Development and Application of Analysis Methods for Dark Energy Probes

暗能量探针分析方法的开发与应用

• 批准号: 0709498
• 负责人: Lloyd Knox
• 金额: $ 29万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0709498&HistoricalAwards=false
• 关键词: Development; Application; Analysis; Methods; Dark

AST-0709498KnoxThis project will develop, and apply to available data, the analysis algorithms necessary to reach confident conclusions about dark energy and cosmological parameters, from optical imaging surveys. Such surveys have great potential for addressing what may be the most intriguing question in fundamental physics, the origin of the observed acceleration of the cosmological expansion rate. Focusing initially on the Deep Lens Survey will ground the algorithm development in practical needs. The analysis will start with the two-point function of the shear and then extend to the highly significant information in higher-order correlations. Sources of uncertainty in inferences from imaging data are complex and can only be taken fully into account with numerical simulation. This challenge will be met by developing a Monte Carlo analysis framework, using cosmological simulations from collaboration with the Los Alamos National Laboratory.The developed analysis framework will be directly useful for future ground- and space-based surveys, both underway and being planned, and may be applicable to a diversity of other experiments where numerical simulation plays a key role in the interpretation of data. In addition the training of junior researchers, the research will inform work with K-12 teachers through the Sacramento-based 'Science in the River City' program.

AST-0709498 Knox该项目将开发并应用于现有数据，必要的分析算法，以从光学成像调查中得出有关暗能量和宇宙学参数的可靠结论。 这样的调查有很大的潜力来解决可能是基础物理学中最有趣的问题，即观测到的宇宙膨胀率加速的起源。 最初集中在深透镜调查将地面算法的发展，在实际需要。 分析将从剪切的两点函数开始，然后扩展到高阶相关性中的高度显著信息。 从成像数据推断的不确定性来源是复杂的，只能充分考虑到与数值模拟。 这一挑战将通过使用与洛斯阿拉莫斯国家实验室合作的宇宙学模拟开发蒙特卡罗分析框架来应对。开发的分析框架将直接用于未来正在进行和计划中的地基和天基调查，并且可能适用于各种其他实验，其中数值模拟在数据解释中发挥关键作用。 除了对初级研究人员的培训外，这项研究还将通过萨克拉门托的“河城科学”计划与K-12教师合作。