面向 DESI 2024 及未来的 Velocileptors 参数压缩与全建模技术分析
宇宙学与河外天体物理
2024-07-18 v4
摘要
为迎接当前和未来光谱巡天的即将发布的数据，我们在使用 \texttt{velocileptors} 建模流水线拟合来自 \texttt{AbacusSummit} N-body 模拟的模拟数据时，展示了其验证测试与系统效应分析。我们将参数压缩方法获得的约束与直接拟合星系功率谱的 Full-Modeling 方法进行了比较，并表明在标准 CDM 参数空间中，传统模板方法的 ShapeFit 扩展与 Full-Modeling 方法一致。我们展示了使用 ShapeFit 和 Full-Modeling 方法拟合不同红移分箱时对标度截断的依赖性。我们测试了联合拟合来自多个红移分箱数据的能力，以及重构前功率谱与重构后 BAO 相关函数信号的联合分析。我们进一步展示了在将参数空间扩展至 CDM 之外以及将似然与外部数据集（即 Planck CMB 先验）结合时模型的行为。最后，我们描述了星系偏置、抵消项和随机参数的不同参数化选项，并采用晕模型来为确保微扰理论稳定性所需的合适先验提供物理动机。
引用
@article{arxiv.2404.07312,
title = {An analysis of parameter compression and full-modeling techniques with Velocileptors for DESI 2024 and beyond},
author = {M. Maus and S. Chen and M. White and J. Aguilar and S. Ahlen and A. Aviles and S. Brieden and D. Brooks and T. Claybaugh and S. Cole and A. de la Macorra and Arjun Dey and P. Doel and S. Ferraro and N. Findlay and J. E. Forero-Romero and E. Gaztañaga and H. Gil-Marín and S. Gontcho A Gontcho and C. Hahn and K. Honscheid and C. Howlett and M. Ishak and S. Juneau and A. Kremin and Y. Lai and M. Landriau and M. E. Levi and M. Manera and R. Miquel and E. Mueller and A. D. Myers and S. Nadathur and J. Nie and H. E. Noriega and N. Palanque-Delabrouille and W. J. Percival and C. Poppett and S. Ramirez-Solano and M. Rezaie and A. Rocher and G. Rossi and E. Sanchez and D. Schlegel and M. Schubnell and H. Seo and D. Sprayberry and G. Tarlé and M. Vargas-Magaña and B. A. Weaver and S. Yuan and P. Zarrouk and H. Zhang and R. Zhou and H. Zou},
journal= {arXiv preprint arXiv:2404.07312},
year = {2024}
}
备注
56 pages, 23 figures. Supporting publication of DESI 2024 V: Analysis of the full shape of two-point clustering statistics from galaxies and quasars