论文标题
排放线星系的组装偏置
The assembly bias of emission line galaxies
论文作者
论文摘要
下一代光谱调查将靶向发射线星系(ELG),以对宇宙学参数产生约束。我们使用半分析模型的Galaxy形成模型的组合研究了ELG所追踪的大规模结构,该代码使用星际介质的特性和大量的高分辨率N-BODON N-BOTON模拟来计算HII区域的Nebular发射。我们考虑固定的数字密度样本,其中选择星系由其H $α$,[OIII] $λ5007$或[OII] $λλ3727-3729$发射线亮度选择。我们研究了这些样品的组装偏置标志,并将其与恒星质量和SFR选定样品的偏置签名进行比较。有趣的是,我们发现[OIII]和[OII]选择的样品在大尺度上显示出规模依赖性偏差,并且它们的组装偏置签名也与比例有关。对于较低的数量密度样品,这两种效应都更为明显。对量表依赖性最大的[OIII]和[OII]发射器往往具有低气相金属性,并且在低密度区域优先发现。我们还测量了与过度繁殖的增长率相关的Baryon声学振荡(BAO)特征和$β$参数。我们发现,对于[OII]发射器,BAO峰向较小的尺度转移的趋势很小,并且$β$在大尺度上是规模依赖性的。我们的结果表明,ELG样品包括应建模的环境效应,以消除可能影响宇宙参数估计的潜在系统误差。
The next generation of spectroscopic surveys will target emission-line galaxies (ELGs) to produce constraints on cosmological parameters. We study the large scale structure traced by ELGs using a combination of a semi-analytical model of galaxy formation, a code that computes the nebular emission from HII regions using the properties of the interstellar medium, and a large-volume, high-resolution N-body simulation. We consider fixed number density samples where galaxies are selected by either their H$α$, [OIII]$λ5007$ or [OII]$λλ3727-3729$ emission line luminosities. We investigate the assembly bias signatures of these samples, and compare them to those of stellar mass and SFR selected samples. Interestingly, we find that the [OIII]- and [OII]-selected samples display scale-dependent bias on large scales and that their assembly bias signatures are also scale-dependent. Both these effects are more pronounced for lower number density samples. The [OIII] and [OII] emitters that contribute most to the scale dependence tend to have a low gas-phase metallicity and are preferentially found in low-density regions. We also measure the baryon acoustic oscillation (BAO) feature and the $β$ parameter related to the growth rate of overdensities. We find a slight tendency for the BAO peak to shift toward smaller scales for [OII] emitters and that $β$ is scale-dependent at large scales. Our results suggest that ELG samples include environmental effects that should be modelled in order to remove potential systematic errors that could affect the estimation of cosmological parameters.