2 Commits

Author	SHA1	Message	Date
Antoine	1bb201e0b7	feat: Add post-optimization tools and mandatory best design archiving ... New Tools (tools/): - analyze_study.py: Generate comprehensive optimization reports - find_best_iteration.py: Find best iteration folder, optionally copy it - archive_best_design.py: Archive best design to 3_results/best_design_archive/<timestamp>/ Protocol Updates: - OP_02_RUN_OPTIMIZATION.md v1.1: Add mandatory archive_best_design step in Post-Run Actions. This MUST be done after every optimization run. V14 Updates: - run_optimization.py: Auto-archive best design at end of optimization - optimization_config.json: Expand bounds for V14 continuation - lateral_outer_angle: min 13->11 deg (was at 4.7%) - lateral_inner_pivot: min 7->5 mm (was at 8.1%) - lateral_middle_pivot: max 23->27 mm (was at 99.4%) - whiffle_min: max 60->72 mm (was at 96.3%) Usage: python tools/analyze_study.py m1_mirror_adaptive_V14 python tools/find_best_iteration.py m1_mirror_adaptive_V14 python tools/archive_best_design.py m1_mirror_adaptive_V14 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-12 10:28:35 -05:00
Antoine	48404fd743	feat: Add Zernike wavefront viewer and V14 TPE optimization study ... Dashboard Zernike Analysis: - Add ZernikeViewer component with tabbed UI (40°, 60°, 90° vs 20°) - Generate 3D surface mesh plots with Mesh3d triangulation - Full 50-mode Zernike coefficient tables with mode names - Manufacturing metrics for 90_vs_20 (optician workload analysis) - OP2 availability filter for FEA trials only - Fix duplicate trial display with unique React keys - Tab switching with proper event propagation Backend API Enhancements: - GET /studies/{id}/trials/{num}/zernike - Generate Zernike HTML on-demand - GET /studies/{id}/zernike-available - List trials with OP2 files - compute_manufacturing_metrics() for aberration analysis - compute_rms_filter_j1to3() for optician workload metric M1 Mirror V14 Study: - TPE (Tree-structured Parzen Estimator) optimization - Seeds from 496 prior FEA trials (V11+V12+V13) - Weighted-sum objective: 5*obj_40 + 5*obj_60 + 1*obj_mfg - Multivariate TPE with constant_liar for efficient exploration - Ready for 8-hour overnight runs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-10 21:34:07 -05:00