论文标题
brackett- $γ$作为来自SED配件的恒星形成率的金标准测试
Brackett-$γ$ as a Gold-standard Test of Star Formation Rates Derived from SED Fitting
论文作者
论文摘要
使用21个星系的本地参考样本,我们比较了$λ$ 2.16 $ $ m $ m m brackett-$γ$(br $γ$)氢重组线的观察结果与探矿者贝叶斯推理框架的预测,该框架用于适合这些系统的宽带光度计。这是对光谱 - 能量分布衍生的恒星形成率(SFR)的干净测试,因为预计在几乎所有星系中,尘埃在此波长下都在光学上很薄。因此,SFR向预测线光度的内部转换不像采用的灰尘模型和后灰尘参数一样,像较短波长线(如H $α$)一样。我们发现,探矿者可以预测Br $γ$亮度和相同的宽度具有小偏移($ \ sim $ 0.05 DEX)和STACK($ \ sim $ 0.2 dex),但与测量不确定性一致,尽管我们警告说,派生的偏移取决于恒星等级异隆的选择。我们证明,即使探矿者衍生的灰尘衰减无法很好地描述,例如H $α$线的属性或观察到的H $α$和BR $γ$之间的变红,基础SFR也是准确的,如无尘的BR $γ$比较所证实的。最后,我们讨论了Br $γ$在以什么方式被视为模型输入时可以帮助约束模型参数的方式,并在JWST MultiObject近IIR光谱时代评论其作为准确的单色SFR指标的潜力。
Using a local reference sample of 21 galaxies, we compare observations of the $λ$2.16 $μ$m Brackett-$γ$ (Br$γ$) hydrogen recombination line with predictions from the Prospector Bayesian inference framework, which was used to fit the broadband photometry of these systems. This is a clean test of the spectral-energy-distribution-derived star formation rates (SFRs), as dust is expected to be optically thin at this wavelength in nearly all galaxies; thus, the internal conversion of SFR to predicted line luminosity does not depend strongly on the adopted dust model and posterior dust parameters, as is the case for shorter-wavelength lines such as H$α$. We find that Prospector predicts Br$γ$ luminosities and equivalent widths with small offsets ($\sim$0.05 dex), and scatter ($\sim$0.2 dex), consistent with measurement uncertainties, though we caution that the derived offset is dependent on the choice of stellar isochrones. We demonstrate that even when the Prospector-derived dust attenuation does not well describe, e.g., H$α$ line properties or observed reddening between H$α$ and Br$γ$, the underlying SFRs are accurate, as verified by the dust-free Br$γ$ comparison. Finally, we discuss in what ways Br$γ$ might be able to help constrain model parameters when treated as an input to the model, and comment on its potential as an accurate monochromatic SFR indicator in the era of JWST multiobject near-IR spectroscopy.