Gas Column Density Distribution of Molecular Clouds in the Third Quadrant of the Milky Way
Yuehui Ma, Hongchi Wang, Miaomiao Zhang, Chen Wang, Shaobo Zhang, Yao, Liu, Chong Li, Yuqing Zheng, Lixia Yuan, Ji Yang

TL;DR
This study maps and analyzes the column density distributions of 120 molecular clouds in the Milky Way's third quadrant, revealing their statistical properties, classifications, and correlations with physical parameters, consistent with simulation predictions.
Contribution
It provides the first comprehensive analysis of N-PDFs for a large, unbiased sample of molecular clouds in this galactic region, classifying their shapes and exploring their physical correlations.
Findings
72% of clouds have log-normal N-PDFs
Power-law tail presence correlates with star formation activity
N-PDF width scales with average column density
Abstract
We have obtained column density maps for an unbiased sample of 120 molecular clouds in the third quadrant of the Milky Way mid-plane (b) within the galactic longitude range from 195 to 225, using the high sensitivity CO and CO () data from the Milky Way Imaging Scroll Painting (MWISP) project. The probability density functions of the molecular hydrogen column density of the clouds, N-PDFs, are fitted with both log-normal (LN) function and log-normal plus power-law (LN+PL) function. The molecular clouds are classified into three categories according to their shapes of N-PDFs, i.e., LN, LN+PL, and UN (unclear), respectively. About 72\% of the molecular clouds fall into the LN category, while 18\% and 10\% into the LN+PL and UN categories, respectively. A power-law scaling relation, , exists between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
