190 citations · 250 across the 4 of their papers we have counts for
5 papers
PELICAN: deeP architecturE for the LIght Curve ANalysis
Johanna Pasquet, Jérôme Pasquet, Marc Chaumont +1
We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of light curves. It takes light curves as input, without any…
A CNN adapted to time series for the classification of Supernovae
Anthony Brunel, Johanna Pasquet, Jérôme Pasquet +4
Cosmologists are facing the problem of the analysis of a huge quantity of data when observing the sky. The methods used in cosmology are, for the most of them, relying on astrophys…
On a quadratic equation of state and a universe mildly bouncing above the Planck temperature
Joanna Berteaud, Johanna Pasquet, Thomas Schücker +1
A 1-parameter class of quadratic equations of state is confronted with the Hubble diagram of supernovae and Baryonic Acoustic Oscillations. The fit is found to be as good as the on…
Photometric redshifts from SDSS images using a Convolutional Neural Network
Johanna Pasquet, Emmanuel Bertin, Marie Treyer +2
We developed a Deep Convolutional Neural Network (CNN), used as a classifier, to estimate photometric redshifts and associated probability distribution functions (PDF) for galaxies…
Gravitational birefringence and an exotic formula for redshift
Christian Duval, Johanna Pasquet, Thomas Schucker +1
We compute the birefringence of light in curved Robertson-Walker spacetimes and propose an exotic formula for redshift based on the internal structure of the spinning photon. We th…