论文标题
与Illustristng说明Desi时代的Galaxy-Halo连接
Illustrating galaxy-halo connection in the DESI era with IllustrisTNG
论文作者
论文摘要
我们采用流体动力模拟插图来告知红色速度Z〜0.8的黑色红色星系(LRG)和发射线星系(ELG)样品的星系 - 哈洛连接(LRG)和发射线星系(ELG)样品。具体而言,我们对Illustristng的星系颜色进行建模,并应用滑动的DESI颜色缩放效果,与DESI目标密度匹配。我们通过在Illustristng暗物质运行中将其与相应的暗物质光环匹配,研究选定样品的光环占用分布模型(HOD)。我们发现LRG和ELG样品的HOD与它们各自的基线模型一致,但我们也发现与关于卫星分布,速度偏置和星系次要偏见的常见假设的重要偏差。我们确定了两个样本中基于浓度和基于环境的职业差异的有力证据,这种效果称为“星系组装偏置”。中央和卫星星系对次级光环特性具有不同的依赖性,表明中心和卫星具有不同的进化轨迹,应分别建模。这些结果旨在为建模Galaxy-Halo连接进行DESI分析的必要复杂性,并准备构建高保真模拟星系。最后,我们提出了基于改组的聚类分析,该分析揭示了由于次级星系偏见而导致的适度统计显着性的LRG聚类过剩10-15%。我们还为ELG找到了类似的过剩签名,但统计学意义要低得多。当较大的流体动力模拟体积可用时,我们希望我们的分析管道可以确定此类过量聚类特征的确切来源。
We employ the hydrodynamical simulation IllustrisTNG to inform the galaxy-halo connection of the Luminous Red Galaxy (LRG) and Emission Line Galaxy (ELG) samples of the Dark Energy Spectroscopic Instrument (DESI) survey at redshift z ~ 0.8. Specifically, we model the galaxy colors of IllustrisTNG and apply sliding DESI color-magnitude cuts, matching the DESI target densities. We study the halo occupation distribution model (HOD) of the selected samples by matching them to their corresponding dark matter halos in the IllustrisTNG dark matter run. We find the HOD of both the LRG and ELG samples to be consistent with their respective baseline models, but also we find important deviations from common assumptions about the satellite distribution, velocity bias, and galaxy secondary biases. We identify strong evidence for concentration-based and environment-based occupational variance in both samples, an effect known as "galaxy assembly bias". The central and satellite galaxies have distinct dependencies on secondary halo properties, showing that centrals and satellites have distinct evolutionary trajectories and should be modelled separately. These results serve to inform the necessary complexities in modeling galaxy-halo connection for DESI analyses and also prepare for building high-fidelity mock galaxies. Finally, we present a shuffling-based clustering analysis that reveals a 10-15% excess in the LRG clustering of modest statistical significance due to secondary galaxy biases. We also find a similar excess signature for the ELGs, but with much lower statistical significance. When a larger hydrodynamical simulation volume becomes available, we expect our analysis pipeline to pinpoint the exact sources of such excess clustering signatures.