05. Important notes

Some important note:

  1. MCMC sampling is strongly influenced by the data weighting. If you want to change the weighting for a single station, simply open {Project}/data/{sta}_data/in.data_{sta} and edit it as a text file. If you want to apply the change to all stations, update the parameters in SetupData/parameter.py, then rerun the workflow from 01_prepare_data.sh to 02_do_MCMC.sh to fully reprocess the inversion.
  1. When processing the MCMC workflow, it mainly runs in two steps. For each step, checkpoint messages are printed for tracking. The workflow proceeds from checkpoint 1 (MCMC sampling) to checkpoint 2 (post-process). Sometimes checkpoint 1 passes but checkpoint 2 fails. In that case, check the printed output to identify which part caused the error.
  1. MCMC sampling is time comsuming. Incase you only need to change the posterior distribution to see difference in final model. Then change only parameter in {Project}/data/{sta}_data/in.connector and call script to call the script 04_re_do_MCMC_post_process.sh to do post process only.
  1. If you want to change the plot style only, change the parameter in {Project}/data/{sta}_data/in.connector and call scrip 05_do_replot_MCMC.sh.