2018
DOI: 10.1130/abs/2018am-320568
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Solubility of Sphene in Siliceous Melts

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Cited by 3 publications
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“…Using the resulting modal abundances of each solid phase and melt, we then conducted trace element partitioning calculations using the composition-dependent partition coefficient data set of Keller (2021), compiled via the Geochemical Earth Reference Model (GERM) Partition Coefficients Database (https://kdd.earthref.org /KdD/). With these melt trace element compositions and temperatures, we then applied the zircon saturation model of Boehnke et al (2013), the apatite saturation model of Harrison and Watson (1984), the sphene model of Ayers et al (2018), and the monazite saturation model of Montel (1993). Because the saturation of several of these accessory phases depends on trace elements that also partition into other accessory phases, bulk solid-melt partition coefficients and melt trace element compositions were updated iteratively after adding each accessory phase.…”
Section: Zircon Trace Element Geochemistrymentioning
confidence: 99%
“…Using the resulting modal abundances of each solid phase and melt, we then conducted trace element partitioning calculations using the composition-dependent partition coefficient data set of Keller (2021), compiled via the Geochemical Earth Reference Model (GERM) Partition Coefficients Database (https://kdd.earthref.org /KdD/). With these melt trace element compositions and temperatures, we then applied the zircon saturation model of Boehnke et al (2013), the apatite saturation model of Harrison and Watson (1984), the sphene model of Ayers et al (2018), and the monazite saturation model of Montel (1993). Because the saturation of several of these accessory phases depends on trace elements that also partition into other accessory phases, bulk solid-melt partition coefficients and melt trace element compositions were updated iteratively after adding each accessory phase.…”
Section: Zircon Trace Element Geochemistrymentioning
confidence: 99%
“…To do this, we applied Perple_X thermodynamic modeling and free energy minimization software (Connolly, 2009(Connolly, , 2005 to model major-element chemistry and major-phase equilibria of a cooling and differentiating magma using the internally consistent thermodynamic database of Holland and Powell (2011), solid solution models based on the thermodynamic data of Tajčmanová et al (2009), Green et al (2016), and Jennings and Holland (2015), and the melt model of Holland et al (2018). After running major-element calculations with Perple_X, we assessed accessory phase stability using saturation models for sphene (Ayers et al, 2018), zircon (Boehnke et al, 2013), apatite (Harrison and Watson, 1984;Bea et al, 1992), monazite (Montel, 1993), and xenotime (Rusiecka and Baker, 2019), though the latter did not saturate. Finally, we partitioned trace elements among all major and accessory phases using partition coefficients compiled and averaged from the literature (including via the GERM database, https:// earthref.org /GERM) in the registered Julia package StatGeochem.jl (doi.org/10.17605/osf.io/tjhmw), which was also used to automate our Perple_X calculations (code available in File 4, see footnote 1).…”
Section: Zircon Trace-element Modelingmentioning
confidence: 99%