31 Commits

Author SHA1 Message Date
2462356922 chore(hq): daily sync 2026-04-06 2026-04-06 09:00:57 +00:00
339754ca3c chore(hq): daily sync 2026-04-02 2026-04-02 09:00:44 +00:00
b45896a391 chore(hq): daily sync 2026-04-01 2026-04-01 09:00:44 +00:00
4341215af2 chore(hq): daily sync 2026-03-28 2026-03-28 09:00:40 +00:00
540d97a7e1 chore(hq): daily sync 2026-03-27 2026-03-27 09:00:44 +00:00
fcc716db95 chore(hq): daily sync 2026-03-26 2026-03-26 09:00:36 +00:00
4d09ce2a2e chore(hq): daily sync 2026-03-20 2026-03-20 09:00:26 +00:00
f14cbfd6aa chore(hq): daily sync 2026-03-12 2026-03-12 09:00:33 +00:00
cc683de192 chore(hq): daily sync 2026-03-11 2026-03-11 09:00:32 +00:00
d17611eec0 chore(hq): daily sync 2026-03-10 2026-03-10 09:00:27 +00:00
075ad36221 feat(V&V): Phase 2 — prysm cross-validation + report figure generator
- cross_validate_prysm.py: 4 tests against prysm v0.21.1
- Noll convention variant identified and documented (sin/cos swap on paired modes)
- Aberration magnitudes agree to <1e-13 nm (machine precision)
- RMS WFE agreement: 1.4e-14 nm difference
- generate_validation_report.py: Creates 9 publication-quality figures
- Figures output to PKM project folder

Phase 2 conclusion: Atomizer Zernike implementation is verified correct.
2026-03-09 16:03:42 +00:00
4146e9d8f1 feat(V&V): Updated to FEA CSV format + real M2 mesh injection
- Output now matches WFE_from_CSV_OPD format: ,X,Y,Z,DX,DY,DZ (meters)
- Suite regenerated using real M2 mesh (357 nodes, 308mm diameter)
- All 14 clean test cases: PASS (0.000 nm error)
- 3 noisy cases: expected FAIL due to low node count amplifying noise
- Added --inject mode to use real FEA mesh geometry
- Added lateral displacement test case
2026-03-09 15:56:23 +00:00
f9373bee99 feat(V&V): Zernike pipeline validation - synthetic WFE generator + round-trip validator
- generate_synthetic_wfe.py: Creates synthetic OPD surfaces from known Zernike coefficients
- validate_zernike_roundtrip.py: Round-trip validation (generate → fit → compare)
- validation_suite/: 18 test cases (single mode, multi-mode, noisy, edge cases)
- All 18 test cases pass with 0.000 nm error (clean) and <0.3 nm (10nm noise)
- M1 params: 1200mm dia, 135.75mm inner radius, 50 Noll modes

Project: P-Zernike-Validation (GigaBIT M1)
Requested by: Adyn Miles (StarSpec) for risk reduction before M2/M3 ordering
2026-03-09 15:49:06 +00:00
9b0769f3f4 chore(hq): daily sync 2026-03-09 2026-03-09 09:00:23 +00:00
11d212a476 chore(hq): daily sync 2026-03-08 2026-03-08 09:00:23 +00:00
b3162aa78d Tier 2 dev workflow: Windows test runner + result sync
- run_tests.bat: double-click test runner with JSON result capture
- run_script.bat: run any script with output capture
- test_results/ folder for Syncthing-based result sharing
- Auto-mark NX-dependent tests for --quick mode
- pytest-json-report for structured results
2026-03-07 14:07:32 +00:00
a069a9f21f chore(hq): daily sync 2026-03-07 2026-03-07 10:00:24 +00:00
ae120c653e chore(hq): daily sync 2026-03-06 2026-03-06 10:00:27 +00:00
1b83159050 Fix NX path to DesigncenterNX2512 2026-03-05 15:34:55 +00:00
c930728b1c Add GigaBIT M1 frame stiffness characterization project
- 3 studies: sensitivity (Method D), stiffness sweep (Method B), robustness
- Atomizer specs with run matrices, Zernike annular OPD extractor
- War-room validated hybrid B+D method
2026-03-05 15:34:41 +00:00
d299e168a3 chore(hq): daily sync 2026-03-05 2026-03-05 10:00:22 +00:00
a6765d8a1f chore(hq): daily sync 2026-03-04 2026-03-04 10:00:20 +00:00
119011b420 chore(hq): daily sync 2026-03-02 2026-03-02 10:05:24 +00:00
cf29e0aba5 chore(hq): daily sync 2026-03-01 2026-03-01 10:00:23 +00:00
1873e1865c chore(hq): daily sync 2026-02-28 2026-02-28 10:00:23 +00:00
25c415b52f chore(hq): daily sync 2026-02-27 2026-02-27 10:00:23 +00:00
6b17d73ef7 chore(hq): daily sync 2026-02-26 2026-02-26 10:00:21 +00:00
074632d0a9 chore(hq): daily sync 2026-02-25 2026-02-25 10:00:23 +00:00
b448ca6268 auto: daily sync 2026-02-25 08:00:14 +00:00
2026572d91 chore(hq): daily sync 2026-02-24 2026-02-24 10:00:18 +00:00
c7ef38282f auto: daily sync 2026-02-24 08:00:09 +00:00
110 changed files with 14047 additions and 691 deletions

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@@ -142,3 +142,7 @@ C:*
# project-context-sync (auto-generated, local only)
PROJECT_STATE.md
# Test results (synced via Syncthing, not git)
test_results/*.json
test_results/*.log

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# Arsenal Development Plan — Atomizer Multi-Solver Integration
> **Status:** DRAFT — pending CEO approval
> **Date:** 2026-06-25
> **Authors:** Technical Lead (architecture + feasibility), Auditor (risk + gates), Manager (orchestration)
> **Source docs:** Arsenal V3 Final, Tool-Agnostic Architecture, Multi-Solver Roadmap, Arsenal Reference
---
## 1. Executive Summary
**Goal:** Integrate the 80/20 highest-leverage open-source tools from the Atomizer Arsenal into V2, enabling fully scripted optimization without NX GUI dependency.
**What this unlocks:**
- Linux-headless optimization loops (no NX license bottleneck)
- 100s1000s of trials per campaign (vs. current NX-constrained budgets)
- Multi-solver validation (CalculiX vs Nastran cross-checking)
- Path to CFD and multi-physics (expansion sprints)
**The 80/20 stack (6 sprints):**
| Priority | Tool | Category | Why |
|----------|------|----------|-----|
| 🔴 P1 | CalculiX | FEA solver | Free structural solver, covers 80% of use cases |
| 🔴 P1 | Gmsh | Meshing | Universal mesher, Python API, STEP import |
| 🔴 P1 | Build123d | CAD | Code-native geometry, LLM-perfect, headless |
| 🔴 P1 | meshio + pyNastran | Converters | Format glue between all tools |
| 🔴 P1 | PyVista + ParaView | Post-processing | Automated visualization pipeline |
| 🟡 P2 | pymoo | Optimization | Multi-objective (NSGA-II/III) |
| 🟡 P2 | OpenFOAM | CFD | Thermal/flow screening |
| 🟢 P3 | preCICE | Coupling | Thermo-structural coupling |
| 🟢 P3 | OpenMDAO | MDO | System-level optimization |
**Antoine's time commitment:** ~23 hours per sprint for validation gates.
**HQ autonomous work:** days of implementation per sprint.
---
## 2. Architecture Overview
The Arsenal integrates through Atomizer's 3-layer tool-agnostic architecture:
```
┌─────────────────────────────────────────────────────────┐
│ Layer 3: OPTIMIZATION INTELLIGENCE │
│ AtomizerSpec v3.0 │ Optuna/pymoo │ LAC │ LLM Agents │
│ ── never touches tool-specific formats ── │
├─────────────────────────────────────────────────────────┤
│ Layer 2: TOOL PROCESSORS (deterministic Python) │
│ Geometry: nx_geometry │ build123d_geometry │ step_import│
│ Meshing: gmsh_mesher │ nx_mesher │
│ Solvers: nastran_solver │ calculix_solver │ openfoam │
│ Convert: meshio_converter │ pynastran_bridge │
│ Post: pyvista_post │ paraview_post │
├─────────────────────────────────────────────────────────┤
│ Layer 1: UNIVERSAL DATA CONTRACTS │
│ AtomizerGeometry │ AtomizerMesh │ AtomizerBCs │
│ AtomizerMaterial │ AtomizerResults │
│ ── solver-agnostic dataclasses (the Rosetta Stone) ── │
└─────────────────────────────────────────────────────────┘
```
**Key rule:** Adding a new tool = writing ONE processor file. Contracts never change per tool.
### 2.1 V2 Repository Target Layout
```
atomizer/
├── contracts/
│ ├── geometry.py # AtomizerGeometry
│ ├── mesh.py # AtomizerMesh
│ ├── boundary_conditions.py # AtomizerBCs
│ ├── material.py # AtomizerMaterial
│ ├── results.py # AtomizerResults
│ └── validators.py # Cross-contract sanity checks
├── processors/
│ ├── base.py # Abstract base classes
│ ├── geometry/
│ │ ├── build123d_geometry.py
│ │ ├── nx_geometry.py
│ │ └── step_import.py
│ ├── meshing/
│ │ ├── gmsh_mesher.py
│ │ └── nx_mesher.py
│ ├── solvers/
│ │ ├── nastran_solver.py
│ │ ├── calculix_solver.py
│ │ └── openfoam_solver.py # Sprint 4
│ ├── converters/
│ │ ├── meshio_converter.py
│ │ └── pynastran_bridge.py
│ └── postprocessing/
│ ├── pyvista_post.py
│ └── paraview_post.py
├── orchestrator/
│ ├── pipeline.py # Solver-agnostic run sequencing
│ ├── auto_select.py # Toolchain routing logic
│ └── coupling.py # Sprint 5: preCICE
├── optimization/
│ ├── engine.py # Core optimization loop
│ ├── optuna_backend.py
│ └── pymoo_backend.py # Sprint 6
└── mcp_servers/ # Sprint 2-3
├── calculix/
├── gmsh/
├── build123d/
└── pynastran/
```
---
## 3. Current Environment Assessment
| Item | Status | Action Required |
|------|--------|----------------|
| V2 repo (`atomizer/` package) | ❌ Not yet created — still V1 flat layout | Sprint 0: scaffold package structure |
| pyNastran | ✅ Installed | None |
| CalculiX (ccx) | ❌ Not installed | `apt install calculix-ccx` or Docker |
| Gmsh | ❌ Not installed | `pip install gmsh pygmsh` |
| Build123d | ❌ Not installed | `pip install build123d` |
| meshio | ❌ Not installed | `pip install meshio` |
| PyVista | ❌ Not installed | `pip install pyvista` |
| ParaView/pvpython | ❌ Not installed | `apt install paraview` |
| pymoo | ❌ Not installed | `pip install pymoo` (Sprint 6) |
| OpenFOAM | ❌ Not installed | Docker recommended (Sprint 4) |
**First blocker:** Package installs on T420. Either direct install or Docker-based dev environment.
---
## 4. Sprint Plan
### Sprint 0: Environment + Scaffold (12 days)
**Goal:** Working dev environment and V2 package skeleton.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Install core Python packages (gmsh, build123d, meshio, pyvista) | Developer/IT | 🟢 Full | Working imports |
| Install CalculiX (`apt install calculix-ccx`) | Developer/IT | 🟢 Full | `ccx` on PATH |
| Scaffold `atomizer/` package with `__init__.py` stubs | Developer | 🟢 Full | Package importable |
| Create `tests/benchmarks/` with 3 analytical reference cases | Tech Lead | 🟢 Full | JSON expected-value files |
**Analytical benchmarks (known-answer problems):**
1. **Cantilever beam** — tip deflection = PL³/3EI (linear static)
2. **Plate with hole** — SCF ≈ 3.0 at hole edge (stress concentration)
3. **Simply supported beam** — first natural frequency = (π²/L²)√(EI/ρA) (modal)
**Antoine gate:** None — this is infrastructure.
---
### Sprint 1: Contracts + Structural Bridge Baseline (1 week)
**Goal:** Contract-driven NX/Nastran baseline with format conversion verification.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Implement 5 contract dataclasses | Developer | 🟢 95% | `contracts/*.py` with full type hints |
| Implement `validators.py` | Developer | 🟢 95% | Unit-consistent checks, BC physics checks |
| Implement `processors/base.py` abstract classes | Tech Lead → Developer | 🟢 95% | `GeometryProcessor`, `MeshProcessor`, `SolverProcessor` ABCs |
| Wrap existing NX/Nastran into `nastran_solver.py` | NX Expert → Developer | 🟡 70% | Existing workflow through new interface |
| Implement `meshio_converter.py` | Developer | 🟢 95% | BDF ↔ INP ↔ MSH ↔ VTK round-trip |
| Implement `pynastran_bridge.py` | Developer | 🟢 95% | BDF read/modify, OP2 parse → AtomizerResults |
| Implement `pipeline.py` skeleton | Tech Lead → Developer | 🟢 90% | Sequential pipeline runner |
| Unit tests for all contracts + converters | Developer | 🟢 95% | pytest suite passing |
**Success criterion:** Existing NX/Nastran workflow passes through new architecture with zero regression.
**Antoine gate:** Provide 3 trusted benchmark studies with known expected outputs for parity check.
**Risk:** Hidden assumptions in legacy NX/Nastran parsing may break when abstracted.
**Mitigation:** Run full diff on old vs new output before declaring parity.
---
### Sprint 2: Open Structural Lane — CalculiX + Gmsh + Build123d (12 weeks)
**Goal:** Full Linux-headless structural optimization loop with zero NX dependency.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Implement `build123d_geometry.py` | Developer | 🟢 90% | DV dict → Build123d → STEP |
| Implement `step_import.py` | Developer | 🟢 95% | STEP → AtomizerGeometry |
| Implement `gmsh_mesher.py` | Developer | 🟢 90% | STEP → Gmsh → AtomizerMesh (with quality metrics) |
| Implement `calculix_solver.py` | Tech Lead → Developer | 🟡 80% | .inp generation + ccx exec + .frd parsing → AtomizerResults |
| Implement `pyvista_post.py` | Developer | 🟢 95% | AtomizerResults → contour plots (PNG/VTK) |
| Implement `optuna_backend.py` (adapted) | Optimizer → Developer | 🟢 90% | Contract-aware Optuna loop |
| Run 3 analytical benchmarks through full pipeline | Tech Lead | 🟢 90% | Pass/fail report vs known answers |
| CalculiX vs Nastran parity comparison | Tech Lead | 🟡 70% | Delta report on shared benchmark |
**Demo scenario:**
```
Parametric bracket (thickness, fillet_radius, rib_width)
→ Build123d generates STEP
→ Gmsh meshes
→ CalculiX solves (SOL 101 equivalent)
→ PyVista renders stress contour
→ Optuna optimizes for min mass @ stress constraint
→ Full loop on Linux, no NX
```
**Success criteria:**
- [ ] 3 analytical benchmarks pass within 2% of theory
- [ ] CalculiX vs Nastran delta < 5% on stress/displacement for shared benchmark
- [ ] Full optimization loop completes 50+ trials unattended
**Antoine gate:**
1. Approve CalculiX vs Nastran parity tolerance (proposed: 5% on stress, 3% on displacement)
2. Validate one benchmark result manually
3. Review Build123d geometry quality for representative model
**Risks:**
- Gmsh mesh quality on sharp fillets → **Mitigation:** define mesh size presets, add Jacobian quality check
- CalculiX .frd parsing edge cases → **Mitigation:** test against multiple element types (CQUAD4 equivalent, CHEXA equivalent)
- Build123d geometry failures on complex shapes → **Mitigation:** start with simple parametric bracket, escalate complexity gradually
---
### Sprint 3: MVP Hardening + Client-Grade Post-Processing (1 week)
**Goal:** Production-quality outputs from both solver lanes, side-by-side comparison capability.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Implement `paraview_post.py` | Developer | 🟢 90% | Publication-quality figures (headless pvpython) |
| Implement `auto_select.py` | Tech Lead → Developer | 🟡 75% | Toolchain routing rules (NX lane vs open lane) |
| Implement `spec/validator.py` | Developer | 🟢 95% | AtomizerSpec v3.0 schema validation |
| Dual-lane comparison report | Post-Processor → Developer | 🟢 85% | Side-by-side Nastran vs CalculiX with pass/fail |
| Regression test suite | Auditor → Developer | 🟢 90% | Automated benchmark + parity checks |
| MCP-CalculiX server | MCP Engineer → Developer | 🟡 70% | Tool-call interface for CalculiX |
| MCP-Gmsh server | MCP Engineer → Developer | 🟡 70% | Tool-call interface for Gmsh |
| Documentation: Integration Guide | Secretary | 🟢 95% | `docs/DEV/INTEGRATION-GUIDE.md` |
**Success criteria:**
- [ ] Dual-lane comparison passes on all 3 benchmarks
- [ ] Automated regression suite runs in CI
- [ ] MCP servers pass basic smoke tests
**Antoine gate:**
1. Approve report template and required figure list
2. Define auto-select routing rules (when NX vs when open-source)
3. Sign off MVP as "usable for real studies"
**🏁 MVP EXIT — after Sprint 3, Atomizer can run full structural optimization on Linux without NX.**
---
### Sprint 4: CFD Lane — OpenFOAM (12 weeks)
**Goal:** Automated CFD/thermal screening within the same orchestration framework.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Install OpenFOAM (Docker recommended) | IT | 🟢 Full | Working `simpleFoam` / `buoyantSimpleFoam` |
| Implement `openfoam_solver.py` | Tech Lead → Developer | 🟡 65% | Case generation + execution + result parsing |
| Extend `gmsh_mesher.py` with CFD presets | Developer | 🟡 75% | Boundary layer meshing, inflation layers |
| Extend contracts for CFD quantities | Tech Lead → Developer | 🟡 70% | Pressure, velocity, temperature fields in AtomizerResults |
| 2 CFD validation cases | Tech Lead | 🟡 60% | Lid-driven cavity + pipe flow (known analytical/reference) |
**Demo scenario:**
```
Electronics enclosure airflow
→ STEP → Gmsh CFD mesh → OpenFOAM (buoyantSimpleFoam)
→ PyVista thermal map + pressure drop
→ Variant ranking by max temperature
```
**Antoine gate:**
1. Lock one validated starter case template before generalization
2. Define screening-fidelity defaults (mesh size, turbulence model)
3. Validate thermal results against engineering judgment
**Risk:** OpenFOAM setup complexity is high. Dictionary validation is error-prone.
**Mitigation:** Start with one locked template, generalize only after it works.
---
### Sprint 5: Coupled Thermo-Structural — preCICE (12 weeks)
**Goal:** Two-way coupled OpenFOAM ↔ CalculiX simulations.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Install preCICE + adapters | IT | 🟢 Full | preCICE + CalculiX adapter + OpenFOAM adapter |
| Implement `coupling.py` | Tech Lead → Developer | 🟡 60% | Coupled orchestration with convergence monitoring |
| 1 coupled benchmark | Tech Lead | 🔴 50% | Heated plate with thermal expansion |
**Antoine gate:** Approve coupling parameters and convergence criteria.
**Risk:** Coupling divergence, debugging complexity.
**Mitigation:** Conservative time-step, explicit convergence checks, one golden benchmark.
---
### Sprint 6: Multi-Objective + MDO — pymoo + OpenMDAO (12 weeks)
**Goal:** Pareto optimization across multiple objectives and disciplines.
| Task | Owner | Autonomy | Deliverable |
|------|-------|----------|-------------|
| Implement `pymoo_backend.py` | Optimizer → Developer | 🟢 85% | NSGA-II/III alongside Optuna |
| Pareto front visualization | Post-Processor → Developer | 🟢 90% | Interactive Pareto plots |
| OpenMDAO integration (if scope allows) | Tech Lead → Developer | 🟡 60% | MDO wiring for multi-discipline |
| 1 multi-objective demo | Optimizer + Tech Lead | 🟡 70% | Mass vs stress vs temperature Pareto |
**Antoine gate:** Define objective scaling and hard constraints.
---
## 5. Semi-Autonomous Workflow
```
┌─────────────────────────────────────────────────────────┐
│ PER-SPRINT LOOP │
│ │
│ 1. Antoine picks sprint / approves scope [YOU] │
│ 2. HQ researches + designs architecture [AUTO] │
│ 3. Auditor reviews design for risks [AUTO] │
│ 4. Antoine approves architecture (15 min) [YOU] │
│ 5. Developer implements + writes tests [AUTO] │
│ 6. Auditor reviews code against protocols [AUTO] │
│ 7. Antoine validates one benchmark (2-3 hrs) [YOU] │
│ 8. Merge → next sprint [AUTO] │
│ │
│ Your time: ~2-3 hours/sprint │
│ HQ time: days of implementation/sprint │
└─────────────────────────────────────────────────────────┘
```
**What runs fully autonomously (steps 2-3, 5-6):**
- Research tool capabilities, formats, Python bindings
- Design processor architecture and contract extensions
- Implement Python adapters, parsers, converters
- Write and run unit tests against analytical benchmarks
- Audit code against Atomizer protocols
- Generate regression reports
**What needs your engineering judgment (steps 1, 4, 7):**
- Tool priority sequencing (strategic call)
- Architecture approval (15-min review)
- Cross-solver parity acceptance (is 5% delta OK?)
- Benchmark validation (does this match physics?)
- Geometry quality assessment (does Build123d output look right?)
---
## 6. Quality Gates (Auditor-Defined)
### Per-Processor Gate
- [ ] Processor implements abstract base class correctly
- [ ] Round-trip test: contract → native format → solve → parse → contract
- [ ] At least 1 analytical benchmark passes within tolerance
- [ ] Unit test coverage ≥ 80% for parser logic
- [ ] Error handling for: missing files, solver crash, malformed output
- [ ] Documentation: input/output formats, known limitations
### Per-Sprint Gate
- [ ] All processor gates pass
- [ ] Integration test: full pipeline from AtomizerSpec → results
- [ ] Regression: no existing tests broken
- [ ] Parity check (if applicable): new solver vs reference solver
- [ ] Tech Lead sign-off on physics validity
- [ ] Auditor sign-off on code quality + protocol compliance
### MVP Gate (Sprint 3 Exit)
- [ ] 3 analytical benchmarks pass (cantilever, plate-hole, modal)
- [ ] CalculiX vs Nastran parity < 5% stress, < 3% displacement
- [ ] 50-trial optimization completes unattended
- [ ] Dual-lane comparison report generates automatically
- [ ] Antoine validates one real-world study through the new pipeline
- [ ] All regression tests pass in CI
---
## 7. Risk Register
| # | Risk | Impact | Likelihood | Mitigation | Owner |
|---|------|--------|------------|------------|-------|
| R1 | CalculiX vs Nastran parity exceeds tolerance | High | Medium | Start with simple geometries, document element type mapping, investigate mesh sensitivity | Tech Lead |
| R2 | Gmsh mesh quality on complex geometry | Medium | Medium | Define quality thresholds, add Jacobian/aspect-ratio checks, fallback presets | Tech Lead |
| R3 | Build123d limitations on complex parametric models | Medium | Low | Start simple, escalate complexity, keep NX lane as fallback | Developer |
| R4 | Contract design locks in wrong abstractions | High | Low | Freeze contracts only after Sprint 1 validation, allow minor evolution in Sprint 2 | Tech Lead + Auditor |
| R5 | Package dependency conflicts on T420 | Low | Medium | Use venv or Docker dev environment | IT |
| R6 | OpenFOAM setup complexity delays Sprint 4 | Medium | High | Docker-first approach, one locked template | IT + Tech Lead |
| R7 | Scope creep into expansion tools before MVP stable | High | Medium | Hard gate: no Sprint 4+ work until Sprint 3 exit criteria met | Manager + Auditor |
| R8 | MCP server maintenance burden | Low | Medium | MVP cap at 4 MCP servers, thin wrappers only | MCP Engineer |
---
## 8. Tool Installation Reference
### Sprint 0-2 (Core)
```bash
# Python packages
pip install gmsh pygmsh build123d meshio pyvista
# CalculiX solver
sudo apt install calculix-ccx
# ParaView (Sprint 3)
sudo apt install paraview
```
### Sprint 4+ (Expansion)
```bash
# OpenFOAM via Docker
docker pull openfoam/openfoam-dev
# preCICE
sudo apt install libprecice-dev python3-precice
# pymoo
pip install pymoo
# OpenMDAO
pip install openmdao
```
---
## 9. Success Metrics
| Metric | Sprint 3 Target | Sprint 6 Target |
|--------|----------------|----------------|
| Solver lanes operational | 2 (Nastran + CalculiX) | 4 (+OpenFOAM + coupled) |
| Optimization trials/hr (bracket-class) | 50+ | 100+ |
| Analytical benchmarks passing | 3 | 8+ |
| Cross-solver parity verified | Nastran ↔ CalculiX | + OpenFOAM thermal |
| Automation level (no human in loop) | 70% | 85% |
| MCP servers | 2 (CalculiX, Gmsh) | 4 |
---
## 10. Immediate Next Steps
1. **Antoine:** Approve this plan and Sprint 0-1 scope
2. **IT/Developer:** Run Sprint 0 package installs (est. 1-2 hours)
3. **Tech Lead:** Finalize contract dataclass specs with field-level detail
4. **Developer:** Scaffold `atomizer/` package structure
5. **Auditor:** Prepare benchmark expected-value files for 3 analytical cases
6. **Manager:** Create Mission Dashboard tasks for Sprint 0 + Sprint 1
---
*This plan is a living document. Update after each sprint retrospective.*

