Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions

Recent high-resolution observations at millimeter (mm) and submillimeter wavelengths reveal a diverse spatial distribution for subparsec-scale dense cores within star-forming regions, ranging from clustered to aligned arrangements. To address the increasing volume of observational and simulation dat...

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Main Authors: Wei-An Chen, Ya-Wen Tang, S. D. Clarke, Patricio Sanhueza
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/ad9a5b
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author Wei-An Chen
Ya-Wen Tang
S. D. Clarke
Patricio Sanhueza
author_facet Wei-An Chen
Ya-Wen Tang
S. D. Clarke
Patricio Sanhueza
author_sort Wei-An Chen
collection DOAJ
description Recent high-resolution observations at millimeter (mm) and submillimeter wavelengths reveal a diverse spatial distribution for subparsec-scale dense cores within star-forming regions, ranging from clustered to aligned arrangements. To address the increasing volume of observational and simulation data, we introduce “alignment parameters” as a quantitative and reproducible method to automatically assess core alignment. We first demonstrate the effectiveness of these parameters by applying them to artificial test clumps and comparing the results with labels from visual inspection. A threshold value is then proposed to differentiate between “clustered” and “aligned” categories. Subsequently, we apply these parameters to dense cores identified from a sample of Atacama Large Millimeter/submillimeter Array 1.3 mm dust continuum images in high-mass star-forming regions. Analysis exploring correlations between alignment parameters and clump properties rules out the presence of a moderate or strong correlation, indicating that clump properties do not appear to strongly influence the outcome of fragmentation. One possible explanation for this is that the fragmentation process is chaotic, meaning that small variations in initial conditions can lead to significant differences in fragmentation outcomes, thus obscuring any direct link between clump properties and core alignment/distribution.
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spelling doaj-art-c854028bfb6c4a97961103ca23387e702025-01-17T09:07:13ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-0197916710.3847/1538-4357/ad9a5bAlignment Parameters: Quantifying Dense Core Alignment in Star-forming RegionsWei-An Chen0https://orcid.org/0000-0002-8336-2837Ya-Wen Tang1https://orcid.org/0000-0002-0675-276XS. D. Clarke2https://orcid.org/0000-0001-9751-4603Patricio Sanhueza3https://orcid.org/0000-0002-7125-7685Graduate Institute of Astrophysics, National Taiwan University , No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan, ROC ; wachen@asiaa.sinica.edu.tw; Institute of Astronomy and Astrophysics , Academia Sinica, 11F of Astronomy-Mathematics Building, No. 1, Sec. 4, Roosevelt Rd., Taipei 106319, Taiwan, ROCInstitute of Astronomy and Astrophysics , Academia Sinica, 11F of Astronomy-Mathematics Building, No. 1, Sec. 4, Roosevelt Rd., Taipei 106319, Taiwan, ROCInstitute of Astronomy and Astrophysics , Academia Sinica, 11F of Astronomy-Mathematics Building, No. 1, Sec. 4, Roosevelt Rd., Taipei 106319, Taiwan, ROCDepartment of Earth and Planetary Sciences, Tokyo Institute of Technology , Meguro, Tokyo 152-8551, Japan; National Astronomical Observatory of Japan, National Institutes of Natural Sciences , 2-21-1 Osawa, Mitaka, Tokyo 181-8588, JapanRecent high-resolution observations at millimeter (mm) and submillimeter wavelengths reveal a diverse spatial distribution for subparsec-scale dense cores within star-forming regions, ranging from clustered to aligned arrangements. To address the increasing volume of observational and simulation data, we introduce “alignment parameters” as a quantitative and reproducible method to automatically assess core alignment. We first demonstrate the effectiveness of these parameters by applying them to artificial test clumps and comparing the results with labels from visual inspection. A threshold value is then proposed to differentiate between “clustered” and “aligned” categories. Subsequently, we apply these parameters to dense cores identified from a sample of Atacama Large Millimeter/submillimeter Array 1.3 mm dust continuum images in high-mass star-forming regions. Analysis exploring correlations between alignment parameters and clump properties rules out the presence of a moderate or strong correlation, indicating that clump properties do not appear to strongly influence the outcome of fragmentation. One possible explanation for this is that the fragmentation process is chaotic, meaning that small variations in initial conditions can lead to significant differences in fragmentation outcomes, thus obscuring any direct link between clump properties and core alignment/distribution.https://doi.org/10.3847/1538-4357/ad9a5bInterstellar mediumStar formationStar forming regions
spellingShingle Wei-An Chen
Ya-Wen Tang
S. D. Clarke
Patricio Sanhueza
Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
The Astrophysical Journal
Interstellar medium
Star formation
Star forming regions
title Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
title_full Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
title_fullStr Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
title_full_unstemmed Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
title_short Alignment Parameters: Quantifying Dense Core Alignment in Star-forming Regions
title_sort alignment parameters quantifying dense core alignment in star forming regions
topic Interstellar medium
Star formation
Star forming regions
url https://doi.org/10.3847/1538-4357/ad9a5b
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AT yawentang alignmentparametersquantifyingdensecorealignmentinstarformingregions
AT sdclarke alignmentparametersquantifyingdensecorealignmentinstarformingregions
AT patriciosanhueza alignmentparametersquantifyingdensecorealignmentinstarformingregions