Journal Article

GRAVITATIONAL LENSING ACCURACY TESTING 2010 (GREAT10) CHALLENGE HANDBOOK

Massey, Richard, Mandelbaum, Rachel, Kuijken, Konrad, Kitching, Thomas, Shmakova, Marina, Heavens, Alan, Kiessling, Alina, Bethge, Matthias, Amara, Adam, Voigt, Lisa, Kirk, Donnacha, Nurbaeva, Guldariya, Courbin, Frederic, Schölkopf, Bernhard, Schrabback, Tim, Balan, Sreekumar, Paulin-Henriksson, Stephane, Rassat, Anais, Gill, Mandeep, Moghaddam, Baback, Gentile, Marc, Harmeling, Stefan, Heymans, Catherine, Bridle, Sarah, van Waerbeke, Ludovic, Shawe-Taylor, John, Wittman, David, Rowe, Barnaby, Hirsch, Michael, Bernstein, Gary, Hosseini, Reshad, Velander, Malin, Taylor, Andy, Witherick, Dugan, Rhodes, Jason

2011

Overview

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 www.greatchallenges.info.

• Publisher: Institute of Mathematical Statistics,The Institute of Mathematical Statistics
• Subject: Astronomical cosmology / Astronomical objects / cosmology / Ellipticity / Exact sciences and technology / Galaxies / General topics / Gravitational lensing / Handbooks / imaging processing / Inference from stochastic processes; time series analysis / Mathematics / Milky Way Galaxy / Multivariate analysis / Numerical analysis / Numerical analysis. Scientific computation / Numerical approximation / Probability and statistics / Q factors / Sciences and techniques of general use / Stars / Statistical inference / Statistics / Telescopes