论文标题

使用eBoss Stripe 82 ly $ $α$ forest的大规模物质分布的层析成像图

A tomographic map of the large-scale matter distribution using the eBOSS Stripe 82 Ly-$α$ forest

论文作者

Ravoux, C., Armengaud, E., Walther, M., Etourneau, T., Pomarède, D., Palanque-Delabrouille, N., Yèche, C., Bautista, J., Bourboux, H. du Mas des, Chabanier, S., Dawson, K., Goff, J. -M. Le, Lyke, B., Myers, A. D., Petitjean, P., Pieri, M. M., Rich, J., Rossi, G., Schneider, D. P.

论文摘要

Lyman-$α$(以下简称Ly-$α$)森林是对高红移的大规模物质密度波动的探测,$ z> 2.1 $。它由沿各个视线的HI吸收光谱组成。如果视线密度足够大,则可以通过层析成像重建来推断3D HI吸收图。在本文中,我们根据SDSS Data Release DR16的Quasar Spectra,调查了Stripe 82字段中可用的Ly-$α$森林($ 220 \,\ Mathrm {deg^{2}} $)。观察到的类星体光谱的密度为$ 37 \,\ mathrm {deg^{ - 2}} $,平均像素信噪比为每个Angstrom两个。这项研究提供了平均SDSS密度与较少但较小的Clamato调查之间的中间情况。我们使用Wiener滤波器技术从这些数据中得出了大规模物质波动的3D图。地图的总音量为$ 0.94 \,\ mathrm {h^{ - 3} gpc^{3}} $。它的分辨率为$ 13 \,\ mathrm {h^{ - 1} mpc} $,这与最近视线之间的平均横向距离有关。从此地图中,我们提供了宇宙网络中的空隙和原始候选者的目录。将地图制作和空隙目录与模拟的Eboss条纹进行了比较。堆叠在类星体位置上可视化ly-$α$ quasar互相关。该断层扫描重建构成了最大体积的高降射3D物质波动地图。

The Lyman-$α$ (hereafter Ly-$α$) forest is a probe of large-scale matter density fluctuations at high redshift, $z > 2.1$. It consists of HI absorption spectra along individual lines-of-sight. If the line-of-sight density is large enough, 3D maps of HI absorption can be inferred by tomographic reconstruction. In this article, we investigate the Ly-$α$ forest available in the Stripe 82 field ($220\,\mathrm{deg^{2}}$), based on the quasar spectra from SDSS Data Release DR16. The density of observed quasar spectra is $37\,\mathrm{deg^{-2}}$ with a mean pixel signal-to-noise ratio of two per angstrom. This study provides an intermediate case between the average SDSS density and that of the much denser but smaller CLAMATO survey. We derive a 3D map of large-scale matter fluctuations from these data, using a Wiener filter technique. The total volume of the map is $0.94\,\mathrm{h^{-3} Gpc^{3}}$. Its resolution is $13\,\mathrm{h^{-1} Mpc}$, which is related to the mean transverse distance between nearest lines-of-sight. From this map, we provide a catalog of voids and protocluster candidates in the cosmic web. The map-making and void catalog are compared to simulated eBOSS Stripe 82 observations. A stack over quasar positions provides a visualization of the Ly-$α$ quasar cross-correlation. This tomographic reconstruction constitutes the largest-volume high-redshift 3D map of matter fluctuations.

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