van Waerbeke, L;
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Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing.
MON NOT R ASTRON SOC
2044 - 2061.
We present the results of the Gravitational LEnsing Accuracy Testing 2008 (GREAT08) Challenge, a blind analysis challenge to infer weak gravitational lensing shear distortions from images. The primary goal was to stimulate new ideas by presenting the problem to researchers outside the shear measurement community. Six GREAT08 Team methods were presented at the launch of the Challenge and five additional groups submitted results during the 6-month competition. Participants analyzed 30 million simulated galaxies with a range in signal-to-noise ratio, point spread function ellipticity, galaxy size and galaxy type. The large quantity of simulations allowed shear measurement methods to be assessed at a level of accuracy suitable for currently planned future cosmic shear observations for the first time. Different methods perform well in different parts of simulation parameter space and come close to the target level of accuracy in several of these. A number of fresh ideas have emerged as a result of the Challenge including a re-examination of the process of combining information from different galaxies, which reduces the dependence on realistic galaxy modelling. The image simulations will become increasingly sophisticated in future GREAT Challenges, meanwhile the GREAT08 simulations remain as a benchmark for additional developments in shear measurement algorithms.
|Title:||Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing|
|Keywords:||gravitational lensing: weak, methods: data analysis, methods: statistical, techniques: image processing, cosmology: observations, large-scale structure of Universe, GALAXY SHAPE MEASUREMENT, COSMIC SHEAR, INTRINSIC ALIGNMENTS, POWER SPECTRA, DARK ENERGY, WEAK, REQUIREMENTS, REDSHIFT, CALIBRATION, TOMOGRAPHY|
|UCL classification:||UCL > Professional Services > Information Services Division > Research IT Services > Research Data Services
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Physics and Astronomy
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