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Home List of Titles Handbook for the GREAT08 challenge: an image analysis competition for cosmological lensing
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/225472
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- Handbook for the GREAT08 challenge: an image analysis competition for cosmological lensing
- Bridle, Sarah; Shawe-Taylor, John; Amara, Adam; Applegate, Douglas; Balan, Sreekumar T.; Berge, Joel; Bernstein, Gary; Dahle, Hakon; Erben, Thomas; Gill, Mandeep; Heavens, Alan; Heymans, Catherine; High, F. William; Hoekstra, Henk; Jarvis, Mike; Kirk, Donnacha; Kitching, Thomas; Kneib, Jean-Paul; Kuijken, Konrad; Lagattuta, David; Mandelbaum, Rachel; Massey, Richard; Mellier, Yannick; Moghaddam, Baback; Moudden, Yassir; Nakajima, Reiko; Paulin-Henriksson, Stephane; Pires, Sandrine; Rassat, Anais; Refregier, Alexandre; Rhodes, Jason; Schrabback, Tim; Semboloni, Elisabetta; Shmakova, Marina; van Waerbeke, Ludovic; Witherick, Dugan; Voigt, Lisa; Wittman, David
- The GRavitational lEnsing Accuracy Testing 2008 (GREAT08) Challenge focuses on a problem that is of crucial importance for future observations in cosmology. The shapes of distant galaxies can be used to determine the properties of dark energy and the nature of gravity, because light from those galaxies is bent by gravity from the intervening dark matter. The observed galaxy images appear distorted, although only slightly, and their shapes must be precisely disentangled from the effects of pixelisation, convolution and noise. The worldwide gravitational lensing community has made significant progress in techniques to measure these distortions via the Shear TEsting Program (STEP). Via STEP, we have run challenges within our own community, and come to recognise that this particular image analysis problem is ideally matched to experts in statistical inference, inverse problems and computational learning. Thus, in order to continue the progress seen in recent years, we are seeking an infusion of new ideas from these communities. This document details the GREAT08 Challenge for potential participants.
- Publication type
- Journal article
- Annals of Applied Statistics, Vol. 3, no. 1 (Mar 2009), pp. 6-37
- Publication year
- FOR Code(s)
- 0104 Statistics
- Cosmology; Gravitational lensing; GRavitational lEnsing Accuracy Testing 2008 challenge; GREAT08 challenge
- Institute of Mathematical Statistics
- Publisher URL
- Copyright © Institute of Mathematical Statistics, 2009. The published version is reproduced in accordance with the copyright policy of the publisher.
- Additional information
- David Lagattuta is incorrectly named on the paper as 'David Lagatutta'. This error has been corrected in this record to facilitate ease of its discovery.
- Full text
- Peer reviewed