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          Institute: MPI für Intelligente Systeme (ehemals Max-Planck-Institut für Metallforschung)     Collection: Abt. Schölkopf (Empirical Inference)     Display Documents



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ID: 596160.0, MPI für Intelligente Systeme (ehemals Max-Planck-Institut für Metallforschung) / Abt. Schölkopf (Empirical Inference)
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
Authors:Kitching, T.; Amara, A.; Gill, M.; Harmeling, S.; Heymans, C.; Massey, R.; Rowe, B.; Schrabback, T.; Voigt, L.; Balan, S.; Bernstein, G.; Bethge, M.; Bridle, S.; Courbin, F.; Gentile, M.; Heavens, A.; Hirsch, M.; Hosseini, R.; Kiessling, A.; Kirk, D.; Kuijken, K.; Mandelbaum, R.; Moghaddam, B.; Nurbaeva, G.; Paulin-Henriksson, S.; Rassat, A.; Rhodes, J.; Schölkopf, B.; Shawe-Taylor, J.; Shmakova, M.; Taylor, A.; Velander, M.; van Waerbeke, L.; Witherick, D.; Wittman, D.
Date of Publication (YYYY-MM-DD):2011-09-01
Title of Journal:Annals of Applied Statistics
Volume:5
Issue / Number:3
Start Page:2231
End Page:2263
Review Status:not specified
Audience:Not Specified
Intended Educational Use:No
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Communicated by:Heide Klooz
Affiliations:MPI für Intelligente Systeme/Abt. Schölkopf
Identifiers:URL:http://www.kyb.tuebingen.mpg.de/fileadmin/user_upl...
LOCALID:KitchingAGHHMRSVBBBBCGHHHKKKMMNPRRSSSTVvWW2011
DOI:10.1214/11-AOAS484
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