Striation speedup#214
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especially important when running the bulk conversion
Replaced the brute-force shift loop in _find_best_alignment with FFT-based normalized cross-correlation (scipy.signal.fftconvolve). Mathematically equivalent — computes Pearson correlation at all shifts simultaneously instead of looping over ~8,500 individual calls per comparison.
42× faster: 11.75s → 0.28s per comparison on production data. Validated against the old implementation on synthetic and production pairs (correlation, shift, and scale all match within 1e-6).