论文标题
欧几里得：在宇宙学中对大规模中微子进行建模 - 代码比较
Euclid: Modelling massive neutrinos in cosmology -- a code comparison
论文作者
论文摘要
宇宙学大规模聚类数据的绝对中微子质量量表的测量是欧几里得任务的关键科学目标之一。这样的测量依赖于中微子对结构形成的影响的精确建模，可以通过$ n $ body模拟对此进行研究。在这里，我们介绍了主要代码比较工作的结果，以建立用于治疗大量中微子的数值方法的成熟度和可靠性。比较包括11个完整的$ n $ body实施（并非全部独立），两个具有近似时间集成的$ n $体型方案，以及直接预测或模拟此问题功率谱的四个其他代码。使用一组通用的初始数据，我们量化了关于冷暗物质和重子的非线性功率谱的相对一致性，以及对于$ n $ body代码的相对一致性，也是对双光值，halo质量函数和光晕偏置的相对一致性。我们发现不同的数值实现会产生完全一致的结果。因此，我们可以相信我们可以在最常见的摘要统计数据中对大量中微子的影响进行建模。我们还提供代码验证管道以供将来参考。
The measurement of the absolute neutrino mass scale from cosmological large-scale clustering data is one of the key science goals of the Euclid mission. Such a measurement relies on precise modelling of the impact of neutrinos on structure formation, which can be studied with $N$-body simulations. Here we present the results from a major code comparison effort to establish the maturity and reliability of numerical methods for treating massive neutrinos. The comparison includes eleven full $N$-body implementations (not all of them independent), two $N$-body schemes with approximate time integration, and four additional codes that directly predict or emulate the matter power spectrum. Using a common set of initial data we quantify the relative agreement on the nonlinear power spectrum of cold dark matter and baryons and, for the $N$-body codes, also the relative agreement on the bispectrum, halo mass function, and halo bias. We find that the different numerical implementations produce fully consistent results. We can therefore be confident that we can model the impact of massive neutrinos at the sub-percent level in the most common summary statistics. We also provide a code validation pipeline for future reference.
