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Introduction

  • Introduction, Objectives, and Scope
  • Collaborative Team
  • Publications

Getting Started

  • Prerequisites
  • Installation Guide
  • Verification

User Guides

  • Roadmap to Becoming an Expert POSYDON User

Tutorials and Examples

  • Binary-Star Population Synthesis with POSYDON
  • Crafting the Core Datasets for POSYDON
  • Architecting MESA Simulation Grids with POSYDON

In-Depth Components Overview

  • MESA Grids API
  • Processing Pipeline
    • PSyGrid object
    • Post-processing pipeline
    • Documentation of the ini file for the post-processing pipeline
  • Machine Learning Components
  • Stellar & Binary-star Simulation

API Reference

  • posydon
  • executables

Troubleshooting and FAQs

  • Installation Issues
  • Code Usage Questions

Contributing to POSYDON

  • How To Contribute
  • Code Style Guidelines
  • Reporting issues

Releases and Datasets

  • Releases
  • Datasets

Contact and Support

  • Contact Information
posydon
  • Processing Pipeline
  • View page source

Processing Pipeline

Post-process Grids

After the MESA girds have finished, the important data needs to be extracted from them.

PSyGrid object

We have a dedicated object to deal with the MESA data outcome. Learn what you can do with it.

  • 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 on 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

We use a pipeline to post-process the data in a more automatized way. Learn to what you can do with this tool.

  • Post-processing pipeline
    • Pipeline steps
      • Step1: creating a PSyGrid object
      • Step2: combining PSyGrid objects
      • Step3: calculating extra values from detailed data
      • Step4: training of the interpolators
      • Step9: exporting the data set
      • StepR: exporting a rerun
    • Pipeline additions
      • Creating plots
      • Doing checks

Ini file documentation

Learn how to use an ini file to setup 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
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