Description: A Matlab package designed for postprocessing data generated from the ASPECT geodynamics code. This version is specifically tailored to work with Minerallo's compressible density branch of ASPECT.
- Use
Postprocess_v1_2.m
to set your parameters for processing and visualization. - Run the script.
- The corresponding folder should be automatically added to the path.
- Read the comments for additional guidance.
- For any questions, feel free to reach out at [email protected] or on GitHub.
Thank you!
Version 1.3 introduce the automatization of Pvbatch with the matlab postprocess. To do so the user may :
- Set Python_paraview/build_autopostprocess_files, Postprocess_v1_2_auto.m (will be renameed later) and Postprocess.sh with the correct paths and make sure everything is correct.
- Without running them, open your terminal and go to the Python_paraview repository, use chmod+x Postprocess.sh and then ./Postprocess.sh. This will change the model name in the Python paraview script and in the Matlab postprocess.
- A new directory has been created. Change to this directory with your terminal and use chmod+x Postprocess_auto.sh and then ./Postprocess_auto.sh This will copy the files to the server to run pvbatch and extract the model data. 3b) Alternatively, you can simply restart without running pvbatch. Then you can use chmod+x Postprocess_auto_restart.sh and then ./Postprocess_auto_restart.sh. This will check if new files should be downloaded and run the Matlab postprocess to create the figures.
Version 1.2 introduces a new set of postprocesses known as "geofeatures." These, in combination with a Paraview Python script, enable tracking and quantification of subduction zones, connected subduction zones, and plumes. Additionally:
- The models now create a Robinson projection of the data extracted from Paraview.
- Data extraction from Paraview is facilitated using
Global_extract_series.py
. - There's an added focus on quantifying the distribution of the age of the oceanic seafloor relative to its surface area (as in Coltice, 2012).
- The postprocess can now calculate the Feret diameter of subduction zones and the VRMS of continents.
Description: A Matlab package designed for postprocessing data generated from the ASPECT geodynamics code. This version is specifically tailored to work with Minerallo's compressible density branch of ASPECT.
- Use
Postprocess_v1_2.m
to set your parameters for processing and visualization. - Run the script.
- The corresponding folder should be automatically added to the path.
- Read the comments for additional guidance.
- For any questions, feel free to reach out at [email protected] or on GitHub.
Thank you!
Version 1.3 introduce the automatization of Pvbatch with the matlab postprocess. To do so the user may :
- Set Python_paraview/build_autopostprocess_files, Postprocess_v1_2_auto.m (will be renameed later) and Postprocess.sh with the correct paths and make sure everything is correct.
- Without running them, open your terminal and go to the Python_paraview repository, use chmod+x Postprocess.sh and then ./Postprocess.sh. This will change the model name in the Python paraview script and in the Matlab postprocess.
- A new directory has been created. Change to this directory with your terminal and use chmod+x Postprocess_auto.sh and then ./Postprocess_auto.sh This will copy the files to the server to run pvbatch and extract the model data. 3b) Alternatively, you can simply restart without running pvbatch. Then you can use chmod+x Postprocess_auto_restart.sh and then ./Postprocess_auto_restart.sh. This will check if new files should be downloaded and run the Matlab postprocess to create the figures.
Version 1.2 introduces a new set of postprocesses known as "geofeatures." These, in combination with a Paraview Python script, enable tracking and quantification of subduction zones, connected subduction zones, and plumes. Additionally:
- The models now create a Robinson projection of the data extracted from Paraview.
- Data extraction from Paraview is facilitated using
Global_extract_series.py
. - There's an added focus on quantifying the distribution of the age of the oceanic seafloor relative to its surface area (as in Coltice, 2012).
- The postprocess can now calculate the Feret diameter of subduction zones and the VRMS of continents.