论文标题
计算机上的宇宙电离:$ 5 \ leq z \ leq10 $之间的Galaxy-Halo连接
Cosmic Reionization On Computers: The Galaxy-Halo Connection between $5 \leq z \leq10$
论文作者
论文摘要
我们使用CROC(计算机上的宇宙电离)模拟在电离时期($ 5 \ leq Z \ leq10 $)期间探索星系的恒星组成部分及其主机晕之间的连接。我们将模拟星系与观察结果进行了比较,发现与观察到的紫外线光度功能相比,CROC低估了发光星系的丰度,与观察到的恒星质量功能相比,CROC预测的是最大的星系。我们可以将恒星形成的赤字追踪到高红移,其中恒星形成速率与恒星质量关系的斜率与观察值一致,但是归一化在系统上很低。这会导致恒星形成速率密度和恒星质量密度,从而系统地抵消了观测值。但是,发光或较低的恒星质量物体具有亮度和恒星质量,与观察数据相当吻合。我们探索了恒星与升级质量比,这是一个很难在高红移下测量的关键数量,并且该模型无法始终如一地预测。在CROC中,恒星与半升高的质量比{\它随红移而降低},这是与一些丰富的匹配研究相反的趋势。这些差异揭示了应该集中精力以改善建模宇宙电离的保真度的地方。我们还将Croc Galaxy偏差与使用Lyman-Break Galaxy(LBG)样品进行观察测量进行了比较。模拟和数据的良好一致性表明,在CROC中正确捕获了暗物质光环的聚类。
We explore the connection between the stellar component of galaxies and their host halos during the epoch of reionization ($5 \leq z\leq10$) using the CROC (Cosmic Reionization on Computers) simulations. We compare simulated galaxies with observations and find that CROC underpredicts the abundance of luminous galaxies when compared to observed UV luminosity functions, and analogously the most massive galaxies when compared to observed stellar mass functions. We can trace the deficit of star formation to high redshifts, where the slope of the star formation rate to stellar mass relation is consistent with observations, but the normalization is systematically low. This results in a star formation rate density and stellar mass density that is systematically offset from observations. However, the less luminous or lower stellar mass objects have luminosities and stellar masses that agree fairly well with observational data. We explore the stellar-to-halo mass ratio, a key quantity that is difficult to measure at high redshifts and that models do not consistently predict. In CROC, the stellar-to-halo mass ratio {\it decreases} with redshift, a trend opposite to some abundance matching studies. These discrepancies uncover where future effort should be focused in order to improve the fidelity of modeling cosmic reionization. We also compare the CROC galaxy bias with observational measurements using Lyman-Break Galaxy (LBG) samples. The good agreement of simulation and data shows that the clustering of dark matter halos is properly captured in CROC.