feat: Major update - Physics docs, Zernike OPD, insights, NX journals, tools

Documentation:
- Add docs/06_PHYSICS/ with Zernike fundamentals and OPD method docs
- Add docs/guides/CMA-ES_EXPLAINED.md optimization guide
- Update CLAUDE.md and ATOMIZER_CONTEXT.md with current architecture
- Update OP_01_CREATE_STUDY protocol

Planning:
- Add DYNAMIC_RESPONSE plans for random vibration/PSD support
- Add OPTIMIZATION_ENGINE_MIGRATION_PLAN for code reorganization

Insights System:
- Update design_space, modal_analysis, stress_field, thermal_field insights
- Improve error handling and data validation

NX Journals:
- Add analyze_wfe_zernike.py for Zernike WFE analysis
- Add capture_study_images.py for automated screenshots
- Add extract_expressions.py and introspect_part.py utilities
- Add user_generated_journals/journal_top_view_image_taking.py

Tests & Tools:
- Add comprehensive Zernike OPD test suite
- Add audit_v10 tests for WFE validation
- Add tools for Pareto graphs and mirror data extraction
- Add migrate_studies_to_topics.py utility

Knowledge Base:
- Initialize LAC (Learning Atomizer Core) with failure/success patterns

Dashboard:
- Update Setup.tsx and launch_dashboard.py
- Add restart-dev.bat helper script

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

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

tests/debug_insights.py

@@ -0,0 +1,50 @@
+"""Debug insights availability for a study."""
+import sys
+sys.path.insert(0, ".")
+from pathlib import Path
+
+# Test study path resolution
+study_id = 'm1_mirror_cost_reduction_V9'
+STUDIES_DIR = Path('studies')
+
+# Check nested path
+for topic_dir in STUDIES_DIR.iterdir():
+    if topic_dir.is_dir():
+        study_dir = topic_dir / study_id
+        if study_dir.exists():
+            print(f"Found study at: {study_dir}")
+            print(f"Has 1_setup: {(study_dir / '1_setup').exists()}")
+            print(f"Has 2_results: {(study_dir / '2_results').exists()}")
+
+            # Check what insights are available
+            from optimization_engine.insights import list_available_insights, get_configured_insights, recommend_insights_for_study
+
+            print("\n--- Available insights (can_generate=True) ---")
+            available = list_available_insights(study_dir)
+            print(f"Count: {len(available)}")
+            for a in available:
+                print(f"  - {a}")
+
+            print("\n--- Configured insights ---")
+            configured = get_configured_insights(study_dir)
+            print(f"Count: {len(configured)}")
+            for c in configured:
+                print(f"  - {c.type}: {c.name}")
+
+            print("\n--- Recommendations ---")
+            recs = recommend_insights_for_study(study_dir)
+            print(f"Count: {len(recs)}")
+            for r in recs:
+                print(f"  - {r['type']}: {r['name']}")
+
+            # Test individual insight can_generate
+            print("\n--- Testing each insight's can_generate ---")
+            from optimization_engine.insights import get_insight, list_insights
+
+            for info in list_insights():
+                insight = get_insight(info['type'], study_dir)
+                if insight:
+                    can = insight.can_generate()
+                    print(f"  {info['type']:20} can_generate={can}")
+
+            break