Recovering the Physical Properties of Molecular Gas in Galaxies from CO SLED Modeling

TL;DR

This paper evaluates how well CO SLED modeling can recover the physical conditions of molecular gas in galaxies using simulated data, highlighting limitations and potential for bulk property estimation.

Contribution

It demonstrates that simple CO SLED models can approximate luminosity-weighted gas properties from galaxy simulations, despite underlying complexities.

Findings

Single-component models closely match luminosity-weighted properties.

Modeling only the first three lines increases uncertainty.

SLED modeling can distinguish bulk properties related to star formation.

Abstract

Modeling of the spectral line energy distribution (SLED) of the CO molecule can reveal the physical conditions (temperature, density) of molecular gas in Galactic clouds and other galaxies. Recently, the Herschel Space Observatory and ALMA have offered, for the first time, a comprehensive view of the rotational J = 4-3 through J = 13-12 lines, which arise from a complex, diverse range of physical conditions that must be simplified to one, two, or three components when modeled. Here we investigate the recoverability of physical conditions from SLEDs produced by galaxy evolution simulations containing a large dynamical range in physical properties. These simulated SLEDs were generally fit well by one component of gas whose properties largely resemble or slightly underestimate the luminosity-weighted properties of the simulations when clumping due to non-thermal velocity dispersion is taken into account. If only modeling the first three rotational lines, the median values of the marginalized parameter distributions better represent the luminosity-weighted properties of the simulations, but the uncertainties in the fitted parameters are nearly an order of magnitude, compared to approximately 0.2 dex in the "best-case" scenario of a fully sampled SLED through J = 10-9. This study demonstrates that while common CO SLED modeling techniques cannot reveal the underlying complexities of the molecular gas, they can distinguish bulk luminosity-weighted properties that vary with star formation surface densities and galaxy evolution, if a sufficient number of lines are detected and modeled.