HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING

Sarah Bridle; 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; Richard Massey; 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

doi:10.1214/08-AOAS222

HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING

Sarah Bridle, 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 LagatuttaRachel Mandelbaum, Richard Massey, 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

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	637
Number of pages	32
Journal	Annals of Applied Statistics
Volume	3
Issue number	1
DOIs	https://doi.org/10.1214/08-AOAS222
Publication status	Published - Mar 2009

Keywords / Materials (for Non-textual outputs)

Inference
inverse problems
astronomy
WEAK GRAVITATIONAL SHEAR
LARGE-SCALE STRUCTURE
NONLINEAR CLUSTER INVERSION
GALAXY SHAPE MEASUREMENT
DARK-MATTER
SYSTEMATIC-ERRORS
POLAR SHAPELETS
COSMIC SHEAR
DISTORTIONS
CALIBRATION

Access to Document

10.1214/08-AOAS222

Cite this

Bridle, S., Shawe-Taylor, J., Amara, A., Applegate, D., Balan, S. T., Berge, J., Bernstein, G., Dahle, H., Erben, T., Gill, M., Heavens, A., Heymans, C., High, F. W., Hoekstra, H., Jarvis, M., Kirk, D., Kitching, T., Kneib, J.-P., Kuijken, K., ... Wittman, D. (2009). HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING. Annals of Applied Statistics, 3(1), 637. https://doi.org/10.1214/08-AOAS222

@article{b6e9719e82024472add1e61dd1eac5af,

title = "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 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.",

keywords = "Inference, inverse problems, astronomy, WEAK GRAVITATIONAL SHEAR, LARGE-SCALE STRUCTURE, NONLINEAR CLUSTER INVERSION, GALAXY SHAPE MEASUREMENT, DARK-MATTER, SYSTEMATIC-ERRORS, POLAR SHAPELETS, COSMIC SHEAR, DISTORTIONS, CALIBRATION",

author = "Sarah Bridle and John Shawe-Taylor and Adam Amara and Douglas Applegate and Balan, \{Sreekumar T.\} and Joel Berge and Gary Bernstein and Hakon Dahle and Thomas Erben and Mandeep Gill and Alan Heavens and Catherine Heymans and High, \{F. William\} and Henk Hoekstra and Mike Jarvis and Donnacha Kirk and Thomas Kitching and Jean-Paul Kneib and Konrad Kuijken and David Lagatutta and Rachel Mandelbaum and Richard Massey and Yannick Mellier and Baback Moghaddam and Yassir Moudden and Reiko Nakajima and Stephane Paulin-Henriksson and Sandrine Pires and Anais Rassat and Alexandre Refregier and Jason Rhodes and Tim Schrabback and Elisabetta Semboloni and Marina Shmakova and \{Van Waerbeke\}, Ludovic and Dugan Witherick and Lisa Voigt and David Wittman",

year = "2009",

month = mar,

doi = "10.1214/08-AOAS222",

language = "English",

volume = "3",

pages = "637",

journal = "Annals of Applied Statistics",

issn = "1932-6157",

publisher = "Institute of Mathematical Statistics",

number = "1",

}

Bridle, S, Shawe-Taylor, J, Amara, A, Applegate, D, Balan, ST, Berge, J, Bernstein, G, Dahle, H, Erben, T, Gill, M, Heavens, A, Heymans, C, High, FW, Hoekstra, H, Jarvis, M, Kirk, D, Kitching, T, Kneib, J-P, Kuijken, K, Lagatutta, D, Mandelbaum, R, Massey, R, Mellier, Y, Moghaddam, B, Moudden, Y, Nakajima, R, Paulin-Henriksson, S, Pires, S, Rassat, A, Refregier, A, Rhodes, J, Schrabback, T, Semboloni, E, Shmakova, M, Van Waerbeke, L, Witherick, D, Voigt, L & Wittman, D 2009, 'HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING', Annals of Applied Statistics, vol. 3, no. 1, pp. 637. https://doi.org/10.1214/08-AOAS222

TY - JOUR

T1 - HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING

AU - Bridle, Sarah

AU - Shawe-Taylor, John

AU - Amara, Adam

AU - Applegate, Douglas

AU - Balan, Sreekumar T.

AU - Berge, Joel

AU - Bernstein, Gary

AU - Dahle, Hakon

AU - Erben, Thomas

AU - Gill, Mandeep

AU - Heavens, Alan

AU - Heymans, Catherine

AU - High, F. William

AU - Hoekstra, Henk

AU - Jarvis, Mike

AU - Kirk, Donnacha

AU - Kitching, Thomas

AU - Kneib, Jean-Paul

AU - Kuijken, Konrad

AU - Lagatutta, David

AU - Mandelbaum, Rachel

AU - Massey, Richard

AU - Mellier, Yannick

AU - Moghaddam, Baback

AU - Moudden, Yassir

AU - Nakajima, Reiko

AU - Paulin-Henriksson, Stephane

AU - Pires, Sandrine

AU - Rassat, Anais

AU - Refregier, Alexandre

AU - Rhodes, Jason

AU - Schrabback, Tim

AU - Semboloni, Elisabetta

AU - Shmakova, Marina

AU - Van Waerbeke, Ludovic

AU - Witherick, Dugan

AU - Voigt, Lisa

AU - Wittman, David

PY - 2009/3

Y1 - 2009/3

N2 - 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.

AB - 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.

KW - Inference

KW - inverse problems

KW - astronomy

KW - WEAK GRAVITATIONAL SHEAR

KW - LARGE-SCALE STRUCTURE

KW - NONLINEAR CLUSTER INVERSION

KW - GALAXY SHAPE MEASUREMENT

KW - DARK-MATTER

KW - SYSTEMATIC-ERRORS

KW - POLAR SHAPELETS

KW - COSMIC SHEAR

KW - DISTORTIONS

KW - CALIBRATION

UR - https://www.scopus.com/pages/publications/84865395345

U2 - 10.1214/08-AOAS222

DO - 10.1214/08-AOAS222

M3 - Article

SN - 1932-6157

VL - 3

SP - 637

JO - Annals of Applied Statistics

JF - Annals of Applied Statistics

IS - 1

ER -

HANDBOOK FOR THE GREAT08 CHALLENGE: AN IMAGE ANALYSIS COMPETITION FOR COSMOLOGICAL LENSING

Abstract

Keywords / Materials (for Non-textual outputs)

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