Articles | Volume 6, issue 4
https://doi.org/10.5194/gchron-6-521-2024
https://doi.org/10.5194/gchron-6-521-2024
Research article
 | 
17 Oct 2024
Research article |  | 17 Oct 2024

An optimization tool for identifying multiple-diffusion domain model parameters

Andrew L. Gorin, Joshua M. Gorin, Marie Bergelin, and David L. Shuster

Viewed

Total article views: 938 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
713 189 36 938 14 14
  • HTML: 713
  • PDF: 189
  • XML: 36
  • Total: 938
  • BibTeX: 14
  • EndNote: 14
Views and downloads (calculated since 02 May 2024)
Cumulative views and downloads (calculated since 02 May 2024)

Viewed (geographical distribution)

Total article views: 938 (including HTML, PDF, and XML) Thereof 948 with geography defined and -10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
The multiple-diffusion domain (MDD) model quantifies the temperature dependence of noble gas diffusivity in minerals. However, current methods for tuning MDD parameters can yield biased results, leading to underestimates of sample temperatures through geologic time. Our "MDD Tool Kit" software optimizes all MDD parameters simultaneously, overcoming these biases. We then apply this software to a previously published 40Ar/39Ar dataset (Wong, 2023) to showcase its efficacy.