2018
DOI: 10.1111/jmg.12308
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Challenges in constraining thePTconditions of mafic granulites: An example from the northern Trans‐North China Orogen

Abstract: Some mafic granulites in the Sanggan area of the northern Trans‐North China Orogen (TNCO) have a relatively simple mineralogy with low energy grain shapes that are compatible with an assumption of equilibrium, but the rock‐forming minerals show variations in composition that create challenges for thermobarometry. The mafic granulites, which occur as apparently disrupted dyke‐like bodies in tonalite–trondhjemite–granodiorite gneisses, are divided into two types based on petrography and chemical composition. Typ… Show more

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Cited by 45 publications
(16 citation statements)
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References 137 publications
(260 reference statements)
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“…Figure depicts plotting positions of hornblende, garnet, orthopyroxene, and clinopyroxene in a CFM diagram; it shows that the predicted Fe–Mg partitioning between amphibole and clinopyroxene ( X Mg in hb > aug) is the reverse of widely established patterns in natural rocks in which clinopyroxene is more magnesian than coexisting amphibole (cf. Hartel & Pattison, ; Huang et al., ; Kumar & Chacko, ; Loock, Stosch, & Seck, ; Pattison, ; Zhao, Wilde, Cawood, & Liu, ). This discrepancy pertains whether Fe 3+ is included or not.…”
Section: Phase Equilibrium Modelling Resultsmentioning
confidence: 99%
“…Figure depicts plotting positions of hornblende, garnet, orthopyroxene, and clinopyroxene in a CFM diagram; it shows that the predicted Fe–Mg partitioning between amphibole and clinopyroxene ( X Mg in hb > aug) is the reverse of widely established patterns in natural rocks in which clinopyroxene is more magnesian than coexisting amphibole (cf. Hartel & Pattison, ; Huang et al., ; Kumar & Chacko, ; Loock, Stosch, & Seck, ; Pattison, ; Zhao, Wilde, Cawood, & Liu, ). This discrepancy pertains whether Fe 3+ is included or not.…”
Section: Phase Equilibrium Modelling Resultsmentioning
confidence: 99%
“…The P – T calculations were performed using phase equilibrium modelling, conventional thermobarometry, and average P – T . As recently summarized by Huang, Brown, Guo, Piccoli, and Zhang (), there is a large number of uncertainties associated with any P – T estimate. Among the most important are the sum of errors resulting from the analytical techniques used, uncertainties on the mineral mode calculations (2D scans vs. 3D geometry of natural rocks) and the imperfection of the thermodynamic data sets and activity models.…”
Section: Resultsmentioning
confidence: 99%
“…The best-preserved sample M2 has been chosen for the P-T estimates. The P-T calculations were performed using phase equilibrium modelling, conventional thermobarometry, and average P-T. As recently summarized by Huang, Brown, Guo, Piccoli, and Zhang (2018), there is a large number of uncertainties associated with any P-T estimate.…”
Section: Pressure-temperature Estimatesmentioning
confidence: 99%
“…A limitation of the models presented here is that they are based on mineral equilibria using the simplified KFMASHTO system. A critical aspect is the correct selection of a starting composition to address the problem at hand, since an equilibrium assemblage can be difficult to identify, as was recently discussed in detail in Huang, Brown, Guo, Piccoli, and Zhang () or in Guevara and Caddick (). Different layers represent different domains in a rock and averaging compositions across layers can lead to inaccurate results.…”
Section: Discussionmentioning
confidence: 99%