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PyFracVAL 0.1.0 documentation

  • Installation
  • Usage
  • Knowledge Base
  • References
  • API Reference
  • Installation
  • Usage
  • Knowledge Base
  • References
  • API Reference

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  • Pipeline Baseline: Status of Stages and Variants
  • Comparison of CCA Sticking Methods
  • Cluster Pairing and Geometric Frustration in CCA Sticking
  • Matching-Based CCA Pairing: a Negative Result
  • Backtracking CCA Pairing
  • Statistical Overlap-Failure Census
  • Drop-a-Few-Particles Rescue
  • Catalog Overlap Leak: success=True Clusters With Severe Residual Overlap
  • Df/kf/σ Stability Boundary Near the Hard Regime
  • Stability Boundary After Backtracking (Sweep v2)
  • Structural Validation via the Correlation Function f(r)
  • Predicting the Feasibility Boundary
  • Profiling and Performance
  • Failure Statistics: the Structured Event Log
  • Full-Grid Stability Sweep and Runtime Model
  • GPU Acceleration Evaluation: JAX vs. Numba
  • Knowledge Base

Knowledge Base#

Experimental retrospectives and parameter sweeps documenting the evidence behind PyFracVAL’s algorithmic design decisions.

  • Pipeline Baseline: Status of Stages and Variants
  • Comparison of CCA Sticking Methods
  • Cluster Pairing and Geometric Frustration in CCA Sticking
  • Matching-Based CCA Pairing: a Negative Result
  • Backtracking CCA Pairing
  • Statistical Overlap-Failure Census
  • Drop-a-Few-Particles Rescue
  • Catalog Overlap Leak: success=True Clusters With Severe Residual Overlap
  • Df/kf/σ Stability Boundary Near the Hard Regime
  • Stability Boundary After Backtracking (Sweep v2)
  • Structural Validation via the Correlation Function f(r)
  • Predicting the Feasibility Boundary
  • Profiling and Performance
  • Failure Statistics: the Structured Event Log
  • Full-Grid Stability Sweep and Runtime Model
  • GPU Acceleration Evaluation: JAX vs. Numba

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Pipeline Baseline: Status of Stages and Variants

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