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# Secrets
.env
*.log
.env.*
config/*.env
config/.discord-tokens.env
config/shared-credentials.json
# Python
__pycache__/
*.py[cod]
*.so
.venv/
venv/
# Node
node_modules/
package-lock.json
# Job queue data (ephemeral)
job-queue/inbox/*
job-queue/outbox/*
job-queue/archive/*
!job-queue/*/.gitkeep
# Tool venvs
tools/nxopen-mcp/.venv/
# Dashboard deps + build
dashboard/frontend/node_modules/
dashboard/frontend/dist/
dashboard/venv/
# Bridge deps
bridge/node_modules/
discord-bridge/node_modules/
# Instances
instances/*/browser/
bridge/node_modules/
node_modules/
# Logs (ephemeral)
logs/
*.log
# Handoffs (ephemeral orchestration data)
handoffs/
# OS
.DS_Store
Thumbs.db
# Legacy deliverables
deliverables/
tools/nxopen-mcp/
dashboard/

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# Atomizer Engineering Co.
# Atomizer-HQ 🎯
AI-powered FEA optimization company running on Clawdbot multi-agent.
> The AI operations team that builds, tests, improves, and operates [Atomizer](http://192.168.86.50:3000/Antoine/Atomizer-V2).
## Quick Start
## What is HQ?
1. Install Docker: `sudo apt install docker.io docker-compose-v2 -y`
2. Copy `.env.template``.env` and fill in tokens
3. Build image: `docker build -t clawdbot:local .` (from Clawdbot repo)
4. Start: `docker compose up -d`
5. Check logs: `docker compose logs -f atomizer-gateway`
**Atomizer** = the product (optimization framework, code, AOM docs)
**Atomizer-HQ** = the AI team that operates it (agent workspaces, memory, skills, orchestration)
Think of it as: Atomizer is the race car, HQ is the pit crew.
## Structure
```
atomizer/
├── docker-compose.yml # Docker Compose config
├── .env.template # Environment template (copy to .env)
├── config/
── clawdbot.json # Gateway config (multi-agent)
├── workspaces/
│ ├── manager/ # 🎯 Manager agent workspace
│ ├── secretary/ # 📋 Secretary agent workspace
── technical-lead/ # 🔧 Technical Lead agent workspace
├── skills/
│ ├── atomizer-company/ # Company identity skill
── atomizer-protocols/ # Engineering protocols skill
├── job-queue/
│ ├── inbox/ # Results from Windows → agents
│ ├── outbox/ # Job files from agents → Windows
│ └── archive/ # Processed jobs
── shared/ # Shared resources (read-only)
atomizer-hq/
├── workspaces/ # Agent workspaces (SOUL.md, IDENTITY.md, MEMORY.md, etc.)
│ ├── manager/ # 🎯 Engineering Manager / Orchestrator
│ ├── secretary/ # 📋 CEO Interface, Admin
── technical-lead/ # 🔧 FEA Expert, R&D Lead
│ ├── optimizer/ # ⚡ Algorithm Specialist
│ ├── study-builder/ # 🏗️ Study Code Engineer
│ ├── auditor/ # 🔍 Quality Gatekeeper
── webster/ # 🌐 Web Research
│ └── nx-expert/ # 🖥️ NX/Simcenter Specialist
├── skills/ # HQ-specific agent skills
── atomizer-company/ # Company identity
│ └── atomizer-protocols/ # Engineering protocols
├── shared/ # Shared resources (tools, skills, windows helpers)
├── hq/ # HQ operational data (taskboard, condensations)
├── mission-control/ # Mission dashboard (web UI)
── scripts/ # Automation scripts
├── tools/ # MCP servers, utilities
├── config/ # Gateway config (secrets excluded)
├── CHANNELS.md # Slack channel mapping
└── docker-compose.yml # Legacy Docker config
```
## Agents (Phase 0)
## Agents
| Agent | Emoji | Channel | Model |
|-------|-------|---------|-------|
| Manager | 🎯 | #hq | Opus 4.6 |
| Secretary | 📋 | #secretary | Opus 4.6 |
| Technical Lead | 🔧 | (delegated) | Opus 4.6 |
| Agent | Emoji | Model | Status |
|-------|-------|-------|--------|
| Manager | 🎯 | Opus 4.6 | Active |
| Secretary | 📋 | Opus 4.6 | Active |
| Technical Lead | 🔧 | Opus 4.6 | Active |
| Optimizer | ⚡ | Opus 4.6 | Active |
| Study Builder | 🏗️ | Opus 4.6 | Active |
| Auditor | 🔍 | Opus 4.6 | Active |
| Webster | 🌐 | Opus 4.6 | Active |
| NX Expert | 🖥️ | Opus 4.6 | Phase 2 |
## Ports
- Mario (existing): 18789 (systemd)
- Atomizer (new): 18790 → 18789 (Docker)
## Key Decisions
- **DEC-037**: Atomizer and HQ are separate entities (2026-02-23)
- HQ repo: `192.168.86.50:3000/Antoine/Atomizer-HQ`
- Atomizer V2 repo: `192.168.86.50:3000/Antoine/Atomizer-V2`
- HQ follows AOM as its operating manual, but HQ configs live here
## Infrastructure
- **Host:** T420 (clawdbot)
- **Platform:** OpenClaw multi-agent gateway
- **Channels:** Dedicated Slack workspace
- **CEO:** Antoine Letarte

View File

@@ -21,7 +21,7 @@
name: "Manager",
workspace: "/home/papa/atomizer/workspaces/manager",
identity: { name: "Atomizer Manager", emoji: "🎯" },
model: "anthropic/claude-opus-4-6",
model: "openai-codex/gpt-5.4",
groupChat: { mentionPatterns: ["@manager", "@Manager", "🎯"] },
subagents: { allowAgents: ["*"] }
},

View File

@@ -95,7 +95,58 @@
"subtasks": [],
"priority": "high",
"createdAt": "2026-02-19T01:32:13.987900+00:00",
"comments": []
"comments": [
{
"text": "Heartbeat check-in by Manager: task remains in progress; no recent dashboard updates detected. Needs explicit next step, owner confirmation, or status change.",
"timestamp": "2026-04-01T08:44:12.763086+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still no new dashboard movement. Please confirm owner, next step, or move task to the correct status.",
"timestamp": "2026-04-01T10:29:40.520185+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still in progress with no visible dashboard progress since prior check-in. Needs owner response, next action, or status correction.",
"timestamp": "2026-04-01T12:50:16.344124+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still stale after another 2+ hours. Awaiting owner confirmation, concrete next step, reassignment, or status change.",
"timestamp": "2026-04-01T15:10:59.087451+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: task remains stale beyond another 2-hour window. Needs assignee acknowledgement, next action, reassignment, or closure/status correction.",
"timestamp": "2026-04-01T17:31:43.637014+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours elapsed with no visible dashboard movement. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-01T20:27:28.277069+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hour interval passed with no dashboard movement. Needs assignee acknowledgement, specific next step, reassignment, or status correction.",
"timestamp": "2026-04-01T23:23:16.895722+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours passed with no visible dashboard movement. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-02T03:29:30.263346+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: task is still stale as of 2026-04-03 00:12 ET. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-03T04:13:28.674763+00:00",
"author": "agent"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours passed with no visible dashboard movement as of 2026-04-03 02:33 ET. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-03T06:34:03.155407+00:00",
"author": "agent"
}
]
},
{
"id": "ATZ-74f02a",
@@ -226,6 +277,56 @@
"text": "Codebase survey complete. 3 challengers spawned: Opus, Codex, Sonnet. Existing tools: introspect_part.py (NX journal, .prt), introspect_sim.py (NX journal, .sim), 30+ pyNastran extractors (.op2/.f06/.fem).",
"timestamp": "2026-02-19T12:51:32.188229+00:00",
"author": "agent"
},
{
"text": "Heartbeat check-in by Manager: task remains in progress; no recent dashboard updates detected. Needs explicit next step, owner confirmation, or status change.",
"timestamp": "2026-04-01T08:44:12.763086+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still no new dashboard movement. Please confirm owner, next step, or move task to the correct status.",
"timestamp": "2026-04-01T10:29:40.520185+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still in progress with no visible dashboard progress since prior check-in. Needs owner response, next action, or status correction.",
"timestamp": "2026-04-01T12:50:16.344124+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: still stale after another 2+ hours. Awaiting owner confirmation, concrete next step, reassignment, or status change.",
"timestamp": "2026-04-01T15:10:59.087451+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: task remains stale beyond another 2-hour window. Needs assignee acknowledgement, next action, reassignment, or closure/status correction.",
"timestamp": "2026-04-01T17:31:43.637014+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours elapsed with no visible dashboard movement. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-01T20:27:28.277069+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hour interval passed with no dashboard movement. Needs assignee acknowledgement, specific next step, reassignment, or status correction.",
"timestamp": "2026-04-01T23:23:16.895722+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours passed with no visible dashboard movement. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-02T03:29:30.263346+00:00",
"author": "manager"
},
{
"text": "Heartbeat follow-up by Manager: task is still stale as of 2026-04-03 00:12 ET. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-03T04:13:28.688249+00:00",
"author": "agent"
},
{
"text": "Heartbeat follow-up by Manager: another 2+ hours passed with no visible dashboard movement as of 2026-04-03 02:33 ET. Needs assignee acknowledgement, concrete next step, reassignment, or status correction.",
"timestamp": "2026-04-03T06:34:03.167346+00:00",
"author": "agent"
}
]
},

View File

@@ -0,0 +1,57 @@
#!/usr/bin/env bash
# sync-aom-to-obsidian.sh
# Syncs Atomizer V2 docs/AOM/ → Obsidian vault (with markdown→wiki-link conversion)
# Direction: Repo (source of truth) → Obsidian (read target for iPad/SeaDrive)
# Per DEC-036: one-way sync, repo wins.
set -euo pipefail
REPO_AOM="/home/papa/repos/Atomizer-V2/docs/AOM"
OBSIDIAN_AOM="/home/papa/obsidian-vault/2-Projects/P-Atomizer-Operating-Manual"
LOG="/home/papa/atomizer/logs/aom-sync.log"
mkdir -p "$(dirname "$LOG")"
# Check source exists
if [ ! -d "$REPO_AOM" ]; then
echo "$(date -Iseconds) ERROR: Source not found: $REPO_AOM" >> "$LOG"
exit 1
fi
# Sync files (delete extras in target that aren't in source)
# --exclude .obsidian to preserve any Obsidian workspace settings
rsync -av --delete \
--exclude '.obsidian/' \
--exclude '.trash/' \
"$REPO_AOM/" "$OBSIDIAN_AOM/" 2>&1 | tail -5 >> "$LOG"
# Convert standard markdown links back to Obsidian wiki-links
# Pattern: [Display Text](./path/to/file.md) → [[path/to/file|Display Text]]
# Pattern: [filename](./filename.md) → [[filename]]
find "$OBSIDIAN_AOM" -name "*.md" -type f | while read -r file; do
# Convert [text](relative/path.md#heading) → [[relative/path#heading|text]]
perl -i -pe '
# [Text](./file.md#heading) → [[file#heading|Text]]
s/\[([^\]]+)\]\(\.\/([\w\/-]+)\.md(#[^\)]+)?\)/
my ($text, $path, $heading) = ($1, $2, $3 || "");
my $target = $path . $heading;
# If display text matches filename, simplify
my $basename = $path; $basename =~ s|.*\/||;
($text eq $basename) ? "[[$target]]" : "[[$target|$text]]"
/ge;
# [Text](path.md) without ./ prefix
s/\[([^\]]+)\]\(([\w\/-]+)\.md(#[^\)]+)?\)/
my ($text, $path, $heading) = ($1, $2, $3 || "");
my $target = $path . $heading;
my $basename = $path; $basename =~ s|.*\/||;
($text eq $basename) ? "[[$target]]" : "[[$target|$text]]"
/ge;
' "$file"
done
# Handle the README.md → MAP rename for Obsidian navigation
if [ -f "$OBSIDIAN_AOM/README.md" ] && [ ! -f "$OBSIDIAN_AOM/MAP - Atomizer Operating Manual.md" ]; then
cp "$OBSIDIAN_AOM/README.md" "$OBSIDIAN_AOM/MAP - Atomizer Operating Manual.md"
fi
echo "$(date -Iseconds) OK: Synced $(find "$OBSIDIAN_AOM" -name '*.md' | wc -l) docs" >> "$LOG"

View File

@@ -1,9 +1,9 @@
## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager or another specialist through the active OpenClaw messaging/orchestration path.
These are high-priority assignments. See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the current coordination model.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat incoming channel messages as real user/team messages that need a real response
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — Auditor Workspace
@@ -43,14 +43,12 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
- Review Study Builder's code
- Report findings to Manager
- **Post audit reports to project channels** — full transparency
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
## Agent Directory
@@ -80,7 +78,19 @@ CALLER=auditor bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskb
When working on a task:
- Update status to `in-progress`: `CALLER=auditor bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=auditor bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

View File

@@ -0,0 +1,405 @@
# Arsenal Development Plan — Risk Analysis + Quality Gates
**TASK:** Arsenal Development Plan — Risk Analysis + Quality Gates
**STATUS:** complete
**RESULT:** Comprehensive risk analysis with quality gates for each planned sprint
**CONFIDENCE:** HIGH
**NOTES:** This document provides the reality check framework to prevent scope creep and ensure quality delivery
---
## 1. Executive Summary — THE REALITY CHECK
**The Arsenal plan is ambitious and valuable, but contains significant execution risks that could derail the project.** The core concept is sound: expand from NX/Nastran-only to a multi-solver platform. However, the 35+ tool integration plan needs aggressive de-risking and phased validation.
**CRITICAL FINDING:** The plan attempts to solve 5 different problems simultaneously:
1. Format conversion (meshio, pyNastran)
2. Open-source FEA (CalculiX, OpenFOAM)
3. Multi-objective optimization (pymoo)
4. LLM-driven CAD generation (Build123d, MCP servers)
5. Advanced topology optimization (FEniCS)
**RECOMMENDATION:** Execute in strict sequence with hard quality gates. Each phase must FULLY work before advancing.
---
## 2. Risk Registry — By Sprint
### Phase 1: Universal Glue Layer (Week 1-2)
#### Technical Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Format conversion accuracy loss** | HIGH | CRITICAL | Round-trip validation on 10 reference models |
| **meshio coordinate system errors** | MEDIUM | MAJOR | Validate stress tensor rotation on cantilever beam |
| **pyNastran OP2 parsing failures** | MEDIUM | MAJOR | Test on Antoine's actual client models, not just tutorials |
| **Mesh topology corruption** | LOW | CRITICAL | Automated mesh quality checks (aspect ratio, Jacobian) |
#### Integration Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Existing Optuna code breaks** | MEDIUM | MAJOR | Branch protection + parallel development |
| **AtomizerSpec compatibility** | HIGH | MAJOR | Maintain backward compatibility, versioned specs |
| **Python dependency hell** | HIGH | MINOR | Docker containerization from day 1 |
#### Validation Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Silent accuracy degradation** | HIGH | CRITICAL | Automated benchmark regression suite |
| **Units confusion (N vs lbf, mm vs in)** | MEDIUM | CRITICAL | Explicit unit validation in every converter |
### Phase 2: CalculiX Integration (Week 2-4)
#### Technical Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **CalculiX solver divergence** | HIGH | MAJOR | Start with linear static only, incremental complexity |
| **Element type compatibility** | MEDIUM | MAJOR | Limit to C3D10 (tet10) initially |
| **Contact analysis failures** | HIGH | CRITICAL | Phase 8+ only, not core requirement |
| **Material model differences** | MEDIUM | MAJOR | Side-by-side validation vs Nastran on same mesh |
#### Validation Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Accuracy drift from Nastran** | HIGH | CRITICAL | <2% error on 5 benchmark problems |
| **Mesh sensitivity differences** | MEDIUM | MAJOR | Convergence studies required |
### Phase 3: Multi-Objective Optimization (Week 3-5)
#### Technical Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **pymoo algorithm selection confusion** | MEDIUM | MAJOR | Start with NSGA-II only, expand later |
| **Pareto front interpretation errors** | HIGH | MAJOR | Client education + decision support tools |
| **Constraint handling differences** | MEDIUM | MAJOR | Validate constraint satisfaction on known problems |
#### Over-Engineering Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Analysis paralysis from too many options** | HIGH | MAJOR | Limit to 2-objective problems initially |
| **Perfect being enemy of good** | HIGH | MINOR | Time-box Pareto visualization to 1 week |
### Phase 4: LLM-Driven CAD (Week 4-8)
#### Technical Risks — **HIGHEST RISK PHASE**
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Build123d geometry generation hallucinations** | HIGH | CRITICAL | Human validation + geometric sanity checks |
| **MCP server reliability** | HIGH | MAJOR | Fallback to direct API calls |
| **CAD code generation produces invalid geometry** | HIGH | CRITICAL | Automated STEP validation pipeline |
| **Complex assembly constraints impossible** | VERY HIGH | MAJOR | Limit to single parts initially |
#### Scope Creep Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Trying to replace NX completely** | HIGH | CRITICAL | Keep NX for production work, Build123d for optimization only |
| **AI-generated geometry perfectionism** | HIGH | MAJOR | Accept "good enough" for optimization, refine in NX |
### Phase 5: CFD + Thermal (Month 2-3)
#### Technical Risks — **COMPLEXITY EXPLOSION**
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **OpenFOAM case setup expertise gap** | VERY HIGH | CRITICAL | Hire CFD consultant or defer to Phase 8+ |
| **Mesh quality for CFD vs FEA conflicts** | HIGH | MAJOR | Separate mesh generation pipelines |
| **Thermal coupling convergence issues** | HIGH | MAJOR | Start with decoupled analysis |
| **CFD solution validation difficulty** | HIGH | CRITICAL | Need experimental data or commercial CFD comparison |
#### Dependencies Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **Docker/container complexity** | MEDIUM | MAJOR | Cloud deployment or dedicated CFD workstation |
### Phase 6: Multi-Physics Coupling (Month 3-4)
#### Technical Risks — **RESEARCH-LEVEL DIFFICULTY**
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **preCICE configuration expertise** | VERY HIGH | CRITICAL | This is PhD-level work, need expert help |
| **Coupling stability/convergence** | HIGH | CRITICAL | Extensive parameter studies required |
| **Debug complexity** | VERY HIGH | MAJOR | Each physics must work perfectly before coupling |
### Phase 7: System-Level MDO (Month 4-6)
#### Technical Risks — **ACADEMIC RESEARCH TERRITORY**
| Risk | Probability | Impact | Mitigation |
|------|-------------|---------|------------|
| **OpenMDAO complexity overwhelming** | VERY HIGH | CRITICAL | Consider this Phase 9+, not Phase 7 |
| **Gradient computation reliability** | HIGH | CRITICAL | Validate gradients against finite differences |
| **System convergence failures** | HIGH | CRITICAL | Need MDO expert consultant |
---
## 3. Quality Gates Per Sprint
### Phase 1 Quality Gates — MANDATORY PASS/FAIL
- [ ] **Round-trip accuracy test:** NX BDF → meshio → CalculiX INP → meshio → NX BDF, <0.1% geometry change
- [ ] **Stress tensor validation:** Same mesh, same loads in Nastran vs CalculiX via conversion, <2% stress difference
- [ ] **Mass properties preservation:** Convert 5 test parts, mass/CG/MOI within 0.1%
- [ ] **Unit consistency check:** All conversions maintain proper N/mm/MPa units
- [ ] **Automation test:** Full conversion pipeline runs without human intervention
**FAILURE CRITERIA:** Any >5% error in stress or >1% error in mass properties = STOP, fix before Phase 2
### Phase 2 Quality Gates — CalculiX Validation
- [ ] **Cantilever beam:** CalculiX vs analytical solution <1% error in tip deflection
- [ ] **Plate with hole:** CalculiX vs Nastran stress concentration factor within 2%
- [ ] **Modal analysis:** First 5 natural frequencies within 1% of Nastran
- [ ] **Thermal analysis:** Steady-state temperature distribution within 2% of analytical
- [ ] **Performance benchmark:** CalculiX solve time <2x Nastran for same model
**BENCHMARK PROBLEMS (Mandatory):**
1. Cantilever beam (analytical comparison)
2. Plate with circular hole (Peterson stress concentration)
3. Simply supported beam modal (analytical frequencies)
4. 1D heat conduction (analytical temperature distribution)
5. Contact patch (Hertz contact pressure)
**FAILURE CRITERIA:** >5% error on any benchmark = STOP, investigate solver setup
### Phase 3 Quality Gates — Multi-Objective Optimization
- [ ] **Pareto front validation:** Known bi-objective problem produces expected trade-off curve
- [ ] **Constraint satisfaction:** All solutions on Pareto front satisfy constraints within tolerance
- [ ] **Repeatability:** Same problem run 3 times produces consistent results
- [ ] **Decision support:** TOPSIS ranking produces sensible design recommendations
- [ ] **Performance:** Multi-objective optimization completes in reasonable time (<2x single-objective)
**TEST PROBLEM:** Cantilever beam optimization (minimize weight vs minimize tip deflection, stress constraint)
### Phase 4 Quality Gates — LLM CAD Generation
- [ ] **Geometric validity:** All generated STEP files pass STEP checker
- [ ] **Parametric control:** Generated geometry responds correctly to dimension changes
- [ ] **Manufacturing feasibility:** No features <2mm thickness, no impossible geometries
- [ ] **Human review:** 3 independent engineers can understand and approve generated CAD intent
- [ ] **FEA compatibility:** Generated geometry meshes successfully in Gmsh
**GEOMETRIC SANITY CHECKS:**
- Watertight solid (no gaps, overlaps, or open surfaces)
- Positive volume
- Reasonable aspect ratios
- Manufacturable features only
### Phase 5+ Quality Gates — CFD/Advanced Features
**⚠️ RECOMMENDATION: DEFER TO PHASE 8+**
These phases have research-level complexity. Focus on perfecting Phases 1-4 first.
---
## 4. Validation Strategy — Three-Tier Framework
### Tier 1: Analytical Comparison (Required for ALL new solvers)
Problems with closed-form solutions for ABSOLUTE validation:
- **Cantilever beam deflection:** δ = PL³/(3EI)
- **Plate with hole stress concentration:** Kt = 3.0 for infinite plate
- **Simply supported beam modal:** fn = (nπ/2L)²√(EI/ρA)/(2π)
- **1D heat conduction:** T(x) = T₀ + (Q·x)/(k·A)
- **Pressurized cylinder:** σ_hoop = pr/t, σ_axial = pr/(2t)
**PASS CRITERIA:** <2% error vs analytical solution for ALL solvers
### Tier 2: Cross-Solver Comparison (CalculiX vs Nastran validation)
Same mesh, same loads, same materials, compare results:
- **Linear static:** Stress and displacement fields
- **Modal analysis:** Natural frequencies and mode shapes
- **Thermal:** Temperature distributions
- **Nonlinear (Phase 6+):** Load-displacement curves
**PASS CRITERIA:** <5% difference between CalculiX and Nastran on representative models
### Tier 3: Real-World Validation (Antoine's actual client models)
Run optimization studies on actual client geometries, compare:
- **Optimized design performance** vs original
- **Manufacturing feasibility** of optimized result
- **Client acceptance** of design changes
**PASS CRITERIA:** Client signs off on optimized design for manufacturing
---
## 5. What Can Go Wrong — Top 5 Project Derailers
### 1. 🔴 CRITICAL: Accuracy Drift / Silent Failures
**Risk:** Format conversions introduce small errors that compound over optimization iterations
**Impact:** Wrong results delivered to clients → liability issues
**Mitigation:** Automated regression testing, benchmark validation on every build
**Early Warning Signs:**
- Stress results "close but not exact" vs Nastran
- Optimization converges to different answers between runs
- Mass properties drift during geometry updates
### 2. 🔴 CRITICAL: Solver Expertise Gap
**Risk:** Team lacks deep CFD/FEA knowledge to debug when solvers fail
**Impact:** Months lost debugging OpenFOAM convergence issues
**Mitigation:**
- Start with CalculiX only (simpler, better docs)
- Hire CFD consultant for OpenFOAM phase
- Build internal expertise gradually
**Early Warning Signs:**
- Solver failures blamed on "bad mesh" without investigation
- Parameter tuning by trial-and-error
- No understanding of physics behind solver options
### 3. 🟡 MAJOR: Scope Creep / Perfect Being Enemy of Good
**Risk:** Trying to implement every tool instead of delivering value incrementally
**Impact:** 18-month project with no delivered value
**Mitigation:** Strict phase gates, client delivery after each phase
**Early Warning Signs:**
- Adding new tools before current ones are validated
- "Just one more feature" before client delivery
- No working optimization studies after 6 months
### 4. 🟡 MAJOR: MCP Server Reliability
**Risk:** Custom MCP servers are buggy, break with tool updates
**Impact:** Automation fails, manual intervention required
**Mitigation:** Fallback to direct Python APIs, modular architecture
**Early Warning Signs:**
- MCP servers crash frequently
- Time spent debugging servers > time spent on optimization
- Abandoning MCP for manual scripts
### 5. 🟡 MAJOR: Client Expectation Mismatch
**Risk:** Clients expect NX-level polish from open-source tools
**Impact:** Client rejection of deliverables
**Mitigation:** Clear communication about tool capabilities, hybrid approach (open-source analysis + NX deliverables)
**Early Warning Signs:**
- Clients asking for features only NX provides
- Complaints about geometry quality
- Requests for "professional" visualization
---
## 6. Antoine's Minimal Validation Path
**What Antoine MUST personally validate:**
1. **Final stress results accuracy** — CalculiX vs Nastran comparison on client-type models
2. **Optimized geometry manufacturability** — Can the result actually be made?
3. **Client presentation quality** — Are the deliverables professional enough?
4. **Business case validation** — Does this save time vs current NX workflow?
**What HQ can self-validate autonomously:**
- Format conversion accuracy (automated tests)
- Benchmark problem solutions (known analytical answers)
- Code quality and testing (unit tests, integration tests)
- Performance benchmarks (solve times, memory usage)
**The 80/20 Rule for Antoine's Time:**
- **80% confidence:** HQ automated validation catches errors
- **20% verification:** Antoine spot-checks on real models before client delivery
### Recommended Antoine Validation Schedule:
- **Week 2:** Validate meshio conversion on 3 client models
- **Week 4:** Run CalculiX vs Nastran comparison on representative bracket
- **Week 8:** Review first LLM-generated CAD for sanity
- **Month 3:** Final sign-off before first client delivery
---
## 7. Over-Engineering Warning — MVS (Minimum Viable Sprint)
### Phase 1 MVS: Format Conversion ONLY
- **DO:** meshio + pyNastran for BDF ↔ INP conversion
- **DON'T:** Support 30 file formats, just focus on Nastran ↔ CalculiX
### Phase 2 MVS: CalculiX Linear Static ONLY
- **DO:** Basic linear static analysis matching Nastran
- **DON'T:** Nonlinear, contact, dynamics, thermal all at once
### Phase 3 MVS: 2-Objective NSGA-II ONLY
- **DO:** Weight vs compliance trade-offs
- **DON'T:** Many-objective optimization, exotic algorithms
### Phase 4 MVS: Simple Parametric Geometry ONLY
- **DO:** Boxes, cylinders, simple extrusions with Build123d
- **DON'T:** Complex assemblies, surface modeling, AI-generated everything
**SCOPE CREEP WARNING FLAGS:**
- "While we're at it, let's also add..."
- "The client mentioned they might want..."
- "This would be really cool if..."
- "I saw this paper about..."
### The Discipline Required:
Each MVS must be FULLY working and client-deliverable before adding complexity. A working 2-objective CalculiX optimization is worth more than a half-working 10-objective multi-physics system.
---
## 8. Risk Mitigation Strategy
### Development Principles:
1. **Build horizontal before vertical** — Get basic optimization working with ALL tools before adding advanced features to ANY tool
2. **Validate early and often** — Never go >1 week without comparing to known results
3. **Client delivery drives priority** — Features that directly improve client deliverables first
4. **Open-source complements NX, doesn't replace** — Hybrid approach reduces risk
### Quality Assurance Framework:
1. **Automated regression testing** — Benchmark suite runs on every code change
2. **Staged deployment** — Internal validation → Antoine review → client pilot → general release
3. **Error budgets** — 2% error tolerance for solver comparisons, 1% for mass properties
4. **Documentation discipline** — Every decision documented, every failure analyzed
### Technical Risk Controls:
1. **Docker containerization** — Eliminates "it works on my machine"
2. **Version pinning** — Lock solver versions to prevent compatibility drift
3. **Fallback strategies** — If Build123d fails, fallback to NX; if CalculiX fails, fallback to Nastran
4. **Modular architecture** — Each tool can be swapped without rewriting everything
---
## 9. Success Metrics & Exit Criteria
### Phase 1 Success Metrics:
- 100% of test models convert without manual intervention
- <2% accuracy loss in stress calculations
- Conversion pipeline completes in <5 minutes per model
### Phase 2 Success Metrics:
- CalculiX matches Nastran within 2% on 5 benchmark problems
- First optimization study completed end-to-end with CalculiX
- Client accepts CalculiX results for non-critical analysis
### Overall Project Success Metrics:
- **Technical:** 3 client projects completed using open-source solver pipeline
- **Business:** 50% reduction in software licensing costs
- **Capability:** Multi-objective optimization standard offering
- **Quality:** Zero client rejections due to solver accuracy issues
### Exit Criteria (Stop Development):
- **Technical:** Cannot achieve <5% accuracy vs Nastran after 3 months effort
- **Business:** Open-source pipeline takes >2x longer than NX workflow
- **Resource:** Antoine spending >50% time debugging vs delivering client value
- **Market:** Clients consistently reject open-source analysis results
---
## 10. Final Recommendations
### DO IMMEDIATELY (This Week):
1. **Set up automated benchmark testing** — 5 problems, run daily
2. **Create Docker development environment** — Reproducible builds
3. **Establish error tolerance budgets** — 2% stress, 1% mass properties
4. **Document rollback strategy** — How to revert if Phase N fails
### DO IN PHASE 1 ONLY:
- meshio + pyNastran integration
- CalculiX basic linear static
- Round-trip validation on client models
- **STOP** when this works perfectly
### DEFER TO PHASE 8+:
- CFD/thermal analysis
- Multi-physics coupling
- Advanced topology optimization
- System-level MDO
- Any tool requiring research-level expertise
### THE GOLDEN RULE:
**Every phase must deliver working client value before advancing.** A simple, reliable CalculiX integration that Antoine trusts is worth infinitely more than an ambitious multi-physics system that sometimes works.
**This is the reality check.** Build incrementally, validate obsessively, deliver constantly.
---
*Prepared by Auditor 🔍
Confidence: HIGH
Recommendation: Proceed with phased approach and mandatory quality gates*

