论文标题
智商协作II:跨模拟和观察的孤立,低质量星系的静止部分
IQ Collaboratory II: The Quiescent Fraction of Isolated, Low Mass Galaxies Across Simulations and Observations
论文作者
论文摘要
我们通过将模拟星系向观测空间进行正向建模,并计算出分离和静止的低质量星系作为恒星质量的函数来比较三个主要的大型流体动力学模拟(Eagle,Illustris-TNG和Simba)。使用SDSS作为观察模板,我们创建了每个模拟的模拟调查以及合成光谱和光度观察,从而增加了逼真的噪声和观察限制。所有三个模拟均显示质量范围$ \ mathrm {M} _* = 10^{9-10} \ \ \ \ \ \ \ \ \ \ \ \ odot $的静态,隔离星系的数量减少。但是,即使考虑了观察性和选择偏见,也没有一个模拟再现了观察到的静态野外星系,低于$ \ mathrm {m} _*= 10^{9} {9} \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ mathrm {m} _ \ odot $。我们发现,尽管晚期恒星形成历史的明显变化,但通过合成观测选择的低质量静态种群具有一致的淬火时间尺度。增加数值分辨率的效果在模拟中并不统一,不能完全减轻模拟和观测值之间的差异。此处介绍的框架展示了一条通往理论模拟和星系调查观测值之间更稳健和准确的比较的途径,而淬火阈值是对反馈实现的敏感探测。
We compare three major large-scale hydrodynamical galaxy simulations (EAGLE, Illustris-TNG, and SIMBA) by forward modeling simulated galaxies into observational space and computing the fraction of isolated and quiescent low mass galaxies as a function of stellar mass. Using SDSS as our observational template, we create mock surveys and synthetic spectroscopic and photometric observations of each simulation, adding realistic noise and observational limits. All three simulations show a decrease in the number of quiescent, isolated galaxies in the mass range $\mathrm{M}_* = 10^{9-10} \ \mathrm{M}_\odot$, in broad agreement with observations. However, even after accounting for observational and selection biases, none of the simulations reproduce the observed absence of quiescent field galaxies below $\mathrm{M}_*=10^{9} \ \mathrm{M}_\odot$. We find that the low mass quiescent populations selected via synthetic observations have consistent quenching timescales, despite apparent variation in the late time star formation histories. The effect of increased numerical resolution is not uniform across simulations and cannot fully mitigate the differences between the simulations and the observations. The framework presented here demonstrates a path towards more robust and accurate comparisons between theoretical simulations and galaxy survey observations, while the quenching threshold serves as a sensitive probe of feedback implementations.