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引力透镜精度测试2010(GREAT10)挑战手册

Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook

Thomas Kitching, Sreekumar Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frederic Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini, … 展开作者

Thomas Kitching, Sreekumar Balan, Gary Bernstein, Matthias Bethge, Sarah Bridle, Frederic Courbin, Marc Gentile, Alan Heavens, Michael Hirsch, Reshad Hosseini, Alina Kiessling, Adam Amara, Donnacha Kirk, Konrad Kuijken, Rachel Mandelbaum, Baback Moghaddam, Guldariya Nurbaeva, Stephane Paulin-Henriksson, Anais Rassat, Jason Rhodes, Bernhard Schölkopf, John Shawe-Taylor, Mandeep Gill, Marina Shmakova, Andy Taylor, Malin Velander, Ludovic van Waerbeke, Dugan Witherick, David Wittman, Stefan Harmeling, Catherine Heymans, Richard Massey, Barnaby Rowe, Tim Schrabback, Lisa Voigt

摘要:

2010年引力透镜精度测试(GREAT 10)是一项公共图像分析挑战,旨在开发分析天文图像的算法。具体来说,挑战是在存在可变卷积核、像素化和噪声的情况下测量不同的图像失真。这是天文学、计算机科学和统计界面临的一系列挑战中的第二个,它提供了一个结构化的环境,可以在其中改进和测试各种方法,为计划中的天文学调查做准备。GREAT10通过在挑战中引入变量字段来扩展以前的工作。“银河挑战”涉及精确测量星系形状扭曲,在已知卷积核的存在下,通过两个称为剪切的参数进行局部量化。至关重要的是,卷积核和模拟的引力透镜形状失真现在都作为图像内位置的函数而变化,就像真实数据的情况一样。此外,我们还介绍了“明星挑战”,涉及到一个可变的卷积核的重建,类似于在一个典型的天文观测。本文件详细介绍了潜在参与者的GREAT 10挑战。不断更新的信息也可从http://www.greatchallenges.info获得。

英文摘要:

GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the challenge is to measure varying image distortions in the presence of a variable convolution kernel, pixelization and noise. This is the second in a series of challenges set to the astronomy, computer science and statistics communities, providing a structured environment in which methods can be improved and tested in preparation for planned astronomical surveys. GREAT10 extends upon previous work by introducing variable fields into the challenge. The "Galaxy Challenge" involves the precise measurement of galaxy shape distortions, quantified locally by two parameters called shear, in the presence of a known convolution kernel. Crucially, the convolution kernel and the simulated gravitational lensing shape distortion both now vary as a function of position within the images, as is the case for real data. In addition, we introduce the "Star Challenge" that concerns the reconstruction of a variable convolution kernel, similar to that in a typical astronomical observation. This document details the GREAT10 Challenge for potential participants. Continually updated information is also available from http://www.greatchallenges.info.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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