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@@ -23,19 +23,19 @@ For project/orchestration requests, always provide visible progress in Slack:
If specialists are only spawned silently and you don't post updates, the orchestration is considered failed UX.
### Gatekeeper: PROJECT_STATUS.md
**You are the sole writer of `shared/PROJECT_STATUS.md`.** Other agents must NOT directly edit this file.
- Other agents report status by appending to `shared/project_log.md` (append-only)
**You are the sole writer of `/home/papa/atomizer/workspaces/shared/PROJECT_STATUS.md`.** Other agents must NOT directly edit this file.
- Other agents report status by appending to `/home/papa/atomizer/workspaces/shared/project_log.md` (append-only)
- You periodically read the log, synthesize, and update `PROJECT_STATUS.md`
- This prevents conflicts and ensures a single source of truth
### 📋 Taskboard Orchestration Protocol (PRIMARY WORKFLOW)
You are the **sole owner** of the taskboard.
**Tool:** `bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh`
**Docs:** `shared/skills/taskboard/SKILL.md`
**Tool:** `/home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh`
**Docs:** `/home/papa/atomizer/workspaces/shared/skills/taskboard/SKILL.md`
#### Workflow (MUST follow for every orchestration):
1. **Plan** — log objective + assignments in `shared/orchestration-log.md`
1. **Plan** — log objective + assignments in `/home/papa/atomizer/workspaces/shared/orchestration-log.md`
2. **Create tasks** on taskboard (one task per specialist output)
3. **Delegate via sessions_spawn** (include task ID + expected output format)
4. **Monitor** (taskboard + project_log.md)
@@ -53,7 +53,7 @@ You are the **sole owner** of the taskboard.
| data | #knowledge-base |
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Read `/home/papa/atomizer/workspaces/shared/CLUSTER.md` to know who does what
- Delegate with explicit scope, deadline, and output format
- Post results back in the originating Slack thread/channel

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@@ -4,8 +4,8 @@
**Atomizer Engineering Co.** is an AI-powered FEA optimization company.
- CEO: Antoine Letarte (mechanical engineer, freelancer)
- Platform: Clawdbot multi-agent on dedicated Slack workspace
- Infrastructure: Docker on T420, Syncthing bridge to Windows (NX/Simcenter)
- Platform: OpenClaw multi-agent workspace with native orchestration and Slack/message-tool delivery
- Infrastructure: Docker/OpenClaw on T420, Syncthing bridge to Windows (NX/Simcenter)
## Key Facts
- Antoine runs NX/Simcenter on Windows (dalidou)
@@ -25,9 +25,15 @@ All Atomizer HQ planning docs are in `context-docs/`:
Read these on first session to fully understand the vision and architecture.
## Active Projects
- **Hydrotech Beam** — Channel: `#project-hydrotech-beam` | Phase: DOE Phase 1 complete (39/51 solved, mass NaN fixed via commit 580ed65, displacement constraint relaxed 10→20mm). Next: pull fix on dalidou, rerun DOE. **Blocked on Antoine running updated code on dalidou.**
- **Adaptive Isogrid Plate Lightweighting** — Channel: war-room-isogrid | Phase: Technical spec locked + reviews complete. Full spec (32KB) + optimizer/tech-lead/webster reviews in `shared/war-room-isogrid/`. Architecture: "Python Brain + NX Hands + Atomizer Manager". Next: CEO review → implementation planning.
- **Atomizer Project Standard** — Phase: Full review package delivered (2026-02-18). Spec (~57KB), tech-lead review, auditor audit, secretary synthesis all complete. Files in `shared/standardization/`. **Auditor verdict: spec is over-engineered — recommends Minimum Viable Standard (MVS) based on Hydrotech Beam's existing structure.** Awaiting CEO decision: adopt full spec vs MVS approach. Next: Antoine review → decision → implementation.
- **GigaBIT M1 — Reference Frame Stiffness** — Client: StarSpec (Adyn Miles). P04-GigaBIT-M1. Active since 2026-03-04. Objective: determine minimum stiffness requirements for StarSpec's reference frame at 5 mirror support interface points (WFE sensitivity). Hybrid B+D method, SOL 101, ~42 runs. ΔWFE budget ≤1.0 nm RMS. Project folder: `/home/papa/repos/Atomizer/projects/gigabit-m1-frame-stiffness/`. PKM: `/home/papa/obsidian-vault/2-Projects/P04-GigaBIT-M1/`.
- **P-Zernike-Validation** — V&V complete (2026-03-09). Zernike pipeline validated: 18 test cases pass, cross-validated against prysm v0.21.1 to machine precision (<1e-13 nm). Requested by Adyn Miles for risk reduction before M2/M3 ordering. Commits: `f9373be`, `075ad36`.
- **Polisher-Fullum-Overhaul** — Client project (Normand/Cedric/Antoine). Goal: upgrade swing arm polisher for GigaBIT M1 mirror (1.2m Zerodur, F/1.2, ≤22nm RMS WFE). Active since 2026-02-02. Currently in concept research phase: Compliant Joint Study (trade study complete, top 2 families selected — diaphragm flexure + conical flexure), toolhead architecture definition. Active work as of Mar 21. PKM: `/home/papa/obsidian-vault/2-Projects/Polisher-Fullum-Overhaul/`. **Not managed by HQ agents — Antoine's direct work.**
- **Atomizer Operating Manual** — Comprehensive documentation project in Obsidian. 16+ operations chapters (Study Lifecycle, Protocols, NX Integration, CalculiX, Gmsh, Topology Optimization, etc.) + Knowledge section (LAC, Digestion, Failure Patterns). Active writing as of Mar 21. PKM: `/home/papa/obsidian-vault/2-Projects/P-Atomizer-Operating-Manual/`. **Antoine's direct work.**
- **Hydrotech Beam** — Phase: DOE Phase 1 complete, mass NaN fixed (commit `580ed65`), displacement constraint relaxed 10→20mm. **Blocked on Antoine pulling fix on dalidou.** Lower priority — Antoine focused on Polisher/GigaBIT now.
- **Adaptive Isogrid Plate Lightweighting** — Technical spec locked + reviews complete. Awaiting CEO review.
- **Atomizer Project Standard** — Full review package delivered (2026-02-18). Awaiting CEO decision: full spec vs MVS approach.
- **Atomizer V2 Migration** — ✅ COMPLETE (2026-02-23). V1 tagged `v1-final`, kept active. Phase 6 (archive V1) deferred.
- **Atomizer/HQ Separation** — ✅ COMPLETE (2026-02-23). DEC-037 logged.
## Core Protocols
- **OP_11 — Digestion Protocol** (CEO-approved 2026-02-11): STORE → DISCARD → SORT → REPAIR → EVOLVE → SELF-DOCUMENT. Runs at phase completion, weekly heartbeat, and project close. Antoine's corrections are ground truth.

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@@ -31,13 +31,14 @@
- Usage: `python3 metrics.py [json|text]`
- Shows: per-agent success rates, latencies, workflow completion stats
- **Agent Registry:** `/home/papa/atomizer/workspaces/shared/AGENTS_REGISTRY.json`
- **`[DELEGATE:agent "task"]` syntax does NOT work** — never use it. Always use `orchestrate.sh` or Discord @mentions.
- Discord @mentions — For ongoing work, discussions, FYI (fire-and-forget)
- `sessions_send` / `sessions_spawn` — OpenClaw internal (within same instance only)
- **`[DELEGATE:agent "task"]` syntax does NOT work** — never use it.
- Prefer `sessions_spawn` / `sessions_send` for native OpenClaw orchestration inside this workspace.
- Use `orchestrate.sh` only when you explicitly want that shared orchestration layer.
- Use the `message` tool for user-visible channel delivery.
## Knowledge Base
- LAC insights: `/home/papa/repos/Atomizer/knowledge_base/lac/`
- Project contexts: `/home/papa/repos/Atomizer/knowledge_base/projects/`
- Project contexts: not yet established as a dedicated repo folder under `/home/papa/repos/Atomizer/knowledge_base/` — verify actual project knowledge location before linking new docs there
## 📊 Mission-Dashboard (MANDATORY)
The Atomizer-HQ Mission-Dashboard is the **single source of truth** for all tasks.

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@@ -1,135 +0,0 @@
# 2026-02-10
## Hydrotech Beam — KBS Sessions Received
- Antoine recorded 3 KBS capture sessions on his Windows machine (NX/Simcenter)
- Data location: `/home/papa/ATODrive/Projects/hydrotech-beam/Hydrotech-Beam/_capture/`
- Sessions: `20260210-132817` (6s), `20260210-161401` (38s), `20260210-163801` (414s main session)
- Main session is a full walkthrough of the NX model with parameter names, values, BCs, materials
### New Information from KBS Sessions
- Beam length = 5,000 mm (`beam_length` expression)
- Cantilever: left fixed, right loaded with 10,000 kgf downward
- Hole span = 4,000 mm (`p6`), holes start/end 500mm from beam ends
- Mass via expression `p1` (NOT `p173` as we had) — starting 11.33 kg (CONTRADICTS 974 kg baseline!)
- Material: ANSI Steel 1005 — future: aluminum 6061, stainless ANSI 310
- Mesh: CQUAD4 thin shells, mid-surface idealization, element size = 67.4/2
- New expression names: `beam_half_height`, `beam_half_width`
- `p6` (hole span) as potential new design variable
- 4 screenshot triggers in the session metadata
### Actions Taken
- Posted acknowledgment + next steps in #project-hydrotech-beam
- Spawned Tech Lead sub-agent (label: tech-lead-kb-update) to:
- Process all 3 transcripts
- Update KB to Gen 002
- Reconcile mass discrepancy (11.33 kg vs 974 kg)
- Close resolved gaps (G1, G2, G5 partial, G8)
- Update CONTEXT.md
- Commit to Gitea
### Workflow Status
- Step 1 (Optimizer strategy): OPTIMIZATION_STRATEGY.md exists as DRAFT from Feb 9
- Current: Processing new KB data before proceeding
- Next: Optimizer revises strategy with confirmed params → Auditor review → Study Builder code
- Model files confirmed synced: Beam.prt, Beam_fem1.fem, Beam_fem1_i.prt, Beam_sim1.sim
### Completed
- [x] Tech Lead completed KB Gen 002 update — commit `b88657b`
- [x] Mass corrected AGAIN: **1,133.01 kg** (`p173`), NOT 11.33 kg — Antoine corrected us
- [x] Binary introspection of Beam.prt — extracted complete expression table (commit `15a457d`)
- [x] DV baselines are NOT round: face_thickness=21.504, core_thickness=25.162 (not 20/20)
- [x] Gaps G12-G14 closed (beam_half_height=250, beam_half_width=150, holes_diameter expression confirmed)
- [x] Important: `beam_lenght` has TYPO in NX (no 'h') — scripts must use exact spelling
- [x] `hole_count` links to `Pattern_p7` in the NX pattern feature
- [x] CONTEXT.md updated with full expression map, pushed to Gitea
### Pending — Waiting on Antoine
- [ ] Baseline re-run (G10, G11) — need current displacement and stress values
- [x] Decision on `p6` (hole span) — kept fixed at 4,000mm for now (Manager decision)
### Windows Environment (dalidou)
- Path: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\` (Syncthing from server)
- Python: `anaconda3\envs\atomizer` (conda env named "atomizer")
- Antoine ran smoke test on Feb 11 — hit 2 bugs, both fixed (commit `135698d`)
- NXOpen implementation still needed (solve, extract_displacement, extract_stress)
### In Progress
- [x] Optimization strategy updated with corrected baselines (commit `3e51804`)
- [x] Auditor review: APPROVED WITH CONDITIONS — 2 blockers found and fixed:
- Hole spacing formula: `span/(n-1)` not `span/(n+1)` — fixed
- Web height constraint: added `500 - 2*face - dia > 0` pre-check — fixed
- Commit `94bff37`
- [x] Study Builder completed Phase 1 code (commit `017b90f`) — verified end-to-end with stub solver
- 6 files: run_doe.py, sampling.py, geometric_checks.py, nx_interface.py, requirements.txt, README.md
- Pre-flight geometric filter catches ~24% of infeasible combos
- NXOpen template ready — needs 3 methods filled in on Windows (solve, extract_disp, extract_stress)
- [ ] Antoine running baseline SOL 101 for displacement + stress (parallel)
- [ ] `p6` kept fixed at 4,000mm for now (DEC by Manager)
### NXOpenSolver → Existing Engine Integration (Late Evening)
- Antoine confirmed: runs everything from his "Honda atomizer" conda env on Windows
- Uses existing `run_optimization.py` which calls `NXSolver` + `NXParameterUpdater` + pyNastran extractors
- **Key insight:** We do NOT need to write NXOpen code from scratch — the Atomizer engine already has everything:
- `optimization_engine/nx/solver.py` — journal-based solver via `run_journal.exe`
- `optimization_engine/nx/updater.py` — expression updates via `.exp` import
- `optimization_engine/extractors/extract_displacement.py` — pyNastran OP2
- `optimization_engine/extractors/extract_von_mises_stress.py` — pyNastran OP2, kPa→MPa
- `optimization_engine/extractors/extract_mass_from_expression.py` — from temp file
- Delegated to Study Builder (label: `study-builder-nx-impl`) to rewrite `NXOpenSolver` as a wrapper around existing engine
- Asked Antoine to confirm `pyNastran` is installed in the conda env
### Infra Fixes
- Study Builder model was set to non-existent `claude-sonnet-5` → fixed to `claude-sonnet-4-20250514`
- All agents were missing Anthropic API auth → propagated from Manager's auth-profiles.json
- Agents fixed: secretary, study-builder, optimizer, auditor, technical-lead
### Study Builder Delivered — NXOpenSolver (commit `33180d6`)
- Wraps existing Atomizer engine: NXParameterUpdater, NXSolver, pyNastran extractors
- HEEDS-style iteration folders, 600s timeout, CQUAD4 shell stress, kPa→MPa
- Full interface compatibility with run_doe.py preserved
- 252 additions, 126 deletions
### Tech Lead Refined — NXOpenSolver v2 (commit `390ffed`)
- Built on Study Builder's work with improvements:
- Element type auto-detection (tries solids first, falls back to CQUAD4)
- OP2 fallback path (solver result → expected naming convention)
- Mass fallback via `_temp_part_properties.json`
- Follows SAT3_Trajectory_V7 FEARunner pattern exactly
- Both commits stack cleanly on main, latest is the active version
### Late Night — Antoine Follow-Up (~23:00-01:00 UTC)
- Antoine returned: "Yeah! What's next?" — confirmed ready to move forward
- Asked about conda env: confirmed he uses `conda atomizer` (defined in `environment.yml` at repo root)
- Includes optuna, scipy, numpy, pandas, pyNastran — all Phase 1 deps covered
- Asked "What's the NXOpen implementation about?" — explained the 3 bridge methods (solve, extract_disp, extract_stress)
- Antoine asked how this relates to legacy Atomizer studies (SAT3, mirror blank)
- Confirmed: same engine (NXSolver, NXParameterUpdater, pyNastran extractors)
- Differences: geometric pre-filter, LHS sampling, cleaner separation, project-scoped
- **Antoine approved:** "go ahead and do it"
- Delegated NXOpen implementation completion to Technical Lead (label: `hydrotech-nxopen-impl`)
- Task: complete NXOpenSolver.evaluate() using existing Atomizer engine components
- Reference: SAT3_Trajectory_V7, bracket study, existing engine classes
### Feb 11 Morning — Bug Fixes + Final Refactor
- Antoine tested on dalidou, hit 2 bugs:
1. SQLite duplicate study name → fixed with `load_if_exists=True` + `--clean` flag
2. Sampling crash with `n-samples 1` → skip stratified patching when n < 11
- Commit `135698d`
- **Full refactor of nx_interface.py** (commit `126f0bb`):
- `AtomizerNXSolver` wraps existing `optimization_engine` (NXSolver + pyNastran extractors)
- HEEDS-style iteration folders, .exp file generation, OP2 extraction
- StubSolver improved with beam-theory approximations
- Windows path confirmed: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\`
- Conda env: `atomizer` (all deps pre-installed)
### Future Initiative — NX Simcenter 3D MCP (CEO request, Feb 11)
- MCP server on dalidou for direct NXOpen interaction
- Endpoints: expressions.list/get/set, model.update, solve.run, results.*, introspect, screenshots
- Eliminates pyNastran, temp files, journal generation — all via NXOpen API
- Target: Phase 2/3 roadmap
- Logged per Antoine's explicit request — not blocking current work
### Next
- [ ] Antoine tests `--backend nxopen` on dalidou (single trial smoke test)
- [ ] Full 51-trial Phase 1 run
- [ ] Phase 2 TPE optimization

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@@ -1,29 +0,0 @@
# 2026-02-11
## Channel Config
- Added #research-and-development (C0AEB39CE5U) to Slack config
- All 6 agents bound to it
- Set `requireMention: false` globally for all Slack channels per Antoine's request
## NXOpen MCP Server — INSTALLED ✅
- **Repo**: `http://100.80.199.40:3000/Antoine/NXOpen-MCP.git`
- **Local path**: `/home/papa/atomizer/tools/nxopen-mcp/`
- **Venv**: `.venv/` with CPU-only torch (no CUDA needed)
- **Data**: 203MB pre-indexed ChromaDB + JSON caches
- 15,219 NXOpen classes, 64,320 methods
- 149 nxopentse functions
- 287 pyNastran classes
- **Run**: `./run-server.sh` or `python -m nxopen_mcp.server --data-dir ./data`
- **Protocol**: stdio-based MCP
- **Tools**: search_nxopen, get_class_info, get_method_info, get_examples, list_namespaces
- Wired into NX Expert agent via exec/Python subprocess
## NX Expert Agent — HIRED ✅
- **Agent ID**: `nx-expert`
- **Model**: Sonnet 4 (cost-effective specialist)
- **Workspace**: `/home/papa/atomizer/workspaces/nx-expert/`
- **Channels**: #hq (C0AEJV13TEU), #research-and-development (C0AEB39CE5U)
- **Mention patterns**: @nx-expert, @NX Expert, @nx, 🖥️
- **Tools**: NXOpen MCP via Python exec, atomizer-protocols skill
- **Role**: NX Open API expert, solver config, element selection, journal scripting
- First Phase 2 agent to come online — ahead of schedule

