AI 中文总结
研究星际尘埃质量测定，通过为可变不透明度尘埃创建合成观测数据并用修正黑体模型拟合，量化温度依赖光学性质对拟合结果的影响，揭示幂律作为不透明度模型的局限性。
AI 中文摘要
准确测量星际尘埃质量是回答几个天体物理学问题的关键。一种常见的获取质量的方法是用修正黑体模型拟合尘埃的远红外热发射，但该方法存在一些系统误差。特别是，温度依赖的尘埃光学性质如何影响拟合结果很少受到关注。我们基于科学文献中光学性质的实验测量首次对这种影响进行了量化。我们为可变不透明度尘埃创建了一组合成观测数据，并用修正黑体模型进行拟合；合成观测数据的输入性质与拟合得出的值之间的差异提供了温度依赖性引起的偏差度量。我们发现固定不透明度幂律指数β会在拟合中引入温度依赖性偏差，而将β作为自由参数会引入主要取决于所用波长范围的偏差。例如，根据观测对象的性质和拟合程序的选择，仅温度依赖性就能在高红移（z ∼ 8）时使尘埃质量高估25 - 60%。我们的发现突出了幂律作为不透明度模型的局限性。
英文摘要
Accurate measurements of interstellar dust mass are key to answering several astrophysical questions. A common method of obtaining the mass is to fit the far-infrared thermal emission of the dust with a modified blackbody model; however, this method is subject to several systematics. In particular, how temperature-dependent dust optical properties affect fit results has received little attention. We provide the first quantification of this effect based on experimental measurements of optical properties from the scientific literature. We created a grid of synthetic observations for variable-opacity dust and fitted it with a modified blackbody model; the difference between the input properties of synthetic observations and the values derived from the fit provides a measure of the bias induced by the temperature dependence. We find that fixing the value of the opacity power law index $β$ introduces a temperature-dependent bias on the fit, while keeping $β$ as a free parameter introduces a bias that depends mainly on the wavelength range used. For instance, depending on the properties of the observed object and on the choice of fit procedure, temperature dependence alone can induce an overestimate of 25-60% in dust masses at high redshift ($z \sim 8$). Our findings highlight the limitations of power laws as opacity models.
Comments13 pages, 12 figures, accepted for publication in MNRAS
Journal refMon Not R Astron Soc (2026)
