CLAUDE: lean pose eigen fix - pass imp.eig_sub_frac (was hardcoded 0.0)

Root cause of the eigen-ON 3x slow pose convergence (probed synthetically):
pedestal-included covariance inflates the peak eigen lambdas; sqrt(lambda)
reaches imp.eig_max_sqrt (6) where setEigenTransform's k=max(0,1/sqrt(l)-1/6)
ZEROES the tile's measurement components - blur-wide tiles (sigma ~2.5-3 px,
the lean consolidated-average x center regime) contribute nothing and the
solve limps on the few sharp tiles. Companion zero-build retune: raise
imp.eig_max_sqrt 6 -> ~20 (dialog) when re-enabling eigen. Solver algebra
verified consistent (jt, both Y-Fx variants, WJtJ share the transform).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

src/main/java/com/elphel/imagej/cuas/rt/CuasPoseRT.java

@@ -425,7 +425,10 @@ public class CuasPoseRT {
 					clt_parameters.imp.eig_min_abs,   // abs_min
 					clt_parameters.imp.eig_min_rel,   // rel_min
 					clt_parameters.imp.min_str_sum,   // min_peak (single channel = the "sum")
-					0.0,                              // eig_sub_frac (select only)
+					clt_parameters.imp.eig_sub_frac,  // pedestal suppression - was hardcoded 0.0: pedestal-inflated
+					                                  // eigen lambdas -> sqrt(l) hits eig_max_sqrt -> setEigenTransform
+					                                  // k=max(0,1/sqrt(l)-1/max) ZEROES wide-peak tiles (the eigen-ON
+					                                  // 3x slow convergence). By Claude on 07/12/2026, Andrey's go.
 					null,                             // fpn_mask (input is FPN-subtracted)
 					false,                            // ignore_border
 					null,                             // debug_data