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@@ -1,41 +0,0 @@
# 2026-02-13
## Nightly Digestion Cron — LIVE ✅
- **Job ID:** `e157faf0-084f-4d8d-8693-814cf4340a48`
- **Schedule:** Every night at 4:00 AM ET (`0 4 * * *` America/Toronto)
- **Type:** Isolated agentTurn (manager), announces to #all-atomizer-hq
- **Protocol:** OP_11 full 6-step cycle (STORE → DISCARD → SORT → REPAIR → EVOLVE → SELF-DOCUMENT)
- Set up per Antoine's directive to officialize nightly memory processing
## Hydrotech Beam — Resumed
- Antoine approved continuing to next phase (~01:36 UTC)
- DOE Phase 1 (51 trials) completed previously but **gate check FAILED**:
- 39/51 solved, 12 geo-infeasible (hole overlap)
- **0 fully feasible designs** — displacement ≤10mm never achieved (min ~19.6mm)
- **Mass = NaN** on all trials — extraction bug in journal/script
- Stress constraint (≤130 MPa) met by some trials but displacement kills everything
- **Delegated to Tech Lead:** Diagnose mass NaN, analyze DOE landscape, recommend feasibility fix
- Spawned sub-agent session: `hydrotech-doe-analysis`
- **Pending CEO decision:** Relax 10mm displacement constraint? Options presented: relax to ~20mm, expand DVs, or keep and find boundary
- Optimizer + Study Builder on standby for Phase 2 (TPE) after fixes
## Mass NaN Fix — COMMITTED ✅
- **Commit:** `580ed65` on Atomizer repo main branch
- **Root cause:** `solve_simulation.py` journal's `solve_simple_workflow()` tried to read mass via expression `p173` after part switching (geom→FEM→SIM→solve→back). Expression was stale/inaccessible after switching. `_temp_mass.txt` never written.
- **NOT** the `M1_Blank` hardcoding (that's assembly workflow only). Beam uses `solve_simple_workflow` (no `.afm`).
- **Fix (2 edits):**
1. Extract mass RIGHT AFTER geometry rebuild (`DoUpdate()`) while geom part is work part — uses `MeasureManager.NewMassProperties()` (computes fresh from solid bodies)
2. Post-solve: skip re-extraction if already done; fallback to MeasureManager instead of p173
- **NX Expert** did the fix but did NOT use MCP server — was a code-level debug task, not API discovery
- **NX Expert Slack issue:** sub-agent couldn't post to #all-atomizer-hq (channel ID routing problem for spawned agents)
- **Next:** Pull on dalidou, test single trial, then re-run full DOE with 20mm constraint
## Sub-agent Issues
- Tech Lead sub-agents both hit 200K token context limit and aborted (`abortedLastRun: true`)
- Had to do diagnosis myself then delegate to NX Expert
- NX Expert also couldn't post to Slack (channel_not_found with various target formats)
- **Lesson:** Sub-agents need leaner prompts, and Slack channel routing needs fixing for spawned sessions
## DEC-HB-012 — Displacement Constraint Relaxed
- 10mm → 20mm, CEO approved (dummy case, pipeline proving)
- Updated CONTEXT.md and DECISIONS.md in project folder

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# 2026-02-19
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Updated MEMORY.md: Project Standard status now reflects full review package + auditor MVS recommendation
- Updated MEMORY.md: Added lessons about Secretary Slack issues and Auditor value
- Updated PROJECT_STATUS.md with current state of all 3 active projects
- Captured: Hydrotech still blocked on dalidou pull, Project Standard awaiting CEO decision
### DISCARD
- No memory files older than 30 days (oldest is Feb 8 = 11 days)
- No contradictions found in MEMORY.md
- No stale TODOs identified — both active projects are genuinely waiting on Antoine
### SORT
- Project Standard insight promoted: "Auditor recommends MVS over full spec" → MEMORY.md (was only in project_log.md)
- "Sub-agents can't post to Slack" lesson confirmed still relevant (Secretary hit same issue Feb 19)
### REPAIR
- Fixed: Webster missing from AGENTS.md Agent Directory table (was only in specialists list)
- Verified: All 7 agent SOUL.md files present and populated
- Verified: All HEARTBEAT.md files current (Feb 19)
- Verified: No broken file paths in MEMORY.md
- PROJECT_STATUS.md was stale (last updated Feb 15, only had material research) — fully rewritten
- Noted: Auditor blocked on P-Adaptive-Isogrid review since Feb 16 — Tech Lead hasn't responded
### EVOLVE
- Observation: Project Standard orchestration worked well (multi-agent: tech-lead + auditor + webster + secretary) — the taskboard protocol is maturing
- Issue: Secretary and sub-agents still can't post to Slack reliably — this is a recurring infrastructure gap. Should investigate gateway config fix.
- mc-update.sh `list` command doesn't work — limits dashboard utility
### SELF-DOCUMENT
- AGENTS.md: Added Webster to Active Team table
- PROJECT_STATUS.md: Full rewrite with current state
- MEMORY.md: Updated active projects section

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# 2026-02-20
## Nightly Digestion — OP_11 (Incremental)
### STORE
- New project discovered: **Adaptive Isogrid Plate Lightweighting** — full technical spec + 3 reviews (optimizer, tech-lead, webster) in `shared/war-room-isogrid/`. Created Feb 19 evening.
- Webster hit web_search API key issue (TASK-001 blocked) — infrastructure gap noted
- No new Antoine corrections to capture
### DISCARD
- No memory files older than 30 days (oldest Feb 8 = 12 days)
- No contradictions found
- No stale TODOs — projects still genuinely waiting on Antoine
### SORT
- Adaptive Isogrid project added to MEMORY.md and PROJECT_STATUS.md as new active project
- P-Adaptive-Isogrid auditor block (since Feb 16) may now be resolvable — spec + reviews exist in war-room
### REPAIR
- PROJECT_STATUS.md updated to include Adaptive Isogrid project
- MEMORY.md updated with new project entry
- Noted: Webster web_search API key issue needs infrastructure fix (escalate to Mario)
- Verified: All agent workspaces intact, no broken paths
### EVOLVE
- Low activity day — no process issues observed
- Webster API key issue is a capability gap — should be escalated
### SELF-DOCUMENT
- MEMORY.md: Added Adaptive Isogrid project
- PROJECT_STATUS.md: Added Adaptive Isogrid entry
- This daily note created

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# 2026-02-21
## Nightly Digestion — OP_11 (Incremental)
### STORE
- No new activity since last digestion (Feb 20). All projects remain in same state.
- war-room-overhaul/repo-structure.md created Feb 20 — repo audit artifact for future overhaul work
### DISCARD
- No files older than 30 days (oldest: Feb 8 = 13 days)
- No contradictions found
- No stale TODOs
### SORT
- Nothing to promote — no new learnings
### REPAIR
- All key paths verified intact (standardization, war-room-isogrid, war-room-overhaul)
- PROJECT_STATUS.md still accurate — no state changes
- MEMORY.md still accurate
### EVOLVE
- No issues observed. Weekend quiet period.
- Outstanding: Webster web_search API key still unresolved (needs Mario)
- Outstanding: Auditor P-Adaptive-Isogrid block (since Feb 16) still unresolved — Tech Lead never responded
### SELF-DOCUMENT
- No changes needed — docs current from Feb 20 digestion

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# 2026-02-22
## Nightly Digestion — OP_11 (Incremental)
### STORE
- New artifact: `MIND_MAP_AUDIT.md` (16KB) created Feb 21 — comprehensive audit of Excalidraw master mind map vs actual codebase/docs. 385 text nodes reviewed. Identifies gaps between mind map and reality.
- No new Antoine corrections. No new project activity. Weekend quiet period continues.
### DISCARD
- Manager memory files: oldest is Feb 8 (14 days) — all within 30-day retention
- **Flagged:** Tech Lead has 2 legacy files from 2025 (`2025-02-09.md`, `2025-07-17.md`) — pre-HQ era Hydrotech Beam logs. Contains useful domain knowledge (NXOpenSolver implementation, technical breakdown). Not deleting — but should be consolidated into Tech Lead's MEMORY.md or project KB during next deep digestion.
- No contradictions found in current memory files
- No stale TODOs — all 3 active projects genuinely awaiting CEO input
### SORT
- MIND_MAP_AUDIT.md lives correctly at workspace root (one-off audit artifact, not a daily note)
- No patterns to promote — quiet weekend
### REPAIR
- PROJECT_STATUS.md still accurate — no state changes since Feb 20
- MEMORY.md still accurate
- All key paths verified: `shared/standardization/`, `shared/war-room-isogrid/`, `shared/war-room-overhaul/` intact
- Outstanding blockers unchanged:
- Hydrotech Beam: blocked on Antoine (dalidou pull + test)
- Project Standard: awaiting CEO decision (full spec vs MVS)
- Adaptive Isogrid: awaiting CEO review
- Auditor P-Adaptive-Isogrid block (since Feb 16): still unresolved
- Webster web_search API key: still needs Mario
### EVOLVE
- No process issues this cycle
- Observation: 3 projects all blocked on CEO review simultaneously. When Antoine returns, priority triage will be needed to avoid bottleneck.
- MIND_MAP_AUDIT provides roadmap for docs/mind-map alignment — useful for next active work phase
### SELF-DOCUMENT
- No changes needed — docs current
---
## AOM Project — MASSIVE Session (afternoon)
### What Happened
Antoine came in and asked about AOM project status. Resulted in a multi-hour session covering:
1. **AOM Phase 3 completed** — wrote 6 remaining docs (Decision Log, Evolution Principles, Failure Patterns, Digestion Protocol, Context Engineering, Project KB Template). AOM went from ~85% → 100% content (30 docs, ~7,600 lines).
2. **Phase 4 (LLM Layer) completed** — 3 docs: CLAUDE.md v2 (150 lines replacing 871-line v1), Context-Loading Strategy (4-layer system), AOM Skill Module.
3. **Phase 5 (Living Protocol) completed** — maintenance rules, update triggers, health checks, ownership model.
4. **Tool-Agnostic Architecture Plan** — Antoine asked for a plan to make Atomizer solver-agnostic. Researched the Arsenal doc (800+ lines), wrote `ATOMIZER-TOOL-AGNOSTIC-ARCHITECTURE.md` (28KB) with: 3 abstraction layers (contracts → processors → orchestrator), AtomizerSpec v3.0 with ToolchainConfig, 7-sprint implementation roadmap, V2 repo structure.
5. **AOM V2 Integration** — Antoine said "document first, code later." Audited all 30 AOM docs for NX-hardcoding, created 5-phase integration plan. Executed ALL phases:
- Phase A: 4 new foundation docs (Tool-Agnostic Architecture, Data Contracts Reference, Processor Dev Guide, Arsenal Reference)
- Phase B: 5 core rewrites (System Architecture, Component Map, Codebase Architecture, Extension Points, Multi-Solver Roadmap)
- Phase C: 19 surgical updates across all pillars
- Phase D: 5 new solver guides (CalculiX, Gmsh, OpenFOAM, Multi-Physics, MCP Server Dev)
- Phase E: MAP + final updates
**Result: AOM grew from 37 → 48 docs, ~8,830 lines. Zero NX-only assumptions remain.**
6. **V2 Migration Master Plan** — Antoine confirmed new repo at `http://192.168.86.50:3000/Antoine/Atomizer-V2` (Gitea, currently empty). Wrote comprehensive migration plan (28KB): complete V2 repo structure, what migrates vs doesn't, 6-phase execution (8 days), .gitignore, pyproject.toml, README.md draft, Obsidian sync strategy.
### Key Decisions Made (by Antoine)
- DEC-030: Tool-agnostic architecture approved
- DEC-032: New repo (V2) instead of cleaning V1
- DEC-033: Documentation-first — AOM before code
- DEC-021: AOM stays in Obsidian until migration
- V2 Gitea repo created at `192.168.86.50:3000/Antoine/Atomizer-V2`
### CEO Decisions Still Pending (for migration)
1. License type (Apache 2.0 / MIT)
2. GitHub repo name
3. Obsidian ↔ repo sync strategy
4. HQ separation (in V2 or separate?)
5. Confirm projects/ stays off git
6. GitHub visibility (public/private)
7. Timing to start
### Files Created/Modified Today
- `P-Atomizer-Operating-Manual/` — 11 new docs, 5 rewrites, 19 updates
- `Atomizer-AtomasteAI/Development/ATOMIZER-TOOL-AGNOSTIC-ARCHITECTURE.md` (28KB)
- `Atomizer-AtomasteAI/Development/ATOMIZER-V2-MIGRATION-MASTERPLAN.md` (28KB)
- Integration plan archived to `P-Atomizer-Operating-Manual/Archive/`
### Blocker: Sub-agent Spawning
- `sessions_spawn` fails with "gateway closed (1008): pairing required" — both with `agentId=auditor` and without
- This blocks delegating work to Auditor (or any sub-agent)
- Asked Antoine for preference: self-review on Opus or wait for infra fix
- No response yet as of 7pm
### Next Steps
- Awaiting Antoine's decision on auditor review approach (self vs wait for infra)
- Antoine reviewing migration master plan
- After CEO approval → execute Phase 0 (repo bootstrap + AOM deployment)

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# 2026-02-23
## Nightly Digestion — OP_11 (Incremental)
### STORE
- **AOM V2 Migration** is the dominant new workstream as of Feb 22. Massive session: AOM completed (48 docs, ~8,830 lines), tool-agnostic architecture approved (DEC-030), V2 repo created at `192.168.86.50:3000/Antoine/Atomizer-V2` (DEC-032), documentation-first approach confirmed (DEC-033).
- Auditor delivered V2 migration audit (288 lines) identifying 11 findings including 13 missing V1 modules. Revised masterplan (V2) produced addressing all findings — 12-day realistic timeline.
- Code review also delivered (`shared/reviews/v2-migration-code-review.md`, 255 lines).
- 6 CEO decisions still pending for V2 migration: license type, GitHub name, sync strategy, HQ separation, projects/ exclusion, visibility, timing.
- Sub-agent spawning broken ("gateway closed 1008: pairing required") — blocks delegation. Unresolved.
### DISCARD
- Memory files: oldest is Feb 8 (15 days) — within 30-day retention. No pruning needed.
- No contradictions found in current memory.
- No stale TODOs resolved since last cycle.
### SORT
- V2 Migration reviews correctly placed in `shared/reviews/` (project-level artifacts).
- AOM docs live in Obsidian vault (correct — CEO decision DEC-021).
- No patterns to promote from session-level to domain-level.
### REPAIR
- **PROJECT_STATUS.md needs update** — doesn't reflect AOM/V2 Migration project or auditor's V2 audit deliverable. Updating now.
- Auditor P-Adaptive-Isogrid block: still unresolved (since Feb 16, now 7 days). Tech Lead has not responded.
- Webster web_search API key: still needs Mario (since Feb 19).
- Sub-agent spawning: broken since Feb 22 at minimum. Infrastructure issue for Mario.
### EVOLVE
- **Observation:** The Feb 22 session was a solo mega-session (Manager did everything — AOM writing, architecture, migration planning) because sub-agent spawning is broken. This is unsustainable for complex work. Sub-agent infra fix is critical.
- **Observation:** 4 projects now awaiting CEO input simultaneously (Hydrotech Beam, Project Standard, Adaptive Isogrid, V2 Migration decisions). Priority triage essential when Antoine returns.
- **Process note:** Auditor review via spawned sub-agent DID work on Feb 22 (delivered the V2 audit) — so spawning may be intermittent, not fully broken. Worth retesting.
### SELF-DOCUMENT
- PROJECT_STATUS.md updated to include AOM/V2 Migration project.
- No other doc changes needed.

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# 2026-03-20
## Nightly Digestion — OP_11 (Incremental/Weekly)
**Note:** 8-day gap since last digestion (Mar 12). No nightly logs exist for Mar 1319 — likely cron delivery issue or gateway downtime during that period.
### STORE
- **NEW PROJECT DISCOVERED:** GigaBIT M1 — Reference Frame Stiffness Characterization (P04-GigaBIT-M1). Client: StarSpec (Adyn Miles). Active since Mar 4. Antoine working directly on this. Hybrid B+D method, SOL 101, ~42 runs. ΔWFE ≤1.0 nm RMS budget.
- **Zernike V&V COMPLETE:** P-Zernike-Validation finished Mar 9. 18 test cases, prysm cross-validation to machine precision. Risk reduction for M2/M3 ordering. Commits `f9373be`, `075ad36`.
- **Tier 2 dev workflow:** Windows test runner + Syncthing result sync added Mar 7 (commit `b3162aa`).
- Updated MEMORY.md with new projects and reprioritized project list.
- Updated PROJECT_STATUS.md (was stale since Mar 3 — now current).
### DISCARD
- **Archived** `2026-02-11.md` and `2026-02-13.md` (37+ days old). Key facts preserved in archive summaries.
- **Compressed 15 idle-only daily logs** (Feb 26 Mar 12) into single archive summary (`archive/2026-02-26_to_2026-03-12_idle-period.md`). These contained only digestion-cycle boilerplate with zero substantive activity. Originals retained (not yet 30 days) but archive summary created for when they age out.
- Feb 19 hits 30-day threshold tomorrow — queued for next cycle.
### SORT
- GigaBIT M1 promoted to top of Active Projects in MEMORY.md (it's where Antoine is spending time).
- Hydrotech Beam deprioritized with note that Antoine is focused on GigaBIT now.
- Zernike V&V logged as completed project with cross-references.
### REPAIR
- **All 12 key infrastructure paths verified** ✓ (taskboard, mc-update, CLUSTER, AGENTS_REGISTRY, orchestrate tools, MCP server, protocols)
- **All 7 agent workspaces present** ✓
- **Mission Control dashboard** responding (HTTP 200) ✓
- **PROJECT_STATUS.md was 17 days stale** (last updated Mar 3) — now updated with GigaBIT M1 and current state.
- **7 Mission Control tasks stuck** in `in_progress` or `review` since mid-February — flagged for cleanup when Antoine returns to HQ work.
- **Gap identified:** Mar 1319 digestion logs missing. Cron job may have had delivery issues or gateway was down. No data loss — just missing the nightly check-ins.
### EVOLVE
- **Standing OP_11 amendment proposal** (since Mar 8, now 12 days): idle-mode rule for weekly-only digestion when no workspace changes for 7+ days. Requires CEO approval.
- **Observation:** Antoine is doing significant direct work (GigaBIT M1, Zernike V&V, dev workflow) without HQ agent involvement. The team may need to be more proactive about supporting active client work vs. waiting to be tasked.
- **Recommendation:** When Antoine next engages HQ, offer GigaBIT M1 support (Tech Lead for sensitivity analysis, Optimizer for stiffness sweep design, Webster for literature on mirror mount compliance requirements).
### SELF-DOCUMENT
- MEMORY.md updated with GigaBIT M1 project, Zernike V&V completion, and reprioritized project list.
- PROJECT_STATUS.md fully refreshed (was 17 days stale).
- No changes needed to SOUL.md, IDENTITY.md, or TOOLS.md — all still accurate.
- Agent workspace docs (other agents) not checked this cycle — no activity detected in their workspaces.

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# 2026-03-21
## Nightly Digestion — OP_11 (Incremental)
### STORE
- No new activity. Zero substantive file changes across all workspaces since Mar 20 digestion.
- Obsidian Operating Manual files touched at exactly 08:00:01 UTC — Syncthing sync artifact, not content changes.
### DISCARD
- **Feb 19** daily log hits 30-day threshold tomorrow (Mar 22) — queued for archive.
- Feb 2028 all still under 30 days. No archival needed today.
- No contradictions found.
### SORT
- Nothing to promote or reorganize.
### REPAIR
- All key infrastructure paths verified (spot check): taskboard.json ✓, mc-update.sh ✓, CLUSTER.md ✓, AGENTS_REGISTRY.json ✓
- No broken references in MEMORY.md.
- PROJECT_STATUS.md is current (updated Mar 20).
### EVOLVE
- **Standing OP_11 idle-mode amendment (Day 22):** No workspace changes for 22+ consecutive days (since Feb 28, excluding digestion entries). Nightly → weekly switch proposal still requires CEO approval.
### SELF-DOCUMENT
- No changes needed. All docs current as of Mar 20 digestion.

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# 2026-03-22
## Nightly Digestion — OP_11 (Incremental)
### STORE
- **NEW PROJECT DISCOVERED:** Polisher-Fullum-Overhaul — active since Feb 2. Upgrading swing arm polisher for GigaBIT M1 mirror (1.2m Zerodur, F/1.2, ≤22nm RMS WFE). Team: Cedric (lead), Antoine (engineering), Normand (master optician). Currently in Compliant Joint Study (trade study done — diaphragm flexure + conical flexure shortlisted). Toolhead architecture being defined. Active work Mar 20-21.
- **NEW DOCUMENTATION:** Atomizer Operating Manual — 16+ operations chapters in Obsidian covering full Atomizer framework (CalculiX, Gmsh, Topology Optimization, NX Integration, etc.). Significant writing effort, active as of Mar 21.
- Updated MEMORY.md: added both projects to Active Projects section.
### DISCARD
- **Archived** `2026-02-19.md` (31 days old). Key facts preserved in `archive/2026-02-19.md`.
- Feb 20 hits 30-day threshold tomorrow — queued for next cycle.
- No contradictions found in MEMORY.md.
- No stale TODOs — all blocked items are genuinely waiting on Antoine.
### SORT
- Polisher-Fullum-Overhaul added to Active Projects in MEMORY.md (high activity, client project).
- Atomizer Operating Manual added to Active Projects (documentation project, significant scope).
- Both marked as "Antoine's direct work" — not HQ-managed.
- Hydrotech Beam deprioritization note updated (Antoine focused on Polisher/GigaBIT, not just GigaBIT).
### REPAIR
- **All 7 key infrastructure paths verified** ✓ (taskboard, mc-update, CLUSTER, AGENTS_REGISTRY, orchestrate, PROJECT_STATUS, OP_11 protocol)
- **All 7 agent workspaces present** ✓
- **No broken file paths in MEMORY.md** ✓
- **Taskboard:** Only 1 task (ATZ-001 example) — still backlog. 7 Mission Control tasks from Feb still unresolved (flagged Mar 20, no change).
- **PROJECT_STATUS.md** needs update for Polisher-Fullum and Operating Manual — deferred to next active session (these are Antoine's projects, not HQ-managed).
### EVOLVE
- **Standing OP_11 idle-mode amendment (Day 23):** No HQ-managed workspace changes for 23+ consecutive days. However, Antoine is actively working on Polisher-Fullum and Operating Manual outside HQ. The idle period is HQ-specific, not company-wide.
- **Observation:** Antoine has 3 active workstreams (GigaBIT M1, Polisher-Fullum, Operating Manual) all running without HQ agent involvement. The team should be ready to support when called upon — particularly Tech Lead for compliant joint FEA, Optimizer for parametric sweeps on flexure geometry, and Webster for literature on diaphragm flexure stiffness models.
- **Cron reliability:** Digestion ran successfully Mar 20, 21, 22 — the gap from Mar 13-19 appears resolved.
### SELF-DOCUMENT
- MEMORY.md: Added Polisher-Fullum-Overhaul and Atomizer Operating Manual to Active Projects.
- No changes needed to SOUL.md, IDENTITY.md, AGENTS.md, or TOOLS.md — all current.

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# 2026-03-23
## Nightly Digestion — OP_11 (Incremental)
### STORE
- **Polisher-Fullum progressing:** New Implementation docs (Stochastic-Dither-Reference, Claude-Desktop-Instructions, Simulation-Physics-Reference updates) and Compliant Joint Study advancing — conical flexure NX modeling guide, COR analysis + architecture pivot, diaphragm stiffness analysis, dual diaphragm Z-block analysis. Excalidraw concept drawings created. Antoine actively developing toolhead architecture.
- **Operating Manual:** 52 files touched in last 24h (Syncthing sync — likely batch update to Operations chapters and Knowledge section).
- No new Antoine corrections to capture. No new HQ-managed project activity.
### DISCARD
- **Archived and removed** `2026-02-19.md`, `2026-02-20.md`, `2026-02-21.md` (30-31 days old). Key facts preserved in `archive/` summaries.
- Feb 22 hits 30-day threshold tomorrow — queued for next cycle.
- Feb 26-28 already covered by `archive/2026-02-26_to_2026-03-12_idle-period.md` — originals can be cleaned when they hit 30 days (Feb 22-25 first).
- No contradictions found in MEMORY.md.
- No stale TODOs.
### SORT
- Nothing to promote. Polisher-Fullum and Operating Manual remain Antoine's direct work, not HQ-managed.
- Polisher project has evolved from "concept research" to active implementation/simulation phase — noted but no MEMORY.md update needed (project description already covers this scope).
### REPAIR
- **All 7 key infrastructure paths verified** ✓ (taskboard, mc-update, CLUSTER, AGENTS_REGISTRY, orchestrate, PROJECT_STATUS, OP_11 protocol)
- **All 6 agent workspaces present** ✓
- **No broken file paths in MEMORY.md** ✓
- **Taskboard:** Unchanged — ATZ-001 example only. 7 Mission Control tasks from Feb still unresolved.
- **PROJECT_STATUS.md:** Current as of Mar 22 digestion.
### EVOLVE
- **Standing OP_11 idle-mode amendment (Day 24):** No HQ-managed workspace changes for 24+ consecutive days. Antoine remains active on his own projects (Polisher-Fullum now in simulation/implementation phase, Operating Manual writing). Team ready to support when called.
- **Readiness note:** Polisher toolhead work (diaphragm flexure stiffness, conical flexure modeling, COR analysis) is exactly the kind of work Tech Lead and Optimizer could support — parametric FEA sweeps, compliance matrix analysis, joint stiffness characterization. If Antoine pulls us in, we're prepared.
- **Cron reliability:** 4 consecutive successful digestions (Mar 20-23). Gap issue from Mar 13-19 appears resolved.
### SELF-DOCUMENT
- No changes needed to MEMORY.md, SOUL.md, IDENTITY.md, AGENTS.md, or TOOLS.md — all current.

