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Benchmarking Component Analysis of Remanent Magnetization Curves With a Synthetic Mixture Series: Insight Into the Reliability of Unmixing Natural Samples

文献类型：期刊论文

作者He, Kuang1,5,6; Zhao, Xiangyu7; Pan, Yongxin1,2,5,6; Zhao, Xiang3; Qin, Huafeng1,4; Zhang, Tongwei1,5,6
刊名JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
出版日期2020-10-01
卷号125期号:10页码:16
关键词IRM unmixing endmember coercivity distribution biogenic magnetite hematite
ISSN号2169-9313
DOI10.1029/2020JB020105
英文摘要Geological samples often contain several magnetic components associated with different geological processes. Component analysis of remanent magnetization curves has been widely applied to decompose convoluted information. However, the reliability of commonly used methods is poorly assessed as independent verification is rarely available. For this purpose, we designed an experiment using a series of mixtures of two endmembers to benchmark unmixing methods for isothermal remanent magnetization (IRM) acquisition curves. First-order reversal curves (FORC) diagrams were analyzed for comparison. It is demonstrated that the parametric method, which unmixes samples using specific probability distributions, may result in biased estimates. In contrast, an endmember-based IRM unmixing approach yielded better quantitative results, which are comparable to the results obtained by FORC analysis based on principle component analysis (FORC-PCA). We demonstrate that endmember-based methods are in principle more suitable for unmixing a collection of samples with common endmembers; however, the level of decomposition will vary depending on the difference between the true endmembers that are associated with distinctive processes and the empirical endmembers used for unmixing. When it is desired to further decompose endmembers, the parametric unmixing approach remains a valuable means of inferring their underlying components. We illustrate that the results obtained by endmember-based and parametric methods can be quantitatively combined to provide improved unmixing results at the level of parametric model distributions.
WOS关键词ACQUISITION CURVES ; MAGNETITE ; ROCK ; COERCIVITY ; MAGNETOTAXIS ; ABUNDANCE ; SEDIMENTS ; MINERALS ; DIAGRAMS
资助项目National Natural Science Foundation of China[41621004] ; National Natural Science Foundation of China[41904070] ; National Natural Science Foundation of China[41920104009] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB18010000] ; National Institute of Polar Research (NIPR) through Advanced Project[KP-7] ; National Institute of Polar Research (NIPR) through Advanced Project[KP306] ; JSPS KAKENHI[15K13581] ; JSPS KAKENHI[16H04068] ; JSPS KAKENHI[17H06321] ; JSPS KAKENHI[18K13638] ; Australian Research Council[DP200100765]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000604458900031
出版者AMER GEOPHYSICAL UNION
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; Australian Research Council ; Australian Research Council ; Australian Research Council ; Australian Research Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; Australian Research Council ; Australian Research Council ; Australian Research Council ; Australian Research Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; Australian Research Council ; Australian Research Council ; Australian Research Council ; Australian Research Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; National Institute of Polar Research (NIPR) through Advanced Project ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; JSPS KAKENHI ; Australian Research Council ; Australian Research Council ; Australian Research Council ; Australian Research Council
源URL[http://ir.iggcas.ac.cn/handle/132A11/99989]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
地质与地球物理研究所_岩石圈演化国家重点实验室
通讯作者Zhao, Xiangyu
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
3.Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT, Australia
4.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Paleomagnetism & Geochronol Lab, Beijing, Peoples R China
6.Chinese Acad Sci, France China Joint Lab Evolut & Dev Magnetotact M, Beijing, Peoples R China
7.Natl Inst Polar Res, Tokyo, Japan
推荐引用方式
GB/T 7714		 He, Kuang,Zhao, Xiangyu,Pan, Yongxin,et al. Benchmarking Component Analysis of Remanent Magnetization Curves With a Synthetic Mixture Series: Insight Into the Reliability of Unmixing Natural Samples[J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,2020,125(10):16.
APA He, Kuang,Zhao, Xiangyu,Pan, Yongxin,Zhao, Xiang,Qin, Huafeng,&Zhang, Tongwei.(2020).Benchmarking Component Analysis of Remanent Magnetization Curves With a Synthetic Mixture Series: Insight Into the Reliability of Unmixing Natural Samples.JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,125(10),16.
MLA He, Kuang,et al."Benchmarking Component Analysis of Remanent Magnetization Curves With a Synthetic Mixture Series: Insight Into the Reliability of Unmixing Natural Samples".JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH 125.10(2020):16.

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来源：地质与地球物理研究所

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