How-To Guides

This section collects typical user workflows and best practices for WarpX.

• Extend a Simulation with Python
  • Overview
  • How to run a simulation with Python extensions
  • Callback Functions
  • pyAMReX
  • Data Access
  • Diagnostics
  • Modify Solvers
• Domain Decomposition
  • 1. Simple Method
  • 2. More General Method
  • 3. Performance Considerations
  • 4. Mesh Refinement
• Visualizing a distribution mapping
  • Generating the data
  • Loading and plotting the data
• Debugging the code
  • Debugging Workflow
  • Debuggers
  • Typical Error Messages
• Generate QED lookup tables using the standalone tool
• Plot timestep duration
• Predicting the Number of Guard Cells for PSATD Simulations
• Archiving
  • HPC Systems: HPSS
  • Desktops/Laptops: Cloud Drives
  • Asynchronous File Copies: Globus
  • Scientific Data for Publications
• Training a Surrogate Model from WarpX Data
  • Data Cleaning
  • Create Normalized Dataset
  • Neural Network Structure
  • Train and Save Neural Network
  • Evaluate
• Optimizing with Optimas