中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
PyEMILI: A New Generation Computer-aided Spectral Line Identifier

文献类型:期刊论文

作者Tu, Zhijun2,8; Fang, Xuan2,3,4,8; Williams, Robert1,7; Liu, Jifeng2,5,6,8
刊名ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
出版日期2025-03-01
卷号277期号:1页码:13
ISSN号0067-0049
DOI10.3847/1538-4365/adae00
产权排序3
英文摘要Deep high-dispersion spectroscopy of Galactic photoionized gaseous nebulae, mainly planetary nebulae and H ii regions, has revealed numerous emission lines. As a key step of spectral analysis, identification of emission lines hitherto has mostly been done manually, which is a tedious task, given that each line needs to be carefully checked against huge volumes of atomic transition/spectroscopic data to reach a reliable assignment of identity. Using Python, we have developed a line-identification code PyEMILI, which is a significant improvement over the Fortran-based package EMILI introduced similar to 20 yr ago. In our new code PyEMILI, the major shortcomings in EMILI's line-identification technique have been amended. Moreover, the atomic transition database utilized by PyEMILI was adopted from Atomic Line List v3.00b4 but greatly supplemented with theoretical transition data from the literature. The effective recombination coefficients of the C ii, O ii, N ii, and Ne ii nebular lines are collected from the literature to form a subset of the atomic transition database to aid identification of faint optical recombination lines in the spectra of planetary nebulae (PNe) and H ii regions. PyEMILI is tested using the deep, high-dispersion spectra of two Galactic PNe, Hf 2-2 and IC 418, and gives better results of line identification than EMILI does. We also ran PyEMILI on the optical spectrum of a late-type [WC11] star UVQS J060819.93-715737.4 recently discovered in the Large Magellanic Cloud, and our results agree well with the previous manual identifications. The new identifier PyEMILI is applicable to not only emission-line nebulae but also to emission stars, such as Wolf-Rayet stars.
WOS关键词EFFECTIVE RECOMBINATION COEFFICIENTS ; BOWEN FLUORESCENCE MECHANISM ; FINITE-DENSITY PLASMAS ; FAINT EMISSION-LINES ; PLANETARY-NEBULAE ; DIELECTRONIC RECOMBINATION ; CENTRAL STARS ; NGC 6153 ; CHEMICAL ABUNDANCES ; DEEP SPECTROSCOPY
资助项目National Natural Science Foundation of China[2021] ; Youth Talent Program[2023] ; Chinese Academy of Sciences (CAS, Beijing) ; Xinjiang Autonomous Region, China[11988101] ; National Natural Science Foundation of China (NSFC)
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:001427569600001
出版者IOP Publishing Ltd
资助机构National Natural Science Foundation of China ; Youth Talent Program ; Chinese Academy of Sciences (CAS, Beijing) ; Xinjiang Autonomous Region, China ; National Natural Science Foundation of China (NSFC)
源URL[http://ir.xao.ac.cn/handle/45760611-7/7454]  
专题研究单元未命名
通讯作者Fang, Xuan
作者单位1.Univ Calif Santa Cruz, Dept Astron & Astrophys, 1156 High St, Santa Cruz, CA 95064 USA
2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Xinjiang Astron Observ, 150 Sci 1 St, Urumqi 830011, Xinjiang, Peoples R China
4.Univ Hong Kong, Fac Sci, Lab Space Res, Pokfulam Rd, Hong Kong, Peoples R China
5.Chinese Acad Sci, New Cornerstone Sci Lab, Natl Astron Observ, Beijing 100101, Peoples R China
6.Beijing Normal Univ, Inst Frontiers Astron & Astrophys, Beijing 102206, Peoples R China
7.Space Telescope Sci Inst, 3700 San Martin Dr, Baltimore, MD 21218 USA
8.Chinese Acad Sci, CAS Key Lab Opt Astron, Natl Astron Observ, 20A Datun Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Tu, Zhijun,Fang, Xuan,Williams, Robert,et al. PyEMILI: A New Generation Computer-aided Spectral Line Identifier[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2025,277(1):13.
APA Tu, Zhijun,Fang, Xuan,Williams, Robert,&Liu, Jifeng.(2025).PyEMILI: A New Generation Computer-aided Spectral Line Identifier.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,277(1),13.
MLA Tu, Zhijun,et al."PyEMILI: A New Generation Computer-aided Spectral Line Identifier".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 277.1(2025):13.

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