Spectuner: A Framework for Automated Line Identification of Interstellar Molecules
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866912221633708032 |
|---|---|
| author | Qiu, Yisheng Zhang, Tianwei Möller, Thomas Jiang, XueJian Song, Zihao Chen, Huaxi Quan, Donghui |
| author_facet | Qiu, Yisheng Zhang, Tianwei Möller, Thomas Jiang, XueJian Song, Zihao Chen, Huaxi Quan, Donghui |
| contents | Interstellar molecules, which play an important role in astrochemistry, are identified using observed spectral lines. Despite the advent of spectral analysis tools in the past decade, the identification of spectral lines remains a tedious task that requires extensive manual intervention, preventing us from fully exploiting the vast amounts of data generated by large facilities such as ALMA. This study aims to address the aforementioned issue by developing a framework of automated line identification. We introduce a robust spectral fitting technique applicable for spectral line identification with minimal human supervision. Our method is assessed using published data from five line surveys of hot cores, including W51, Orion-KL, Sgr B2(M), and Sgr B2(N). By comparing the identified lines, our algorithm achieves an overall recall of ~ 74% - 93%, and an average precision of ~ 78% - 92%. Our code, named Spectuner, is publicly available on GitHub. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_06004 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spectuner: A Framework for Automated Line Identification of Interstellar Molecules Qiu, Yisheng Zhang, Tianwei Möller, Thomas Jiang, XueJian Song, Zihao Chen, Huaxi Quan, Donghui Astrophysics of Galaxies Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics Interstellar molecules, which play an important role in astrochemistry, are identified using observed spectral lines. Despite the advent of spectral analysis tools in the past decade, the identification of spectral lines remains a tedious task that requires extensive manual intervention, preventing us from fully exploiting the vast amounts of data generated by large facilities such as ALMA. This study aims to address the aforementioned issue by developing a framework of automated line identification. We introduce a robust spectral fitting technique applicable for spectral line identification with minimal human supervision. Our method is assessed using published data from five line surveys of hot cores, including W51, Orion-KL, Sgr B2(M), and Sgr B2(N). By comparing the identified lines, our algorithm achieves an overall recall of ~ 74% - 93%, and an average precision of ~ 78% - 92%. Our code, named Spectuner, is publicly available on GitHub. |
| title | Spectuner: A Framework for Automated Line Identification of Interstellar Molecules |
| topic | Astrophysics of Galaxies Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2408.06004 |