Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 2009 | Submitted
Journal Article Open

Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

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 eects of pixelisation, convolution and noise. The worldwide gravitational lensing community has made signicant 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.

Additional Information

2010 © Institute of Mathematical Statistics. This project was born from the Shear TEsting Programme and a clinic at the University College London (UCL) Centre for Computational Statistics and Machine Learning (CSML). The GREAT08 Challenge is a Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) Challenge. PASCAL is a European Network of Excellence under Framework 6. We thank John Bridle, Michiel van de Panne, Michele Sebag, Antony Lewis, Christoph Lampert, Bernhard Schoelkopf, Chris Williams, David MacKay, Maneesh Sahani, David Barber and Nick Kaiser for helpful discussions. SLB acknowledges support from the Royal Society in the form of a University Research Fellowship. CH acknowledges the support of a European Commission Programme 6th framework Marie Curie Outgoing International Fellowship under contract MOIF-CT-2006- 21891. The work was supported in part by the Jet Propulsion Laboratory, which is run by Caltech under a contract from NASA.

Attached Files

Submitted - Bridle2009p6532Ann_Appl_Stat.pdf

Files

Bridle2009p6532Ann_Appl_Stat.pdf
Files (678.9 kB)
Name Size Download all
md5:b45ae7cf5800427ffb468b75fb44d371
678.9 kB Preview Download

Additional details

Created:
August 21, 2023
Modified:
October 19, 2023