Abstract
Crystals grown from mixed magmas are characterized by extreme geochemical heterogeneity. The system is self-similar which is reflected in a complex pattern of element distribution in the crystal. New tools are required to show the complexity. 3D depiction (digital concentration-distribution models DC-DMs) combined with fractal statistics is an ideal tool for the identification and description of any subsequent change occurring due to the chaotic processes. LA-ICP-MS analysis gives simultaneous information on the concentration of many elements from the same analysed crystal volume. Thus the data collected are an ideal basis for the calculation of both DC-DMs and fractals. Simultaneous information retrieved by LA-ICP -MS on both compatible and incompatible elements and further data processing allow the determination of the process dynamics in terms of element behavior: antipersistent/persistent, being incorporated according to Henry’s Law or beyond it. The multi-method approach can be used for any system showing geochemical variability.
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Acknowledgments
The work has been funded by NCN grant 2011/01/B/ST10/04541. We are very grateful to S. Kumar for his invitation to provide our contribution to this book. We greatly appreciate peer reviews by R. MacDonald and A. Pietranik. We extend our sincere appreciation to Ch. Gallacher and R. MacDonald, who in addition corrected grammar and style.
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Słaby, E., Śmigielski, M., Domonik, A., Galbarczyk-Gasiorowska, L. (2014). Self-Similar Pattern of Crystal Growth from Heterogeneous Magmas: 3D Depiction of LA-ICP-MS Data. In: Kumar, S., Singh, R. (eds) Modelling of Magmatic and Allied Processes. Society of Earth Scientists Series. Springer, Cham. https://doi.org/10.1007/978-3-319-06471-0_7
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