论文标题
我们如何测量星系灰尘衰减曲线?假定的恒星粉尘几何模型在SED配件中的影响
How Well Can We Measure Galaxy Dust Attenuation Curves? The Impact of the Assumed Star-Dust Geometry Model in SED Fitting
论文作者
论文摘要
推断星系衰减曲线的最常见方法之一是通过光谱能量分布(SED)建模,其中灰尘衰减特性是与其他星系物理特性同时建模的。在本文中,我们评估了SED建模从宽带光度法中推断出这些尘埃衰减曲线的能力,并提出了一种新的柔性模型,从而大大提高了衰减曲线的准确性。为此,我们拟合了Simba宇宙学模拟产生的模拟SED,并使用勘探者SED拟合代码。我们考虑了常见的均匀屏幕模型的影响,并引入了一个新的非均匀屏幕模型,该模型通过未遮挡的恒星光的比例来参数化。这种不均匀的屏幕模型允许恒星光的非零比例保持不损害,从而通过将紫外线衰减曲线的形状与光学衰减曲线解耦,从而产生更灵活的衰减曲线形状。使用不均匀的屏幕模型,限制灰尘衰减曲线的能力可显着提高,紫外线衰减的中位数从$ -0.30 $ DEX降低,均匀的屏幕型号均为$ -0.17 $ DEX,并具有非均匀屏幕模型。随着灰尘衰减建模精度的增加,我们还提高了通过不均匀屏幕模型推断出的恒星形成率(SFR),平均将SFR偏移量降低了0.12美元$ dex。我们讨论了这种新模型的功效,重点是建模星形盘状几何形状以及可用SED观测值的约束能力。
One of the most common methods for inferring galaxy attenuation curves is via spectral energy distribution (SED) modeling, where the dust attenuation properties are modeled simultaneously with other galaxy physical properties. In this paper, we assess the ability of SED modeling to infer these dust attenuation curves from broadband photometry, and suggest a new flexible model that greatly improves the accuracy of attenuation curve derivations. To do this, we fit mock SEDs generated from the Simba cosmological simulation with the Prospector SED fitting code. We consider the impact of the commonly-assumed uniform screen model and introduce a new non-uniform screen model parameterized by the fraction of unobscured stellar light. This non-uniform screen model allows for a non-zero fraction of stellar light to remain unattenuated, resulting in a more flexible attenuation curve shape by decoupling the shape of the UV attenuation curve from the optical attenuation curve. The ability to constrain the dust attenuation curve is significantly improved with the use of a non-uniform screen model, with the median offset in UV attenuation decreasing from $-0.30$ dex with a uniform screen model to $-0.17$ dex with the non-uniform screen model. With this increase in dust attenuation modeling accuracy, we also improve the star formation rates (SFRs) inferred with the non-uniform screen model, decreasing the SFR offset on average by $0.12$ dex. We discuss the efficacy of this new model, focusing on caveats with modeling star-dust geometries and the constraining power of available SED observations.