Sarah Bridle
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; Lagatutta, 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
Authors
John Shawe-Taylor
Adam Amara
Douglas Applegate
Sreekumar T. Balan
Joel Berge
Gary Bernstein
Hakon Dahle
Thomas Erben
Mandeep Gill
Alan Heavens
Catherine Heymans
F. William High
Henk Hoekstra
Mike Jarvis
Donnacha Kirk
Thomas Kitching
Jean-Paul Kneib
Konrad Kuijken
David Lagatutta
Rachel Mandelbaum
Professor Richard Massey r.j.massey@durham.ac.uk
Professor
Yannick Mellier
Baback Moghaddam
Yassir Moudden
Reiko Nakajima
Stephane Paulin-Henriksson
Sandrine Pires
Anais Rassat
Alexandre Refregier
Jason Rhodes
Tim Schrabback
Elisabetta Semboloni
Marina Shmakova
Ludovic Van Waerbeke
Dugan Witherick
Lisa Voigt
David Wittman
Abstract
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. Please visit www.great08challenge.info for the latest information.
Citation
Bridle, S., Shawe-Taylor, J., Amara, A., Applegate, D., Balan, S. T., Berge, J., …Wittman, D. (2009). Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing. Annals of Applied Statistics, 3(1), 6-37. https://doi.org/10.1214/08-aoas222
Journal Article Type | Article |
---|---|
Publication Date | Mar 1, 2009 |
Deposit Date | Mar 21, 2013 |
Publicly Available Date | May 6, 2015 |
Journal | Annals of Applied Statistics |
Print ISSN | 1932-6157 |
Electronic ISSN | 1941-7330 |
Publisher | Institute of Mathematical Statistics |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 1 |
Pages | 6-37 |
DOI | https://doi.org/10.1214/08-aoas222 |
Public URL | https://durham-repository.worktribe.com/output/1463804 |
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