, MNRAS, 2009);
2. higher-order statistics should be performed on the wavelet decomposition of the convergence map rather than on the aperture mass map (Leonard, Pires, Starck, MNRAS, 2012);
3. that the best cosmological constraint are obtained using a wavelet peak counting statistic on the sparse denoised convergence map (Pires, Starck, et al, MNRAS, 2012).