Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data
文献类型：期刊论文
| 作者 | Wang, Y.1,2,4; Kolotov, I. I.3; Lukyanenko, D. V.3; Yagola, A. G.3 |
| 刊名 | COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS
 |
| 出版日期 | 2020-06-01 |
| 卷号 | 60期号:6页码:1000-1007 |
| 关键词 | magnetostatics magnetic susceptibility full magnetic induction gradient tensor inverse problem |
| ISSN号 | 0965-5425 |
| DOI | 10.1134/S096554252006010X |
| 英文摘要 | The paper discusses the specificities of solving the inverse problem of reconstructing the magnetic susceptibility using complete tensor magnetic gradient data. This problem reduces to solving a system of two three-dimensional Fredholm integral equations of the first kind, one of which relates the magnetic susceptibility of a bounded body to the magnetic field induced by it and the other, to the full magnetic induction gradient tensor. For a series of model examples, it is demonstrated that the use of the full magnetic induction gradient tensor significantly improves the quality of the reconstructed function that determines the magnetic susceptibility. |
| WOS关键词 | INVERSION METHOD ; TENSOR |
| 资助项目 | Russian Foundation for Basic Research[19-51-53005] ; Russian Foundation for Basic Research[17-01-00159] ; National Science Foundation of China[11911530084] ; Ministry of Science and Technology of the People's Republic of China[2018YFC0603500] |
| WOS研究方向 | Mathematics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000555591800007 |
| 出版者 | PLEIADES PUBLISHING INC |
| 资助机构 | Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; Russian Foundation for Basic Research ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China ; Ministry of Science and Technology of the People's Republic of China |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/97600]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Wang, Y.; Kolotov, I. I.; Lukyanenko, D. V.; Yagola, A. G. |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 3.Lomonosov Moscow State Univ, Dept Math, Fac Phys, Moscow 119992, Russia 4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Y.,Kolotov, I. I.,Lukyanenko, D. V.,et al. Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data[J]. COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS,2020,60(6):1000-1007. |
| APA | Wang, Y.,Kolotov, I. I.,Lukyanenko, D. V.,&Yagola, A. G..(2020).Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data.COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS,60(6),1000-1007. |
| MLA | Wang, Y.,et al."Reconstruction of Magnetic Susceptibility Using Full Magnetic Gradient Data".COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS 60.6(2020):1000-1007. |
入库方式： OAI收割
来源：地质与地球物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。