The Physical Drivers and Observational Tracers of CO-to-H2 Conversion Factor Variations in Nearby Barred Galaxy Centers

Authors: Yu-Hsuan Teng, Karin M. Sandstrom, Jiayi Sun, Munan Gong, Alberto D. Bolatto, I-Da Chiang, Adam K. Leroy, Antonio Usero, Simon C. O. Glover, Ralf S. Klessen, Daizhong Liu, Miguel Querejeta, Eva Schinnerer, Frank Bigiel, Yixian Cao, Melanie Chevance, Cosima Eibensteiner, Kathryn Grasha, Frank P. Israel, Eric J. Murphy, Lukas Neumann, Hsi-An Pan, Francesca Pinna, Mattia C. Sormani, J. D. T. Smith, Fabian Walter, Thomas G. Williams

arXiv: 2304.04732v1 - DOI (astro-ph.GA)
Accepted for publication in ApJ; 30 pages of main text + 3 appendices

Abstract: The CO-to-H2 conversion factor (αCO) is central to measuring the amount and properties of molecular gas. It is known to vary with environmental conditions, and previous studies have revealed lower αCO in the centers of some barred galaxies on kpc scales. To unveil the physical drivers of such variations, we obtained ALMA Band 3, 6, and 7 observations toward the inner 2 kpc of NGC 3627 and NGC 4321 tracing 12CO, 13CO, and C18O lines on 100 pc scales. Our multi-line modeling and Bayesian likelihood analysis of these datasets reveal variations of molecular gas density, temperature, optical depth, and velocity dispersion, which are among the key drivers of αCO. The central 300 pc nuclei in both galaxies show strong enhancement of temperature Tk>100 K and density nH2>103 cm3. Assuming a CO-to-H2 abundance of 3×104, we derive 4-15 times lower αCO than the Galactic value across our maps, which agrees well with previous kpc-scale measurements. Combining the results with our previous work on NGC 3351, we find a strong correlation of αCO with low-J 12CO optical depths (τCO), as well as an anti-correlation with Tk. The τCO correlation explains most of the αCO variation in the three galaxy centers, whereas changes in Tk influence αCO to second order. Overall, the observed line width and 12CO/13CO 2-1 line ratio correlate with τCO variation in these centers, and thus they are useful observational indicators for αCO variation. We also test current simulation-based αCO prescriptions and find a systematic overprediction, which likely originates from the mismatch of gas conditions between our data and the simulations.

Submitted to arXiv on 10 Apr. 2023

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