宇宙学图像分析：来自GREAT10 Star Challenge的结果
Image Analysis for Cosmology: Results from the GREAT10 Star Challenge
摘要：
我们提出的结果，从第一个公共盲PSF重建的挑战，引力透镜精度测试2010年（GREAT10）明星挑战。在弱透镜效应的图像分析中，对非恒星位置上稀疏采样的点扩散函数进行重建是一个关键的部分，在弱透镜效应中，椭圆率和尺寸平方的不精确会影响测量星系形状的能力。这是很重要的，因为弱透镜是暗能量的一种特别敏感的探测器，可以用来绘制大尺度结构的质量分布。挑战的参与者被呈现了27，500颗星星，超过1300张图像，细分为26组，其中每组中，PSF的类型或空间变化进行了类别更改。9个小组提交了30份材料。最好的方法重建的PSF的精度约为0.00025的椭圆率和约0.00074的大小平方。对于固定的像素尺度，发现较窄的PSF比较大的PSF更难建模，并且PSF重建在包含大气湍流模型的情况下严重退化（尽管该结果可能是湍流功率谱的幅度的强函数）。
英文摘要：
We present the results from the first public blind PSF reconstruction challenge, the GRavitational lEnsing Accuracy Testing 2010 (GREAT10) Star Challenge. Reconstruction of a spatially varying PSF, sparsely sampled by stars, at non-star positions is a critical part in the image analysis for weak lensing where inaccuracies in the modelled ellipticity and size-squared can impact the ability to measure the shapes of galaxies. This is of importance because weak lensing is a particularly sensitive probe of dark energy, and can be used to map the mass distribution of large scale structure. Participants in the challenge were presented with 27,500 stars over 1300 images subdivided into 26 sets, where in each set a category change was made in the type or spatial variation of the PSF. Thirty submissions were made by 9 teams. The best methods reconstructed the PSF with an accuracy of ~0.00025 in ellipticity and ~0.00074 in size squared. For a fixed pixel scale narrower PSFs were found to be more difficult to model than larger PSFs, and the PSF reconstruction was severely degraded with the inclusion of an atmospheric turbulence model (although this result is likely to be a strong function of the amplitude of the turbulence power spectrum).
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。
