Search Results for author: Florent Sureau

Found 4 papers, 1 papers with code

Shear measurement bias II: a fast machine learning calibration method

1 code implementation12 Jun 2020 Arnau Pujol, Jerome Bobin, Florent Sureau, Axel Guinot, Martin Kilbinger

The method estimates the individual shear responses of the objects from the combination of several measured properties on the images using supervised learning.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

Deep Learning for space-variant deconvolution in galaxy surveys

no code implementations1 Nov 2019 Florent Sureau, Alexis Lechat, Jean-Luc Starck

Deconvolution of large survey images with millions of galaxies requires to develop a new generation of methods which can take into account a space variant Point Spread Function (PSF) and have to be at the same time accurate and fast.

Image Reconstruction

A highly precise shear bias estimator independent of the measured shape noise

no code implementations27 Jun 2018 Arnau Pujol, Martin Kilbinger, Florent Sureau, Jerome Bobin

This shear response is the multiplicative shear bias for each image.

Cosmology and Nongalactic Astrophysics

Unsupervised feature-learning for galaxy SEDs with denoising autoencoders

no code implementations16 May 2017 Joana Frontera-Pons, Florent Sureau, Jerome Bobin, Emeric Le Floc'h

In addition, preliminary results illustrate that this enables the capturing of extra physically meaningful information, such as redshift dependence, galaxy mass evolution and variation over the specific star formation rate.

Instrumentation and Methods for Astrophysics Astrophysics of Galaxies

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