Several authors have proposed a version of the Ni-in-Grt geothermometer based on temperature-dependet exchange of Ni and Mg between garnet and olivine in matle rocks(Canil, 1999; Ryan, et al., 1996; Sudholz, 2021). However, these models work well within a limited range of temperatures. The objective of this thesis is to recalibrate the geothermometer by taking into account pressure, which has so far been considered negligible, in order to provide more reliable results. To achieve this, samples from various geological settings (both cratonic and non-cratonic) were taken into consideration, resulting in a wide range of P-T data. With the assistance of nonlinear regression statistical models, a new geothermometer model was obtained
Diversi autori hanno proposto una versione del geotermometro Ni-in-Grt basato sulla scambio di Ni e Mg tra granato e olivina in rocce del mantello in funzione della temperatura (Canil, 1999; Ryan, et al., 1996; Sudholz, 2021). Tuttavia, questi modelli funzionano bene solo in un range limitato di temperature. L'obiettivo di questa tesi è quello di ricalibrare il geotermometro, tenendo conto della pressione, finora considerata trascurabile, al fine di fornire risultati più affidabili. Per raggiungere questo obiettivo, sono stati presi in considerazione campioni provenienti da diversi contesti geologici (sia cratonici che non cratonici), ottenendo così un'ampia gamma di dati P-T. Con l'ausilio di modelli statistici di regressione non lineare, è stato ottenuto un nuovo modello di geotermometro.
Pressure dependence and recalibration of the Ni-in-Grt geothermometer
RIGOTTO, ANDREA
2022/2023
Abstract
Several authors have proposed a version of the Ni-in-Grt geothermometer based on temperature-dependet exchange of Ni and Mg between garnet and olivine in matle rocks(Canil, 1999; Ryan, et al., 1996; Sudholz, 2021). However, these models work well within a limited range of temperatures. The objective of this thesis is to recalibrate the geothermometer by taking into account pressure, which has so far been considered negligible, in order to provide more reliable results. To achieve this, samples from various geological settings (both cratonic and non-cratonic) were taken into consideration, resulting in a wide range of P-T data. With the assistance of nonlinear regression statistical models, a new geothermometer model was obtainedFile | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/61067