By Jean Braun
Provides numerical modeling thoughts and case experiences to discover geochronological isotopic age information.
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Additional resources for Quantitative Thermochronology: Numerical Methods for the Interpretation of Thermochronological Data
Although argon release from muscovite has been examined under hydrothermal conditions (Hart, 1964; Brandt and Voronovskiy, 1967), the most detailed hydrothermal diffusion study undertaken for this mineral is reported in a widely cited, but unpublished, Brown University thesis (Robbins, 1972). Various authors have re-examined the Robbins (1972) data, and recast interpretations of it using different geometric models of diffusive loss (Hames and Bowring, 1994; Lister and Baldwin, 1996). Uncertainties in these experimentally derived diffusion properties prevent ab initio calculation of meaningful closure temperatures for muscovite (Hames and Bowring, 1994; Lister and Baldwin, 1996).
For apatite and titanite, which are characterised by much lower U and Th concentrations than those in zircon, multi-grain aliquots are generally required, except where sufficient time has elapsed since closure (typically several tens of millions of years) for sufficient helium ingrowth to occur. ), initial or excess He is usually not a concern. However, two factors are known to bias the measured He age strongly: -ejection and (U–Th)-rich inclusions. 4). This effect is corrected for by using a numerical model of -ejection.
In this way, no exact knowledge of the received neutron fluence is required, since this can be assayed in comparative terms by employing the relative gas evolution from the unknown sample and the well-constrained age standard. 7) Ar can be extracted stepwise by heating the sample over a range of temperatures below that of fusion, which presents a powerful advantage over bulk extraction and analysis in that it provides insight into the relative spatial distribution of 40 Ar. 39 Ar and 40 Ar behave essentially identically during extraction; any gas released during a given heating step thus contains both 40 Ar and a direct proxy for the 40 K content of the correlative area of the sample.
Quantitative Thermochronology: Numerical Methods for the Interpretation of Thermochronological Data by Jean Braun