Rename kamil_adc to rph_radar and fix its data path

python_app/workflows/neutral_preprocess.py

@@ -2,7 +2,7 @@
 
 Applying these sets leaves measurements unchanged and satisfies pipeline asset
 validation before physical calibration is available. The shortcut is enabled for
-verified frequency axes: Kamil ADC, multi-device LibreVNA and single-device mock.
+verified frequency axes: RadioPhotonic radar (RPH), multi-device LibreVNA and single-device mock.
 """
 
 from __future__ import annotations
@@ -12,10 +12,7 @@ import time
 
 import numpy as np
 
-from python_app.hardware_full.kamil_adc import (
-    KamilAdcProcessingParams,
-    KamilAdcSweepProcessor,
-)
+from python_app.hardware_full.rph_radar.processing import RphRadarSweepProcessor
 from python_app.models.dataset_model import ComboKey, SweepCollection, TraceData
 from python_app.models.run_config_schema import ComboModel, RunConfigModel
 
@@ -24,19 +21,16 @@ logger = logging.getLogger(__name__)
 
 def supports_neutral_preprocess_sets(config: RunConfigModel) -> bool:
     """Enable the shortcut only when the emitted frequency grid is verified."""
-    return bool(config.is_kamil_adc or config.is_multi_device or (
+    return bool(config.is_rph_radar or config.is_multi_device or (
         config.radar.model == RunConfigModel.LIBREVNA_MODEL and config.radar.driver_mode == "mock"
     ))
 
 
 def neutral_frequency_grid_hz(config: RunConfigModel) -> np.ndarray:
     """Derive the neutral axis; the preprocessor verifies it against measured data."""
-    if config.is_kamil_adc:
+    if config.is_rph_radar:
         # Single source of truth for the axis: the same grid the processor emits.
-        processor = KamilAdcSweepProcessor(
-            KamilAdcProcessingParams.from_kamil_model(config.radar.kamil_adc)
-        )
-        return processor.grid_hz
+        return RphRadarSweepProcessor(config.radar.rph_radar).grid_hz
 
     points = int(config.radar.sweep.points)
     if points < 1: