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Appendix 9 - Tutorial solutions

Published online by Cambridge University Press:  15 December 2009

Jean Braun
Affiliation:
Australian National University, Canberra
Peter van der Beek
Affiliation:
Université Joseph Fourier, Grenoble
Geoffrey Batt
Affiliation:
Royal Holloway, University of London
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Summary

Tutorial 1

The computed ages are summarized in Table A9.1. The ages obtained with Mad_He are all very close to 40 Myr, demonstrating that inverting an age dataset to obtain a temperature history is a non-unique problem. Many thermal histories can lead to the same age. Note also that Dodson's method is valid only for simple cooling histories. The absolute-closure-temperature method is almost always inaccurate.

Fission-track-length distributions as computed from MadTrax.f are shown in Figure A9.1. Rapid cooling (scenario 1) leads to a narrow track distribution whereas slow cooling (scenario 2) leads to a broad track distribution.

Tutorial 2

Muscovite 40Ar/39 Ar ages are 40 Myr for the first scenario, and > 100 Myr for the four others. Except for the first scenario of very rapid cooling from high temperatures, muscovite 40Ar/39Ar is not the appropriate system to study – its closure temperature is too high to discriminate among the different low-temperature thermal histories.

The apatite fission-track ages calculated using MadTrax.f are given in Table A9.1, together with the (U–Th)/He ages calculated in Tutorial 1. The combination of apatite (U–Th)/He and fission-track thermochronometers adds additional constraint to the scenarios and removes some of the ambiguities noted in Tutorial 1. The fission-track ages for the first three scenarios are different.

Fission-track length distributions as computed from MadTrax.f are shown in Figure A9.1.

Type
Chapter
Information
Quantitative Thermochronology
Numerical Methods for the Interpretation of Thermochronological Data
, pp. 228 - 236
Publisher: Cambridge University Press
Print publication year: 2006

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  • Tutorial solutions
  • Jean Braun, Australian National University, Canberra, Peter van der Beek, Université Joseph Fourier, Grenoble, Geoffrey Batt, Royal Holloway, University of London
  • Book: Quantitative Thermochronology
  • Online publication: 15 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616433.023
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Save book to Dropbox

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  • Tutorial solutions
  • Jean Braun, Australian National University, Canberra, Peter van der Beek, Université Joseph Fourier, Grenoble, Geoffrey Batt, Royal Holloway, University of London
  • Book: Quantitative Thermochronology
  • Online publication: 15 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616433.023
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Tutorial solutions
  • Jean Braun, Australian National University, Canberra, Peter van der Beek, Université Joseph Fourier, Grenoble, Geoffrey Batt, Royal Holloway, University of London
  • Book: Quantitative Thermochronology
  • Online publication: 15 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616433.023
Available formats
×