FacetClumps: A Facet-based Molecular Clump Detection Algorithm Article Swipe
Yu Jiang
,
Zhiwei Chen
,
Sheng Zheng
,
Zhibo Jiang
,
Yao Huang
,
Shuguang Zeng
,
Xiangyun Zeng
,
Xiaoyu Luo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3847/1538-4365/acda89
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3847/1538-4365/acda89
A comprehensive understanding of molecular clumps is essential for investigating star formation. We present an algorithm for molecular clump detection, called FacetClumps. This algorithm uses a morphological approach to extract signal regions from the original data. The Gaussian facet model is employed to fit the signal regions, which enhances the resistance to noise and the stability of the algorithm in diverse overlapping areas. The introduction of the extremum determination theorem of multivariate functions offers theoretical guidance for automatically locating clump centers. To guarantee that each clump is continuous, the signal regions are segmented into local regions based on gradient, and then the local regions are clustered into the clump centers based on connectivity and minimum distance to identify the regional information of each clump. The experiments conducted with both simulated and synthetic data demonstrate that FacetClumps exhibits great recall and precision rates, small location error and flux loss, and a high consistency between the region of detected clump and that of simulated clump, and the experiments demonstrate that FacetClumps is generally stable in various environments. Notably, the recall rate of FacetClumps in the synthetic data, which comprises 13 CO ( J = 1−0) emission line of the MWISP within 11.°7 ≤ l ≤ 13.°4, 0.°22 ≤ b ≤ 1.°05, and 5 km s −1 ≤ v ≤ 35 km s −1 and simulated clumps, reaches 90.2%. Additionally, FacetClumps demonstrates satisfactory performance when applied to observational data.
Related Topics
Concepts
Physics
Astrophysics
Algorithm
Facet (psychology)
Consistency (knowledge bases)
SIGNAL (programming language)
Gaussian
Line (geometry)
Statistical physics
Artificial intelligence
Geometry
Computer science
Mathematics
Big Five personality traits
Personality
Quantum mechanics
Social psychology
Psychology
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3847/1538-4365/acda89
- https://iopscience.iop.org/article/10.3847/1538-4365/acda89/pdf
- OA Status
- gold
- Cited By
- 7
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385420171
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385420171Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3847/1538-4365/acda89Digital Object Identifier
- Title
-
FacetClumps: A Facet-based Molecular Clump Detection AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-31Full publication date if available
- Authors
-
Yu Jiang, Zhiwei Chen, Sheng Zheng, Zhibo Jiang, Yao Huang, Shuguang Zeng, Xiangyun Zeng, Xiaoyu LuoList of authors in order
- Landing page
-
https://doi.org/10.3847/1538-4365/acda89Publisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.3847/1538-4365/acda89/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://iopscience.iop.org/article/10.3847/1538-4365/acda89/pdfDirect OA link when available
- Concepts
-
Physics, Astrophysics, Algorithm, Facet (psychology), Consistency (knowledge bases), SIGNAL (programming language), Gaussian, Line (geometry), Statistical physics, Artificial intelligence, Geometry, Computer science, Mathematics, Big Five personality traits, Personality, Quantum mechanics, Social psychology, Psychology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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