Quantitative analysis of the molecular gas morphology in nearby disk galaxies

Abstract We present a quantitative and statistical analysis of the molecular gas morphology in 73 nearby galaxies using high spatial resolution CO (J = 2–1) data obtained from the Atacama Large Millimeter/submillimeter Array (ALMA) by the PHANGS large program. We applied three model-independent parameters: concentration (C), asymmetry (A), and clumpiness (S), which are commonly used to parametrize the optical and infrared morphology of galaxies. We find a clear apparent correlation between A and S, with a Spearman’s rank correlation coefficient of 0.52 with a p-value of $2\times 10^{-6}$. This suggests a higher abundance of molecular clumps (i.e., giant molecular cloud associations) in galaxies that display stronger distortion or biased large-scale molecular gas distribution. In addition, the analysis of the C parameter suggests high central molecular concentration in most barred spiral galaxies investigated in this study. Furthermore, we found a positive correlation between the length of the bar structure ($R_\mathrm{bar}/R_{25}$) and the C parameter, with a Spearman’s rank correlation coefficient of 0.63 with a p-value of $3.8 \times 10^{-5}$, suggesting that a larger bar structure can facilitate overall molecular gas transport and yield a higher central concentration than galaxies with shorter bars. Finally, we offer a possible classification scheme for nearby disk galaxies based on the CAS parameters of molecular gas.

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Publication Details

Journal
Publications of the Astronomical Society of Japan
Published
2025-02-04
DOI
https://doi.org/10.1093/pasj/psae116
Citations
2
Primary Topic
Astrophysics and Star Formation Studies
Type
article
Field-Weighted Citation Impact
2.31

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article

Quantitative analysis of the molecular gas morphology in nearby disk galaxies

Takashi Yamamoto, Sophia K. Stuber, Toshiki Saito, Nario Kuno et al.
2 citations
Publications of the Astronomical Society of Japan
Astrophysics and Star Formation Studies
2.31
article

Quantitative analysis of the molecular gas morphology in nearby disk galaxies

Takashi Yamamoto, Sophia K. Stuber, Toshiki Saito, Nario Kuno, Thomas G. Williams, Daisuke Iono, Daizhong Liu
article en
2 citations

Abstract

Abstract We present a quantitative and statistical analysis of the molecular gas morphology in 73 nearby galaxies using high spatial resolution CO (J = 2–1) data obtained from the Atacama Large Millimeter/submillimeter Array (ALMA) by the PHANGS large program. We applied three model-independent parameters: concentration (C), asymmetry (A), and clumpiness (S), which are commonly used to parametrize the optical and infrared morphology of galaxies. We find a clear apparent correlation between A and S, with a Spearman’s rank correlation coefficient of 0.52 with a p-value of $2\times 10^{-6}$. This suggests a higher abundance of molecular clumps (i.e., giant molecular cloud associations) in galaxies that display stronger distortion or biased large-scale molecular gas distribution. In addition, the analysis of the C parameter suggests high central molecular concentration in most barred spiral galaxies investigated in this study. Furthermore, we found a positive correlation between the length of the bar structure ($R_\mathrm{bar}/R_{25}$) and the C parameter, with a Spearman’s rank correlation coefficient of 0.63 with a p-value of $3.8 \times 10^{-5}$, suggesting that a larger bar structure can facilitate overall molecular gas transport and yield a higher central concentration than galaxies with shorter bars. Finally, we offer a possible classification scheme for nearby disk galaxies based on the CAS parameters of molecular gas.

Publications of the Astronomical Society of JapanVol. 77(2)
Shizuoka University (JP), University of Tsukuba (JP), Purple Mountain Observatory (CN), University of Oxford (GB), Max Planck Institute for Astronomy (DE), National Astronomical Observatory of Japan (JP)
National Astronomical Observatory of Japan
Openalex Percentile: Top 13%
Astrophysics and Star Formation Studies
2.31
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