Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 472

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The BIMA Survey of Nearby Galaxies (BIMA SONG). II. The CO Data

Open access
Helfer, Tamara T., Thornley, Michele D., Regan, Michael W., Wong, Tony, Sheth, Kartik, Vogel, Stuart N., Blitz, Leo, Bock, Douglas C.‐J.·2003·The Astrophysical Journal Supplement Series

Abstract

The BIMA Survey of Nearby Galaxies is a systematic imaging study of the 3 mm CO J = 1-0 molecular emission within the centers and disks of 44 nearby spiral galaxies. The typical spatial resolution of the survey is 6'' or 360 pc at the average distance (12 Mpc) of the sample. The velocity resolution of the CO observations is 4 km s -1 , though most maps are smoothed to 10 km s -1 resolution. For 33 galaxies, multifield observations ensured that a region ≳190'' (〈 D 〉 = 10 kpc) in diameter was imaged. For the remaining 11 galaxies, which had smaller optical diameters and were on average farther away, single-pointing observations imaged a 100'' diameter (〈 D 〉 = 11 kpc) region. The sample was not chosen based on CO or infrared brightness; instead, all spirals were included that met the selection criteria of v ⊙ ≤ 2000 km s -1 , δ ≥ -20°, i ≤ 70°, D 25 < 70', and B T < 11.0. The detection rate was 41/44 sources or 93%; of the three nondetections, one (M81) is known to have CO emission at locations outside the survey field of view. Fully sampled single-dish CO data were incorporated into the maps for 24 galaxies; these single-dish data comprise the most extensive collection of fully sampled, two-dimensional single-dish CO maps of external galaxies to date. We also tabulate direct measurements of the global CO flux densities for these 24 sources. For the remaining 20 sources, we collected sensitive single-dish spectra in order to evaluate the large-scale flux recovery. We demonstrate that the measured ratios of flux density recovered are a function of the signal-to-noise of the interferometric data. We examine the degree of central peakedness of the molecular surface density distributions and show that the distributions exhibit their brightest CO emission within the central 6'' in only 20/44 or 45% of the sample. We show that all three Local Group spiral galaxies have CO morphologies that are represented in SONG, though the Milky Way CO luminosity is somewhat below the SONG average, and M31 and M33 are well below average. This survey provides a unique public database of integrated intensity maps, channel maps, spectra, and velocity fields of molecular emission in nearby galaxies. It also lays the groundwork for extragalactic surveys by more powerful future millimeter-wavelength interferometers like CARMA and ALMA.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1086/346076

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

  • Understanding the kinematics of Galactic Centre gas

    Binney, J., Gerhard, O. E., Stark, A. A., Bally, J., & Uchida, K. I. (1991) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/252.2.210 · Cited by 619 · cited 17×

    “The Milky Way would clearly have been detected at the average distance of the survey, though it would have been below the average brightness at that distance.”
    BackgroundInfluential

Show all 1 references

Cited by

See all 472

Metadata

Authors
Helfer, T. T., Thornley, M. D., Regan, M. W., Wong, T., Sheth, K., Vogel, S. N., Blitz, L., & Bock, D. C. ‐.
Venue
The Astrophysical Journal Supplement Series
Published
2003-04
Volume
145
Issue
2
Pages
259-327
ISSN
  • 0067-0049 (ISSN-L)
  • 1538-4365
OpenAlex
W2146225322
Cited by
472
References
1
FWCI
17.01
Type
journal article
Language
en
Open access
green

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: The BIMA Survey of Nearby Galaxies (BIMA SONG). II. The CO Data. https://app.cochat.ai/papers/10.1086/346076
The paper
Helfer, T. T., Thornley, M. D., Regan, M. W., Wong, T., Sheth, K., Vogel, S. N., Blitz, L., & Bock, D. C. ‐. (2003). The BIMA Survey of Nearby Galaxies (BIMA SONG). II. The CO Data. The Astrophysical Journal Supplement Series. https://doi.org/10.1086/346076

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.