iMaNGA：基于IllustrisTNG和MaStar SSP的模拟MaNGA星系。I.模拟数据立方体的构造与分析
iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. I. Construction and analysis of the mock data cubes
摘要：
星系形成和演化模拟是探测鲜为人知的天体物理过程的重要工具，但需要特别注意将模拟与星系观测进行比较，因为观测数据也需要建模。我们提出了一种方法来产生模拟星系的流体动力学的IllustrisTNG模拟，适合比较积分场光谱观测的星系从SDSS-IV/MANGA调查。首先，我们包括相同的仪器的效果和程序，在采集和分析的实际数据。此外，我们使用新的恒星人口模型的基础上的MaNGA恒星库（MaStar）的模拟产生的星系光谱。通过这种方式，我们的模拟数据立方体具有相同的空间采样，覆盖相同的波长范围（3600 - 10300 nm），并共享相同的光谱分辨率（$R\approx1800$）和真实MaNGA星系光谱的通量校准。在这第一篇论文中，我们演示了早期型和晚期型模拟星系TNG 50的方法。我们分析了相应的模拟MANGA样的数据立方体与相同的全光谱拟合代码，\textsc{FIREFLY}，这是用于观察到的光谱。我们发现，内在的和恢复的年龄和金属丰度梯度是一致的1 $σ$内，在68 $\%$置信水平与$0$一致的所有流苏的残差。我们还进行了具有挑战性的测试，比较内在和恢复的恒星形成历史，发现输入和输出之间的密切相似。在后续的论文中，我们将提出一个完整的模拟类MANGA目录（$\approx10,000$星系）与TNG 50模拟MANGA观测结果的全面比较。
英文摘要：
Galaxy formation and evolution simulations are essential tools to probe poorly known astrophysics processes, but particular care is needed to compare simulations with galaxy observations, as observed data need to be modelled as well. We present a method to generate mock galaxies from the hydro-dynamical IllustrisTNG simulations which are suited to compare with integral field spectroscopic observation of galaxies from the SDSS-IV/MaNGA survey. Firstly, we include the same instrumental effects and procedures as adopted in the acquisition and analysis of real data. Furthermore, we generate the galaxy spectra from the simulations using new stellar population models based on the MaNGA stellar library (MaStar). In this way, our mock data cubes have the same spatial sampling, cover the same wavelength range (3600-10300 Å), and share the same spectral resolution ($R\approx1800$) and flux calibration of real MaNGA galaxy spectra. In this first paper, we demonstrate the method over an early-type and a late-type simulated galaxy from TNG50. We analyse the correspondent mock MaNGA-like data cubes with the same full spectral fitting code, \textsc{FIREFLY}, which was used for the observed spectra. We find that the intrinsic and recovered age and metallicity gradients are consistent within 1$σ$, with residuals over all tassels consistent with $0$ at the 68$\%$ confidence level. We also perform the challenging test at comparing intrinsic and recovered star formation histories, finding a close resemblance between input and output. In follow-up papers, we will present a full simulated MaNGA-like catalogue ($\approx10,000$ galaxies) with a comprehensive comparison of TNG50 simulations to MaNGA observational results.
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