The Structure of Molecular Gas in PHANGS-ALMA Galaxies: Cloud Spacing, Two-Point Correlation and Stacked Intensity Profiles
Hao He, Adam Leroy, Erik Rosolowsky, Annie Hughes, Jiayi Sun, Joshua Machado, Frank Bigiel, Ashley Barnes, Zein Bazzi, Yixian Cao, Melanie Chevance, Dario Colombo, Simon C. O. Glover, Jonathan D. Henshaw, Eric W. Koch, Sharon E. Meidt, Hsi-An Pan, Toshiki Saito

TL;DR
This study quantitatively analyzes the spatial distribution and clustering of giant molecular clouds in 40 galaxies, revealing how galactic structure influences GMC formation and clustering patterns.
Contribution
It provides a comprehensive statistical characterization of GMC spatial structure across multiple scales using a large galaxy sample, accounting for observational biases.
Findings
GMC clustering follows large-scale gas distribution.
Stacked CO profiles reveal extended emission beyond GMC sizes.
Massive, bound GMCs are more strongly clustered and associated with local gas density.
Abstract
The sub-kpc scale gas structure encodes key information of giant molecular cloud (GMC) formation. Therefore, we aim for a quantitative description of molecular gas structure across 150-1000 pc using a sample of 8984 GMCs from 40 galaxies observed by PHANGS-ALMA. We homogenize our data to a fixed resolution of 150 pc and mass sensitivity of 2.5 M pc to remove observational bias. We then calculate nearest neighbour distances, neighbour number density, and two-point correlation functions for the catalogued GMCs. When analysing the two-point correlation function, we generate several control samples that reflect different null hypotheses on large spatial scales. We stack integrated intensity CO emission profiles around the position of catalogued GMCs to probe the gas distribution on scales between the resolution limit and the typical GMC-GMC spacing. Our measurements of…
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.
