The density structure of molecular cloud scales: A fitting for N-PDF with multi log-normal functions

T. Murase, T. Handa, Ren Matsusaka, Y. Shimajiri, Masato I. N. Kobayashi, M. Kohno, J. Nishi, N. Takeba, Yosuke Shibata
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Abstract

Abstract We studied the probability distribution function of the column density (N-PDF) of molecular clouds based on a fit with a multi-log-normal function using the Nobeyama 45-m Cygnus X CO survey data. We identified 124 molecular clouds in 13CO data using the DENDROGRAM and SCIMES algorithms. The N-PDF was constructed for 11 extended (≥ 0.4 deg2) molecular clouds of these identified clouds. We found that every N-PDF is well-fitted with one or two log-normal (LN) distributions. We investigated the distributions of the column density, C18O dense cores, and radio continuum source in each cloud and found that the N-PDF was less correlated with the star-forming activity. The LN N-PDF parameters showed two impressive features. First, the LN distribution at the low-density part had the same mean column density (∼1021.5 cm−2 ) for almost all the molecular clouds. Second, the wider LN distribution tended to show the lower mean density of the structures.
分子云尺度的密度结构:N-PDF的多对数正态函数拟合
摘要利用Nobeyama 45-m Cygnus X CO观测数据,基于多对数正态函数拟合,研究了分子云柱密度(N-PDF)的概率分布函数。我们使用dendprogram和SCIMES算法在13CO数据中识别出124个分子云。构建了这些云的11个扩展(≥0.4℃)分子云的N-PDF。我们发现每个N-PDF都很好地拟合了一个或两个对数正态(LN)分布。我们研究了各云的柱密度、C18O致密核和射电连续源的分布,发现N-PDF与恒星形成活动的相关性较小。LN N-PDF参数显示了两个令人印象深刻的特征。首先,对于几乎所有的分子云,低密度部分的LN分布具有相同的平均柱密度(~ 1021.5 cm−2)。其次,LN分布越宽,结构的平均密度越低。
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