Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
Abstract
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 variable convolution kernel, pixelization and noise. This is the second in a series of challenges set to the astronomy, computer science and statistics communities, providing a structured environment in which methods can be improved and tested in preparation for planned astronomical surveys. GREAT10 extends upon previous work by introducing variable fields into the challenge. The "Galaxy Challenge" involves the precise measurement of galaxy shape distortions, quantified locally by two parameters called shear, in the presence of a known convolution kernel. Crucially, the convolution kernel and the simulated gravitational lensing shape distortion both now vary as a function of position within the images, as is the case for real data. In addition, we introduce the "Star Challenge" that concerns the reconstruction of a variable convolution kernel, similar to that in a typical astronomical observation. This document details the GREAT10 Challenge for potential participants. Continually updated information is also available from http://www.greatchallenges.info.
Cite
@article{arxiv.1009.0779,
title = {Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook},
author = {Thomas Kitching and Sreekumar Balan and Gary Bernstein and Matthias Bethge and Sarah Bridle and Frederic Courbin and Marc Gentile and Alan Heavens and Michael Hirsch and Reshad Hosseini and Alina Kiessling and Adam Amara and Donnacha Kirk and Konrad Kuijken and Rachel Mandelbaum and Baback Moghaddam and Guldariya Nurbaeva and Stephane Paulin-Henriksson and Anais Rassat and Jason Rhodes and Bernhard Schölkopf and John Shawe-Taylor and Mandeep Gill and Marina Shmakova and Andy Taylor and Malin Velander and Ludovic van Waerbeke and Dugan Witherick and David Wittman and Stefan Harmeling and Catherine Heymans and Richard Massey and Barnaby Rowe and Tim Schrabback and Lisa Voigt},
journal= {arXiv preprint arXiv:1009.0779},
year = {2011}
}
Comments
Published in at http://dx.doi.org/10.1214/11-AOAS484 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)