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Li, M.M., Guo, W., Verma, B., Tickle, K. and O’Connor, J. (2009) Intelligent Methods for Solving Inverse Problems of Backscattering Spectra with Noise: A Comparison between Neural Networks and Simulated Annealing. Neural Computing and Applications, 18, 423-430. http://dx.doi.org/10.1007/s00521-008-0219-x

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• TITLE: A Study of Rock Magnetism of High-Grade Hematite Ores

  AUTHORS: William W. Guo

  KEYWORDS: Rock Magnetism, High-Grade Hematite Ores, Anisotropy of Magnetite Susceptibility, Q-Value, Hamersley Province

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.3 No.2, January 30, 2015

  ABSTRACT: Rock magnetism is useful in various applications. Hematite is one of the two most important carriers of magnetism in the natural world and its magnetic features were mostly studied through laboratory experiments using synthetic hematite samples. A gap exists between the magnetic behaviors of hematite contained in the natural rocks and ores and those of synthetic hematite samples. This paper presents the results of a rock magnetism study on the natural hematite ores from the Whaleback mine in the Hamersley Province in the northwest of Western Australia. It was found that high-grade hematite ores carry a much higher remanent magnetization than induced magnetization. Hematite ores with less than 0.1% magnetite appear to have an exponential correlation between the bulk susceptibility and hematite content in weight percentage, different from the commonly accepted linear relationship between the bulk susceptibility and hematite content obtained from synthetic hematite samples. The new knowledge gained from this study contributes to a better understanding of magnetic behaviors of hematite, particularly natural hematite, and hence applications to other relevant disciplines.