2021
DOI: 10.1051/0004-6361/202039768
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Distances to molecular clouds in the second Galactic quadrant

Abstract: We present distances to 76 medium-sized molecular clouds and an extra large-scale molecular cloud in the second Galactic quadrant (104. °75 < l < 150. °25 and |b| < 5. °25), 73 of which are accurately measured for the first time. Molecular cloud samples are drawn from l-b-V space (− 95 < VLSR < 25 km s−1) with the density-based spatial clustering of applications with noise algorithm, and distances are measured with the background-eliminated extinction-parallax method using extinctions and Gaia D… Show more

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Cited by 18 publications
(29 citation statements)
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“…With the same method, Yan et al (2020) determined the distances for 28 local molecular clouds (d < 1.5 kpc, here d is the distance to the Sun) in the first Galactic quadrant. The distances for 76 molecular clouds were measured in the second Galactic quadrant by Yan et al (2021). Based on a sample of over 32 million stars with color excesses and Gaia distances, Chen et al (2019b) constructed new three-dimensional dust reddening maps of the Milky Way.…”
Section: Giant Molecular Cloudsmentioning
confidence: 99%
“…With the same method, Yan et al (2020) determined the distances for 28 local molecular clouds (d < 1.5 kpc, here d is the distance to the Sun) in the first Galactic quadrant. The distances for 76 molecular clouds were measured in the second Galactic quadrant by Yan et al (2021). Based on a sample of over 32 million stars with color excesses and Gaia distances, Chen et al (2019b) constructed new three-dimensional dust reddening maps of the Milky Way.…”
Section: Giant Molecular Cloudsmentioning
confidence: 99%
“…The extracting method we used was developed by Yan et al (2020), based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which was originally designed to discover clusters of arbitrary shape (Ester et al 1996). Yan et al (2021a) has completed the identification of molecular clouds using the DBSCAN algorithm in the second Galactic quadrant with 104.75 • < l < 150.25 • , |b| < 5.25 • , and −95 km s −1 < V LSR < 25 km s −1 . We check the averaged 12 CO(1-0) line profile and the velocity-integrated intensity map for each cloud, 18190 out of 18503 molecular clouds can be used for further analysis.…”
Section: An Unbiased Catalog Of Molecular Cloudsmentioning
confidence: 99%
“…The typical range of each parameter, which is from the quantile of 0.25 to 0.75 in its sequential data, has been listed in Table 2. Although Yan et al (2021a) has calculated the dis-tance of 76 molecular clouds in this catalog, most of the molecular clouds in this catalog do not have the available distance information. Thus, we group the 18190 molecular clouds into two parts, corresponding to the near and far ranges, respectively.…”
Section: An Unbiased Catalog Of Molecular Cloudsmentioning
confidence: 99%
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