# M1 Mirror Adaptive Surrogate Optimization V11 - Results Report

**Study**: m1_mirror_adaptive_V11
**Generated**: 2025-12-03 12:14:21
**Status**: Running

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## Executive Summary

| Metric | Value |
|--------|-------|
| V10 FEA Trials (Training Data) | 90 |
| V11 FEA Trials (Validation) | 1 |
| V11 NN Trials (Surrogate) | 1000 |
| Total Trials | 1091 |
| Current Iteration | 2 |
| Best 40-20 Operational | 6.10 nm |
| Best 60-20 Operational | 14.02 nm |
| Best Manufacturing (90-20) | 29.82 nm |
| Best Weighted Objective | 1.4661 |

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## 1. Study Configuration

### Objectives (Relative Filtered RMS)

| Objective | Description | Weight | Target | Units |
|-----------|-------------|--------|--------|-------|
| `rel_filtered_rms_40_vs_20` | Filtered RMS WFE at 40 deg relative to 20 deg reference (operational tracking) | 5.0 | 4.0 | nm |
| `rel_filtered_rms_60_vs_20` | Filtered RMS WFE at 60 deg relative to 20 deg reference (operational tracking) | 5.0 | 10.0 | nm |
| `mfg_90_optician_workload` | Manufacturing deformation at 90 deg polishing (J1-J3 filtered RMS) | 1.0 | 20.0 | nm |

### Design Variables

| Parameter | Min | Max | Baseline | Units |
|-----------|-----|-----|----------|-------|
| lateral_inner_angle | 25.0 | 28.5 | 26.79 | degrees |
| lateral_outer_angle | 13.0 | 17.0 | 14.64 | degrees |
| lateral_outer_pivot | 9.0 | 12.0 | 10.4 | mm |
| lateral_inner_pivot | 9.0 | 12.0 | 10.07 | mm |
| lateral_middle_pivot | 18.0 | 23.0 | 20.73 | mm |
| lateral_closeness | 9.5 | 12.5 | 11.02 | mm |
| whiffle_min | 35.0 | 55.0 | 40.55 | mm |
| whiffle_outer_to_vertical | 68.0 | 80.0 | 75.67 | degrees |
| whiffle_triangle_closeness | 50.0 | 65.0 | 60.0 | mm |
| blank_backface_angle | 3.5 | 5.0 | 4.23 | degrees |
| inner_circular_rib_dia | 480.0 | 620.0 | 534.0 | mm |

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## 2. Optimization Progress

### Current State

- **Iteration**: 2
- **Total FEA Evaluations**: 100
- **Total NN Evaluations**: 2000
- **Convergence Patience**: 5 iterations

### Iteration History

| Iter | FEA Count | NN Count | Best 40-20 | Best 60-20 | Best Mfg | Improved |
|------|-----------|----------|------------|------------|----------|----------|
| 1 | 95 | 1000 | 6.10 | 14.02 | 29.82 | No |
| 2 | 100 | 2000 | 6.10 | 14.02 | 29.82 | No |

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## 3. Results Summary

### FEA Trials Statistics

| Metric | 40-20 (nm) | 60-20 (nm) | Mfg (nm) |
|--------|------------|------------|----------|
| Minimum | 5.97 | 13.81 | 28.54 |
| Maximum | 7.97 | 19.13 | 59.36 |
| Mean | 6.73 | 15.63 | 37.81 |
| Std Dev | 0.42 | 1.04 | 6.45 |

### Neural Network Trials Statistics

*No NN trials with objective values available yet.*

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## 4. Best Designs Found

### Best Overall Design

**Weighted Objective**: 1.4661

| Objective | Value | Target | Status |
|-----------|-------|--------|--------|
| 40-20 Operational | 6.10 nm | 4.0 nm | FAIL |
| 60-20 Operational | 14.02 nm | 10.0 nm | FAIL |
| Manufacturing (90-20) | 29.82 nm | 20.0 nm | FAIL |

**Design Parameters**:

| Parameter | Value | Unit |
|-----------|-------|------|
| lateral_inner_angle | 27.1328 | degrees |
| lateral_outer_angle | 13.8125 | degrees |
| lateral_outer_pivot | 10.9219 | mm |
| lateral_inner_pivot | 10.0781 | mm |
| lateral_middle_pivot | 18.3906 | mm |
| lateral_closeness | 10.5781 | mm |
| whiffle_min | 47.1875 | mm |
| whiffle_outer_to_vertical | 73.8125 | degrees |
| whiffle_triangle_closeness | 52.5781 | mm |
| blank_backface_angle | 3.8516 | degrees |
| inner_circular_rib_dia | 613.4375 | mm |

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## 5. Neural Surrogate Performance

### Training Configuration

| Setting | Value |
|---------|-------|
| Architecture | MLP [128, 256, 256, 128, 64] |
| Dropout | 0.1 |
| Batch Size | 16 |
| Learning Rate | 0.001 |
| MC Dropout Samples | 30 |

### Model Checkpoints

| File | Description |
|------|-------------|
| `surrogate_initial.pt` | Surrogate model checkpoint |
| `surrogate_iter1.pt` | Surrogate model checkpoint |
| `surrogate_iter2.pt` | Surrogate model checkpoint |

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## 6. Trial Source Distribution

| Source | Count | Percentage |
|--------|-------|------------|
| V10_FEA (Training) | 90 | 8.2% |
| V11_FEA (Validation) | 1 | 0.1% |
| V11_NN (Surrogate) | 1000 | 91.7% |

### Speedup Analysis

| Metric | FEA | Neural | Ratio |
|--------|-----|--------|-------|
| Trial Count | 91 | 1000 | 11x |
| Est. Time per Trial | ~5 min | ~10 ms | ~30,000x |

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## 7. Engineering Recommendations

### Optical Performance Analysis

Based on the optimization results:

- **40-20 Tracking**: NEEDS IMPROVEMENT - Above target (6.10 nm, target: 4.0 nm)
- **60-20 Tracking**: GOOD - Close to target (14.02 nm, target: 10.0 nm)
- **Manufacturing**: GOOD - Close to target (29.82 nm, target: 20.0 nm)

### Next Steps

1. **If optimization is running**: Monitor convergence in the dashboard
2. **If converged**: Validate best design with detailed FEA analysis
3. **If targets not met**: Consider:
   - Expanding design variable ranges
   - Adding more design variables
   - Increasing FEA validation budget

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## 8. Files Generated

| File | Description |
|------|-------------|
| `3_results/study.db` | Optuna database with all trials |
| `3_results/adaptive_state.json` | Iteration-by-iteration state |
| `3_results/surrogate_*.pt` | Neural model checkpoints |
| `3_results/optimization.log` | Detailed execution log |

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## 9. Dashboard Visualization

### Trial Source Differentiation

| Trial Type | Marker | Color |
|------------|--------|-------|
| FEA | Circle | Blue (#2196F3) |
| NN | Cross | Orange (#FF9800) |

### Access Points

| Dashboard | URL | Purpose |
|-----------|-----|---------|
| Atomizer Dashboard | http://localhost:3000 | Real-time monitoring, charts |
| Optuna Dashboard | http://localhost:8081 | Trial history, Pareto analysis |

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*Report auto-generated by Atomizer V11 Report Generator*
*Last updated: 2025-12-03 12:14:21*