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Most frequent value statistics and distribution of Li-7 abundance observations
Zhang J(张江)1,2
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
2017-07-01
Volume468Issue:4Pages:5014-5019
DOI10.1093/mnras/stx627
Contribution Rank第2完成单位
Indexed BySCI
Keywordnuclear reactions, nucleosynthesis, abundances methods: statistical stars: abundances star: statistics
Abstract

The problem of primordial lithium is one of the key issues in many astrophysical fields, especially nuclear astrophysics and cosmology. We apply a novel modern statistical method - the most frequent value (MFV) procedure - to study the distribution modelling for Li-7 abundance observations, constructing a robust and effective astrostatistical algorithm. Considering prior non-Gaussian error distributions of measurements of astrophysical quantities, the robust MFV method is essential as a standard statistical algorithm, according to the minimization for the information loss principle. Associated with global optimization, the MFV procedure has already been shown to be a more powerful tool than some classic statistical algorithms originating from the least-squares or maximum likelihood principle for dealing with the unknown distribution problems of observed astrophysical quantities. Applying the MFV algorithm, we obtain the MFV M = 2.205 and the dihesion epsilon = 0.067 of A(Li) measurements, which demonstrate certain advantages to solving problems with a non-Gaussian error distribution.

Funding ProjectNational Natural Science Foundation of China[11547041] ; National Natural Science Foundation of China[11403007] ; National Natural Science Foundation of China[11673007] ; National Natural Science Foundation of China[11643007] ; National Natural Science Foundation of China[11333004] ; National Natural Science Foundation of China[11333004] ; National Natural Science Foundation of China[U1531130] ; National Natural Science Foundation of China[11673059] ; National Natural Science Foundation of China[11390374] ; Chinese Academy of Sciences[KJZD-EW-M06-01] ; Chinese Academy of Sciences[QYZDB-SSW-SYS00]
Funding OrganizationNational Natural Science Foundation of China(11547041, 11403007, 11673007, 11643007, 11333004, U1531130, 11673059, 11390374, 11521303) ; Chinese Academy of Sciences(KJZD-EW-M06-01, QYZDB-SSW-SYS00)
Language英语
Subject Area天文学 ; 恒星与银河系 ; 恒星物理学
MOST Discipline Catalogue理学 ; 理学::天文学
SubtypeArticle
PublisherOXFORD UNIV PRESS
Publication PlaceGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN0035-8711
URL查看原文
WOS IDWOS:000402819700098
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS KeywordNEUTRON-CAPTURE ELEMENTS ; PROBE WMAP OBSERVATIONS ; MEDIAN STATISTICS ; HUBBLE CONSTANT ; RED GIANTS ; LITHIUM ; STARS ; SUPERNOVAE ; NUCLEOSYNTHESIS ; UNIVERSE
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Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/10092
Collection大样本恒星演化研究组
Corresponding AuthorZhang J(张江)
Affiliation1.Department of Mathematics and Physics, Hebei GEO University, Shijiazhuang 050016, China
2.National Astronomical Observatories/Yunnan Observatory, Chinese Academy of Sciences, Kunming, 650011, China
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang J. Most frequent value statistics and distribution of Li-7 abundance observations[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2017,468(4):5014-5019.
APA Zhang J.(2017).Most frequent value statistics and distribution of Li-7 abundance observations.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,468(4),5014-5019.
MLA Zhang J."Most frequent value statistics and distribution of Li-7 abundance observations".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 468.4(2017):5014-5019.
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