Ample evidence exists regarding supernovae being a major contributor to interstellar dust. In this work, the deepest far-infrared observations of the Crab Nebula are used to revisit the estimation of} the dust mass present in this supernova remnant. Images in filters between 70 and 500 $\mu$m taken by the PACS and SPIRE instruments on-board of the Herschel Space Observatory are used. With an automated approach we constructed the spectral energy distribution of the Crab nebula to recover the dust mass. This approach makes use of several image processing techniques (thresholding, morphological processes, contouring, etc..) to objectively separate the nebula from its surrounding background. After subtracting the non-thermal synchrotron component from the integrated fluxes, the spectral energy distribution is found to be best fitted using a single modified blackbody of temperature $T=42.06\pm1.14$ K and a dust mass of $M_{d}=0.056\pm0.037$ M$_{\odot}$. In this paper, we show the importance of the photometric analysis and spectral energy distribution construction in the inference of the dust mass of the Crab nebula.

中文翻译：

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蟹状星云光度计和尘埃质量计算的自动化方法

关于超新星是星际尘埃的主要贡献者，存在大量证据。在这项工作中，蟹状星云最深的远红外观测被用来重新估计}这个超新星遗迹中存在的尘埃质量。使用了赫歇尔空间天文台的 PACS 和 SPIRE 仪器在 70 到 500 美元之间的过滤器中的图像。通过自动化方法，我们构建了蟹状星云的光谱能量分布以恢复尘埃质量。这种方法利用几种图像处理技术（阈值、形态处理、轮廓等）来客观地将星云与其周围的背景分开。从积分通量中减去非热同步加速器分量后，发现光谱能量分布最适合使用温度 $T=42.06\pm1.14$ K 和尘埃质量 $M_{d}=0.056\pm0.037$ M$_{\dot }$。在本文中，我们展示了光度分析和光谱能量分布构建在推断蟹状星云尘埃质量中的重要性。