✦ ❯ python cpa_plot.py  --leakage-model invsbox_hw --dataset-path datasets/200K_NARROW --ac-couple --config config/efr32_hwaes_200k.json
Loading train split from datasets/200K_NARROW/ ...
  200000 traces × 300 samples each
  mode=decrypt  model=invsbox_hw
  preprocessing: ac-couple

Running known-key correlation on 16 byte(s)...
  byte  0: peak corr=+0.0691 @ sample 140
  byte  1: peak corr=−0.1590 @ sample 222
  byte  2: peak corr=+0.0752 @ sample 220
  byte  3: peak corr=−0.0454 @ sample 192
  byte  4: peak corr=−0.0960 @ sample 115
  byte  5: peak corr=−0.0662 @ sample 115
  byte  6: peak corr=−0.0595 @ sample 115
  byte  7: peak corr=−0.1045 @ sample 115
  byte  8: peak corr=+0.0674 @ sample 88
  byte  9: peak corr=−0.1378 @ sample 169
  byte 10: peak corr=+0.0634 @ sample 88
  byte 11: peak corr=−0.0839 @ sample 222
  byte 12: peak corr=+0.1993 @ sample 194
  byte 13: peak corr=+0.1437 @ sample 169
  byte 14: peak corr=−0.0936 @ sample 141
  byte 15: peak corr=−0.0930 @ sample 142

Noise-floor reference: |corr| ≈ 0.0080  (2× = 0.0160)