The DOI matches its Crossref record.
Modelling CO emission - I. CO as a column density tracer and the X factor in molecular clouds: Modelling CO emission from MCs
Open accessAbstract
Theoretical and observational investigations have indicated that the abundance of carbon monoxide (CO) is very sensitive to intrinsic properties of the gaseous medium, such as density, metallicity and the background radiation field. CO observations are often employed to study the properties of molecular clouds (MCs), such as mass, morphology and kinematics. It is thus important to understand how well CO traces the total mass, which in MCs is predominantly due to molecular hydrogen (H2). Recent hydrodynamic simulations by Glover & Mac Low have explicitly followed the formation and destruction of molecules in model MCs under varying conditions. These models have confirmed that CO formation strongly depends on the cloud properties. Conversely, the formation of H2 is primarily determined by the amount of time available for its formation. We apply radiative transfer calculations to these MC models in order to investigate the properties of CO line emission. We focus on integrated CO (J= 1–0) intensities emerging from individual clouds, including its relationship to the total, H2 and CO column densities, as well as the ‘X factor,’ the ratio of H2 column density to CO intensity. Models with high CO abundances have a threshold CO intensity of ≈65 K km s−1 at sufficiently large extinctions (or column densities). Clouds with low CO abundances show no such intensity thresholds. The distributions of total and H2 column densities are well described as lognormal functions, though the distributions of CO intensities and column densities are usually not lognormal. In general, the probability distribution functions of the integrated intensity do not follow the distribution functions of CO column densities. In the model with Milky Way-like conditions, the X factor is in agreement with the near-constant value determined from observations. In clouds with lower metallicity, lower density or a higher background UV radiation field, the CO abundances are in general lower, and hence the X factor can vary appreciably – sometimes by up to 4 orders of magnitude. In models with high densities, the CO line is fully saturated, so that the X factor is directly proportional to the molecular column density.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Star Formation in the Milky Way and Nearby Galaxies
Kennicutt, R. C., & Evans, N. J. (2012) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-081811-125610 · Cited by 2,902
“…the picture at this point is that measuring the extent of the brick wall will not tell you anything about particularly deep or dense extensions of the building, but if the buildings are similar, the extent of the wall is a rough guide to the total mass of the building (cf. Shetty et al. 2011b).”
BackgroundInfluentialCool Gas in High-Redshift Galaxies
Carilli, C. L., & Walter, F. (2013) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-082812-140953 · Cited by 1,107
Dusty star-forming galaxies at high redshift
Casey, C. M., Narayanan, D., & Cooray, A. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.02.009 · Cited by 800
Narayanan, D., Krumholz, M. R., Ostriker, E. C., & Hernquist, L. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.20536.x · Cited by 383
Krumholz, M. R. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.02.001 · Cited by 321
Metadata
- Authors
- Shetty, R., Glover, S. C., Dullemond, C. P., & Klessen, R. S.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01-06
- Volume
- 412
- Issue
- 3
- Pages
- 1686-1700
- ISSN
- 0035-8711 (ISSN-L)
- OpenAlex
- W2952192892
- Cited by
- 194
- References
- 0
- FWCI
- 14.86
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modelling CO emission - I. CO as a column density tracer and the X factor in molecular clouds: Modelling CO emission from MCs. https://app.cochat.ai/papers/10.1111/j.1365-2966.2010.18005.x
- The paper
- Shetty, R., Glover, S. C., Dullemond, C. P., & Klessen, R. S. (2011). Modelling CO emission - I. CO as a column density tracer and the X factor in molecular clouds: Modelling CO emission from MCs. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2010.18005.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.