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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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 Creators:
Kitching, T., Author
Amara, A., Author
Gill, M., Author
Harmeling, S.1, Author           
Heymans, C., Author
Massey, R., Author
Rowe, B., Author
Schrabback, T., Author
Voigt, L., Author
Balan, S., Author
Bernstein, G., Author
Bethge, M.2, Author
Bridle, S., Author
Courbin, F., Author
Gentile, M., Author
Heavens, A., Author
Hirsch, M.1, Author           
Hosseini, R.2, Author
Kiessling, A., Author
Kirk, D., Author
Kuijken, K., AuthorMandelbaum, R., AuthorMoghaddam, B., AuthorNurbaeva, G., AuthorPaulin-Henriksson, S., AuthorRassat, A., AuthorRhodes, J., AuthorSchölkopf, B.1, Author           Shawe-Taylor, J., AuthorShmakova, M., AuthorTaylor, A., AuthorVelander, M., Authorvan Waerbeke, L., AuthorWitherick, D., AuthorWittman, D., Author more..
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2Max Planck Society, ou_persistent13              

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Free keywords: MPI für Intelligente Systeme; Abt. Schölkopf;
 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: 2011-09-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 596160
URI: http://www.kyb.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2011/GREAT10.pdf
Other: KitchingAGHHMRSVBBBBCGHHHKKKMMNPRRSSSTVvWW2011
DOI: 10.1214/11-AOAS484
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Title: Annals of Applied Statistics
Source Genre: Journal
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Pages: 32 Volume / Issue: 5 (3) Sequence Number: - Start / End Page: 2231 - 2263 Identifier: -