CLAUDE: Phase B lean measurement engine (curt_pose_lean) - existing kernels + Java only

TD-average the 16 sensors BEFORE correlation (multiply averages, not average
products), single conj-multiply vs the persistent virtual-center TD. Zero new
CUDA - assembled from proven pieces:
- CuasPoseRT.leanMeasure(): interCorrTD(sensor_mask=0) = tasks(pose)+offsets+
  convert_direct only -> getCltData/CuasTD.consolidateSensorsTD/setCltData
  (the validated CPU bridge, future clt_average_sensors kernel) ->
  setSensorMaskInter(1)+execCorr2D_inter_TD (single conj-multiply) ->
  TDCorrTile.getFromGpu + convertTDtoPD (JNA-validated CuasMotion path,
  FZ-normalize + PD) -> Correlation2d.getMaxXYCmEig (peak+eigen, the GPU
  argmax kernel oracle). Correlation stages are geometry-blind - projection/
  distortion is baked into the average-camera tasks (per Andrey).
- CuasPoseRT.leanFitScene(): same IntersceneLma solver + exit rules as the
  oracle engine; fills lma_rms/coord_motion_rslt so CSV/-POSE-RT-HYPER are
  unchanged (A2-03 = direct oracle).
- curt_pose_lean checkbox 'Pose test lean correlation (B)'.
v1 differences from oracle (documented): NO motion-blur compensation (compare
vs NOMB baseline: 0.287/0.282/0.106 mrad), no FPN peak masking (input is
FPN-subtracted by A2 conditioning), no moving-object filter, min_confidence=0.

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

src/main/java/com/elphel/imagej/tileprocessor/IntersceneMatchParameters.java

@@ -1133,6 +1133,7 @@ min_str_neib_fpn	0.35
 	public int      curt_pose_num_tiles =  150;   // tile-selection compute budget: after the gate, keep this many BEST (smallest max-residual) tiles; threshold-free rank - always yields the best available population. <=0 - no cap. // By Claude on 07/04/2026
 	public boolean  curt_pose_recalc =     false; // force a FULL-selection pose run that regenerates the -POSE-RT-TILE-CALIB calibration even if it exists. Default (false): automatic FPN-style reuse - if -POSE-RT-TILE-CALIB exists, derive the selection from it (NMAD gate + rank-N) and use it; if not, run full and generate it. // By Claude on 07/04/2026
 	public boolean  curt_pose_raw =        false; // phase A2 ingest: per scene read RAW /jp4/, condition with the current calibration (CuasConditioning: rowcol + photometric + FPN) and FORCE-upload straight to the GPU, bypassing the QuadCLT prepared image_data (which carries the old broken Photogrammetric Calibration). Judge by own dstored quality, not agreement with phase A. // By Claude on 07/05/2026
+	public boolean  curt_pose_lean =       false; // phase B measurement engine: TD-average the 16 sensors (CuasTD, CPU bridge) then ONE conj-multiply vs the virtual-center TD -> FZ-normalize -> PD -> argmax+eigen (getMaxXYCmEig) -> 3-angle LMA. All existing GPU kernels. v1: NO motion-blur compensation - compare vs the NOMB baseline. // By Claude on 07/05/2026
 	//=== LoG prefilter ===
 	public double   curt_psf_radius =      1.0;   // sensor PSF radius for LoG pre-filter
 	public double   curt_n_sigma =         4.0;   // cutoff LoG kernel array, number of sigmas
@@ -3434,6 +3435,8 @@ min_str_neib_fpn	0.35
 				"Force a FULL pose run that regenerates -POSE-RT-TILE-CALIB even if it exists. Default OFF = automatic reuse: use the calibration if present (filtered run), else run full and generate it.");
 		gd.addCheckbox ("Pose test raw-jp4 ingest (A2)",             this.curt_pose_raw, // By Claude on 07/05/2026
 				"Per scene: read RAW /jp4/, condition with the CURRENT calibration (rowcol+photometric+FPN, CuasConditioning) and force-upload straight to the GPU, bypassing the prepared image_data (old broken Photogrammetric Calibration).");
+		gd.addCheckbox ("Pose test lean correlation (B)",            this.curt_pose_lean, // By Claude on 07/05/2026
+				"Phase B measurement: TD-average the 16 sensors, then ONE conj-multiply vs the virtual-center TD -> FZ-normalize -> PD -> argmax+eigen -> 3-angle LMA. v1 has NO motion-blur compensation (compare vs the NOMB baseline).");
 
