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Identification and Distance Measurement of Dust Clouds at High Latitude by a Clustering Hierarchical Algorithm

Authors :
Mingxu Sun
Biwei Jiang
Helong Guo
Wenyuan Cui
Source :
The Astronomical Journal, Vol 168, Iss 5, p 203 (2024)
Publication Year :
2024
Publisher :
IOP Publishing, 2024.

Abstract

We present a catalog of dust clouds at high Galactic latitude based on the Planck 857 GHz dust emission data. Using a clustering hierarchical algorithm, 315 dust clouds at high Galactic latitudes are identified. Additionally, using the optical and ultraviolet extinction of 4 million and 1 million stars, respectively, provided by Sun et al., we derive the distances and physical properties for 190 high Galactic latitude dust clouds and the ultraviolet excess ratios for 165 of them. Through the study of color excess ratios, this work confirms that molecular clouds with large Galactic distances and low extinction likely have a higher proportion of small-sized dust grains. In addition, clouds with well-defined distances in the catalog are used to trace the Local Bubble, showing good consistency with the boundary of the Local Bubble from the literature.

Details

Language :
English
ISSN :
15383881
Volume :
168
Issue :
5
Database :
Directory of Open Access Journals
Journal :
The Astronomical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.8c758f8cffbb46b38d5b3f605fbc8368
Document Type :
article
Full Text :
https://doi.org/10.3847/1538-3881/ad7b2f