The Third Gravitational Lensing Accuracy Testing (GREAT3) Challenge Handbook
Abstract
The GRavitational lEnsing Accuracy Testing 3 (GREAT3) challenge is the third in a series of image analysis challenges, with a goal of testing and facilitating the development of methods for analyzing astronomical images that will be used to measure weak gravitational lensing. This measurement requires extremely precise estimation of very small galaxy shape distortions, in the presence of far larger intrinsic galaxy shapes and distortions due to the blurring kernel caused by the atmosphere, telescope optics, and instrumental effects. The GREAT3 challenge is posed to the astronomy, machine learning, and statistics communities, and includes tests of three specific effects that are of immediate relevance to upcoming weak lensing surveys, two of which have never been tested in a community challenge before. These effects include realistically complex galaxy models based on high-resolution imaging from space; spatially varying, physically-motivated blurring kernel; and combination of multiple different exposures. To facilitate entry by people new to the field, and for use as a diagnostic tool, the simulation software for the challenge is publicly available, though the exact parameters used for the challenge are blinded. Sample scripts to analyze the challenge data using existing methods will also be provided. See http://great3challenge.info and http://great3.projects.phys.ucl.ac.uk/leaderboard/ for more information.
Cite
@article{arxiv.1308.4982,
title = {The Third Gravitational Lensing Accuracy Testing (GREAT3) Challenge Handbook},
author = {Rachel Mandelbaum and Barnaby Rowe and James Bosch and Chihway Chang and Frederic Courbin and Mandeep Gill and Mike Jarvis and Arun Kannawadi and Tomasz Kacprzak and Claire Lackner and Alexie Leauthaud and Hironao Miyatake and Reiko Nakajima and Jason Rhodes and Melanie Simet and Joe Zuntz and Bob Armstrong and Sarah Bridle and Jean Coupon and Jörg P. Dietrich and Marc Gentile and Catherine Heymans and Alden S. Jurling and Stephen M. Kent and David Kirkby and Daniel Margala and Richard Massey and Peter Melchior and John Peterson and Aaron Roodman and Tim Schrabback},
journal= {arXiv preprint arXiv:1308.4982},
year = {2023}
}
Comments
30 pages, 13 figures, published in MNRAS. URLs in abstract no longer work, but all data are available for download as described in https://github.com/barnabytprowe/great3-public (v4 only has updates to comments)