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arXiv 2402.10697astro-ph.CO
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暗能量调查:从最终数据集测量宇宙学声学振荡的星系样本

Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)(能源、环境与技术研究中央中心);Université Grenoble Alpes(格勒诺布尔阿尔卑斯大学);CNRS(法国国家科学研究中心);LPSC-IN2P3(格勒诺布尔粒子与核物理实验室);Laboratoire de physique des 2 infinis Irène Joliot-Curie(伊雷娜·约里奥-居里无限物理实验室);Université Paris-Saclay(巴黎萨克雷大学);Instituto de Fisica Teorica UAM/CSIC(马德里自治大学/西班牙高等科学研究理事会理论物理研究所);Universidad Autonoma de Madrid(马德里自治大学);Institut de Física d’Altes Energies (IFAE)(高能物理研究所);The Barcelona Institute of Science and Technology(巴塞罗那科学技术研究院);Ruhr University Bochum(波鸿鲁尔大学);German Centre for Cosmological Lensing(宇宙学透镜德国中心);School of Physics and Astronomy, Sun Yat-sen University(中山大学物理学院);CSST Science Center for the Guangdong-Hongkong-Macau Greater Bay Area, SYSU(中山大学大湾区子午工程科学中心);Instituto de Física Teórica, Universidade Estadual Paulista(圣保罗州立大学理论物理研究所);Laboratório Interinstitucional de e-Astronomia - LIneA(跨机构电子天体物理学实验室);Brookhaven National Laboratory(布鲁克海文国家实验室);Department of Physics, University of Michigan(密歇根大学物理系)
J. Mena-Fernández, M. Rodríguez-Monroy, S. Avila, A. Porredon, K. C. Chan, H. Camacho, N. Weaverdyck, I. Sevilla-Noarbe, E. Sanchez, L. Toribio San Cipriano, J.… 展开作者

J. Mena-Fernández, M. Rodríguez-Monroy, S. Avila, A. Porredon, K. C. Chan, H. Camacho, N. Weaverdyck, I. Sevilla-Noarbe, E. Sanchez, L. Toribio San Cipriano, J. De Vicente, I. Ferrero, R. Cawthon, A. Carnero Rosell, J. Elvin-Poole, G. Giannini, M. Adamow, K. Bechtol, A. Drlica-Wagner, R. A. Gruendl, W. G. Hartley, A. Pieres, A. J. Ross, E. S. Rykoff, E. Sheldon, B. Yanny, T. M. C. Abbott, M. Aguena, S. Allam, O. Alves, A. Amon, F. Andrade-Oliveira, J. Annis, D. Bacon, J. Blazek, S. Bocquet, D. Brooks, J. Carretero, F. J. Castander, C. Conselice, M. Crocce, L. N. da Costa, M. E. S. Pereira, T. M. Davis, N. Deiosso, S. Desai, H. T. Diehl, S. Dodelson, C. Doux, S. Everett, J. Frieman, J. García-Bellido, E. Gaztanaga, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. Huterer, K. Kuehn, O. Lahav, S. Lee, C. Lidman, H. Lin, J. L. Marshall, F. Menanteau, R. Miquel, J. Myles, R. L. C. Ogando, A. Palmese, W. J. Percival, A. A. Plazas Malagón, A. Roodman, R. Rosenfeld, S. Samuroff, D. Sanchez Cid, B. Santiago, M. Schubnell, M. Smith, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, C. To, D. L. Tucker, A. R. Walker, J. Weller, P. Wiseman, M. Yamamoto

AI总结:

本文介绍了暗能量调查Y6数据集中用于测量宇宙学声学振荡的星系样本,通过优化红移依赖的视亮度切割,提高了BAO测量精度约25%。

摘要:

在本文中,我们介绍了并验证了用于分析暗能量调查(DES)Y6数据中宇宙学声学振荡(BAO)信号的星系样本。该定义基于一种基于颜色和红移依赖的视亮度切割,优化以选择红移高于0.6的星系,同时确保高质量的光谱红移确定。优化是通过Fisher预报算法进行的,发现最优的i-视亮度切割为i<19.64+2.894z_ph。对于最优样本,我们预测BAO测量的精度将比Y3分析提高约25%。我们的BAO样本在红移范围0.6<z_ph<1.2内共有15,937,556个星系,其角掩膜覆盖了4,273.42平方度,深度为i=22.5。我们通过三种不同的方法验证其红移分布:方向邻域拟合算法(DNF),即我们的主要光谱红移估计;直接校准使用VIPERS的光谱红移;以及利用SDSS星系的聚类红移。基准红移分布是这些三种技术的组合,通过修改DNF分布的均值和宽度以匹配VIPERS和聚类红移的结果。在本文中,我们还描述了用于减轻观测系统误差影响的方法,这与Y3分析中使用的方法类似。本文是两篇专门分析DES Y6中BAO信号的论文之一。在它的配套论文中,我们通过拟合到BAO尺度来呈现角直径距离约束。

英文摘要:

In this paper we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y6 data. The definition is based on a color and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.6, while ensuring a high-quality photo-$z$ determination. The optimization is performed using a Fisher forecast algorithm, finding the optimal $i$-magnitude cut to be given by $i$<19.64+2.894$z_{\rm ph}$. For the optimal sample, we forecast an increase in precision in the BAO measurement of $\sim$25% with respect to the Y3 analysis. Our BAO sample has a total of 15,937,556 galaxies in the redshift range 0.6<$z_{\rm ph}$<1.2, and its angular mask covers 4,273.42 deg${}^2$ to a depth of $i$=22.5. We validate its redshift distributions with three different methods: directional neighborhood fitting algorithm (DNF), which is our primary photo-$z$ estimation; direct calibration with spectroscopic redshifts from VIPERS; and clustering redshift using SDSS galaxies. The fiducial redshift distribution is a combination of these three techniques performed by modifying the mean and width of the DNF distributions to match those of VIPERS and clustering redshift. In this paper we also describe the methodology used to mitigate the effect of observational systematics, which is analogous to the one used in the Y3 analysis. This paper is one of the two dedicated to the analysis of the BAO signal in DES Y6. In its companion paper, we present the angular diameter distance constraints obtained through the fitting to the BAO scale.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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