Detrital MC user guide

Predicted and observed detrital thermochronometer age distributions plotted as empirical cumulative distribution functions

Detrital MC is a Monte Carlo code for comparing predicted and observed detrital thermochronometer ages. This website contains documentation for Detrital MC. If you are interested in the code itself, you can download Detrital MC from its GitHub repository at HUGG/Detrital-MC.

User guide

• Installation
  • Dependencies
  • Downloading the Detrital MC source code
  • Building using GNU Make
  • Building using CMake
• Quick start
• Code overview
• Input file
  • Section 1: Basin summary information
  • Section 2: Number of grains to consider in predicted age PDFs
  • Section 3: PDFs to calculate
• Input data file formats
  • Observed age data file format
  • Predicted age data file format
• Calculation of age distributions
  • Measured age PDFs and sample age distributions
  • Predicted age PDFs and age distributions
  • Catchment cumulative distributions
  • References
• Monte Carlo age sampling
• Comparing age distributions
• Output files and formats
• References

Examples

• Using Detrital MC with Pecube
  • Introduction
  • Step 1. Forward model cooling ages in Pecube
  • Step 2. Generation of catchment topometric and geological/glacial datasets
  • Step 3 - Merging topometric data
  • Step 4 - Adding ages from Pecube to the merged file
  • Step 5. - Calculating detrital age distributions with Detrital MC
  • Notes