为暗能量光谱仪器构建大尺度结构星表
宇宙学与河外天体物理
2024-07-19 v2
摘要
我们介绍了如何根据暗能量光谱仪器(DESI)观测到的光谱所测量的红移来构建大尺度结构(LSS)星表的技术细节。LSS星表提供了确定DESI示踪物相对数密度随红移和天球坐标变化所需的信息，例如用于确定成团统计量。我们生成的星表是观测数据的加权子样本，每个子样本都匹配一个加权的“随机”星表，该随机星表构成了DESI在每个位置可能观测到这些数据的概率密度的非成团采样。对DESI观测历史和相关硬件性能的精确了解，使我们能够以亚角秒级的精度确定DESI的覆盖天区及其覆盖次数。这使得任何DESI样本的完备性都能以相同的分辨率进行建模。为创建LSS星表而开发的流水线被设计成易于进行鲁棒性测试并支持未来的改进。我们描述了它如何支持正在进行的工作，以改善星系星表与随机星表之间的匹配，例如在给随机星表分配红移时包含更多信息、考虑目标密度的波动、考虑红移成功率的变异以及适应致盲方案。
引用
@article{arxiv.2405.16593,
title = {The Construction of Large-scale Structure Catalogs for the Dark Energy Spectroscopic Instrument},
author = {A. J. Ross and J. Aguilar and S. Ahlen and S. Alam and A. Anand and S. Bailey and D. Bianchi and S. Brieden and D. Brooks and E. Burtin and A. Carnero Rosell and E. Chaussidon and T. Claybaugh and S. Cole and K. Dawson and A. de la Macorra and A. de Mattia and Arjun Dey and Biprateep Dey and P. Doel and K. Fanning and S. Ferraro and J. Ereza and A. Font-Ribera and J. E. Forero-Romero and E. Gaztañaga and H. Gil-Marín and S. Gontcho A Gontcho and A. X. Gonzalez-Morales and J. Guy and C. Hahn and S. Heydenreich and K. Honscheid and C. Howlett and M. Ishak and T. Karim and D. Kirkby and T. Kisner and H. Kong and A. Kremin and A. Krolewski and A. Lambert and M. Landriau and J. Lasker and L. Le Guillou and M. E. Levi and M. Manera and P. Martini and P. McDonald and A. Meisner and R. Miquel and J. Moon and J. Moustakas and A. Muñoz-Gutiérrez and A. D. Myers and S. Nadathur and L. Napolitano and J. A. Newman and J. Nie and G. Niz and N. Palanque-Delabrouille and W. J. Percival and C. Poppett and F. Prada and A. Raichoor and C. Ravoux and M. Rezaie and A. Rosado-Marin and G. Rossi and L. Samushia and E. Sanchez and E. F. Schlafly and D. Schlegel and H. Seo and A. Smith and D. Sprayberry and G. Tarlé and D. Valcin and M. Vargas-Magaña and B. A. Weaver and M. Wilson and J. Yu and P. Zarrouk and C. Zhao and R. Zhou and H. Zou},
journal= {arXiv preprint arXiv:2405.16593},
year = {2024}
}
备注
Accepted (by JCAP) version of supporting publication of DESI 2024II: Sample definitions, characteristics, and two-point clustering statistics