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Mapping the magnetic field in the solar corona through magnetoseismology
Yang ZiHao1; Tian Hui1,2; Tomczyk, Steven3; Morton, Richard4; Bai XianYong2; Samanta, Tanmoy5,6; Chen YaJie1,7
2020-08-28
Source PublicationSCIENCE CHINA-TECHNOLOGICAL SCIENCES
ISSN1674-7321
Pages12
AbstractMagnetoseismology, a technique of magnetic field diagnostics based on observations of magnetohydrodynamic (MHD) waves, has been widely used to estimate the field strengths of oscillating structures in the solar corona. However, previously magnetoseismology was mostly applied to occasionally occurring oscillation events, providing an estimate of only the average field strength or one-dimensional distribution of field strength along an oscillating structure. This restriction could be eliminated if we apply magnetoseismology to the pervasive propagating transverse MHD waves discovered with the Coronal Multi-channel Polarimeter (CoMP). Using several CoMP observations of the Fexiii1074.7 nm and 1079.8 nm spectral lines, we obtained maps of the plasma density and wave phase speed in the corona, which allow us to map both the strength and direction of the coronal magnetic field in the plane of sky. We also examined distributions of the electron density and magnetic field strength, and compared their variations with height in the quiet Sun and active regions. Such measurements could provide critical information to advance our understanding of the Sun's magnetism and the magnetic coupling of the whole solar atmosphere.
Keywordsolar corona solar magnetic field waves magnetoseismology
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation
DOI10.1007/s11431-020-1706-9
WOS KeywordSUFFICIENT ENERGY ; ATOMIC DATABASE ; EMISSION-LINES ; WAVES ; FLUX ; OSCILLATIONS ; DIAGNOSTICS ; CHIANTI ; HINODE ; MODEL
Language英语
Funding ProjectNational Natural Science Foundation of China[11825301] ; National Natural Science Foundation of China[11790304(11790300)] ; Strategic Priority Research Program of CAS[XDA17040507] ; Strategic Priority Research Program of CAS[1916321TS00103201] ; National Center for Atmospheric Research - National Science Foundation[1852977]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of CAS ; Strategic Priority Research Program of CAS ; National Center for Atmospheric Research - National Science Foundation ; National Center for Atmospheric Research - National Science Foundation
WOS Research AreaEngineering ; Materials Science
WOS SubjectEngineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS IDWOS:000565507500001
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/82140
Collection中国科学院国家天文台
Corresponding AuthorTian Hui
Affiliation1.Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100012, Peoples R China
3.Natl Ctr Atmospher Res, High Altitude Observ, Pob 3000, Boulder, CO 80307 USA
4.Northumbria Univ, Dept Math Phys & Elect Engn, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
5.George Mason Univ, Dept Phys & Astron, Fairfax, VA 22030 USA
6.Johns Hopkins Univ, Appl Phys Lab, Laurel, MD 20723 USA
7.Max Planck Inst Solar Syst Res, D-37077 Gottingen, Germany
Recommended Citation
GB/T 7714
Yang ZiHao,Tian Hui,Tomczyk, Steven,et al. Mapping the magnetic field in the solar corona through magnetoseismology[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2020:12.
APA Yang ZiHao.,Tian Hui.,Tomczyk, Steven.,Morton, Richard.,Bai XianYong.,...&Chen YaJie.(2020).Mapping the magnetic field in the solar corona through magnetoseismology.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,12.
MLA Yang ZiHao,et al."Mapping the magnetic field in the solar corona through magnetoseismology".SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2020):12.
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