Processing Pipeline

Post-process Grids

After the MESA grids have finished, the important data needs to be extracted from them. This is a multistep process that we have automated as much as possible. Central in this process is the PSyGrid object, which is used to read and store the MESA data. You can learn more about it below.

In general, the post-processing consists of the following steps:

1. step_1: Extracts the important data from the MESA output files and stores it in a PSyGrid object.

2. step_2: Combine multiple PSyGrid objects into a single one.

3. step_3: Add additional information to the PSyGrid object, such as supernova outcomes and remnant masses.

4. step_4: Train classifiers and initial-final interpolators based on the PSyGrid data.

After completing these steps, the PSyGrid object contains all the necessary information to perform population synthesis simulations. The following diagram illustrates the processing pipeline:

As part of the post-processing, we also generate plots and tables to summarize the results. Furthermore, the post-processing also allows for the selection of reruns, which can be used to rerun a specific subset of the initial grid with a different numerical MESA setup to reach convergence.

The post-processing steps can be run individually or as part of an automated pipeline (the ini file configuration). The following sections provide more details on each step and the available tools.

PSyGrid object

• PSyGrid object
  • Initializing a PSyGrid object
  • Creating a PSyGrid object
  • Loading a PSyGrid object
  • Contents of a PSyGrid object
    • Print a PSyGrid object
    • Accessing data in a PSyGrid object
    • Plot a PSyGrid object
  • Work on/with a PSyGrid object
    • Loop over a PSyGrid object
    • Expand a PSyGrid object
    • Join two or more PSyGrid objects
    • Get reruns from a PSyGrid object
    • Close associated hdf5 file

Our post-processing pipeline

• Post-processing pipeline
  • Pipeline steps
    • Step 1: Creating a PSyGrid object
    • Step 2: Combining PSyGrid objects
    • Step 3: Calculating extra values from stellar model time series and structure profile data
    • Step 4: Training the interpolators
    • Step F: Exporting the data set
    • Step R: Exporting a rerun
  • Pipeline additions
    • Creating plots
    • Doing checks

ini file documentation

Learn how to use an ini file to set up the post-processing pipeline.

• Documentation of the ini file for the post-processing pipeline
  • Aim of the ini file
  • Sections in the ini file
    • Account and slurm settings
    • General pipeline settings
    • Step sections