 		gd.addMessage("=== LoG prefilter ===");
 		gd.addNumericField("Optical PSF radius",                     this.curt_psf_radius, 6,8,"pix",
@@ -5032,6 +5035,7 @@ min_str_neib_fpn	0.35
 		this.curt_pose_num_tiles =(int) gd.getNextNumber();       // By Claude on 07/04/2026
 		this.curt_pose_recalc =         gd.getNextBoolean();      // By Claude on 07/04/2026
 		this.curt_pose_raw =            gd.getNextBoolean();      // By Claude on 07/05/2026
+		this.curt_pose_lean =           gd.getNextBoolean();      // By Claude on 07/05/2026
 
 		this.curt_psf_radius =          gd.getNextNumber();
 		this.curt_n_sigma =             gd.getNextNumber();
@@ -6404,6 +6408,7 @@ min_str_neib_fpn	0.35
 		properties.setProperty(prefix+"curt_pose_num_tiles",  this.curt_pose_num_tiles+""); // int     // By Claude on 07/04/2026
 		properties.setProperty(prefix+"curt_pose_recalc",     this.curt_pose_recalc+"");    // boolean // By Claude on 07/04/2026
 		properties.setProperty(prefix+"curt_pose_raw",        this.curt_pose_raw+"");       // boolean // By Claude on 07/05/2026
+		properties.setProperty(prefix+"curt_pose_lean",       this.curt_pose_lean+"");      // boolean // By Claude on 07/05/2026
 
 		properties.setProperty(prefix+"curt_psf_radius",      this.curt_psf_radius+"");     // double
 		properties.setProperty(prefix+"curt_n_sigma",         this.curt_n_sigma+"");        // double
@@ -6810,6 +6815,7 @@ min_str_neib_fpn	0.35
 		if (properties.getProperty(prefix+"curt_pose_num_tiles")!=null)  this.curt_pose_num_tiles=Integer.parseInt(properties.getProperty(prefix+"curt_pose_num_tiles"));     // By Claude on 07/04/2026
 		if (properties.getProperty(prefix+"curt_pose_recalc")!=null)     this.curt_pose_recalc=Boolean.parseBoolean(properties.getProperty(prefix+"curt_pose_recalc"));       // By Claude on 07/04/2026
 		if (properties.getProperty(prefix+"curt_pose_raw")!=null)        this.curt_pose_raw=Boolean.parseBoolean(properties.getProperty(prefix+"curt_pose_raw"));             // By Claude on 07/05/2026
+		if (properties.getProperty(prefix+"curt_pose_lean")!=null)       this.curt_pose_lean=Boolean.parseBoolean(properties.getProperty(prefix+"curt_pose_lean"));           // By Claude on 07/05/2026
 
 		if (properties.getProperty(prefix+"curt_psf_radius")!=null)      this.curt_psf_radius=Double.parseDouble(properties.getProperty(prefix+"curt_psf_radius"));
 		if (properties.getProperty(prefix+"curt_n_sigma")!=null)         this.curt_n_sigma=Double.parseDouble(properties.getProperty(prefix+"curt_n_sigma"));
@@ -9101,6 +9107,7 @@ min_str_neib_fpn	0.35
 		imp.curt_pose_num_tiles =   this.curt_pose_num_tiles; // By Claude on 07/04/2026
 		imp.curt_pose_recalc =      this.curt_pose_recalc;    // By Claude on 07/04/2026
 		imp.curt_pose_raw =         this.curt_pose_raw;       // By Claude on 07/05/2026
+		imp.curt_pose_lean =        this.curt_pose_lean;      // By Claude on 07/05/2026
 		imp.curt_psf_radius =       this.curt_psf_radius;
 		imp.curt_n_sigma =          this.curt_n_sigma;
 		// rleak0 imp.X copy removed 2026-06-20 (LReLU now LINEAR); predecessor code at git tag cuas-layer1. // By Claude on 06/20/2026