DESI 2024 数据两点相关函数的半解析协方差矩阵
摘要
我们提出了一种优化的方法，用于快速生成两点相关函数勒让德矩的半解析协方差矩阵，该方法考虑了巡天几何并模拟了非高斯效应。我们在代表暗能量光谱仪（DESI）数据释放 1（用于 2024 年分析）的不同星系类型的模拟（mock）星表上验证了该方法。我们发现 mock 样本协方差矩阵与我们的结果之间仅有百分之几的差异，鉴于 mock 的近似性质，这是可以预期的，尽管我们确实发现了 DESI 光纤分配算法的散粒噪声特性与 mock 中使用的更快的近似（模拟器）之间存在差异。重要的是，我们发现在重子声学振荡测量的距离尺度参数的投影误差棒上具有高度一致性（相对差异 <=8\%）。这证实了我们的方法是基于模拟的协方差矩阵的一个有吸引力的替代方案，特别是对于非标准模型或星系样本选择，使其与当前和未来广泛的 DESI 数据分析尤为相关。
引用
@article{arxiv.2404.03007,
title = {Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data},
author = {M. Rashkovetskyi and D. Forero-Sánchez and A. de Mattia and D. J. Eisenstein and N. Padmanabhan and H. Seo and A. J. Ross and J. Aguilar and S. Ahlen and O. Alves and U. Andrade and D. Brooks and E. Burtin and X. Chen and T. Claybaugh and S. Cole and A. de la Macorra and Z. Ding and P. Doel and K. Fanning and S. Ferraro and A. Font-Ribera and J. E. Forero-Romero and C. Garcia-Quintero and H. Gil-Marín and S. Gontcho A Gontcho and A. X. Gonzalez-Morales and G. Gutierrez and K. Honscheid and C. Howlett and S. Juneau and A. Kremin and L. Le Guillou and M. Manera and L. Medina-Varela and J. Mena-Fernández and R. Miquel and E. Mueller and A. Muñoz-Gutiérrez and A. D. Myers and J. Nie and G. Niz and E. Paillas and W. J. Percival and C. Poppett and A. Pérez-Fernández and M. Rezaie and A. Rosado-Marin and G. Rossi and R. Ruggeri and E. Sanchez and C. Saulder and D. Schlegel and M. Schubnell and D. Sprayberry and G. Tarlé and B. A. Weaver and J. Yu and C. Zhao and H. Zou},
journal= {arXiv preprint arXiv:2404.03007},
year = {2025}
}
备注
This DESI Publication is part of the 2024 series using the first year of observations (see https://data.desi.lbl.gov/doc/papers/). 41 pages, 4 figures. Major rewrite after v2. Accepted to JCAP. Code available at https://github.com/oliverphilcox/RascalC and https://github.com/cosmodesi/RascalC-scripts/tree/DESI2024. Figure and table data available at https://zenodo.org/doi/10.5281/zenodo.10895161