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  Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

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. (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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資料種別: 学術論文

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Kitching, T, 著者
Amara A, Gill M, Harmeling, S1, 著者           
Heymans C, Massey R, Rowe B, Schrabback T, Voigt L, Balan S, Bernstein G, Bethge, M2, 著者           
Bridle S, Courbin F, Gentile M, Heavens A, Hirsch, M1, 著者           
Hosseini, R2, 著者           
Kiessling A, Kirk D, Kuijken K, Mandelbaum R, Moghaddam B, Nurbaeva G, Paulin-Henriksson S, Rassat A, Rhodes J, Schölkopf, B1, 著者           
Shawe-Taylor J, Shmakova M, Taylor A, Velander M, van Waerbeke L, Witherick, D, 著者
Wittman, D, 著者
所属:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 要旨: 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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 日付: 2011-09
 出版の状態: 出版
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 識別子(DOI, ISBNなど): URI: http://projecteuclid.org/euclid.aoas/1318514302
DOI: 10.1214/11-AOAS484
BibTex参照ID: KitchingAGHHMRSVBBBBCGHHHKKKMMNPRRSSSTVvWW2011
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出版物名: Annals of Applied Statistics
種別: 学術雑誌
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出版社, 出版地: -
ページ: - 巻号: 5 (3) 通巻号: - 開始・終了ページ: 2231 - 2263 識別子(ISBN, ISSN, DOIなど): -