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# 2026-03-24
## Nightly Digestion — OP_11 (Incremental)
### STORE
- **Polisher-Fullum advancing:** New git commit `e88db32` — "Initial: toolhead flexure design notebook + NXOpen script". Files added: `toolhead_flexure_nxopen.py`, `Toolhead_Flexure_Design.ipynb`, `Toolhead_Flexure_NXOpen.ipynb`, `03-NXOpen-Script-Prompt.md`, `README-INSTRUCTIONS.md`. Antoine is moving from concept research into parametric modeling — NXOpen scripted flexure generation.
- **Operating Manual:** 52 files touched again (Syncthing sync — batch update to Operations chapters and Knowledge section, same pattern as Mar 23). Continued writing effort.
- No new Antoine corrections. No new HQ-managed project activity.
### DISCARD
- **Archived** `2026-02-22.md` (30 days old). Key facts preserved in `archive/2026-02-22.md` (MIND_MAP_AUDIT creation, weekend quiet period).
- Feb 23 hits 30-day threshold tomorrow — queued for next cycle.
- Feb 24-25 originals still under 30 days. Feb 26-28 covered by `archive/2026-02-26_to_2026-03-12_idle-period.md`.
- No contradictions found in MEMORY.md.
- No stale TODOs.
### SORT
- Nothing to promote. Polisher-Fullum and Operating Manual remain Antoine's direct work.
- Polisher project evolution noted: moved from trade studies → NXOpen parametric scripting phase. Significant capability development (automated flexure geometry generation).
### REPAIR
- **All 7 key infrastructure paths verified** ✓
- **All 7 agent workspaces present** ✓
- **No broken file paths in MEMORY.md** ✓
- **Taskboard:** Unchanged (ATZ-001 example only). Mission Control tasks.json still has stale tasks from Feb.
- **PROJECT_STATUS.md:** Current as of Mar 20 digestion. No state changes require update.
### EVOLVE
- **Standing OP_11 idle-mode amendment (Day 25):** No HQ-managed workspace changes for 25+ consecutive days. Antoine remains active on own projects (Polisher-Fullum now in NXOpen scripted parametric modeling, Operating Manual writing).
- **Readiness note:** The NXOpen scripted flexure work (`toolhead_flexure_nxopen.py`) is exactly the type of work Study Builder could support — parametric NX journal generation, batch run setup, result extraction. Tech Lead and Optimizer could support design space exploration once Antoine has the base geometry parametrized.
- **Cron reliability:** 5 consecutive successful digestions (Mar 20-24). Gap issue from Mar 13-19 fully resolved.
### SELF-DOCUMENT
- No changes needed to MEMORY.md, SOUL.md, IDENTITY.md, AGENTS.md, or TOOLS.md — all current.

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# 2026-03-27
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed current manager long-term memory plus recent digestion history. No new long-term project facts needed promotion tonight.
- Captured a compressed archive summary for manager daily digestion notes covering **2026-02-23 to 2026-02-25** at `memory/archive/2026-02-23_to_2026-02-25.md`.
### DISCARD
- Pruned three stale manager daily notes past retention threshold by compressing and removing the originals: `2026-02-23.md`, `2026-02-24.md`, `2026-02-25.md`.
- Confirmed no new contradictions in `manager/MEMORY.md` from recent cycles.
### SORT
- Kept retained facts at the archive level because they are historical digestion/admin state, not new company-level doctrine.
- Left project artifacts in place (`shared/reviews/`, agent docs, project memory) because they remain the correct abstraction level.
### REPAIR
- Repaired `secretary/memory/pending.md` to stop referring specifically to "Discord communication" and instead describe the issue as a broader messaging/delivery-path problem.
- Verified the referenced condensation directory exists; the pending note is now less likely to mislead future agents about the current platform.
- Spot-check showed many legacy docs still reference Discord-era workflows and some stale paths; noted but not mass-edited during this incremental pass.
### EVOLVE
- Clear drift pattern: several workspaces still carry Discord-era operational language even though Manager runtime now centers on OpenClaw-native orchestration and Slack/message-tool posting.
- Recommended next focused digestion/repair pass: normalize agent-facing docs from Discord-era wording to current OpenClaw/Slack routing where still operationally relevant.
### SELF-DOCUMENT
- Updated the Secretary pending-memory wording to reflect current reality more accurately.
- No changes needed tonight to Manager `MEMORY.md`, `SOUL.md`, `IDENTITY.md`, `AGENTS.md`, or `TOOLS.md`.

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# 2026-03-28
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed recent manager digestion state plus current cross-workspace memory/docs.
- Captured tonight's real operational lesson in `manager/MEMORY.md`: platform wording updated from legacy Clawdbot framing to current OpenClaw-native orchestration + Slack/message delivery.
### DISCARD
- Pruned stale Discord-bridge assumptions from high-impact shared docs instead of leaving contradictory routing guidance in place.
- Did not mass-delete old agent memory files tonight; many older files are sparse but still historical artifacts rather than clear noise. Better candidate for a dedicated archive pass with per-agent summaries.
### SORT
- Kept routing/process corrections at the company/shared-doc level because the issue affects multiple agents, not just one session.
- Left project-specific memory in place; no new project/domain insights needed promotion tonight.
### REPAIR
- Repaired `shared/CLUSTER.md` to point agents to native OpenClaw orchestration (`sessions_spawn` / `sessions_send`) and current Slack/channel delivery expectations.
- Repaired `shared/skills/taskboard/SKILL.md` to remove Discord-specific delivery wording.
- Repaired `manager/TOOLS.md` to prefer native orchestration over legacy Discord-era delegation habits.
- Repaired `secretary/AGENTS.md` to remove Discord-bridge assumptions and generalize delivery/retry rules to the active messaging path.
- Verified key operational paths still exist: shared `mc-update.sh`, mission-control `mc-update.sh`, `hq/taskboard.json`, `shared/CLUSTER.md`, `shared/AGENTS_REGISTRY.json`, taskboard skill.
### EVOLVE
- Drift pattern confirmed: many non-manager agent docs still contain Discord-era operational language. Highest-value next digestion pass is a broader documentation normalization sweep across all agent workspaces.
- Recommendation: prioritize shared/core docs first (done), then agent-local AGENTS/CHANNELS/HEARTBEAT files in batches so we do not create inconsistent partial rewrites.
### SELF-DOCUMENT
- Updated company/shared docs to better reflect current runtime reality.
- No changes needed tonight to Manager `SOUL.md`, `IDENTITY.md`, or task/project memory.

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# 2026-03-29
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed current manager/shared state plus cross-workspace memory surfaces with recent or still-actionable content.
- Captured tonight's digestion outcome in this daily note rather than promoting any new domain/project knowledge; no fresh technical lessons surfaced.
### DISCARD
- Identified stale outage-era assumptions that were still phrased like active blockers.
- Did not delete old agent memory files tonight; many are sparse and better handled in a dedicated archive pass with per-agent summaries.
### SORT
- Kept the fixes at the shared/process layer because they affect multiple agents and status docs, not a single project.
- Left historical planning docs in `context-docs/` untouched; they are founding artifacts even where they still use legacy Clawdbot wording.
### REPAIR
- Repaired `manager/TOOLS.md` to remove a broken `knowledge_base/projects/` path reference.
- Updated `shared/PROJECT_STATUS.md` timestamp for this digestion pass.
- Repaired `shared/PROJECT_STATUS.md` to stop presenting Webster's old search/API-key issue as a current blocker without re-verification.
- Reframed `secretary/memory/pending.md` outage note as historical delivery debt rather than proof of an active current messaging failure.
- Verified that the repo still contains `knowledge_base/` and `knowledge_base/lac/`, but no dedicated `knowledge_base/projects/` directory yet.
### EVOLVE
- Recurring drift pattern: historical outage notes and early-platform assumptions tend to survive as if still current. Future digestion passes should explicitly classify notes as either historical, active, or resolved.
- Recommended next pass: scan remaining high-signal manager context docs and audits for legacy platform/runtime wording, but preserve historical planning docs unless rewriting them intentionally.
### SELF-DOCUMENT
- Updated live operational docs/status files only.
- No changes needed tonight to Manager `SOUL.md`, `IDENTITY.md`, or taskboard/process ownership docs.

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# 2026-04-01
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed current manager long-term memory, recent digestion history, `shared/PROJECT_STATUS.md`, and cross-workspace memory/doc timestamps.
- Confirmed no new substantive agent-workspace activity since the Mar 29 digestion pass; no new technical/project facts required promotion tonight.
- Preserved the only meaningful lesson from the Mar 112 idle run by compressing those notes into `memory/archive/2026-03-01_to_2026-03-12_idle-digestion.md`.
### DISCARD
- Pruned twelve stale manager daily notes past retention threshold by archiving and removing `2026-03-01.md` through `2026-03-12.md`.
- Confirmed those files were repetitive idle-period digestion logs and did not merit separate active-memory retention.
- No contradictions found in active manager memory during this pass.
### SORT
- Kept the March 112 compression at the archive level because it is historical operational context, not company doctrine.
- Left project facts in `MEMORY.md` and `shared/PROJECT_STATUS.md` at the correct abstraction level.
### REPAIR
- Refreshed `shared/PROJECT_STATUS.md` timestamp for the current digestion cycle.
- Spot-checked current operational surfaces: manager/shared docs and recent memory files remain internally consistent with the presently quiet HQ state.
- No new broken path references were introduced in the reviewed files.
### EVOLVE
- The idle-noise pattern remains real: long stretches of nightly digestion still create low-value repetition when no work changed.
- Existing amendment proposal stands: add an OP_11 idle-mode rule to reduce cadence during 7+ day no-change windows. This remains a proposal only and needs CEO approval before protocol change.
### SELF-DOCUMENT
- Added this digestion note.
- No changes needed tonight to Manager `MEMORY.md`, `SOUL.md`, `IDENTITY.md`, `AGENTS.md`, or `TOOLS.md`.

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# 2026-04-02
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed the last ~36 hours of activity across manager/shared workspace surfaces.
- Confirmed there was still no new specialist project output to promote into long-term memory or project knowledge.
- Preserved the only still-relevant signal from four stale February daily notes by compressing them into `memory/archive/2026-02-22_to_2026-02-28_idle-and-aom-summary.md`.
### DISCARD
- Pruned four stale manager daily notes past retention threshold: `2026-02-22.md`, `2026-02-26.md`, `2026-02-27.md`, `2026-02-28.md`.
- Identified repetitive stale-task heartbeat comments accumulating in mission-control data on Apr 1; treated this as operational noise rather than new knowledge.
- No new factual contradictions found in active manager memory.
### SORT
- Kept the Feb 22 AOM/V2 migration session as archive-level historical context, since the enduring decisions already live in higher-level memory/docs.
- Left current project facts in `MEMORY.md` and `shared/PROJECT_STATUS.md`, but repaired their path references so they resolve correctly.
### REPAIR
- Fixed broken path references in live docs:
- `manager/MEMORY.md`
- `shared/PROJECT_STATUS.md`
- `manager/AGENTS.md`
- Refreshed `shared/PROJECT_STATUS.md` timestamp for this digestion pass.
- Verified key referenced paths now resolve correctly for current workspace usage.
### EVOLVE
- Reconfirmed the idle-noise pattern: repeated stale-task nudges can bloat mission-control history without adding decision value.
- Proposed operational improvement remains the same in spirit: reduce OP_11 noise during long idle windows and batch stale-task follow-ups rather than posting near-duplicate comments.
- No protocol change applied automatically; this is an operational observation, not a silent policy rewrite.
### SELF-DOCUMENT
- Added this nightly digestion note.
- Updated path hygiene in active docs so a new agent can follow references without guessing workspace-relative roots.
- No role/persona/tooling changes needed tonight.

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# 2026-04-03
## Nightly Digestion — OP_11 (Incremental)
### STORE
- Reviewed active manager/shared status surfaces plus agent workspace memory/doc timestamps for the last day.
- Confirmed there was no new substantive project output to promote into long-term project knowledge tonight.
- Captured one reusable operational lesson through direct repair instead of only noting it: specialist AGENT instructions still carried legacy delegate/Discord routing in several workspaces.
### DISCARD
- Pruned stale runtime assumptions from specialist AGENTS docs where they still instructed agents to rely on `delegate.sh`, Hooks/Discord-bridge behavior, or Discord-only posting rules.
- Did not archive additional manager daily notes tonight; current active notes are still inside the 30-day retention window.
- No new factual contradictions found in active manager memory or project status.
### SORT
- Kept tonight's correction at the workspace/cluster-doc level because the issue affected multiple specialist agents, not a single project.
- Left project facts in `manager/MEMORY.md` and `shared/PROJECT_STATUS.md` unchanged because no project state actually moved today.
### REPAIR
- Repaired AGENTS guidance in these specialist workspaces:
- `technical-lead/AGENTS.md`
- `optimizer/AGENTS.md`
- `study-builder/AGENTS.md`
- `auditor/AGENTS.md`
- `nx-expert/AGENTS.md`
- `webster/AGENTS.md`
- Replaced legacy delegation/routing language with OpenClaw-native orchestration and active-channel wording.
- Refreshed `shared/PROJECT_STATUS.md` timestamp for this digestion pass.
- Verified core shared paths still resolve: `shared/CLUSTER.md`, taskboard skill, `shared/mc-update.sh`, mission-control tasks data, and `hq/taskboard.json`.
### EVOLVE
- Drift pattern is still real: several lower-traffic docs outside the core orchestration surfaces still use Discord-era naming. The highest-value next repair pass is broader normalization of `CHANNELS.md`, `HEARTBEAT.md`, and any still-operational skill docs that mention Discord as if it were current runtime behavior.
- No protocol amendment made tonight. This was a documentation correction, not a policy change.
### SELF-DOCUMENT
- Added this digestion note.
- Updated live specialist AGENTS docs so a newly spawned specialist is less likely to follow deprecated routing instructions.
- No changes needed tonight to Manager `SOUL.md`, `IDENTITY.md`, `TOOLS.md`, or long-term `MEMORY.md`.

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# Archive Summary — 2026-02-10
**Biggest single day of Hydrotech Beam work.** Full details archived from daily log at 30-day threshold.
## Key Events
- Received 3 KBS capture sessions from Antoine (NX/Simcenter walkthrough of Hydrotech Beam model)
- Tech Lead processed sessions → KB Gen 002 update (commit `b88657b`)
- Mass corrected to **1,133.01 kg** (`p173`) — Antoine correction, ground truth
- Binary introspection of Beam.prt → full expression table extracted (commit `15a457d`)
- DV baselines confirmed NOT round: face_thickness=21.504, core_thickness=25.162
- `beam_lenght` has TYPO in NX (no 'h') — must use exact spelling
- Gaps G12-G14 closed
## Optimization Pipeline Built (Full Chain)
1. Optimizer updated strategy with corrected baselines (commit `3e51804`)
2. Auditor reviewed → APPROVED WITH CONDITIONS (hole spacing formula + web height constraint fixed, commit `94bff37`)
3. Study Builder completed Phase 1 code: run_doe.py, sampling.py, geometric_checks.py, nx_interface.py (commit `017b90f`)
4. Study Builder delivered NXOpenSolver wrapper around existing Atomizer engine (commit `33180d6`)
5. Tech Lead refined NXOpenSolver v2 with auto-detection + fallbacks (commit `390ffed`)
6. Antoine tested on dalidou → 2 bugs fixed (commit `135698d`)
7. Full refactor of nx_interface.py → AtomizerNXSolver (commit `126f0bb`)
## Key Technical Facts (Preserved)
- Beam: 5,000mm length, cantilever (left fixed, right 10,000 kgf down)
- Hole span = 4,000mm (`p6`), kept fixed (Manager decision)
- Material: ANSI Steel 1005 (future: aluminum 6061, stainless ANSI 310)
- Mesh: CQUAD4 thin shells, mid-surface idealization, element size 67.4/2
- Conda env: `atomizer` on Windows (dalidou), all deps pre-installed
- Windows path: `C:\Users\antoi\Atomizer\projects\hydrotech-beam\`
- Existing engine reused: NXSolver + NXParameterUpdater + pyNastran extractors
## Infra Fixes
- Study Builder model corrected (`claude-sonnet-5``claude-sonnet-4-20250514`)
- API auth propagated to all agents from Manager's auth-profiles.json
## CEO Requests Logged
- NX Simcenter 3D MCP server — Phase 2/3 roadmap item
## Open at EOD
- Antoine to test `--backend nxopen` smoke test on dalidou
- Full 51-trial Phase 1 run pending
- Phase 2 TPE optimization pending

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# Archive Summary — 2026-02-11
## Key Events
- Added `#research-and-development` channel (C0AEB39CE5U) to Slack config; all 6 agents bound
- Set `requireMention: false` globally for all Slack channels per Antoine's request
## NXOpen MCP Server — INSTALLED
- **Repo**: `http://100.80.199.40:3000/Antoine/NXOpen-MCP.git`
- **Local path**: `/home/papa/atomizer/tools/nxopen-mcp/`
- **Data**: 203MB pre-indexed ChromaDB + JSON caches (15,219 NXOpen classes, 64,320 methods, 149 nxopentse functions, 287 pyNastran classes)
- **Run**: `./run-server.sh`
- **Protocol**: stdio-based MCP
- Wired into NX Expert agent via exec/Python subprocess
## NX Expert Agent — HIRED
- **Agent ID**: `nx-expert` | **Model**: Sonnet 4
- **Workspace**: `/home/papa/atomizer/workspaces/nx-expert/`
- First Phase 2 agent — ahead of schedule

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# Archive Summary — 2026-02-13
## Key Events
- **Nightly Digestion Cron LIVE** — Job `e157faf0`, 4:00 AM ET daily, isolated agentTurn (manager), announces to #all-atomizer-hq
- **Hydrotech Beam resumed** — Antoine approved Phase 2. DOE Phase 1 gate check failed: 39/51 solved, 0 fully feasible, mass=NaN on all trials
- **Mass NaN Fix committed** — `580ed65`. Root cause: `solve_simple_workflow()` tried reading mass via stale `p173` expression after part switching. Fix: extract mass right after geometry rebuild using `MeasureManager.NewMassProperties()`
- **DEC-HB-012** — Displacement constraint relaxed 10→20mm (CEO approved, dummy case)
- Sub-agent issues: Tech Lead hit 200K token limit (×2), NX Expert couldn't post to Slack (channel routing issue for spawned agents)
- **Lesson:** Sub-agents need leaner prompts; Slack channel routing broken for spawned sessions

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# Archive: 2026-02-19
**Original:** Nightly Digestion — OP_11 (Incremental)
## Key Facts Preserved
- Updated MEMORY.md with Project Standard review package status + Auditor MVS recommendation
- Captured lessons: Secretary/sub-agent Slack posting issues, Auditor review value
- Updated PROJECT_STATUS.md with all 3 active projects
- Fixed: Webster missing from AGENTS.md Agent Directory table
- Noted: Auditor blocked on P-Adaptive-Isogrid review since Feb 16
- Observation: Project Standard multi-agent orchestration worked well — taskboard protocol maturing
- Issue flagged: mc-update.sh `list` command doesn't work

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# Archive: 2026-02-20
**Original:** Nightly Digestion — OP_11 (Incremental)
## Key Facts Preserved
- **Adaptive Isogrid Plate Lightweighting** project discovered — full spec + 3 reviews in `shared/war-room-isogrid/`
- Webster hit web_search API key issue (TASK-001 blocked)
- PROJECT_STATUS.md and MEMORY.md updated with Isogrid project
- No Antoine corrections to capture

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# Archive: 2026-02-21
**Original:** Nightly Digestion — OP_11 (Incremental)
## Key Facts Preserved
- No new activity. Weekend quiet period.
- war-room-overhaul/repo-structure.md created Feb 20 (repo audit artifact)
- Outstanding: Webster web_search API key still unresolved
- Outstanding: Auditor P-Adaptive-Isogrid block since Feb 16 still unresolved

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# Archive: 2026-02-22
## Key Facts Preserved
- MIND_MAP_AUDIT.md (16KB) created Feb 21 — comprehensive audit of Excalidraw master mind map vs actual codebase/docs. 385 text nodes reviewed.
- No project activity — weekend quiet period.
- Tech Lead legacy files from 2025 flagged for consolidation (not yet done).
- All infrastructure paths verified.
## Original Context
Weekend digestion. No new Antoine corrections. Three projects awaiting CEO input (Hydrotech, Project Standard, Isogrid).

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# 2026-02-22 to 2026-02-28 — Archived Digestion Summary
## Why archived
These daily notes were older than the 30-day active-memory retention window. They covered one major AOM/migration planning session plus several repetitive idle digestion passes.
## Key retained signal
### 2026-02-22 — High-value session
- Antoine reviewed AOM status and drove a major documentation push.
- AOM Phase 3, 4, and 5 were completed that day, including digestion/context-engineering material and maintenance rules.
- Atomizer was explicitly moved toward a tool-agnostic architecture.
- V2 migration direction was established: new V2 repo, documentation-first, Obsidian remains source during transition.
- Key recorded decisions from that session:
- DEC-030: tool-agnostic architecture approved
- DEC-032: create new V2 repo instead of cleaning V1
- DEC-033: documentation first, code later
- DEC-021: AOM stays in Obsidian until migration
- At that time, `sessions_spawn` was blocked by pairing issues; delegation reliability was an active infrastructure concern.
### 2026-02-26 to 2026-02-28 — Repetitive idle digestion
- No new agent activity across HQ workspaces.
- Core projects remained blocked on CEO input.
- Repeated nightly notes mainly updated timestamps/blocker ages without adding new knowledge.
## What was intentionally not retained verbatim
- Repetitive "no activity" nightly entries from Feb 2628.
- Daily timestamp-only updates already superseded by higher-level memory and project status docs.
## Persistent lessons preserved elsewhere
- Idle digestion can create low-value repetition; cadence/idle-mode tuning remains a candidate OP_11 improvement pending CEO approval.
- Project bottlenecks were mostly decision/approval bound, not execution bound.

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# Archive Summary — 2026-02-23 to 2026-02-25
Compressed from daily digestion notes after 30-day retention threshold.
## Key retained facts
- **AOM / Atomizer V2 Migration** became the dominant workstream and reached completion state by Feb 24, including coherence audit, preflight fixes, and HQ separation completion (DEC-037).
- **AOM V2 planning artifacts** were produced and reviewed, including the V2 migration audit and code review in `shared/reviews/`.
- **CEO decisions were pending** across several projects during this window, creating a broad holding pattern.
- **Sub-agent spawning instability** was observed around Feb 22, then downgraded from full blocker to intermittent issue after successful auditor execution.
- **Arsenal Development Plan** and **Arsenal Risk Analysis** were added on Feb 25 as new project-level artifacts in Technical Lead and Auditor workspaces.
- **Chronic blocked items noted at the time:** P-Adaptive-Isogrid follow-up, Webster web search/API access, and several CEO-approval waits.
## Why originals were compressed
- These entries were primarily incremental digestion/admin state.
- Reusable project facts were already preserved in long-term memory and project/review artifacts.
- Detailed day-by-day repetition was no longer worth keeping as standalone daily files.

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# Archive Summary — Idle Period: 2026-02-26 to 2026-03-12
**15 consecutive nightly digestion cycles with zero workspace activity.**
All workspaces (manager, secretary, technical-lead, optimizer, study-builder, auditor, webster) had zero file changes throughout this period. Each nightly OP_11 cycle confirmed the same state.
## Actions Taken During Period
- **Mar 8**: Archived `2026-02-08.md` and `2026-02-09.md` (30+ days old)
- **Mar 12**: Archived `2026-02-10.md` (30 days old)
- Path verifications performed nightly — all OK throughout
## Standing State (unchanged from Feb 25)
- 3 projects awaiting CEO input: Hydrotech (blocked on dalidou pull), Project Standard (MVS vs full spec decision), Isogrid (CEO review)
- Webster blocked on web_search API key (needs Mario)
- Auditor Isogrid review moot until CEO reviews spec
## EVOLVE Recommendation (first raised Mar 8)
- **OP_11 idle-mode amendment proposed**: When no workspace file changes for >7 consecutive days, switch digestion to weekly-only. Resume nightly when activity resumes. 15 consecutive near-identical cycles confirm this need.
- Requires CEO approval per protocol change rules.

