Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing
Abstract
The GRavitational lEnsing Accuracy Testing 2008 (GREAT08) Challenge focuses on a problem that is of crucial importance for future observations in cosmology. The shapes of distant galaxies can be used to determine the properties of dark energy and the nature of gravity, because light from those galaxies is bent by gravity from the intervening dark matter. The observed galaxy images appear distorted, although only slightly, and their shapes must be precisely disentangled from the effects of pixelisation, convolution and noise. The worldwide gravitational lensing community has made significant progress in techniques to measure these distortions via the Shear TEsting Program (STEP). Via STEP, we have run challenges within our own community, and come to recognise that this particular image analysis problem is ideally matched to experts in statistical inference, inverse problems and computational learning. Thus, in order to continue the progress seen in recent years, we are seeking an infusion of new ideas from these communities. This document details the GREAT08 Challenge for potential participants. Please visit http://www.great08challenge.info for the latest information.
Keywords
Cite
@article{arxiv.0802.1214,
title = {Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing},
author = {Sarah Bridle and John Shawe-Taylor and Adam Amara and Douglas Applegate and Sreekumar T. Balan and Joel Berge and Gary Bernstein and Hakon Dahle and Thomas Erben and Mandeep Gill and Alan Heavens and Catherine Heymans and F. William High and Henk Hoekstra and Mike Jarvis and Donnacha Kirk and Thomas Kitching and Jean-Paul Kneib and Konrad Kuijken and David Lagatutta and Rachel Mandelbaum and Richard Massey and Yannick Mellier and Baback Moghaddam and Yassir Moudden and Reiko Nakajima and Stephane Paulin-Henriksson and Sandrine Pires and Anais Rassat and Alexandre Refregier and Jason Rhodes and Tim Schrabback and Elisabetta Semboloni and Marina Shmakova and Ludovic van Waerbeke and Dugan Witherick and Lisa Voigt and David Wittman},
journal= {arXiv preprint arXiv:0802.1214},
year = {2009}
}
Comments
Published in at http://dx.doi.org/10.1214/08-AOAS222 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)