activity
20102014
most citedGREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology

167 citations · 392 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.CO2014★ 167 cited

GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology

Rachel Mandelbaum, Barnaby Rowe, Robert Armstrong +40

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 gravi…

astro-ph.IM2014★ 4 cited

Hopfield Neural Network deconvolution for weak lensing measurement

Guldariya Nurbaeva, Malte Tewes, Frederic Courbin +1

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 method…

astro-ph.CO2012

On the detection of point sources in CMB maps

H. G. Khachatryan, G. Nurbaeva, D. Pfenniger +1

We use the Wilkinson Microwave Anisotropy Probe 7-year data (WMAP7) to further probe point source detection technique in the sky maps of the cosmic microwave background (CMB) radia…

astro-ph.CO2012★ 162 cited

Image Analysis for Cosmology: Results from the GREAT10 Galaxy Challenge

T. D. Kitching, S. T. Balan, S. Bridle +25

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 st…

astro-ph.CO2011★ 3 cited

On the effect of image denoising on galaxy shape measurements

G. Nurbaeva, F. Courbin, M. Gentile +1

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 re…

astro-ph.CO2010★ 56 cited

Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Thomas Kitching, Sreekumar Balan, Gary Bernstein +32

GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the…