TY - JOUR
T1 - THE THIRD GRAVITATIONAL LENSING ACCURACY TESTING (GREAT3) CHALLENGE HANDBOOK
AU - Mandelbaum, Rachel
AU - Rowe, Barnaby
AU - Bosch, James
AU - Chang, Chihway
AU - Courbin, Frederic
AU - Gill, Mandeep
AU - Jarvis, Mike
AU - Kannawadi, Arun
AU - Kacprzak, Tomasz
AU - Lackner, Claire
AU - Leauthaud, Alexie
AU - Miyatake, Hironao
AU - Nakajima, Reiko
AU - Rhodes, Jason
AU - Simet, Melanie
AU - Zuntz, Joe
AU - Armstrong, Bob
AU - Bridle, Sarah
AU - Coupon, Jean
AU - Dietrich, Jorg P.
AU - Gentile, Marc
AU - Heymans, Catherine
AU - Jurling, Alden S.
AU - Kent, Stephen M.
AU - Kirkby, David
AU - Margala, Daniel
AU - Massey, Richard
AU - Melchior, Peter
AU - Peterson, John
AU - Roodman, Aaron
AU - Schrabback, Tim
PY - 2014/5
Y1 - 2014/5
N2 - 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 many novel aspects including realistically complex galaxy models based on high-resolution imaging from space; a spatially varying, physically motivated blurring kernel; and a 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.
AB - 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 many novel aspects including realistically complex galaxy models based on high-resolution imaging from space; a spatially varying, physically motivated blurring kernel; and a 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.
KW - gravitational lensing: weak
KW - methods: data analysis
KW - methods: statistical
KW - techniques: image processing
KW - HUBBLE-SPACE-TELESCOPE
KW - DIGITAL SKY SURVEY
KW - IMAGE-ANALYSIS COMPETITION
KW - COSMIC SHEAR MEASUREMENT
KW - POINT-SPREAD FUNCTION
KW - ATMOSPHERIC-TURBULENCE
KW - ADVANCED CAMERA
KW - DARK-MATTER
KW - SHAPE MEASUREMENTS
KW - POLAR SHAPELETS
U2 - 10.1088/0067-0049/212/1/5
DO - 10.1088/0067-0049/212/1/5
M3 - Article
SN - 0067-0049
VL - 212
JO - Astrophysical Journal Supplement
JF - Astrophysical Journal Supplement
IS - 1
M1 - 5
ER -