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Identifying Li-rich giants from low-resolution spectroscopic survey
Kumar, Yerra Bharat1; Reddy, Bacham Eswar2; Zhao, Gang1
2018-04-01
Source PublicationJOURNAL OF ASTROPHYSICS AND ASTRONOMY
ISSN0250-6335
Volume39Issue:2Pages:10
AbstractIn this paper we discuss our choice of a large unbiased sample used for the survey of red giant branch stars for finding Li-rich K giants, and the method used for identifying Li-rich candidates using low-resolution spectra. The sample has 2000 giants within a mass range of 0.8 to 3.0M(circle dot). Sample stars were selected from the Hipparcos catalogue with colour (B-V) and luminosity (L/L-circle dot) in such way that the sample covers RGB evolution from its base towards RGB tip passing through first dredge-up and luminosity bump. Low-resolution (R approximate to 2000, 3500, 5000) spectra were obtained for all sample stars. Using core strength ratios of lines at Li I 6707 angstrom and its adjacent line Ca I 6717 angstrom we successfully identified 15 K giants with A(Li) > 1.5 dex, which are defined as Li-rich K giants. The results demonstrate the usefulness of low-resolution spectra to measure Li abundance and identify Li-rich giants from a large sample of stars in relatively shorter time periods.
KeywordStars RGB abundances lithium rich stellar atmospheres spectroscopy
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China
DOI10.1007/s12036-017-9501-6
WOS KeywordK-GIANT ; LITHIUM ENRICHMENT ; IRAS COLORS ; STARS ; ABUNDANCES ; RGB
Language英语
Funding ProjectChinese Academy of Sciences ; National Natural Science Foundation of China[11550110492] ; National Natural Science Foundation of China[11390371] ; National Natural Science Foundation of China[11233004]
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000428683200008
PublisherINDIAN ACAD SCIENCES
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/37122
Collection中国科学院国家天文台
Corresponding AuthorKumar, Yerra Bharat
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China
2.Indian Inst Astrophys, Koramangala 560034, Bengaluru, India
Recommended Citation
GB/T 7714
Kumar, Yerra Bharat,Reddy, Bacham Eswar,Zhao, Gang. Identifying Li-rich giants from low-resolution spectroscopic survey[J]. JOURNAL OF ASTROPHYSICS AND ASTRONOMY,2018,39(2):10.
APA Kumar, Yerra Bharat,Reddy, Bacham Eswar,&Zhao, Gang.(2018).Identifying Li-rich giants from low-resolution spectroscopic survey.JOURNAL OF ASTROPHYSICS AND ASTRONOMY,39(2),10.
MLA Kumar, Yerra Bharat,et al."Identifying Li-rich giants from low-resolution spectroscopic survey".JOURNAL OF ASTROPHYSICS AND ASTRONOMY 39.2(2018):10.
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