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

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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.

Original language	English (US)
Pages (from-to)	6-37
Number of pages	32
Journal	Annals of Applied Statistics
Volume	3
Issue number	1
DOIs	https://doi.org/10.1214/08-AOAS222
State	Published - Mar 2009
Externally published	Yes

Keywords

Astronomy
Inference
Inverse problems

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10.1214/08-AOAS222

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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., William High, F., 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), 6-37. https://doi.org/10.1214/08-AOAS222

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, William High, F, Hoekstra, H, Jarvis, M, Kirk, D, Kitching, T, Kneib, JP, 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. 6-37. https://doi.org/10.1214/08-AOAS222

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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.",

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AU - Berge, Joel

AU - Bernstein, Gary

AU - Dahle, Hakon

AU - Erben, Thomas

AU - Gill, Mandeep

AU - Heavens, Alan

AU - Heymans, Catherine

AU - William High, F.

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

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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.

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.

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

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