Analyzing Deep Imaging Data: State of the art algorithms for weak lensing and galaxy formation

分析深度成像数据：弱透镜和星系形成的最先进算法

• 批准号: 0908292
• 负责人: Michael Strauss
• 金额: $ 43.39万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0908292&HistoricalAwards=false
• 关键词: Analyzing; Deep; Imaging; Data; State

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Dr Strauss and his team will develop a software pipeline to analyze images from large sky surveys in a systematic way to optimize their use for weak-lensing measurements: light from a distant galaxy is bent by the gravity of all the matter that it passes by on its way to our telescopes, distorting the shape of the galaxy as we see it. The software will characterize the point spread function of the telescope and its variation across the observed field, and analyze multiple exposures of a given field in a self-consistent and statistically rigorous way. The team will both improve measurements of the observed shapes of the 'lensed' galaxies, and experiment with methods to characterize their intrinsic shapes. They will apply their code to raw data from the Canada-France-Hawaii Legacy Survey, which is now public. Their measurement of the weak-lensing signal (an indication of how strongly mass is clumped on the largest scales) will give results completely independent from those of that survey team. These data will enable the study of galaxy properties at redshifts around one, which are seen as they were when the cosmos had expanded to only half its present size, with roughly the same precision as that available at redshifts of only a tenth from the Sloan Digital Sky Survey.A postdoctoral scholar will be trained by participating in the research. The calibrated photometric catalogs will be made public, with the detailed shape measurements and photometric redshifts. The software tools will also be made public. Both those and the insights gained will be applicable to the next generation of wide-angle surveys, which also aim to measure weak-lensing signals.

该奖项根据 2009 年美国复苏和再投资法案（公法 111-5）提供资金。斯特劳斯博士和他的团队将开发一个软件管道，以系统的方式分析来自大型天空巡天的图像，以优化其在弱透镜测量中的使用：来自遥远星系的光在到达我们的望远镜时被所有物质的重力弯曲，扭曲了我们所看到的星系的形状。 该软件将表征望远镜的点扩散函数及其在观察视场中的变化，并以自洽且统计严格的方式分析给定视场的多次曝光。 该团队将改进对“透镜”星系的观测形状的测量，并尝试表征其固有形状的方法。 他们将把他们的代码应用于来自加拿大-法国-夏威夷遗产调查的原始数据，该调查现已公开。他们对弱透镜信号的测量（表明质量在最大尺度上聚集的程度）将给出完全独立于该调查团队的结果。 这些数据将能够研究红移约为1时的星系特性，就像宇宙膨胀到目前大小一半时的情况一样，其精度与斯隆数字巡天中红移仅为十分之一时的精度大致相同。一名博士后学者将通过参与这项研究来接受培训。 校准后的光度目录将公开，其中包含详细的形状测量和光度红移。 软件工具也将公开。 这些以及获得的见解都将适用于下一代广角调查，该调查也旨在测量弱透镜信号。