English

Feeding cosmic star formation: Exploring high-redshift molecular gas with CO intensity mapping

Astrophysics of Galaxies 2017-05-18 v2 Cosmology and Nongalactic Astrophysics

Abstract

The study of molecular gas is crucial for understanding star formation, feedback, and the broader ecosystem of a galaxy as a whole. However, we have limited understanding of its physics and distribution in all but the nearest galaxies. We present a new technique for studying the composition and distribution of molecular gas in high-redshift galaxies inaccessible to existing methods. Our proposed approach is an extension of carbon monoxide intensity mapping methods, which have garnered significant experimental interest in recent years. These intensity mapping surveys target the 115 GHz 12^{12}CO (1-0) line, but also contain emission from the substantially fainter 110 GHz 13^{13}CO (1-0) transition. The method leverages the information contained in the 13^{13}CO line by cross-correlating pairs of frequency channels in an intensity mapping survey. Since 13^{13}CO is emitted from the same medium as the 12^{12}CO, but saturates at a much higher column density, this cross-correlation provides valuable information about both the gas density distribution and isotopologue ratio, inaccessible from the 12^{12}CO alone. Using a simple model of these molecular emission lines, we show that a future intensity mapping survey can constrain the abundance ratio of these two species and the fraction of emission from optically thick regions to order 30%\sim30\%. These measurements cannot be made by traditional CO observations, and consequently the proposed method will provide unique insight into the physics of star formation, feedback, and galactic ecology at high redshifts.

Keywords

Cite

@article{arxiv.1606.07820,
  title  = {Feeding cosmic star formation: Exploring high-redshift molecular gas with CO intensity mapping},
  author = {Patrick C. Breysse and Mubdi Rahman},
  journal= {arXiv preprint arXiv:1606.07820},
  year   = {2017}
}

Comments

11 pages, 4 figures, Published in MNRAS

R2 v1 2026-06-22T14:33:54.635Z