Articles | Volume 4, issue 2
https://doi.org/10.5194/gchron-4-533-2022
https://doi.org/10.5194/gchron-4-533-2022
Research article
 | 
18 Aug 2022
Research article |  | 18 Aug 2022

Combined linear-regression and Monte Carlo approach to modeling exposure age depth profiles

Yiran Wang and Michael E. Oskin

Viewed

Total article views: 1,515 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,053 409 53 1,515 63 22 35
  • HTML: 1,053
  • PDF: 409
  • XML: 53
  • Total: 1,515
  • Supplement: 63
  • BibTeX: 22
  • EndNote: 35
Views and downloads (calculated since 22 Nov 2021)
Cumulative views and downloads (calculated since 22 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,515 (including HTML, PDF, and XML) Thereof 1,436 with geography defined and 79 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
When first introduced together with the depth profile technique to determine the surface exposure age, the linear inversion approach has suffered with the drawbacks of not incorporating erosion and muons into calculation. In this paper, we increase the accuracy and applicability of the linear inversion approach by fully considering surface erosion, muogenic production, and radioactive decay, while maintaining its advantage of being straightforward to determine an exposure age.