The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
CALIBRATING EXTINCTION-FREE STAR FORMATION RATE DIAGNOSTICS WITH 33 GHz FREE-FREE EMISSION IN NGC 6946
Open accessAbstract
Using free–free emission measured in the Ka band (26–40 GHz) for 10 star-forming regions in the nearby galaxy NGC 6946, including its starbursting nucleus, we compare a number of star formation rate (SFR) diagnostics that are typically considered to be unaffected by interstellar extinction. These diagnostics include non-thermal radio (i.e., 1.4 GHz), total infrared (IR; 8–1000 μm), and warm dust (i.e., 24 μm) emission, along with hybrid indicators that attempt to account for obscured and unobscured emission from star-forming regions including Hα + 24 μm and UV + IR measurements. The assumption is made that the 33 GHz free–free emission provides the most accurate measure of the current SFR. Among the extranuclear star-forming regions, the 24 μm, Hα + 24 μm, and UV + IR SFR calibrations are in good agreement with the 33 GHz free–free SFRs. However, each of the SFR calibrations relying on some form of dust emission overestimates the nuclear SFR by a factor of ∼2 relative to the 33 GHz free–free SFR. This is more likely the result of excess dust heating through an accumulation of non-ionizing stars associated with an extended episode of star formation in the nucleus rather than increased competition for ionizing photons by dust. SFR calibrations using the non-thermal radio continuum yield values which only agree with the 33 GHz free–free SFRs for the nucleus and underestimate the SFRs from the extranuclear star-forming regions by an average factor of ∼2 and ∼4–5 before and after subtracting local background emission, respectively. This result likely arises from the cosmic-ray (CR) electrons decaying within the starburst region with negligible escape, whereas the transient nature of star formation in the young extranuclear star-forming complexes allows for CR electrons to diffuse significantly further than dust-heating photons, resulting in an underestimate of the true SFR. Finally, we find that the SFRs estimated using the total 33 GHz flux density appear to agree well with those estimated using free–free emission due to the large thermal fractions present at these frequencies even when local diffuse backgrounds are not removed. Thus, rest-frame 33 GHz observations may act as a reliable method to measure the SFRs of galaxies at increasingly high redshift without the need of ancillary radio data to account for the non-thermal emission.
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
Cites
Schlegel, D. J., Finkbeiner, D. P., & Davis, M. (1998) · The Astrophysical Journal · doi:10.1086/305772 · Cited by 15,126
On the variation of the initial mass function
Kroupa, P. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04022.x · Cited by 7,499
STAR FORMATION IN GALAXIES ALONG THE HUBBLE SEQUENCE
Kennicutt, R. C. (1998) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.astro.36.1.189 · Cited by 6,578
Self-citationAstronomical Data Analysis Software and Systems
Argyle, R. W., Bunclark, P., & Lewis, J. R. (2008) · Cited by 4,399
Starburst99: Synthesis Models for Galaxies with Active Star Formation
Leitherer, C., Schaerer, D., Goldader, J. D., Delgado, R. M. G., Robert, C., Kune, D. F., de Mello, D. F., Devost, D., & Heckman, T. M. (1999) · The Astrophysical Journal Supplement Series · doi:10.1086/313233 · Cited by 4,126
Star Formation in Galaxies Along the Hubble Sequence
Kennicutt, R. C., & Words, K. (1998) · Cited by 3,712
Self-citationHerschel Space Observatory: An ESA facility for far-infrared and submillimetre astronomy
Pilbratt, G. L., Riedinger, J. R., Passvogel, T., Crone, G., Doyle, D., Gageur, U., Heras, A. M., Jewell, C., Metcalfe, L., Ott, S., et al. (2010) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201014759 · Cited by 3,180
Weingartner, J. C., & Draine, B. T. (2001) · The Astrophysical Journal · doi:10.1086/318651 · Cited by 2,599
Self-citationDraine, B. T. (2003) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.astro.41.011802.094840 · Cited by 2,389
Self-citationRadio Emission from Normal Galaxies
Condon, J. J. (1992) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.aa.30.090192.003043 · Cited by 2,221
Self-citation
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
“…component can be separated with multi-frequency radio measurements or high-frequency data (e.g., Israel & van der Hulst 1983; Niklas et al. 1997; Murphy et al. 2011), to provide a photoionization-based measure of the SFR, without the complications of dust attenuation which are encountered with…”
BackgroundSelf-citationA HIGHLY CONSISTENT FRAMEWORK FOR THE EVOLUTION OF THE STAR-FORMING “MAIN SEQUENCE” FROM z ∼ 0-6
Speagle, J. S., Steinhardt, C. L., Capak, P. L., & Silverman, J. D. (2014) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/214/2/15 · Cited by 1,646
Eldridge, J. J., Stanway, E. R., Xiao, L., McClelland, L. A. S., Taylor, G., Ng, M., Greis, S. M. L., & Bray, J. C. (2017) · Publications of the Astronomical Society of Australia · doi:10.1017/pasa.2017.51 · Cited by 1,019
The Data Analysis Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey: Overview
Westfall, K. B., Cappellari, M., Bershady, M. A., Bundy, K., Belfiore, F., Ji, X., Law, D. R., Schaefer, A., Shetty, S., Tremonti, C. A., et al. (2019) · The Astronomical Journal · doi:10.3847/1538-3881/ab44a2 · Cited by 357
A z = 0 Multiwavelength Galaxy Synthesis. I. A WISE and GALEX Atlas of Local Galaxies
Leroy, A. K., Sandstrom, K. M., Lang, D., Lewis, A., Salim, S., Behrens, E. A., Chastenet, J., Chiang 江, I.-D. 宜., Gallagher, M. J., Kessler, S., et al. (2019) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/ab3925 · Cited by 319
Metadata
- Authors
- Murphy, E. J., Condon, J. J., Schinnerer, E., Kennicutt, R. C., Calzetti, D., Armus, L., Helou, G., Turner, J. L., Aniano, G., Beirão, P., Bolatto, A. D., Brandl, B. R., Croxall, K. V., Dale, D. A., Meyer, J. L. D., Draine, B. T., Engelbracht, C., Hunt, L. K., Hao, C.-N., Koda, J., Roussel, H., Skibba, R., & Smith, J.-D. T.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2011-08-04
- Volume
- 737
- Issue
- 2
- Pages
- 67
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2146026248
- Cited by
- 852
- References
- 90
- FWCI
- 13.83
- 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: CALIBRATING EXTINCTION-FREE STAR FORMATION RATE DIAGNOSTICS WITH 33 GHz FREE-FREE EMISSION IN NGC 6946. https://app.cochat.ai/papers/10.1088/0004-637x/737/2/67
- The paper
- Murphy, E. J., Condon, J. J., Schinnerer, E., Kennicutt, R. C., Calzetti, D., Armus, L., Helou, G., Turner, J. L., Aniano, G., Beirão, P., Bolatto, A. D., Brandl, B. R., Croxall, K. V., Dale, D. A., Meyer, J. L. D., Draine, B. T., Engelbracht, C., Hunt, L. K., Hao, C.-N., . . . Smith, J.-D. T. (2011). CALIBRATING EXTINCTION-FREE STAR FORMATION RATE DIAGNOSTICS WITH 33 GHz FREE-FREE EMISSION IN NGC 6946. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/737/2/67
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.