Benchmarks
Speed Comparison
Metric |
Python+Numba |
Fortran |
Speedup |
|---|---|---|---|
24 events |
0.068s |
0.473s |
6.9x |
Per event |
2.85ms |
19.7ms |
6.9x |
5000 events |
13.0s |
98.5s |
7.6x |
10000 events |
26.0s |
197.0s |
7.6x |
Optimization: Numba JIT compilation + NumPy vectorization
Accuracy
Metric |
Python |
Fortran |
|---|---|---|
Dip error median |
5.6° |
11.1° |
Rake error median |
24.1° |
26.6° |
Note: Strike differences (40-80°) are normal - focal mechanisms have two orthogonal nodal planes that both satisfy polarity data.
Evaluation status (latest notebook run):
Python synthetic trials: 300/300 successful solutions
Fortran synthetic trials: 60/60 successful solutions (direct-runs)