pyFracAggregate

A Python library for generating synthetic fractal aggregates (soot-like, aerosol-like) with tunable morphology, unified across four classical generation algorithms.

• Background
  • Why generate fractal aggregates
  • Morphology parameters
  • Counting versus mass measure
  • Primary particles
  • Two algorithmic families
  • The coordinate system
  • Placement strategies
  • Choosing a method
  • References
• Installation
  • Requirements
  • Install from PyPI
  • Install from source
  • Verify the installation
• Generating aggregates
  • Parameters
  • The coordinate system
  • The scaling axis
  • Particle size distributions
  • Overlap tolerance
  • Placement strategy
  • Working with the Aggregate
  • Factory function or generator classes
  • Reproducibility and seeding
• Analyzing aggregates
  • Interpreting df_num_est, df_mass_est and the r2 fields
  • Individual functions
  • Units
• Exporting data
  • YAML snapshot
  • VTK point cloud
  • VTM MultiBlock
  • Rendered image
  • Rotation video
  • Viewing VTK/VTM in ParaView
• Tutorial: basic usage
  • Part 1 — monodisperse PCA aggregate
  • Part 2 — polydisperse FracVAL-coordinate aggregate
  • Where to go next
• API Reference
  • Top-level API
  • Core
  • Generators
  • Analysis
  • I/O
  • Placement
• Architecture
  • How a generate() call flows
  • The Aggregate data structure
  • The generator contract
  • Scaling and placement: the division of labor
  • The placement strategy layer
  • Analysis
  • I/O
  • Tests
• Contributing
  • Development setup
  • Running the tests
  • Lint and type checks
  • Building the documentation
  • Pull request expectations