Components of star formation in NGC 253 : Non-negative Matrix Factorization Analysis with the ALCHEMI integrated intensity images
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| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Preprint |
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2024
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| author | Kishikawa, Ryo Harada, Nanase Saito, Toshiki Aalto, Susanne Colzi, Laura Gorski, Mark Henkel, Christian Mangum, Jeffrey G. Martín, Sergio Muller, Sebastian Nishimura, Yuri Rivilla, Víctor M. Sakamoto, Kazushi van der Werf, Paul Viti, Serena |
| author_facet | Kishikawa, Ryo Harada, Nanase Saito, Toshiki Aalto, Susanne Colzi, Laura Gorski, Mark Henkel, Christian Mangum, Jeffrey G. Martín, Sergio Muller, Sebastian Nishimura, Yuri Rivilla, Víctor M. Sakamoto, Kazushi van der Werf, Paul Viti, Serena |
| contents | It is essential to examine the physical or chemical properties of molecular gas in starburst galaxies to reveal the underlying mechanisms characterizing starbursts. We used non-negative matrix factorization (NMF) to extract individual molecular or physical components involved in the star formation process in NGC\,253. We used images of 148 transitions from 44 different species of the ALMA large program ALCHEMI. Additionally, we included the continuum images at ALMA Bands 3 and 7 from the same dataset. For the five NMF components (NF1--5), we obtained that their distributions correspond to various basic phenomena related to star formation: i) low-density gas extended through the galactic central molecular zone (NF2), ii) shocks (NF3), iii) starburst regions (NF4), and iv) young star-forming regions (NF5). The other component (NF1) is related to excitation; three components obtained by NMF (NF3, 1, and 5) show a strong dependence upon the upper state energies of transitions, and represent low-, intermediate-, and high-excitation, respectively. We also compared our results using principal component analysis (PCA) previously applied to the same dataset. Molecular components extracted from NMF are similar to the ones obtained from PCA. However, NMF is better at extracting components associated with a single physical component, while a single component in PCA usually contains information on multiple physical components. This is especially true for features with weak intensities like emission from outflows. Our results suggest that NMF can be one of promising methods interpreting molecular line survey data, especially in the upcoming era of wide-band receivers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_03867 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Components of star formation in NGC 253 : Non-negative Matrix Factorization Analysis with the ALCHEMI integrated intensity images Kishikawa, Ryo Harada, Nanase Saito, Toshiki Aalto, Susanne Colzi, Laura Gorski, Mark Henkel, Christian Mangum, Jeffrey G. Martín, Sergio Muller, Sebastian Nishimura, Yuri Rivilla, Víctor M. Sakamoto, Kazushi van der Werf, Paul Viti, Serena Astrophysics of Galaxies It is essential to examine the physical or chemical properties of molecular gas in starburst galaxies to reveal the underlying mechanisms characterizing starbursts. We used non-negative matrix factorization (NMF) to extract individual molecular or physical components involved in the star formation process in NGC\,253. We used images of 148 transitions from 44 different species of the ALMA large program ALCHEMI. Additionally, we included the continuum images at ALMA Bands 3 and 7 from the same dataset. For the five NMF components (NF1--5), we obtained that their distributions correspond to various basic phenomena related to star formation: i) low-density gas extended through the galactic central molecular zone (NF2), ii) shocks (NF3), iii) starburst regions (NF4), and iv) young star-forming regions (NF5). The other component (NF1) is related to excitation; three components obtained by NMF (NF3, 1, and 5) show a strong dependence upon the upper state energies of transitions, and represent low-, intermediate-, and high-excitation, respectively. We also compared our results using principal component analysis (PCA) previously applied to the same dataset. Molecular components extracted from NMF are similar to the ones obtained from PCA. However, NMF is better at extracting components associated with a single physical component, while a single component in PCA usually contains information on multiple physical components. This is especially true for features with weak intensities like emission from outflows. Our results suggest that NMF can be one of promising methods interpreting molecular line survey data, especially in the upcoming era of wide-band receivers. |
| title | Components of star formation in NGC 253 : Non-negative Matrix Factorization Analysis with the ALCHEMI integrated intensity images |
| topic | Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2411.03867 |