The Subaru FMOS Galaxy Redshift Survey (FastSound). I. Overview of the Survey Targeting on Halpha Emitters at z ~ 1.4 Survey

The Subaru FMOS Galaxy Redshift Survey (FastSound). I. Overview of the Survey Targeting on Halpha Emitters at z ~ 1.4 Survey
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斯巴鲁 FMOS 星系红移调查 (FastSound)。

DOI:
10.1093/pasj/psv044
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发表时间:
2015
影响因子:
2.3
通讯作者:
Motonari TONEGAWA et al.
Motonari TONEGAWA et al.
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
山本宏昭;漆原宏亮;岡本竜治;鳥居和史;早川貴敬;立原研悟;福井康雄;Norihide Tokushige;T. Ozawa;降籏 大介;Motonari TONEGAWA et al.

文献摘要

相似文献

FastSound是一项星系红移探测,它使用安装在斯巴鲁望远镜上的近红外光纤多目标光谱仪(FMOS),目标是Hα发射体,Z∼ 1.18-1.54,直到Hα通量∼ 2×10−16erg/cm−2s−1的灵敏度极限。调查的主要目标是探测红移空间扭曲,通过测量大尺度结构的增长率来检验广义相对论,并约束修正的引力模型来解释宇宙加速膨胀的起源。目标星系的选择是基于光度红移和Hα通量估计,该估计是通过将光谱能量分布模型与加拿大-法国-夏威夷望远镜遗产调查的五个光学等级数进行拟合而计算出来的。调查于2012年3月开始,所有观测工作于2014年7月完成。通过将CFHTLS的四个区域以六角形图案铺设,我们总共获得了121个FMO点(每个点有一个30‘直径的圆形足迹),覆盖了20.6°2。应用2D光谱图像的自动谱线检测算法对∼ 4000恒星形成星系的发射线进行了探测。这是基于FastSound数据的系列论文中的第一篇,我们描述了调查设计、目标选择、观测、数据缩减和发射线探测的细节。
FastSound is a galaxy redshift survey that uses the near-infrared Fiber Multi-Object Spectrograph (FMOS) mounted on the Subaru Telescope, targeting Hα emitters atz∼ 1.18–1.54 down to the sensitivity limit of Hα flux ∼ 2 × 10−16erg cm−2s−1. The primary goal of the survey is to detect redshift space distortion (RSD), to test the general theory of relativity by measuring the growth rate of large-scale structure and to constrain modified gravity models for the origin of the accelerated expansion of the universe. The target galaxies were selected based on photometric redshifts and Hα flux estimates calculated by fitting spectral energy distribution (SED) models to the five optical magnitudes of the Canada–France–Hawaii Telescope Legacy Survey (CFHTLS) Wide catalog. The survey started in 2012 March, and all the observations were completed in 2014 July. In total, we achieved 121 pointings of FMOS (each pointing has a 30′ diameter circular footprint) covering 20.6 deg2by tiling the four fields of the CFHTLS Wide in a hexagonal pattern. Emission lines were detected from ∼ 4000 star-forming galaxies by an automatic line detection algorithm applied to 2D spectral images. This is the first in a series of papers based on FastSound data, and we describe the details of the survey design, target selection, observations, data reduction, and emission line detections.