Articles | Volume 2, issue 2
https://doi.org/10.5194/gchron-2-325-2020
https://doi.org/10.5194/gchron-2-325-2020
Research article
 | 
05 Nov 2020
Research article |  | 05 Nov 2020

Robust isochron calculation

Roger Powell, Eleanor C. R. Green, Estephany Marillo Sialer, and Jon Woodhead

Viewed

Total article views: 3,106 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,096 908 102 3,106 99 84
  • HTML: 2,096
  • PDF: 908
  • XML: 102
  • Total: 3,106
  • BibTeX: 99
  • EndNote: 84
Views and downloads (calculated since 14 Feb 2020)
Cumulative views and downloads (calculated since 14 Feb 2020)

Viewed (geographical distribution)

Total article views: 3,106 (including HTML, PDF, and XML) Thereof 2,762 with geography defined and 344 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Feb 2025
Download
Short summary
The standard approach to isochron calculation assumes that the distribution of uncertainties on the data arising from isotopic analysis is strictly Gaussian. This excludes datasets that have more scatter, even though many appear to have age significance. Our new approach requires only that the central part of the uncertainty distribution of the data defines a "spine" in the trend of the data. A robust statistics approach is used to locate the spine, and an implementation in Python is given.
Share