Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3193
Title: MagMin_PT: An Excel-based mineral classification and geothermobarometry program for magmatic rocks
Authors: Gündüz, Mesut
Asan, Kürşad
Keywords: Geology and mineralogy
Geothermobarometry
MagMin_PT
Mineral classification
Rock-forming minerals in igneous rocks
Feldspar
Igneous rocks
Learning systems
Mica
Phosphate minerals
Textures
Trace elements
Deep earths
Excel
Geology and mineralogy
Geothermobarometry
Magmatic rock
Magmin_PT
Mineral classification
Rock-forming mineral in igneous rock
Rock-forming minerals
Whole rocks
Magnetite
Publisher: Cambridge University Press
Abstract: Igneous rock forming minerals carry valuable information from the deep earth that is not directly accessible to the surface. Each phase represents physico-chemical conditions under which various magmatic processes occur at a wide range of depths from upper mantle to shallow crustal levels. These processes are cryptically inscribed in the whole-rock and mineral chemistry (e.g. major elements, trace elements, isotopic ratios) and the mineral textures (equilibrium vs. disequilibrium features), and intensive variables (e.g. pressure, P; temperature, T) as well. Therefore, special attention should be given to igneous minerals to better understand processes operated in their journey from source through magma chamber and conduit system to the earth surface. MagMin_PT is an Excel© based user-friendly program, designed to calculate mineral formulae and end-members, and to estimate pressure and temperature (e.g. geothermobarometry) from electron microprobe (EPMA) data, from magmatic rocks. The program operates the most common igneous rock-forming minerals (e.g. olivine, pyroxene, amphibole, biotite, feldspar, magnetite, ilmenite, apatite and zircon), resulting in various classification diagrams and P-T plots. Whole-rock or glass composition needs to be entered together with EPMA data into the program to check equilibration status in most P-T calculation models. Fe2+ and Fe3+ estimation is routinely performed in MagMin_PT based on the stoichiometric constrains, and machine learning method to some extent for different iron-bearing minerals. MagMin_PT is also able to carry out further calculations including fugacity, magmatic water content and saturation-temperature which are useful for igneous petrology studies. Graphical and numerical output produced by the program can be easily copied to further process in another media. © 2022 Cambridge University Press. All rights reserved.
URI: https://doi.org/10.1180/mgm.2022.113
https://doi.org/10.1180/mgm.2022.113
https://hdl.handle.net/20.500.13091/3193
ISSN: 0026-461X
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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