论文标题
来自宇宙大规模结构的精确宇宙学
Precision cosmology from large-scale structure of the Universe
论文作者
论文摘要
宇宙的大规模结构成为精确宇宙学信息的主要来源。我们提供了两个特定的工具，可以在红移空间星系聚类数据的宇宙学分析中使用：一种新的开源代码类别PT和理论错误方法。 Class-PT为物质场和偏红移空间中的物质场和偏置示踪剂计算一环功率自动和跨功能光谱。我们表明，该代码符合即将进行的高精度大规模结构调查设定的精确标准。理论错误似然方法允许人们分析星系群集数据，而无需测量比例cut $ k _ {\ rm max} $。这种方法考虑到理论不确定性会逐渐影响参数估计，这有助于优化数据分析并确保提取所有可用的宇宙学信息。
Large scale structure of the Universe becomes a leading source of precision cosmological information. We present two particular tools that can be used in cosmological analyses of the redshift space galaxy clustering data: a new open-source code CLASS-PT and the theoretical error approach. CLASS-PT computes one-loop power auto- and cross-power spectra for matter fields and biased tracers in real and redshift spaces. We show that the code meets the precision standards set by the upcoming high-precision large-scale structure surveys. The theoretical error likelihood approach allows one to analyze galaxy clustering data without having to measure the scale cut $k_{\rm max}$. This approach takes into account that theoretical uncertainties affect parameter estimation gradually, which helps optimize data analysis and ensures that all available cosmological information is extracted.
