Spectuner: A Framework For Automated Line Identification Of Interstellar Molecules

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 a recall of ~ 84% – 98%. Our code, named Spectuner, is publicly available on GitHub.

Yisheng Qiu, Tianwei Zhang, Thomas Möller, XueJian Jiang, Zihao Song, Huaxi Chen, Donghui Quan

Comments: 25 pages, 22 figures, submitted to ApJS
Subjects: Astrophysics of Galaxies (astro-ph.GA); Instrumentation and Methods for Astrophysics (astro-ph.IM); Solar and Stellar Astrophysics (astro-ph.SR)
Cite as: arXiv:2408.06004 [astro-ph.GA] (or arXiv:2408.06004v1 [astro-ph.GA] for this version)
https://doi.org/10.48550/arXiv.2408.06004
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Submission history
From: Yisheng Qiu
[v1] Mon, 12 Aug 2024 08:52:46 UTC (5,818 KB)
https://arxiv.org/abs/2408.06004
Astrobiology,