ATOMS: ALMA Three-millimeter Observations of massive Star-forming regions -XX. Probability distribution function of integrated intensity for dense molecular gas tracers
C.Zhang, Tie Liu, Sihan Jiao, Feng-Yao Zhu, Z.-Y. Ren, H.-L. Liu, Ke, Wang, J.-W. Wu, D. Li, P. Garc\'ia, Guido Garay, Leonardo Bronfman, Mika, Juvela, Swagat das, Chang Won Lee, Feng-Wei Xu, L. V. T\'oth, Prasanta Gorai,, Patricio Sanhueza

TL;DR
This study analyzes the probability distribution functions of molecular line intensities in massive star-forming regions, revealing different tracer efficiencies and their relation to star formation activity.
Contribution
It introduces the use of combined log-normal and power-law models for molecular line intensity PDFs and compares their effectiveness as dense gas tracers.
Findings
H13CN and HC3N are better tracers of gravitationally bound dense gas.
Lbol-Lmol(p) relationships are sublinear for HCN and HCO+ but linear for H13CN and HC3N.
Star formation efficiency weakly anti-correlates with the power-law index and density distribution exponent.
Abstract
We report the observations of J=1-0 of HCN, HCO+, H13CO+, and H13CN, HC3N (J=11-10) emission towards 135 massive star-forming clumps, as part of the ATOMS (ALMA Three-millimeter Observations of Massive Star-forming regions) Survey. We present the integrated intensity probability distribution function for these molecular tracers, modeled as a combination of a log-normal distribution and a power-law tail. The molecular line luminosities for the power-law tail segment, Lmol(p), have been calculated. We have investigated the correlation between the bolometric luminosity, Lbol, and the power-law part of the molecular line luminosity, Lmol(p). Our findings suggest that the scaling relationships between Lbol and Lmol(p) for HCN and HCO+ are sublinear, indicating that these molecules might not be the most effective tracers for the dense gas. In contrast, H13CN and HC3N exhibit a nearly linear…
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Taxonomy
TopicsAtmospheric Ozone and Climate · Spectroscopy and Laser Applications · Molecular Spectroscopy and Structure
