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  Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Kitching, T., Amara, A., Gill, M., Harmeling, S., Heymans, C., Massey, R., et al. (2011). Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook. Annals of Applied Statistics, 5(3), 2231-2263. doi:10.1214/11-AOAS484.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BA20-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-B1BF-0
Genre: Journal Article

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 Creators:
Kitching, T, Author
Amara, A, Author
Gill, M, Author
Harmeling, S1, 2, Author              
Heymans, C, Author
Massey, R, Author
Rowe, B, Author
Schrabback, T, Author
Voigt, L, Author
Balan, S, Author
Bernstein, G, Author
Bethge, M2, 3, Author              
Bridle, S, Author
Courbin, F, Author
Gentile, M, Author
Heavens, A, Author
Hirsch, M1, 2, Author              
Hosseini, R2, 3, Author              
Kiessling, A, Author
Kirk, D, Author
Kuijken, K, AuthorMandelbaum, R, AuthorMoghaddam, B, AuthorNurbaeva, G, AuthorPaulin-Henriksson , S, AuthorRassat, A, AuthorRhodes, J, AuthorSchölkopf, B1, 2, Author              Shawe-Taylor, J, AuthorShmakova , M, AuthorTaylor, A, AuthorVelander, M, Authorvan Waerbeke, L, AuthorWitherick, D, AuthorWittman, D, Author more..
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 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 www.greatchallenges.info.

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 Dates: 2011-09
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1214/11-AOAS484
BibTex Citekey: KitchingAGHHMRSVBBBBCGHHHKKKMMNPRRSSSTVvWW2011
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Title: Annals of Applied Statistics
Source Genre: Journal
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Pages: - Volume / Issue: 5 (3) Sequence Number: - Start / End Page: 2231 - 2263 Identifier: -