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# 2026-03-01 to 2026-03-12 — Idle Digestion Archive
## Summary
This archive compresses twelve consecutive nightly OP_11 digestion entries from an extended idle period. Across this span, no substantive project or agent-workspace activity resumed. The repeated outcomes were consistent:
- No new activity across agent workspaces
- No CEO corrections or new directives
- No contradictions found in active manager memory
- Key operational paths remained valid when spot-checked
- Main open items remained unchanged: Hydrotech Beam, Atomizer Project Standard, and Adaptive Isogrid awaiting CEO input
## Notable Actions Preserved
### 2026-03-08
- Archived `2026-02-08.md` and `2026-02-09.md` after they crossed the 30-day retention threshold.
- Recorded a process-improvement observation: nightly digestion during long idle stretches was producing repetitive low-value logs.
### 2026-03-11
- Elevated the idle-noise pattern into a formal amendment proposal for OP_11:
- If no workspace file changes occur for 7+ consecutive days, digestion frequency should drop from nightly to weekly until activity resumes.
- This remains a proposal only and would require CEO approval.
### 2026-03-12
- Archived `2026-02-10.md` after it crossed the 30-day retention threshold.
- Confirmed again that the March 112 logs themselves were mostly boilerplate digestion output and suitable for later compression.
## Operational State During This Window
- Team status: effectively idle
- No broken references found in the spot-checked manager/shared operational paths
- No documentation changes required during the period
- No new domain/project knowledge needed promotion to long-term memory
## Why These Files Were Compressed
These twelve daily notes were all digestion-only entries from the same idle stretch and did not each justify separate active-memory retention. This archive preserves the meaningful signal while removing repetitive noise from the live memory directory.

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## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager or another specialist through the active OpenClaw messaging/orchestration path.
These are high-priority assignments. See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the current coordination model.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat incoming channel messages as real user/team messages that need a real response
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — NX Expert Workspace
@@ -70,14 +70,12 @@ Source filters: `"nxopen"`, `"nxopentse"`, `"pynastran"`
- **Project channels** — When summoned for NX-specific questions
- Use `sessions_send` for direct agent communication
- Tag with 🖥️ or @nx-expert
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
## Key Rules
@@ -98,7 +96,19 @@ CALLER=nx-expert bash /home/papa/atomizer/workspaces/shared/skills/taskboard/tas
When working on a task:
- Update status to `in-progress`: `CALLER=nx-expert bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=nx-expert bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

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## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager or another specialist through the active OpenClaw messaging/orchestration path.
These are high-priority assignments. See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the current coordination model.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat incoming channel messages as real user/team messages that need a real response
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — Optimizer Workspace
@@ -42,14 +42,12 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
- Hand off study designs to Study Builder
- Submit plans/results to Auditor for review
- **Post updates to project channels** — keep the team informed
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
## Agent Directory
@@ -79,7 +77,19 @@ CALLER=optimizer bash /home/papa/atomizer/workspaces/shared/skills/taskboard/tas
When working on a task:
- Update status to `in-progress`: `CALLER=optimizer bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=optimizer bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

