Simulating DESI surveys

暗能量测量仪器（DESI）的星系测量将生成本地宇宙中最广泛的星系分布图。对这些星系所追踪到的大尺度结构的统计分析将用于测量我们的宇宙学模型的参数，包括暗能量的特性。然而，在进行数据分析之前，我们需要大量的模拟目录来量化系统误差，并在必要时开发缓解技术。该项目将产生、测试和完善执行该程序所需的模拟。它还将使用这些模拟来验证现有的分析聚类模型，并在必要时改进模型以减少系统误差，否则会影响宇宙学参数的推断。

The Dark Energy Survey Instrument (DESI) galaxy surveyswill produce the most extensive maps of the galaxy distribution in thelocal Universe. Statistical analysis of the large scale structure traced out by these galaxies will be used to measure the parameters ofour cosmological model including the properties of dark energy. However ahead of data analysis we need large sets of simulated cataloguesto quantify systematic errors and where necessary develop mitigation techniques. This project will produce, test and refine the simulationsrequired to perform this program. It will also use these simulations tovalidate existing analytic clustering models and where necessaryimprove the models to reduce the systematic errors that wouldotherwise affect the inference of cosmological parameters.