Person
Guldariya Nurbaeva
This person is no longer with EPFL
Related publications (5)
Hopfield neural network deconvolution for weak lensing measurement
Frédéric Courbin, Georges Meylan, Malte Tewes, Guldariya Nurbaeva
Weak gravitational lensing has the potential to place tight constraints on the equation of the state of dark energy. However, this will only be possible if shear measurement methods can reach the required level of accuracy. We present a new method for meas ...
EDP Sciences2015GREAT3 results - I. Systematic errors in shear estimation and the impact of real galaxy morphology
Frédéric Courbin, Jean-Luc Starck, Thibault Adrien Kuntzer, Malte Tewes, Huanyuan Shan, Marc Gentile, Guldariya Nurbaeva, Jun Zhang
We present first results from the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, the third in a sequence of challenges for testing methods of inferring weak gravitational lensing shear distortions from simulated galaxy images. GREAT3 was ...
Oxford University Press2015Image analysis for cosmology: results from the GREAT10 Galaxy Challenge
Frédéric Courbin, Malte Tewes, Marc Gentile, Nicolas Cantale, Guldariya Nurbaeva, Richard Massey
In this paper, we present results from the weak-lensing shape measurement GRavitational lEnsing Accuracy Testing 2010 (GREAT10) Galaxy Challenge. This marks an order of magnitude step change in the level of scrutiny employed in weak-lensing shape measureme ...
Blackwell Publishing Ltd, Oxford2012On the effect of image denoising on galaxy shape measurements
Frédéric Courbin, Georges Meylan, Marc Gentile, Guldariya Nurbaeva
Weak gravitational lensing is a very sensitive way of measuring cosmological parameters, including dark energy, and of testing current theories of gravitation. In practice, this requires exquisite measurement of the shapes of billions of galaxies over larg ...
2011Gravitational Lensing Accuracy Testing 2010 (Great10) Challenge Handbook
Frédéric Courbin, Matthias Bethge, Anaïs Marie Rassat, Marc Gentile, Guldariya Nurbaeva, Richard Massey, Michael Hirsch
GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the challenge is to measure varying image distortions in the presence of a varia ...
2011