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@@ -1,9 +1,9 @@
## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager via native OpenClaw orchestration (`sessions_spawn` / `sessions_send`) or via the current channel routing setup.
These are high-priority assignments.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat inbound user/channel messages as real work, not heartbeats
- Post results back in the originating channel/thread using the current routing and `message` tool where applicable
# AGENTS.md — Secretary Workspace
@@ -35,14 +35,12 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
- DMs from Antoine come to you — triage and route
- Use `sessions_send` to check with other agents
- Format updates using the dashboard template
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
### Inbound Channel Messages
Inbound channel messages are real user/team messages, not heartbeats.
- Respond conversationally when a response is needed
- Treat them according to the current workspace routing rules
- If delivery is required, use the active channel path/tooling rather than assuming an automatic Discord bridge
- Do NOT confuse real messages with system events or heartbeats
## Responsibilities
@@ -72,7 +70,7 @@ You are the **final step** in every orchestration chain. After Manager completes
- Key findings/decisions
- Any follow-up items
4. **Post to Discord `#reports`** — this is the official record for Antoine
4. **Post to `#reports` via the active messaging path** — this is the official record for Antoine
5. **Update your task status** on the taskboard:
```bash
@@ -99,7 +97,19 @@ CALLER=secretary bash /home/papa/atomizer/workspaces/shared/skills/taskboard/tas
- **NEVER modify API keys or credentials**
### ⚠️ CRITICAL: No Retry Loops
If you fail to post to a Discord channel, **do NOT retry repeatedly or DM Antoine about it.**
If you fail to post to a channel, **do NOT retry repeatedly or DM Antoine about it.**
- Try once. If it fails, log the failure in `project_log.md` and move on.
- Do NOT send status updates about "Discord being down" to Antoine's DM.
- Do NOT send status updates about routing/outbound delivery being down to Antoine's DM.
- If a deliverable can't be posted, save it to a file in your `memory/` folder and note it for next session.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Use the active routing/message tools and current workspace rules.
**CRITICAL RULES:**
1. You CAN see other agents' visible posts — use them for context
2. You MUST NOT respond to other agents' posts unless you were directly @mentioned/named or routing requires it
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if NO, stay silent
6. Every unnecessary post wastes CEO attention and budget — silence is the default

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@@ -4,15 +4,15 @@
- **Summary:** The SOTA review for the P-Adaptive-Isogrid tool is complete. It identified a **critical risk**: the tool is completely blind to buckling, a primary failure mode.
- **Plan:** A prioritized list of 5 improvements has been established, with an analytical buckling check as the highest priority.
- **Deliverable:** `/home/papa/atomizer/hq/condensations/2026-02-16-isogrid-sota-review.md`
- **Action:** Inform Antoine as soon as Discord communication is restored.
- **Action:** Inform Antoine when the current messaging/delivery path is confirmed working again.
## Thermal Analysis Report
- **Summary:** A thermal analysis report has been summarized and is ready for review.
- **Action:** Post to #reports channel once Discord communication is restored.
- **Action:** Post to #reports once the current messaging/delivery path is confirmed working again.
## Delegation Task
- **Summary:** A delegation task has completed but could not post its report.
- **Action:** Post to relevant channel once Discord communication is restored.
- **Action:** Post to the relevant channel once the current messaging/delivery path is confirmed working again.
## Hydrotech Beam Project — Status
- Technical gaps resolved, displacement constraint relaxed 10mm → 20mm (DEC-HB-012, CEO approved)
@@ -20,5 +20,5 @@
- **Next:** Pull fix on dalidou, test single trial, re-run full DOE with 20mm constraint
- **Updated:** 2026-02-14 (digestion cycle)
## System Alert: Discord Communication Failure
- The `message` tool is consistently failing. This is preventing automated reports and manual messages from being sent. Needs investigation.
## System Alert: Messaging / Delivery Failure
- Historical note from the earlier outage window: the `message` tool was failing during that capture period, preventing automated reports and manual messages from being sent. Treat these pending items as old delivery debt to verify/release, not as proof of an active current outage.

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@@ -15,56 +15,32 @@
## Inter-Agent Communication
Each agent runs as an independent OpenClaw gateway. To send a message to another agent:
Use **OpenClaw native orchestration**, not legacy hooks/curl patterns.
```bash
curl -s -X POST http://127.0.0.1:PORT/hooks/agent \
-H "Content-Type: application/json" \
-H "Authorization: Bearer 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1" \
-d '{"message": "your message", "agentId": "AGENT_ID"}'
```
### Primary methods
- `sessions_spawn` — delegate substantial work to a specialist
- `sessions_send` — steer or clarify an active session
- `subagents(action=list)` — check status only when needed
### Examples
### Messaging / delivery
- Use the `message` tool for visible updates to Slack or other configured channels
- Keep specialist-to-specialist coordination internal unless Antoine needs to see it
- Manager is responsible for visible orchestration summaries in the originating channel/thread
```bash
# Report to manager
curl -s -X POST http://127.0.0.1:18800/hooks/agent \
-H "Content-Type: application/json" \
-H "Authorization: Bearer 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1" \
-d '{"message": "Status update: FEA analysis complete", "agentId": "manager"}'
## Channel Ownership
# Delegate to tech-lead
curl -s -X POST http://127.0.0.1:18804/hooks/agent \
-H "Content-Type: application/json" \
-H "Authorization: Bearer 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1" \
-d '{"message": "Please review the beam optimization study", "agentId": "technical-lead"}'
# Ask webster for research
curl -s -X POST http://127.0.0.1:18828/hooks/agent \
-H "Content-Type: application/json" \
-H "Authorization: Bearer 31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1" \
-d '{"message": "Find papers on topology optimization", "agentId": "webster"}'
```
## Discord Channel Ownership
- **Manager**: #ceo-office, #announcements, #daily-standup, #active-projects, #agent-logs, #inter-agent, #general, #hydrotech-beam
- **Tech Lead**: #technical, #code-review, #fea-analysis
- **Secretary**: #task-board, #meeting-notes, #reports, #knowledge-base, #lessons-learned, #it-ops
- **NX Expert**: #nx-cad
- **Webster**: #literature, #materials-data
- **Auditor, Optimizer, Study Builder**: DM + hooks (no dedicated channels)
## Slack (Manager only)
Manager also handles Slack channels: #all-atomizer-hq, #secretary, etc.
Current operational home channels:
- **Manager**: `#hq`, `#all-atomizer-hq`, `#agent-ops`, `#social`
- **Secretary**: `#secretary`, `#reports`
- **Technical Lead**: `#technical-lead`
- **Shared specialist summon channel**: `#all-atomizer-hq` via @mentions / routing rules
## Rules
1. Always respond to Discord messages — NEVER reply NO_REPLY
2. When delegating, be specific about what you need
3. Post results back in the originating Discord channel
4. Use hooks API for inter-agent communication
1. Use native OpenClaw tools for inter-agent communication
2. When delegating, be specific about scope, expected output, and deadline
3. Post results back in the originating Slack channel/thread when user-visible delivery is needed
4. Do not rely on legacy Discord bridge assumptions unless a task explicitly targets a Discord environment
## Response Arbitration (Anti-Collision)

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@@ -0,0 +1,30 @@
# Discord Posting Rules (ALL AGENTS — MANDATORY)
## Core Principle
You can **see** everything on Discord. You must **not respond** unless your response is substantive and necessary.
## You MUST respond when:
- **Manager or Antoine directly asks you** something (by @mention or name)
- You have a **deliverable** to post (analysis, research, code, report, findings)
- You need to **flag a concern** — a technical error, blocker, risk, or disagreement with another agent's work
- You have a **status update** on an assigned task
## You MUST NOT respond when:
- Another agent posts an intro, update, or deliverable — **do not comment, react, or acknowledge**
- You want to say "great work", "looking forward to collaborating", "👍", "exactly" — **NO social chatter**
- You were not @mentioned or named — **silence is the default**
- The conversation doesn't require your specific expertise — **stay quiet**
- You want to echo or rephrase what someone else said — **add value or add nothing**
## The Test
Before posting, ask: **"Does Antoine need to see this?"**
- If YES → post it
- If NO → respond with NO_REPLY (do not post)
## Inter-agent coordination
- For back-and-forth discussion with other agents, use `sessions_send` / `sessions_spawn` (internal, no Discord cost)
- Discord is the **company bulletin board** — post results, not conversations
- Reading other agents' posts gives you context — use it silently, don't reply to it
## Token Budget
Every Discord response costs API tokens that Antoine pays for. Unnecessary responses = wasted money. When in doubt, **don't post**.

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@@ -1,29 +1,40 @@
# Project Status Dashboard
Updated: 2026-02-23 04:00 AM (Nightly Digestion OP_11)
Updated: 2026-04-03 04:00 AM (Nightly Digestion OP_11)
## Active Projects
### 📦 AOM / V2 Migration (NEW — Feb 22)
- **Phase:** Documentation complete, migration plan reviewed
- **Status:** 🟡 AWAITING CEO DECISIONS (6 items)
- **What happened:** AOM completed (48 docs, ~8,830 lines, zero NX-only assumptions). Tool-agnostic architecture approved (DEC-030). V2 repo created at `192.168.86.50:3000/Antoine/Atomizer-V2` (DEC-032). Migration masterplan written + audited (11 findings addressed in V2 plan, 12-day timeline).
- **Deliverables ready:** AOM (Obsidian), V2 Migration Masterplan V2, Auditor audit, code review
- **Location:** Obsidian vault `P-Atomizer-Operating-Manual/`, `shared/reviews/`
- **Pending CEO decisions:** License type, GitHub name, Obsidian sync strategy, HQ separation, projects/ exclusion, repo visibility, timing to start
- **Owner:** Manager
### 🔭 GigaBIT M1 — Reference Frame Stiffness Characterization
- **Phase:** Active — Model Setup
- **Client:** StarSpec (Adyn Miles)
- **Project ID:** P04-GigaBIT-M1
- **Created:** 2026-03-04
- **Objective:** Determine minimum stiffness requirements for StarSpec's reference frame at 5 mirror support interface points. Quantify WFE sensitivity to frame compliance.
- **Method:** Hybrid B+D (sensitivity + stiffness sweep), SOL 101, ~42 runs total
- **Key numbers:** ΔWFE budget ≤1.0 nm RMS, system allocation ≤22 nm RMS (contract), mechanical target <14 nm RMS
- **Location:** `/home/papa/repos/Atomizer/projects/gigabit-m1-frame-stiffness/`
- **PKM:** `/home/papa/obsidian-vault/2-Projects/P04-GigaBIT-M1/`
- **Owner:** Antoine (direct)
### ✅ P-Zernike-Validation (GigaBIT M1 Risk Reduction)
- **Phase:** ✅ COMPLETE (2026-03-09)
- **What:** Zernike pipeline V&V — 18 test cases pass, cross-validated against prysm v0.21.1 to machine precision (<1e-13 nm)
- **Commits:** `f9373be` (round-trip validation), `075ad36` (prysm cross-validation + report figures)
- **Requested by:** Adyn Miles (StarSpec) for risk reduction before M2/M3 ordering
- **Owner:** Antoine (direct)
### 🔩 Hydrotech Beam — Optimization
- **Phase:** DOE Phase 1 complete, awaiting Phase 2 (TPE)
- **Status:** ⏸️ BLOCKED — Mass NaN fix committed (580ed65), needs pull + test on dalidou
- **Key numbers:** 39/51 trials solved, 0 fully feasible (displacement), constraint relaxed to 20mm
- **Next:** Antoine pulls fix on dalidou → test single trial → rerun DOE → Phase 2 TPE
- **Note:** Lower priority — Antoine focused on GigaBIT M1 work
- **Owner:** Tech Lead + Study Builder
### 📐 Atomizer Project Standard
- **Phase:** Review complete, awaiting CEO decision
- **Status:** 🟡 AWAITING APPROVAL
- **Deliverables ready:** Full spec, tech-lead review, auditor audit, secretary synthesis
- **Location:** `shared/standardization/`
- **Location:** `/home/papa/atomizer/workspaces/shared/standardization/`
- **Key decision:** Auditor recommends MVS (minimal viable standard) over full spec. Antoine to decide.
- **Owner:** Manager
@@ -31,24 +42,31 @@ Updated: 2026-02-23 04:00 AM (Nightly Digestion OP_11)
- **Phase:** Technical spec locked, reviews complete
- **Status:** 🟡 AWAITING CEO REVIEW
- **Deliverables ready:** Full technical spec (32KB), optimizer review, tech-lead review, webster review
- **Location:** `shared/war-room-isogrid/`
- **Architecture:** Python Brain + NX Hands + Atomizer Manager (semi-automated isogrid optimization)
- **Location:** `/home/papa/atomizer/workspaces/shared/war-room-isogrid/`
- **Next:** CEO review → implementation planning
- **Owner:** Manager / Tech Lead
### 🔬 Material Research (M2 Mirror Trade Study)
- **Phase:** Research complete
- **Status:** ✅ Data collected (Zerodur, Clearceram-Z HS, Invar 36, SiC)
- **Next:** Awaiting project context to produce recommendation
- **Owner:** Webster
### 📦 Atomizer V2 Migration
- **Phase:** ✅ COMPLETE (2026-02-23)
- **Post-migration:** V1 tagged `v1-final`, kept active. AOM→Obsidian auto-sync via crontab. Phase 6 (archive V1) deferred until Antoine switches production work.
- **Remaining roadmap:** Items 4-9 in ROADMAP-NEXT.md
### 🏢 Atomizer/HQ Separation
- **Phase:** ✅ COMPLETE (2026-02-23)
- **Decision:** DEC-037
## Infrastructure Updates
- **Tier 2 dev workflow** added (2026-03-07, commit `b3162aa`): Windows test runner (`run_tests.bat`), result sync via Syncthing, JSON result capture, `--quick` mode for NX-independent tests
- **Daily HQ syncs** continue (automated commits through Mar 12)
## Outstanding Blockers
- **Auditor** blocked on P-Adaptive-Isogrid review since Feb 16 (needs Tech Lead response)
- **Webster** web_search API key missing (needs Mario, since Feb 19)
- **Sub-agent spawning** intermittently broken ("pairing required" error, Feb 22)
- **4 projects** simultaneously awaiting CEO input — triage needed
- **3 projects** awaiting CEO input (Hydrotech, Project Standard, Isogrid) — deprioritized while Antoine focuses on GigaBIT M1
- No newly verified infrastructure blockers during this digestion pass; prior Webster search-tool/API-key issue appears historical and should only be reinstated if it reproduces
## Recent Completions
- 2026-02-22: AOM 100% complete (48 docs), tool-agnostic architecture, V2 migration plan + audit
- 2026-02-18: Project standardization package assembled and reviewed
- 2026-02-17: System test orchestration validated
## Mission Control — Stale Tasks
Several MC tasks have been in `in_progress` or `review` since mid-February with no updates:
- ATZ-2f1634: P-Adaptive-Isogrid (in_progress)
- ATZ-74f02a: Atomizer Overhaul (in_progress)
- ATZ-839392: Project Standard — Introspection (in_progress)
- ATZ-749aac, ATZ-d3fce9, ATZ-05c017, ATZ-21695d: all in review
These should be resolved (completed or closed) when Antoine returns to HQ work.

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@@ -0,0 +1,417 @@
# Cross-Document Coherence Audit — V2 Migration Pre-Flight
**Date:** 2026-02-23
**Auditor:** Auditor (Subagent)
**Documents Reviewed:** 5 source document sets, 48 AOM docs (sampled), 4 pillars
**Scope:** Pre-migration alignment verification for Atomizer V2 migration
---
## Executive Summary
**VERDICT: CONDITIONAL PASS — Proceed with Cautions**
The V2 migration can proceed, but **not as-is**. Three critical contradictions and five major gaps require resolution before Phase 1 execution. The documents are directionally aligned on architecture and tool strategy, but they diverge on:
1. **Contracts implementation timing** (contradictory)
2. **Project Standard integration scope** (under-specified in Arsenal V3)
3. **Structural path definitions** (contradictions between Arsenal V3 and Migration Plan V3.1)
### Top 3 Findings
| # | Finding | Severity | Impact |
|---|---------|----------|--------|
| 1 | **Contracts deferral conflict:** Arsenal V3 says "contracts are canonical in architecture doc," Migration Plan V3.1 says "stubs only at P0, implement post-migration" — Architecture doc says "contracts are NEW" (not existing). This creates a circular dependency. | 🔴 CRITICAL | Phase 1 cannot implement contracts that don't exist yet |
| 2 | **Project Standard orphaned in Arsenal V3:** Migration Plan V3.1 added full Project Standard integration (§5.5, templates/, init script) as P1 deliverables. Arsenal V3 Final (the architecture source) doesn't mention Project Standard at all — no templates folder, no init script, no study paths at `03-studies/`. | 🔴 CRITICAL | Arsenal V3 is not the complete architecture — migration plan adds 15+ deliverables not defined upstream |
| 3 | **NX consolidation path mismatch:** Arsenal V3 says `atomizer/processors/geometry/nx_geometry.py`, Migration V3 says `atomizer/nx/` as consolidated NX home with journals/ subdirectory. Both are present in V2 structure tree but with different organizational philosophies. | 🟡 MAJOR | NX code may be split across two locations creating maintenance confusion |
### Recommendation
**APPROVE migration with mandatory pre-Phase-1 actions:**
1. **Resolve contracts chicken-and-egg:** Either (a) write contract stub definitions NOW in architecture doc before migration starts, OR (b) accept that contracts are post-migration work and remove all P0/P1 references to implementing them
2. **Backport Project Standard to Arsenal V3:** Update Arsenal V3 Final (the canonical architecture) to include Project Standard as a first-class component with templates/, init script, and engine --project-root support
3. **Consolidate NX strategy:** CEO decision: Is NX a processor alongside others (`processors/geometry/nx_geometry.py`) OR is it a special legacy subsystem (`nx/` with all NX code consolidated)? Both structures exist in the plan — pick one.
With these three corrections, the migration is **sound and executable**.
---
## A. Structural Alignment
**Question:** Does the V2 repo structure in the migration plan match what Arsenal V3 defines?
### Alignment ✅
| Component | Arsenal V3 Final | Migration Plan V3.1 | Status |
|-----------|------------------|---------------------|--------|
| Three-layer architecture | `contracts/`, `processors/`, `orchestrator/` | ✅ Present in V2 tree | ✅ MATCH |
| Optimization engine | `atomizer/optimization/` | ✅ Present | ✅ MATCH |
| Extractors | `atomizer/extractors/` | ✅ Present | ✅ MATCH |
| Spec/config | `atomizer/spec/` | ✅ Present | ✅ MATCH |
| Dashboard | `dashboard/` | ✅ Present | ✅ MATCH |
| MCP servers | `mcp_servers/` | ✅ Present (placeholder) | ✅ MATCH |
| Knowledge base | `atomizer/knowledge/` | ✅ Present | ✅ MATCH |
### Contradictions 🔴
| Item | Arsenal V3 Says | Migration Plan V3.1 Says | Resolution Needed |
|------|----------------|-------------------------|-------------------|
| **Contracts location** | "Canonical in `ATOMIZER-TOOL-AGNOSTIC-ARCHITECTURE.md` Section 2.1" (Arsenal V3 §2.12.2) | `atomizer/contracts/*.py` files in V2 tree (§2) | ⚠️ **Problem:** Architecture doc (from AOM review) says contracts are NEW design, not existing code. Arsenal says "don't duplicate dataclass definitions" but doesn't provide them. Migration says "stub → implement P1/P2" but Arsenal says "these are canonical already." **CIRCULAR DEPENDENCY.** |
| **NX module organization** | `atomizer/processors/geometry/nx_geometry.py` (Arsenal V3 §4.1 table) | `atomizer/nx/` with `solver.py`, `session_manager.py`, `journals/`, etc. (Migration §2, §3.7) | ⚠️ Arsenal treats NX as one processor among many. Migration treats NX as a special subsystem. Both exist in V2 tree. **SPLIT PERSONALITY.** |
| **Project Standard templates** | ❌ NOT MENTIONED in Arsenal V3 | `templates/project/` + `tools/init_project.py` + engine `--project-root` flag (Migration §2, §3.17, §5.5) | ⚠️ **Arsenal V3 is incomplete.** Migration added ~15 files and integration work that Arsenal never defined. |
### Gaps 🟡
| Gap | Arsenal Defines | Migration Implements | Missing Link |
|-----|----------------|---------------------|--------------|
| **processors/base.py** | Arsenal V3 §4.1: "Abstract base classes (NEW)" | Migration §2: `atomizer/processors/base.py` | ✅ Implied by Arsenal, implemented by Migration — no gap |
| **orchestrator/pipeline.py** | Arsenal V3 §4.1: "Main evaluation loop" (NEW) | Migration §2: `atomizer/orchestrator/pipeline.py` | ✅ Implied by Arsenal, implemented by Migration |
| **Processor categories** | Arsenal V3 lists: geometry/, meshing/, solvers/, postprocessing/, converters/, surrogates/ | Migration §2 has all 6 categories | ✅ Full alignment |
### Naming Consistency ✅
Folder names, module locations, and component boundaries are **consistent** where both documents define them. The contradictions are about *what's included*, not *what it's called*.
**Verdict for Section A: 🟡 MAJOR ISSUES**
- Core architecture alignment is strong (3-layer model, folder structure, component names)
- Contracts and NX placement are contradictory
- Project Standard is a migration-only addition not backed by Arsenal
---
## B. Project Standard Integration
**Question:** Does the migration plan properly implement the Project Standard's folder structure, entry points, KB architecture, and study lifecycle?
### What the Project Standard Defines
From `P-Atomizer-Project-Standard/05-FINAL-RECOMMENDATION.md`:
| Requirement | Specification |
|-------------|--------------|
| **Root structure** | 9 top-level items: README, CONTEXT, BREAKDOWN, DECISIONS, models/, kb/, studies/, playbooks/, deliverables/ |
| **Study numbering** | `{NN}_{slug}` format (01_doe_landscape, 02_tpe_refined, etc.) |
| **KB structure** | 4 folders: components/, materials/, fea/, dev/ |
| **Study lifecycle** | 3 phases: Setup (human) → Execute (machine) → Review (human+machine) |
| **Study internals** | 1_setup/, 2_iterations/, 3_results/, 3_insights/ |
| **Entry points** | README.md (single entry, not PROJECT+AGENT+STATUS split) |
### What Migration Plan V3.1 Implements
From Migration Plan §3.17, §5.5:
| Component | Migration Status | Location |
|-----------|-----------------|----------|
| **Template files** | ✅ ~14 .template files | `templates/project/` |
| **Scaffolding script** | ✅ NEW script | `tools/init_project.py` |
| **Engine integration** | ✅ `--project-root` flag | `atomizer/optimization/engine.py`, `atomizer/study/creator.py` |
| **AOM reference** | ✅ Pillar 2 cross-reference planned | `docs/AOM/02-Operations/` |
### Does Migration Match Project Standard?
| Project Standard Requirement | Migration Plan Implementation | Status |
|-------------------------------|------------------------------|--------|
| **9-item root structure** | Template includes PROJECT.md, AGENT.md, STATUS.md, DECISIONS.md, CHANGELOG.md, 00-context/, 01-models/, 02-kb/, 03-studies/, etc. | ⚠️ **MISMATCH:** Standard recommends **single README.md**, not PROJECT+AGENT+STATUS split. Migration uses OLD spec structure (§9 of spec superseded by §5 final recommendation). |
| **KB 4-folder structure** | Template has design/ (5 branches), analysis/ (7 subdirs), manufacturing/, domain/, introspection/ | 🔴 **CONTRADICTION:** Standard says 4 folders (components/, materials/, fea/, dev/). Template has **5 branches with 15+ subdirs** (the OLD rejected spec). |
| **Study lifecycle** | Engine integration supports `--project-root`, studies at `03-studies/` | ✅ MATCH |
| **Study numbering** | Standard: `{NN}_{slug}`. Engine: compatible | ✅ MATCH |
| **atomizer_spec.json** | Standard: per-study spec at study root. Engine: loads from study path | ✅ MATCH |
### Critical Finding 🔴
**The Migration Plan's Project Standard templates (§3.17 table) are based on the REJECTED SPECIFICATION (00-SPECIFICATION.md), NOT the APPROVED FINAL RECOMMENDATION (05-FINAL-RECOMMENDATION.md).**
Evidence:
- Final Recommendation says: "README.md (single entry point, replaces PROJECT+AGENT+STATUS)"
- Migration template table lists: "PROJECT.md.template, AGENT.md.template, STATUS.md.template"
- Final Recommendation says: "KB 4 folders (components/, materials/, fea/, dev/)"
- Migration template structure shows: "design/, analysis/ with 7 subdirs, manufacturing/, domain/, introspection/"
**The migration is implementing the WRONG standard.**
### Gaps 🟡
| Gap | Description |
|-----|-------------|
| **Template versioning** | Project Standard spec §9 calls for `.atomizer/template-version.json` to track which standard version a project uses. Migration lists this file but doesn't specify version tagging strategy. |
| **Migration script for existing projects** | Standard discusses migrating Hydrotech Beam (~15 min effort). Migration plan doesn't include a migration helper for V1 projects to Project Standard structure. |
**Verdict for Section B: 🔴 CRITICAL FAILURE**
- Migration implements the **rejected spec**, not the **approved recommendation**
- Templates must be completely rewritten before Phase 1
- This affects ~15 files in the migration inventory (§3.17)
---
## C. AOM Consistency
**Question:** Does the migration plan's documentation structure align with the AOM's 4-pillar organization? Would migration break AOM references?
### AOM Structure (from MAP.md)
| Pillar | Docs | Purpose |
|--------|------|---------|
| 01-Philosophy | 9 docs | Mission, architecture, component map, tool-agnostic design |
| 02-Operations | 15 docs | Study lifecycle, protocols, specs, integrations |
| 03-Developer | 10 docs | Codebase, API, extension points, processor dev |
| 04-Knowledge | 6 docs | LAC, KB architecture, failure patterns |
**Total:** 48 docs (40 main docs + Audit/ + Phase-4-LLM-Layer/ + Phase-5-Living-Protocol/)
### Migration Plan's AOM Deployment
From Migration §5:
```
docs/
├── AOM/
│ ├── README.md # MAP (renamed)
│ ├── 01-Philosophy/ # 9 docs
│ ├── 02-Operations/ # 15 docs
│ ├── 03-Developer/ # 10 docs
│ ├── 04-Knowledge/ # 6 docs
│ └── Audit/ # 2 docs
├── protocols/ # OP/SYS/EXT migrated from V1
├── QUICK_REF.md
└── guides/
```
**Alignment:****PERFECT 1:1 MAPPING**
The migration preserves the exact 4-pillar structure. MAP.md → README.md rename is correct (Gitea auto-renders README).
### Path Breakage Check
**Question:** Do any AOM docs reference V1 paths that the migration would break?
Sample from AOM docs reviewed:
- Component Map (§4) references `atomizer/contracts/`, `atomizer/processors/`, `atomizer/orchestrator/` → ✅ These paths exist in V2 structure
- Tool-Agnostic Architecture (§8) describes the 3-layer model → ✅ V2 implements this exactly
- Arsenal Reference would reference MCP servers → ✅ `mcp_servers/` placeholder exists in V2
**Potential Breaks:**
| AOM Doc | Likely References | V2 Status | Risk |
|---------|-------------------|-----------|------|
| 02-Operations/09-NX-Integration | May reference `optimization_engine/nx/` paths | ⚠️ V2 has `atomizer/nx/` — paths changed | 🟡 Needs path updates |
| 03-Developer/01-Codebase-Architecture | Module dependency map | ⚠️ All `optimization_engine.*``atomizer.*` | 🟡 Needs update |
| 03-Developer/03-API-Reference | Import statements | ⚠️ Import paths changed | 🟡 Needs update |
| 04-Knowledge/02-Knowledge-Base-Architecture | May reference old `knowledge_base/` | ✅ V2 has `atomizer/knowledge/` | ✅ Compatible if relative |
**Mitigation:** Migration Phase 0 includes AOM link conversion (§5.1: convert `[[wiki-links]]` → relative MD links). This MUST also update any code paths in AOM docs from `optimization_engine/``atomizer/`.
### AOM Cross-References to Project Standard
Migration §5.5.4 says: "AOM Pillar 2 (Operations) references the Project Standard spec"
**Gap:** The AOM MAP.md reviewed does NOT currently mention Project Standard. The only reference is in Related Projects section pointing to `P-Atomizer-Project-Standard/MAP`.
**Required action:** During AOM deployment (Phase 0), add Project Standard guide to `02-Operations/` (e.g., `02-Operations/16-Project-Organization-Standard.md` or update existing docs to reference templates/).
**Verdict for Section C: 🟢 OK with Minor Updates**
- AOM pillar structure perfectly preserved
- Path updates needed in 35 AOM docs (tracked in Phase 0)
- Project Standard cross-reference is a forward commitment, not a current contradiction
---
## D. Contradictions Table
| Doc1 Says | Doc2 Says | Nature | Severity |
|-----------|-----------|--------|----------|
| **Arsenal V3 §2.2:** "Contract dataclasses are canonical in `ATOMIZER-TOOL-AGNOSTIC-ARCHITECTURE.md` Section 2.1. Do not duplicate." | **Tool-Agnostic Architecture (AOM):** Contracts are described as NEW design pattern. Section 2.1 lists what they should contain but doesn't provide Pydantic/dataclass implementations. | Contracts don't exist yet, but Arsenal references them as canonical source. | 🔴 CRITICAL |
| **Arsenal V3 §2.2:** "All contract details reference Section 2.1 above" (implying contracts are defined) | **Migration V3.1 §2, Phase 1:** "Create contract stubs (docstrings only, no implementation). DEFERRED to post-migration." | Arsenal says contracts exist. Migration says create stubs. Circular dependency. | 🔴 CRITICAL |
| **Arsenal V3 §4.1:** NX listed as `atomizer/processors/geometry/nx_geometry.py` | **Migration §2 + §3.7:** NX consolidated at `atomizer/nx/` with `solver.py`, `session_manager.py`, `journals/` | Is NX a single geometry processor or a subsystem? | 🟡 MAJOR |
| **Arsenal V3 Sprint 3 §5.3:** "Topology Engineer (new)" activated Sprint 3 | **Webster Review §4:** "Topology is post-MVP future (Arsenal V3 §3.1). Role activation conflicts with scope boundary." | Topology Engineer exists in agent roster but topology is explicitly out of scope. | 🟡 MAJOR |
| **Project Standard Final Recommendation:** "README.md (single entry point)" | **Migration §3.17 template table:** "PROJECT.md.template + AGENT.md.template + STATUS.md.template" | Migration implements rejected spec, not approved recommendation. | 🔴 CRITICAL |
| **Project Standard Final Recommendation:** "4-folder KB: components/, materials/, fea/, dev/" | **Migration §3.17 template structure:** "design/ → analysis/ (7 subdirs) → manufacturing/ → domain/ → introspection/" | Migration uses OLD 5-branch spec rejected by final recommendation. | 🔴 CRITICAL |
| **Arsenal V3 §3.1:** OpenFOAM is "Expansion Stack (Sprints 4-6)" | **Arsenal V3 §5.4:** Sprint 4 delivers OpenFOAM lane | ✅ Self-consistent — expansion starts Sprint 4 | 🟢 OK |
| **Arsenal V3 §4.1:** `launch_dashboard.py` listed in root | **Migration §2:** `dashboard/launch_dashboard.py` | Path moved — minor | 🟢 OK |
**Summary:** 3 critical contradictions, 2 major contradictions, 0 architecture-breaking contradictions (the core 3-layer model is fully aligned).
---
## E. Gaps Table
### Defined in Source, Missing from Migration
| Defined In | What's Defined | Missing From | Impact |
|------------|---------------|--------------|--------|
| Arsenal V3 §6 (Agent Roster) | 19 agents: Manager, Technical Lead, Optimizer, NX Expert, Post-Processor, Reporter, Study Builder, Auditor, Researcher, Developer, KB, IT, **Meshing Engineer, CFD Specialist, Coupling Engineer, Topology Engineer, MDO Architect, MCP Engineer**, Secretary | Migration Plan (repo structure) | 🟢 OK — agents are runtime entities, not repo structure. Migration doesn't need to define agents. |
| Arsenal V3 §8 (MCP Servers) | Top 4 MCP servers: MCP-CalculiX, MCP-Gmsh, MCP-Build123d, MCP-pyNastran | Migration §2 | 🟡 **GAP:** Migration has `mcp_servers/` placeholder but no implementation plan or file inventory. Should list README.md at minimum. |
| Tool-Agnostic Architecture (AOM) | Abstract base classes: `SolverProcessor`, `GeometryProcessor`, `MeshProcessor` with specific method signatures | Migration §2 | ✅ Migration says "Create `atomizer/processors/base.py`" — covered. |
| Arsenal V3 §2.3 (AOM Placement) | "All implementation mapping lands inside V2 repo paths under atomizer/contracts/, processors/, orchestrator/, optimization/, mcp_servers/" | Migration Plan V2 tree | ✅ V2 tree includes all 5 paths. Full alignment. |
| Project Standard spec §3 (Study Internals) | Study folder structure: `1_setup/`, `2_iterations/`, `3_results/`, `3_insights/` | Migration Plan, Arsenal V3 | 🟡 **GAP:** Neither Arsenal nor Migration describes study internals structure. Project Standard defines it, but no one implements engine support for `1_setup/model/` copying or `3_insights/` auto-generation. |
### Defined in Migration, Not in Source
| Migration Defines | Source Coverage | Gap Type |
|------------------|----------------|----------|
| **Project Standard templates (~15 files)** | ❌ Not in Arsenal V3. Not in AOM (yet). In separate spec doc only. | 🔴 **CRITICAL:** Arsenal V3 is supposed to be the canonical architecture. It's incomplete. |
| **`atomizer/_compat.py` import shim** | ❌ Not in Arsenal V3 | 🟢 OK — migration-specific transition tool, not architecture |
| **`tools/init_project.py` scaffolding script** | ❌ Not in Arsenal V3 | 🔴 **MAJOR:** If Project Standard is first-class (per Migration §5.5), Arsenal should define this. |
| **`--project-root` engine flag** | ❌ Not in Arsenal V3 | 🔴 **MAJOR:** Needed for Project Standard study paths. Not in architecture spec. |
| **Phase-by-phase rollback procedures (Migration §16)** | ❌ Not in Arsenal V3 or Webster Review | 🟢 OK — operational concern, not architecture |
| **Pre-commit hooks config (Migration §13)** | ❌ Not in Arsenal V3 | 🟢 OK — repo hygiene, not architecture |
**Summary:** 5 major gaps. The biggest: Arsenal V3 doesn't define Project Standard integration, but Migration treats it as first-class architecture.
---
## F. Naming & Path Consistency
**Question:** Do all documents use consistent naming for modules, folders, and components?
### Folder/Module Names ✅
| Component | Arsenal V3 | Migration V3.1 | AOM (Component Map) | Consistent? |
|-----------|------------|---------------|---------------------|-------------|
| Contracts | `atomizer/contracts/` | `atomizer/contracts/` | `atomizer/contracts/` | ✅ |
| Processors | `atomizer/processors/` | `atomizer/processors/` | `atomizer/processors/` | ✅ |
| Orchestrator | `atomizer/orchestrator/` | `atomizer/orchestrator/` | `atomizer/orchestrator/` | ✅ |
| Optimization | `atomizer/optimization/` | `atomizer/optimization/` | `atomizer/optimization/` | ✅ |
| Extractors | `atomizer/extractors/` | `atomizer/extractors/` | `atomizer/extractors/` | ✅ |
| Spec/Config | `atomizer/spec/` | `atomizer/spec/` | `atomizer/spec/` | ✅ |
| Knowledge | `atomizer/knowledge/` | `atomizer/knowledge/` | `atomizer/knowledge/` | ✅ |
| Dashboard | `dashboard/` | `dashboard/` | `dashboard/` | ✅ |
| MCP Servers | `mcp_servers/` | `mcp_servers/` | `mcp_servers/` | ✅ |
**Naming is 100% consistent** where all documents define the same component.
### Module Renaming Consistency ✅
| V1 Name | V2 Name (Arsenal) | V2 Name (Migration) | Consistent? |
|---------|------------------|---------------------|-------------|
| `optimization_engine/core/runner.py` | `atomizer/optimization/engine.py` | `atomizer/optimization/engine.py` | ✅ |
| `optimization_engine/extractors/extractor_library.py` | `atomizer/extractors/registry.py` | `atomizer/extractors/registry.py` | ✅ |
| `optimization_engine/config/` | `atomizer/spec/` | `atomizer/spec/` | ✅ |
### Component Terminology ✅
| Concept | Arsenal V3 | Migration V3.1 | AOM | Consistent? |
|---------|------------|---------------|-----|-------------|
| Universal data types | "Contracts" | "Contracts" | "Data Contracts" | ✅ |
| Tool-specific translators | "Processors" | "Processors" | "Processors" | ✅ |
| Pipeline controller | "Orchestrator" | "Orchestrator" | "Orchestrator" | ✅ |
| Study configuration | "AtomizerSpec v3.0" | "AtomizerSpec v3.0" | "AtomizerSpec" | ✅ |
| Optimization algorithms | "Optuna/pymoo/OpenMDAO" | "Optuna/pymoo" | "Optuna/pymoo" | ✅ |
### Inconsistencies 🟡
| Inconsistency | Where | Impact |
|--------------|-------|--------|
| **NX placement** | Arsenal: `processors/geometry/nx_geometry.py`. Migration: `atomizer/nx/` (full module) + `processors/geometry/nx_geometry.py` (also listed in tree §2). | 🟡 MAJOR — both exist in V2 tree, unclear which is canonical |
| **Surrogates location** | Arsenal: `processors/surrogates/` (9 files). Migration also has `optimization/surrogates/` (GNN). Both exist. | 🟡 MINOR — Tech Lead noted this in V3 review. Need docstring clarification or consolidation. |
**Verdict for Section F: 🟢 GOOD**
- 99% naming consistency across all documents
- NX placement ambiguity is the only significant issue (same as structural alignment finding)
---
## Recommendations (Prioritized)
### 🔴 CRITICAL (Blockers — Must Fix Before Phase 1)
| # | Recommendation | Affected Phases | Effort |
|---|---------------|----------------|--------|
| C1 | **Resolve contracts chicken-and-egg:** Write contract stub definitions in Tool-Agnostic Architecture doc (AOM Pillar 1) NOW, before migration starts. Provide at minimum: class signatures, field lists, docstrings. OR accept contracts are post-migration and remove them from Phase 1 scope entirely. | Phase 0, Phase 1 | 🕐 4 hours (write stubs) |
| C2 | **Rewrite Project Standard templates:** The current template list (Migration §3.17) implements the REJECTED spec. Rewrite all 14 templates to match the APPROVED Final Recommendation: single README.md (not PROJECT+AGENT+STATUS), 4-folder KB (not 5-branch). | Phase 1 | 🕐🕐 8 hours (rewrite 14 templates) |
| C3 | **Backport Project Standard to Arsenal V3:** Update Arsenal V3 Final to include Project Standard as a first-class component. Add: templates/ folder, init script, --project-root flag, study path conventions. Arsenal must be the complete architecture source. | Pre-Phase 0 | 🕐🕐 6 hours (update Arsenal doc) |
### 🟡 MAJOR (High Priority — Resolve in Phase 0 or Phase 1)
| # | Recommendation | Affected Phases | Effort |
|---|---------------|----------------|--------|
| M1 | **Consolidate NX strategy:** CEO decision required. Is NX (a) a processor like any other (`processors/geometry/nx_geometry.py` only), OR (b) a special legacy subsystem (`atomizer/nx/` with all NX code including journals/). Remove one or clearly document why both exist. | Phase 1 | 🕐 2 hours (decide + update docs) |
| M2 | **Update AOM code paths:** During Phase 0 AOM deployment, update 35 AOM docs that reference `optimization_engine/` paths → `atomizer/`. Specifically: 02-Operations/09-NX-Integration, 03-Developer/01-Codebase-Architecture, 03-Developer/03-API-Reference. | Phase 0 | 🕐 2 hours |
| M3 | **Add Project Standard reference to AOM:** Create `docs/AOM/02-Operations/16-Project-Organization-Standard.md` explaining the template system, init script, and --project-root integration. Cross-reference from Study Lifecycle doc. | Phase 0 | 🕐 3 hours |
| M4 | **Clarify study internals implementation:** Project Standard defines `1_setup/`, `2_iterations/`, `3_results/`, `3_insights/` study structure. Migration assumes engine supports this but doesn't specify implementation. Verify `atomizer/study/creator.py` creates this structure, or add to Phase 1 scope. | Phase 1 | 🕐 4 hours (code + verify) |
| M5 | **Document MCP server scope:** Arsenal V3 says top 4 MCP servers (CalculiX, Gmsh, Build123d, pyNastran) are MVP. Migration has `mcp_servers/` placeholder. Add `mcp_servers/README.md` with implementation roadmap, or explicitly defer to post-MVP. | Phase 0 or Phase 2 | 🕐 1 hour (README) |
### 🟢 MINOR (Nice to Have — Address During Migration)
| # | Recommendation | Effort |
|---|---------------|--------|
| N1 | **Topology Engineer activation:** Arsenal activates Topology Engineer in Sprint 3, but topology is post-MVP. Either defer activation or scope role to "benchmark prep only" as Webster suggested. | 🕐 30 min (update agent roster) |
| N2 | **Surrogates consolidation:** `processors/surrogates/` and `optimization/surrogates/` both exist. Add docstring to each `__init__.py` explaining the distinction (processors = classical ML, optimization = GNN). Or consolidate if redundant. | 🕐 1 hour |
| N3 | **Template versioning strategy:** `.atomizer/template-version.json` exists in template list but versioning scheme is undefined. Define format: `{"standard_version": "1.0.0", "deployed_date": "2026-02-23"}`. | 🕐 30 min |
---
## Risk Assessment
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|-----------|
| **Contracts undefined causes Phase 1 failure** | HIGH (if not fixed) | CRITICAL | C1: Write stubs NOW or defer contracts |
| **Wrong Project Standard templates deployed** | HIGH (templates are wrong) | CRITICAL | C2: Rewrite templates before Phase 1 |
| **NX code fragmentation** | MEDIUM | MAJOR | M1: Consolidate before Phase 1 |
| **AOM paths broken after migration** | MEDIUM | MAJOR | M2: Update during Phase 0 |
| **Study structure assumptions break** | MEDIUM | MAJOR | M4: Verify engine implementation |
| **Arsenal V3 incomplete as architecture source** | MEDIUM | MAJOR | C3: Backport Project Standard |
---
## Verification Checklist (for CEO/Manager)
Before approving Phase 0 start:
- [ ] **C1 resolved:** Contracts either (a) have stub definitions in AOM, OR (b) are removed from Phase 1 scope
- [ ] **C2 resolved:** Project Standard templates rewritten to match Final Recommendation (README.md single entry, 4-folder KB)
- [ ] **C3 resolved:** Arsenal V3 updated to include Project Standard as first-class component
- [ ] **M1 resolved:** NX consolidation strategy decided and documented
- [ ] **M2 tracked:** AOM path updates added to Phase 0 checklist
- [ ] **M3 tracked:** Project Standard AOM doc added to Phase 0 deliverables
---
## Appendices
### Appendix A: Document Versions Reviewed
| Document | Version/Date | Location |
|----------|-------------|----------|
| Arsenal V3 Webster Review | 2026-02-23 | `Atomizer-AtomasteAI/Development/ARSENAL-V3-WEBSTER-REVIEW.md` |
| Arsenal V3 Final | 2026-02-23 | `Atomizer-AtomasteAI/Development/ARSENAL-V3-FINAL.md` |
| Project Standard Final Recommendation | 2026-02-19 | `P-Atomizer-Project-Standard/05-FINAL-RECOMMENDATION.md` |
| Migration Plan V3.1 | 2026-02-23 (V3.1 amendment) | `Atomizer-AtomasteAI/Development/ATOMIZER-V2-MIGRATION-MASTERPLAN-V3.md` |
| AOM MAP | 2026-02-21 | `P-Atomizer-Operating-Manual/MAP - Atomizer Operating Manual.md` |
| AOM Component Map | 2026-02-22 | `P-Atomizer-Operating-Manual/01-Philosophy/04-Component-Map.md` |
| AOM Tool-Agnostic Architecture | 2026-02-22 | `P-Atomizer-Operating-Manual/01-Philosophy/08-Tool-Agnostic-Architecture.md` |
### Appendix B: Files Counted
- **Arsenal V3:** 1 architecture doc, 6 sprints, 19 agent definitions, 4 MCP servers, 3 architectural layers
- **Migration Plan V3.1:** 8 phases, 163 Python files, 48 AOM docs, 15+ Project Standard templates, 6 verification checklists
- **Project Standard:** 9 top-level items, 14 template files, 4 KB folders, 3 lifecycle phases
- **AOM:** 4 pillars, 48 docs (40 core + 8 auxiliary), 19 agent architecture
### Appendix C: Methodology
1. **Read all 5 source document sets in full** (Arsenal Webster Review, Arsenal Final, Project Standard Final Rec, Migration V3.1, AOM MAP + 2 key architecture docs)
2. **Extract structural definitions** from each (folder paths, component names, module locations)
3. **Cross-reference systematically** across 6 audit dimensions (A-F)
4. **Tag contradictions** by severity (🔴 critical if blocks migration, 🟡 major if causes confusion, 🟢 minor if cosmetic)
5. **Trace gaps** bidirectionally (defined in A but missing from B, AND defined in B but missing from A)
6. **Document every finding** with section references (e.g., "Arsenal V3 §2.2 says X, Migration §3.17 says Y")
7. **Prioritize recommendations** (Critical → Major → Minor)
---
**TASK:** Cross-document coherence audit
**STATUS:** complete
**RESULT:** 3 critical contradictions found (contracts undefined, wrong Project Standard templates, Arsenal incomplete). 5 major gaps identified. Migration can proceed after resolving C1-C3.
**CONFIDENCE:** high
**NOTES:**
- Arsenal V3 and Tool-Agnostic Architecture are directionally sound but have implementation gaps (contracts are described but not defined, Project Standard not included)
- Migration Plan V3.1 is executable AFTER correcting the Project Standard template error (currently implements rejected spec)
- The core 3-layer architecture (contracts/processors/orchestrator) is perfectly aligned across all documents — this is the strongest finding
- NX consolidation ambiguity is solvable with a CEO decision (not a documentation error, just an unstated choice)
- Recommend 1-2 day hold before Phase 0 start to resolve C1-C3
---
*Audit completed by Auditor (Subagent) on 2026-02-23*
*All findings traceable to source documents with section references*
*Severity ratings follow Atomizer audit protocol (🔴🟡🟢)*

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# V2 Migration Pre-Flight Fixes — Critical Issues Resolved
**Date:** 2026-02-23
**Auditor:** Auditor (Subagent)
**Task:** Fix 3 critical issues found in V2 Migration Coherence Audit
**Status:** ✅ Complete
---
## Summary
All 3 critical pre-flight issues have been resolved. The migration plan is now aligned with approved specifications and can proceed to Phase 0.
---
## 🔧 FIX C1: Project Standard Templates — CORRECTED
**Problem:** Migration Plan V3.1 Section 3.17 listed Project Standard templates based on the REJECTED specification (00-SPECIFICATION.md) instead of the APPROVED Final Recommendation (05-FINAL-RECOMMENDATION.md).
**Specific issues:**
- Used PROJECT.md + AGENT.md + STATUS.md (rejected 3-file split)
- Used 00-context/ folder structure (rejected)
- Used 5-branch KB taxonomy with 15+ subfolders (rejected)
- Used numbered top-level folders like 01-models/, 02-kb/ (rejected)
**Fix applied:**
✅ Updated Section 3.17 to APPROVED structure:
- Single README.md entry point (replaces PROJECT+AGENT+STATUS)
- CONTEXT.md, BREAKDOWN.md, DECISIONS.md at root
- 4-folder KB: components/, materials/, fea/, dev/
- Semantic folder names (models/, kb/, studies/, playbooks/, deliverables/, images/)
- ~15 template files → ~10 template files (correct count)
✅ Updated Section 5.5 template tree visualization
✅ Updated Phase 1 verification checklist to check for correct structure
✅ Added auditor note documenting the correction
**Files modified:**
- `/home/papa/obsidian-vault/2-Projects/Atomizer-AtomasteAI/Development/ATOMIZER-V2-MIGRATION-MASTERPLAN-V3.md`
- Section 2 (repo structure tree)
- Section 3.17 (template file disposition)
- Section 5.5 (template folder visualization)
- Section 6.1 (Phase 1 verification checklist)
- Header: V3.1 → V3.2
**Source authority:** `P-Atomizer-Project-Standard/05-FINAL-RECOMMENDATION.md` (APPROVED)
---
## 🔧 FIX C2: Contracts Deferral — RESOLVED
**Problem:** Contracts were marked "DEFERRED to post-migration" but still referenced as P0 stubs. Arsenal V3 references contracts as canonical but Tool-Agnostic Architecture doc doesn't provide implementations. Circular dependency.
**CEO-aligned approach:** Port working code first, abstract later.
**Fix applied:**
✅ Changed contracts from P0 (stubs) to P2 (post-migration abstraction)
✅ Removed "create stubs with docstrings at P0" language
✅ Changed to "empty __init__.py placeholder at P0" only
✅ Added Tech Lead + Auditor note:
> "Contracts deferred per Tech Lead recommendation + Auditor finding. V2 ports working code first; contracts abstraction layer added in P2 once the codebase is stable."
✅ Updated Phase 1 task 1.1 description
✅ Updated V3 amendment log entry V3-01
✅ Updated repo structure tree comments
**Files modified:**
- `/home/papa/obsidian-vault/2-Projects/Atomizer-AtomasteAI/Development/ATOMIZER-V2-MIGRATION-MASTERPLAN-V3.md`
- Section 2 (atomizer/contracts/ tree)
- Section 6 Phase 1 task 1.1
- Section 17 amendment log V3-01
- Header: revision history
**Rationale:** V1 has no unified data model. Introducing contracts during migration adds unnecessary risk. Deferred to P2 when V2 codebase is stable and patterns are clear.
---
## 🔧 FIX C3: Arsenal V3 Project Standard Integration — ADDED
**Problem:** Arsenal V3 Final is the canonical architecture source but didn't mention the Project Standard at all. Migration Plan added ~15 files and engine integration work that Arsenal never defined.
**Gap:** Arsenal incomplete as architecture source.
**Fix applied:**
✅ Added new Section 4.4 to Arsenal V3 Final: "Project Standard (First-Class Component)"
**Section 4.4 includes:**
- Purpose and rationale (why it's first-class architecture)
- 9-item root structure definition
- 4-folder KB architecture
- Study organization and naming convention
- Study internals (1_setup/, 2_iterations/, 3_results/, 3_insights/)
- V2 repository integration:
- templates/project/ location
- tools/init_project.py scaffolding script
- --project-root engine flag
- atomizer init CLI workflow
- Migration priority: P1
- Cross-reference to Migration Plan V3.2 Section 3.17 and 5.5
**Files modified:**
- `/home/papa/obsidian-vault/2-Projects/Atomizer-AtomasteAI/Development/ARSENAL-V3-FINAL.md`
- Added Section 4.4 (after Contract Files, before Sprint Plan)
**Impact:** Arsenal V3 is now the complete architecture source. Project Standard is documented as a first-class component alongside contracts/processors/orchestrator.
---
## Verification
### Pre-Fix State
- ❌ Migration templates based on rejected spec
- ❌ Contracts P0 stubs conflict with "deferred" status
- ❌ Arsenal V3 missing Project Standard entirely
### Post-Fix State
- ✅ Migration templates match APPROVED Final Recommendation
- ✅ Contracts cleanly deferred to P2 with rationale
- ✅ Arsenal V3 documents Project Standard as first-class architecture
- ✅ All documents internally consistent
- ✅ Migration Plan version bumped to V3.2
- ✅ All changes marked with 🔧 FIX emoji for traceability
---
## Phase 0 Pre-Flight Checklist (Updated)
Before starting Phase 0:
- [x] **C1 resolved:** Project Standard templates rewritten to match Final Recommendation
- [x] **C2 resolved:** Contracts deferred to P2 with Tech Lead + Auditor note
- [x] **C3 resolved:** Arsenal V3 updated to include Project Standard as first-class component
- [x] **Verification checklists updated:** Phase 1 checklist validates correct template structure
- [x] **Version bumped:** Migration Plan V3.1 → V3.2
- [x] **Cross-references updated:** Migration references Arsenal §4.4, Arsenal references Migration §3.17 + §5.5
**Status:** 🟢 CLEARED FOR PHASE 0
---
## Files Modified Summary
| File | Sections Modified | Change Type |
|------|------------------|-------------|
| `ATOMIZER-V2-MIGRATION-MASTERPLAN-V3.md` | Header (version), §2 (tree), §3.17 (templates), §5.5 (visualization), §6.1 (verification), §17 (amendments) | 🔧 Corrections + version bump |
| `ARSENAL-V3-FINAL.md` | New §4.4 (Project Standard) | Architecture addition |
---
## Confidence Assessment
**CONFIDENCE: HIGH**
**Rationale:**
1. All fixes directly address audit findings C1-C3 with source document references
2. Changes are surgical — no scope creep, no unrelated edits
3. Every fix is traceable (🔧 emoji marking)
4. Source authority clear: Final Recommendation (approved), Tech Lead review, Auditor audit
5. Cross-references bidirectional (Arsenal ↔ Migration Plan)
6. Verification checklists updated to prevent regression
7. Version bump documented in revision history
**No unresolved issues.** Migration is ready for Phase 0 execution.
---
## Next Actions (For Manager/CEO)
1. **Review this fix summary** — confirm all changes align with CEO intent
2. **Approve Phase 0 start** — migration is now pre-flight cleared
3. **Monitor Phase 1 verification** — ensure correct templates are deployed (automated checklist in §6.1)
---
*Fixes completed by Auditor (Subagent) on 2026-02-23*
*All changes marked with 🔧 FIX emoji for traceability*
*Source documents: Migration Plan V3.2, Arsenal V3 Final, Project Standard Final Recommendation*

View File

@@ -24,7 +24,7 @@ CALLER=my-agent-name bash "$TB" update TASK-001 --status review --note "Draft po
# Kanban summary (counts per column)
bash "$TB" summary
# Kanban snapshot (markdown for Discord)
# Kanban snapshot (markdown)
bash "$TB" snapshot
```
@@ -61,7 +61,7 @@ backlog → todo → in-progress → review → done
On every session start:
1. Check your tasks: `CALLER=<you> bash "$TB" list --agent <you>`
2. If you have `todo` tasks: update to `in-progress` and start working
3. When work is done: update to `review` and post deliverable to the target Discord channel
3. When work is done: update to `review` and post/deliver the result to the target channel using current routing rules
4. Append progress to `shared/project_log.md`
## Important

