利用XSEDE资源模拟实现暗能量调查科学分析

B. Erickson, Raminderjeet Singh, A. Evrard
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引用次数: 3

摘要

即将到来的广域巡天将通过对现有宇宙模型参数施加极其精确的限制,为测试宇宙加速的来源提供能力。这些观测调查将采用基于星系和更大规模结构(如星系团)的统计特征的多种测试。大尺度结构的模拟通过描述系统不确定性的关键来源,提供了使巡天试验的威力最大化的手段。我们描述了一个XSEDE程序来生成多个星系和大尺度宇宙结构的合成天空调查,以支持暗能量调查的科学分析。在过去的一年里,我们解释了airavata支持的方法,并报告了我们工作流程处理的扩展。我们强调科学分析集中在星系团的计数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling dark energy survey science analysis with simulations on XSEDE resources
Upcoming wide-area sky surveys offer the power to test the source of cosmic acceleration by placing extremely precise constraints on existing cosmological model parameters. These observational surveys will employ multiple tests based on statistical signatures of galaxies and larger-scale structures such as clusters of galaxies. Simulations of large-scale structure provide the means to maximize the power of sky survey tests by characterizing key sources of systematic uncertainties. We describe an XSEDE program to produce multiple synthetic sky surveys of galaxies and large-scale cosmic structure in support of science analysis for the Dark Energy Survey. We explain our Airavata-enabled methods and report extensions to our workflow processing over the last year. We highlight science analysis focused on counts of clusters of galaxies.
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