feat: Add Study Insights module (SYS_16) for physics visualizations

Introduces a new plugin architecture for study-specific physics
visualizations, separating "optimizer perspective" (Analysis) from
"engineer perspective" (Insights).

New module: optimization_engine/insights/
- base.py: StudyInsight base class, InsightConfig, InsightResult, registry
- zernike_wfe.py: Mirror WFE with 3D surface and Zernike decomposition
- stress_field.py: Von Mises stress contours with safety factors
- modal_analysis.py: Natural frequencies and mode shapes
- thermal_field.py: Temperature distribution visualization
- design_space.py: Parameter-objective landscape exploration

Features:
- 5 insight types: zernike_wfe, stress_field, modal, thermal, design_space
- CLI: python -m optimization_engine.insights generate <study>
- Standalone HTML generation with Plotly
- Enhanced Zernike viz: Turbo colorscale, smooth shading, 0.5x AMP
- Dashboard API fix: Added include_coefficients param to extract_relative()

Documentation:
- docs/protocols/system/SYS_16_STUDY_INSIGHTS.md
- Updated ATOMIZER_CONTEXT.md (v1.7)
- Updated 01_CHEATSHEET.md with insights section

Tools:
- tools/zernike_html_generator.py: Standalone WFE HTML generator
- tools/analyze_wfe.bat: Double-click to analyze OP2 files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

optimization_engine/extractors/extract_zernike.py

@@ -656,7 +656,8 @@ class ZernikeExtractor:
     def extract_relative(
         self,
         target_subcase: str,
-        reference_subcase: str
+        reference_subcase: str,
+        include_coefficients: bool = False
     ) -> Dict[str, Any]:
         """
         Extract Zernike metrics relative to a reference subcase.
@@ -666,6 +667,7 @@ class ZernikeExtractor:
         Args:
             target_subcase: Subcase to analyze
             reference_subcase: Reference subcase to subtract
+            include_coefficients: Whether to include all Zernike coefficients
 
         Returns:
             Dict with relative RMS metrics and aberrations
@@ -711,7 +713,7 @@ class ZernikeExtractor:
         )
         aberrations = compute_aberration_magnitudes(rms_result['coefficients'])
 
-        return {
+        result = {
             'target_subcase': target_subcase,
             'reference_subcase': reference_subcase,
             'relative_global_rms_nm': rms_result['global_rms_nm'],
@@ -721,6 +723,12 @@ class ZernikeExtractor:
             **{f'relative_{k}': v for k, v in aberrations.items()}
         }
 
+        if include_coefficients:
+            result['coefficients'] = rms_result['coefficients'].tolist()
+            result['coefficient_labels'] = [zernike_label(j) for j in range(1, self.n_modes + 1)]
+
+        return result
+
     def extract_all_subcases(
         self,
         reference_subcase: Optional[str] = '20'