sar3d: python plumbing for the new parameters and real replay timing

- replay_raw_producer carries the RECORDED per-trace capture windows
  from each snapshot's meta.json (re-anchored by the same shift as the
  frame time) instead of one synthetic window for all traces — without
  this the segmented timing model degenerates in replay;
- GUI/profile/orchestration swap the removed window knobs
  (center_depth, half_width_*, grid_n*) for the notebook parameters
  (ground depth, pitch override, voxel pitch, Y range, X margin, norm
  edge margin, smooth sigma, comp power, tx per segment).

Headless replay smoke on the 20260922_mine_fast_true dataset passes:
51 sar3d result collections, transparent preprocessor.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

python_app/scripts/replay_raw_producer.py

@@ -20,6 +20,7 @@ never see time jump backwards. ``collection_id`` increases forever.
 from __future__ import annotations
 
 import argparse
+import json
 import logging
 from pathlib import Path
 import re
@@ -75,6 +76,22 @@ def _load_dataset(dataset_dir: Path, combos: list[ComboKey], expected_points: in
     timestamps_ns: list[int] = []
     for name, timestamp_ns in named:
         folder = dataset_dir / name
+        # Recorded per-trace capture windows from the snapshot's meta.json: the
+        # sar3d segmented timing model reconstructs the acquisition segments
+        # from them. Missing/partial meta leaves the zero "unmeasured" sentinel
+        # and the consumer falls back to its uniform-segment model.
+        windows: dict[tuple[int, int], tuple[int, int]] = {}
+        meta_path = folder / "meta.json"
+        if meta_path.is_file():
+            try:
+                meta = json.loads(meta_path.read_text())
+                for entry in meta.get("traces", []):
+                    windows[(int(entry["input"]), int(entry["output"]))] = (
+                        int(entry["capture_start_ns"]),
+                        int(entry["capture_end_ns"]),
+                    )
+            except (OSError, ValueError, KeyError, TypeError):
+                windows = {}
         traces: list[TraceData] = []
         for combo in combos:
             s21_path = folder / f"i{combo.input}_o{combo.output}_s21.npy"
@@ -94,12 +111,15 @@ def _load_dataset(dataset_dir: Path, combos: list[ComboKey], expected_points: in
                     f"{s21_path}: {s21.size} points, but radar.sweep.points = "
                     f"{expected_points}. Align the profile's sweep with the dataset."
                 )
+            window = windows.get((combo.input, combo.output), (0, 0))
             traces.append(
                 TraceData(
                     combo=combo,
                     frequency_hz=freq,
                     s11=np.zeros_like(s21),
                     s21=s21,
+                    capture_start_ns=window[0],
+                    capture_end_ns=window[1],
                 )
             )
         snapshots.append(traces)
@@ -114,28 +134,38 @@ def _build_collection(
     collection_id: int,
     frame_ns: int,
 ) -> SweepCollection:
-    """Wrap one preloaded snapshot in a SweepCollection at the given frame time."""
+    """Wrap one preloaded snapshot in a SweepCollection at the given frame time.
+
+    Recorded per-trace capture windows are re-anchored by the same shift as the
+    frame time, preserving the real intra-frame segment layout. Traces without
+    recorded windows get a synthetic window spanning the median frame gap.
+    """
     span_ns = dataset.median_gap_ns
     start_ns = frame_ns - span_ns // 2
     end_ns = frame_ns + span_ns // 2
+    shift_ns = frame_ns - dataset.timestamps_ns[index]
     traces = []
     for source in dataset.snapshots[index]:
+        if source.capture_end_ns > source.capture_start_ns:
+            capture = (source.capture_start_ns + shift_ns, source.capture_end_ns + shift_ns)
+        else:
+            capture = (start_ns, end_ns)
         traces.append(
             TraceData(
                 combo=source.combo,
                 frequency_hz=source.frequency_hz,
                 s11=source.s11,
                 s21=source.s21,
-                capture_start_ns=start_ns,
-                capture_end_ns=end_ns,
+                capture_start_ns=capture[0],
+                capture_end_ns=capture[1],
             )
         )
     return SweepCollection(
         collection_id=collection_id,
         monotonic_ns=frame_ns,
         traces=traces,
-        capture_start_ns=start_ns,
-        capture_end_ns=end_ns,
+        capture_start_ns=min(t.capture_start_ns for t in traces),
+        capture_end_ns=max(t.capture_end_ns for t in traces),
     )