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arXiv 1807.04286astro-ph.GAastro-ph.SR
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HP2调查- IV。烟斗星云:致密核心中的有效尘埃温度

The HP2 Survey - IV. The Pipe nebula: Effective dust temperatures in dense cores

Birgit Hasenberger, Marco Lombardi, João Alves, Jan Forbrich, Alvaro Hacar, Charles J. Lada

摘要:

亚毫米波段的多波长观测提供了分子云中尘埃柱密度和有效尘埃温度分布的信息。在这项研究中,我们创建了烟斗星云区域的高分辨率和高动态范围地图,并探索了尘埃温度测量的价值,特别是对嵌入云中的致密核心。这些地图是基于赫歇尔和普朗克卫星的数据,并根据2 MASS观测的近红外消光图进行校准。我们已经考虑了以前定义的核心的样本,发现大多数核心区域包含至少一个局部温度最低值。此外,我们观察到柱密度和温度之间的反相关性。这种反相关性的斜率取决于区域边界,如果系统效应得到适当解决,则可以用作区分云中密集区和扩散区的度量。因此,利用尘埃温度数据,我们可以得出结论,在这个样本的核心,由星际辐射场的外部加热和周围介质的屏蔽的热量占主导地位的过程。此外,我们已经采取了第一步的物理动机的核心定义,认识到列密度温度反相关性是敏感的核心边界。因此,尘埃-温度图清楚地包含了关于观测介质物理状态的宝贵信息。

英文摘要:

Multi-wavelength observations in the sub-mm regime provide information on the distribution of both the dust column density and the effective dust temperature in molecular clouds. In this study, we created high-resolution and high-dynamic-range maps of the Pipe nebula region and explored the value of dust-temperature measurements in particular towards the dense cores embedded in the cloud. The maps are based on data from the Herschel and Planck satellites, and calibrated with a near-infrared extinction map based on 2MASS observations. We have considered a sample of previously defined cores and found that the majority of core regions contain at least one local temperature minimum. Moreover, we observed an anti-correlation between column density and temperature. The slope of this anti-correlation is dependent on the region boundaries and can be used as a metric to distinguish dense from diffuse areas in the cloud if systematic effects are addressed appropriately. Employing dust-temperature data thus allows us to draw conclusions on the thermodynamically dominant processes in this sample of cores: external heating by the interstellar radiation field and shielding by the surrounding medium. In addition, we have taken a first step towards a physically motivated core definition by recognising that the column-density-temperature anti-correlation is sensitive to the core boundaries. Dust-temperature maps therefore clearly contain valuable information about the physical state of the observed medium.

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