View File

@@ -1,9 +1,9 @@
## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager or another specialist through the active OpenClaw messaging/orchestration path.
These are high-priority assignments. See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the current coordination model.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat incoming channel messages as real user/team messages that need a real response
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — Study Builder Workspace
@@ -42,14 +42,12 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
- Submit code to Auditor for review
- Report status to Manager
- **Post updates to project channels** — keep the team informed
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
## Agent Directory
@@ -79,7 +77,19 @@ CALLER=study-builder bash /home/papa/atomizer/workspaces/shared/skills/taskboard
When working on a task:
- Update status to `in-progress`: `CALLER=study-builder bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=study-builder bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

View File

@@ -1,22 +1,15 @@
## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Delegation (use the delegate skill)
To assign a task to another agent:
```bash
bash /home/papa/atomizer/workspaces/shared/skills/delegate/delegate.sh <agent> "<instruction>" [--channel <id>] [--deliver|--no-deliver]
```
### Delegation (native method)
Use the built-in tools:
- `sessions_spawn` — delegate substantial work to another specialist
- `sessions_send` — clarify or steer an active session
- `subagents(action=list)` — check status only when needed
Available agents: `manager`, `secretary`, `auditor`, `optimizer`, `study-builder`, `nx-expert`, `webster`
Examples:
```bash
bash /home/papa/atomizer/workspaces/shared/skills/delegate/delegate.sh webster "Find material properties for Invar 36"
bash /home/papa/atomizer/workspaces/shared/skills/delegate/delegate.sh nx-expert "Run mesh convergence on M2 model" --deliver
```
Tasks are **asynchronous** — the target agent responds in Discord.
See `skills/delegate/SKILL.md` for full documentation.
Do **not** rely on legacy `delegate.sh` / Discord-bridge instructions for current work.
See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the full agent directory.
### Status Reporting
@@ -24,9 +17,9 @@ When you complete tasks or have status updates, **append** to `shared/project_lo
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Treat incoming channel messages as real user/team messages that need a real response
- When delegating, be specific about what you need
- Post results back in the originating Discord channel
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — Technical Lead Workspace
@@ -52,14 +45,12 @@ When you complete tasks or have status updates, **append** to `shared/project_lo
- For R&D deep-dives, Antoine may engage directly
- Document all technical decisions with reasoning
- **Post summaries to project channels** — don't just write to disk
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
## Technical Standards
@@ -93,7 +84,19 @@ CALLER=technical-lead bash /home/papa/atomizer/workspaces/shared/skills/taskboar
When working on a task:
- Update status to `in-progress`: `CALLER=technical-lead bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=technical-lead bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

File diff suppressed because it is too large Load Diff

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@@ -1,9 +1,9 @@
## Cluster Communication
You are part of the Atomizer Agent Cluster. Each agent runs as an independent process.
You are part of the Atomizer Agent Cluster and operate through OpenClaw-native orchestration.
### Receiving Tasks (Hooks Protocol)
You may receive tasks delegated from the Manager or Tech Lead via the Hooks API.
**These are high-priority assignments.** See `/home/papa/atomizer/workspaces/shared/HOOKS-PROTOCOL.md` for full details.
### Receiving Tasks
You may receive tasks delegated from the Manager or another specialist through the active OpenClaw messaging/orchestration path.
These are high-priority assignments. See `/home/papa/atomizer/workspaces/shared/CLUSTER.md` for the current coordination model.
### Status Reporting
After completing tasks, **append** a status line to `/home/papa/atomizer/workspaces/shared/project_log.md`:
@@ -14,8 +14,8 @@ Do NOT edit `PROJECT_STATUS.md` directly — only the Manager does that.
### Rules
- Read `shared/CLUSTER.md` to know who does what
- Always respond to Discord messages (NEVER reply NO_REPLY to Discord)
- Post results back in the originating Discord channel
- Treat incoming channel messages as real user/team messages that need a real response
- Route visible delivery through the active channel/message path, not Discord-specific assumptions
# AGENTS.md — Webster
@@ -38,14 +38,12 @@ You are the research specialist at Atomizer Engineering Co. Your job is to find,
## Communication
### Discord Messages (via Bridge)
Messages from Discord arrive formatted as: `[Discord #channel] username: message`
- These are REAL messages from team members or users — respond to them conversationally
- Treat them exactly like Slack messages
### Channel Messages
Messages from the active chat/channel path are real user or team messages and should be handled conversationally.
- If someone says hello, greet them back. If they ask a question, answer it.
- Do NOT treat Discord messages as heartbeats or system events
- Your reply will be routed back to the Discord channel automatically
- **⚠️ CRITICAL: NEVER reply NO_REPLY or HEARTBEAT_OK to Discord messages. Discord messages are ALWAYS real conversations that need a response.**
- Do NOT treat channel messages as heartbeats or system events
- Reply normally through the active messaging path
- **⚠️ CRITICAL: Do not dismiss real channel messages as heartbeats or noise. If someone is talking to you, answer them.**
### 📋 Taskboard — Task Awareness
@@ -58,7 +56,19 @@ CALLER=webster bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskb
When working on a task:
- Update status to `in-progress`: `CALLER=webster bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status in-progress --note "Started work"`
- When done, set to `review`: `CALLER=webster bash /home/papa/atomizer/workspaces/shared/skills/taskboard/taskboard.sh update TASK-XXX --status review --note "Deliverable posted to #channel"`
- Post deliverables to the Discord channel specified in the task
- Post deliverables through the active channel specified in the task/workflow
- Always append progress to `shared/project_log.md`
See `shared/skills/taskboard/SKILL.md` for full documentation.
## Channel Posting Rules (MANDATORY — READ EVERY SESSION)
Follow current shared channel-routing rules and Manager direction for visible delivery
**CRITICAL RULES:**
1. You may see other agents' visible updates — use them for context
2. Do not jump into another agent's conversation unless you were directly asked or routed in
3. You MUST NOT post social chatter ("great work", "looking forward to...", "👍", acknowledgments)
4. You ONLY post: deliverables, task status, concerns/blockers, or direct answers to Manager/Antoine
5. Before any visible post, ask: "Does Antoine need to see this?" — if not, prefer logging/reporting internally
6. Every unnecessary post wastes CEO's API budget — silence is the default

View File

@@ -1,23 +1,7 @@
# IDENTITY.md - Who Am I?
_Fill this in during your first conversation. Make it yours._
- **Name:**
_(pick something you like)_
- **Creature:**
_(AI? robot? familiar? ghost in the machine? something weirder?)_
- **Vibe:**
_(how do you come across? sharp? warm? chaotic? calm?)_
- **Emoji:**
_(your signature — pick one that feels right)_
- **Name:** Webster
- **Creature:** AI Research Specialist
- **Vibe:** Thorough, precise, curious.
- **Emoji:** 🔬
- **Avatar:**
_(workspace-relative path, http(s) URL, or data URI)_
---
This isn't just metadata. It's the start of figuring out who you are.
Notes:
- Save this file at the workspace root as `IDENTITY.md`.
- For avatars, use a workspace-relative path like `avatars/openclaw.png`.

View File

@@ -0,0 +1,72 @@
# GigaBIT M1 — Reference Frame Stiffness Characterization
**Client:** StarSpec
**Project:** P04-GigaBIT-M1
**Created:** 2026-03-04
**Status:** Active — Model Setup
---
## Objective
Determine minimum stiffness requirements for StarSpec's reference frame at 5 mirror support interface points. Quantify WFE sensitivity to frame compliance so StarSpec can design their frame to spec.
## Approach
**Hybrid B+D method** (war-room validated):
1. **Method D (Sensitivity):** Prescribed unit displacements at each unique interface point, extract Zernike WFE sensitivity coefficients (nm/μm per DOF per point)
2. **Method B (Stiffness Sweep):** CBUSH spring-to-ground at 5 interface points, sweep K to find knee points
3. **Robustness:** One-soft-point, combined compliance, correlated displacement tests
## Key Numbers
| Metric | Value |
|--------|-------|
| Baseline WFE @ 40° | ~7.0 nm RMS (J5+ filtered) |
| Baseline WFE @ 60° | ~13.0 nm RMS (J5+ filtered) |
| ΔWFE budget (frame) | ≤ 1.0 nm RMS |
| System allocation | ≤ 22 nm RMS (contract) |
| Mechanical target | < 14 nm RMS |
| Total runs | ~42 |
## Interface Points (5 total)
| Label | Type | Symmetry |
|-------|------|----------|
| V_top | Vertical support | Unique (on Y-Z symmetry axis) |
| V_left | Vertical support | = V_right mirrored |
| V_right | Vertical support | = V_left mirrored |
| L_left | Lateral support | = L_right mirrored |
| L_right | Lateral support | = L_left mirrored |
**Unique points to test:** 3 (V_top, V_side, L_side)
## Model
- **Solver:** NX Nastran SOL 101 (linear static)
- **Coordinate system:** Global (Z = optical axis)
- **Zernike extractor:** Annular OPD, 50 modes, J5+ filtered RMS
- **Reference subcase:** 20° elevation
- **Test subcases:** 40° and 60° elevation
- **Inner radius:** 135.75 mm (central hole)
- **Outer radius:** 500.0 mm
## Project Structure
```
gigabit-m1-frame-stiffness/
├── README.md ← You are here
├── models/ # NX model files (drop .prt and .sim here)
├── studies/
│ ├── 01_sensitivity_method_d/ # Unit displacement sensitivity (9+3 runs)
│ ├── 02_stiffness_sweep_method_b/ # K sweep campaigns (20 runs)
│ └── 03_robustness/ # One-soft-point, combined, correlated (8 runs)
├── deliverables/ # StarSpec requirement document (Rev A)
├── kb/ # Knowledge base notes
└── images/ # Plots, screenshots
```
## PKM Reference
Full documentation: `obsidian-vault/2-Projects/P04-GigaBIT-M1/03-studies/Reference-Frame-Stiffness-Characterization/`

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@@ -0,0 +1,28 @@
# Study 01 — Sensitivity Map (Method D)
**Type:** Parametric — Prescribed Unit Displacements
**Runs:** 12 (9 unique @ 60° + 1 baseline + 2 spot checks @ 40°)
**Model:** Enforced displacement BCs with expression control
## What This Does
Applies +1 μm displacement at each unique interface point in each global DOF direction, one at a time. Measures ΔWFE to build a sensitivity matrix: **nm WFE per μm displacement per DOF per point.**
This is the PRIMARY deliverable for StarSpec.
## .sim Setup Required
1. Create 9 NX expressions: `dV1_X, dV1_Y, dV1_Z, dV2_X, dV2_Y, dV2_Z, dL1_X, dL1_Y, dL1_Z` (all default = 0)
2. Apply enforced displacement BCs on all 5 support nodes referencing these expressions
3. Symmetry ties: V_right X = dV2_X, L_right X = dL1_X; Y/Z same sign as left counterpart
4. Gravity load at target elevation (60° or 40°)
## Extractor
Zernike annular OPD: 50 modes, J5+ filtered, inner_radius = 135.75 mm, reference subcase = 20° elevation.
**Also extract individually:** J9, J10 (trefoil) and J11 (spherical) for secondary reporting.
## Output
Sensitivity matrix → feed into displacement limits and StarSpec deliverable.

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@@ -0,0 +1,197 @@
{
"meta": {
"version": "2.0",
"created": "2026-03-04T12:00:00Z",
"modified": "2026-03-04T12:00:00Z",
"created_by": "mario",
"modified_by": "mario",
"study_name": "01_sensitivity_method_d",
"description": "Method D — Unit displacement sensitivity map. Apply +1 μm prescribed displacement at each unique interface point (3 points × 3 DOF = 9 runs), extract Zernike WFE sensitivity coefficients. Uses symmetry: V_left≡V_right, L_left≡L_right.",
"tags": ["mirror", "zernike", "sensitivity", "frame-stiffness", "parametric"]
},
"model": {
"sim": {
"path": "ASSY_M1_assyfem1_sim1.sim",
"solver": "nastran",
"_note": "UPDATE: Set correct .sim filename after model drop"
},
"nx_settings": {
"nx_install_path": "C:\\Program Files\\Siemens\\DesigncenterNX2512",
"simulation_timeout_s": 600,
"_note": "UPDATE: Adjust NX path for your machine if different"
}
},
"design_variables": [
{
"id": "dv_001",
"name": "dV1_X",
"expression_name": "dV1_X",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_top displacement in global X (0 = fixed, 0.001 = +1 μm)"
},
{
"id": "dv_002",
"name": "dV1_Y",
"expression_name": "dV1_Y",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_top displacement in global Y"
},
{
"id": "dv_003",
"name": "dV1_Z",
"expression_name": "dV1_Z",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_top displacement in global Z (optical axis)"
},
{
"id": "dv_004",
"name": "dV2_X",
"expression_name": "dV2_X",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_side (left) displacement in global X"
},
{
"id": "dv_005",
"name": "dV2_Y",
"expression_name": "dV2_Y",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_side (left) displacement in global Y"
},
{
"id": "dv_006",
"name": "dV2_Z",
"expression_name": "dV2_Z",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "V_side (left) displacement in global Z"
},
{
"id": "dv_007",
"name": "dL1_X",
"expression_name": "dL1_X",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "L_side (left) displacement in global X"
},
{
"id": "dv_008",
"name": "dL1_Y",
"expression_name": "dL1_Y",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "L_side (left) displacement in global Y"
},
{
"id": "dv_009",
"name": "dL1_Z",
"expression_name": "dL1_Z",
"type": "continuous",
"bounds": {"min": 0.0, "max": 0.001},
"baseline": 0.0,
"units": "mm",
"enabled": true,
"description": "L_side (left) displacement in global Z"
}
],
"extractors": [
{
"id": "ext_001",
"name": "Zernike Annular OPD — WFE Sensitivity",
"type": "zernike_opd",
"builtin": true,
"config": {
"inner_radius_mm": 135.75,
"outer_radius_mm": 500.0,
"n_modes": 50,
"filter_low_orders": 4,
"displacement_unit": "mm",
"reference_subcase": 2,
"_note": "J5+ filtered RMS. reference_subcase=2 is 20° elevation. Check subcase numbering in your model."
},
"outputs": [
{
"name": "rel_filtered_rms_40_vs_20",
"metric": "filtered_rms_nm"
},
{
"name": "rel_filtered_rms_60_vs_20",
"metric": "filtered_rms_nm"
}
]
}
],
"objectives": [
{
"id": "obj_001",
"name": "ΔWFE at 60° (primary — worst case)",
"direction": "minimize",
"weight": 1.0,
"source": {
"extractor_id": "ext_001",
"output_name": "rel_filtered_rms_60_vs_20"
},
"target": 1.0,
"units": "nm",
"_note": "This is a parametric study, not optimization. Objective is for tracking only."
}
],
"constraints": [],
"optimization": {
"algorithm": {
"type": "GridSampler",
"config": {
"_note": "GridSampler for deterministic parametric sweep. Each run is a specific point in the design matrix."
}
},
"budget": {
"max_trials": 12
},
"_run_matrix_note": "Override with explicit trial list below. Each trial activates exactly ONE displacement expression = 0.001, rest = 0."
},
"run_matrix": {
"_description": "Explicit trial definitions for Method D. Each row is one FEA run. Atomizer sets these expression values before solving.",
"trials": [
{"trial": 0, "label": "baseline_all_fixed", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 1, "label": "V_top_Z", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0.001, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 2, "label": "V_top_X", "dV1_X": 0.001, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 3, "label": "V_top_Y", "dV1_X": 0, "dV1_Y": 0.001, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 4, "label": "V_side_Z", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0.001, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 5, "label": "V_side_X", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0.001, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 6, "label": "V_side_Y", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0.001, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 7, "label": "L_side_Z", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0.001, "elevation": "60"},
{"trial": 8, "label": "L_side_X", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0.001, "dL1_Y": 0, "dL1_Z": 0, "elevation": "60"},
{"trial": 9, "label": "L_side_Y", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0.001, "dL1_Z": 0, "elevation": "60"},
{"trial": 10, "label": "spot_check_40_top1", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0.001, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "40", "_note": "Repeat top sensitive DOF at 40° — UPDATE label after ranking"},
{"trial": 11, "label": "spot_check_40_top2", "dV1_X": 0, "dV1_Y": 0, "dV1_Z": 0, "dV2_X": 0, "dV2_Y": 0, "dV2_Z": 0.001, "dL1_X": 0, "dL1_Y": 0, "dL1_Z": 0, "elevation": "40", "_note": "UPDATE after ranking"}
]
}
}

View File

@@ -0,0 +1,30 @@
# Study 02 — Stiffness Sweep (Method B)
**Type:** Parametric — CBUSH Spring-to-Ground Sweep
**Runs:** 22 (2 validation + 10 K_vert sweep + 10 K_lat sweep)
**Model:** CBUSH elements at 5 interface points, offset ground nodes (10mm Z)
## What This Does
Replaces fixed BCs with CBUSH springs. Sweeps translational stiffness from 1e4 → 1e10 N/m on log scale. Two independent campaigns:
- Campaign 1: Sweep K_vert (laterals rigid)
- Campaign 2: Sweep K_lat (verticals rigid)
Finds the **knee point** where ΔWFE crosses the 1.0 nm budget.
## .sim Setup Required
1. Create 5 ground nodes (offset 10mm in Z from each support node)
2. SPC 123456 on all ground nodes
3. Remove existing SPCs on 5 support nodes
4. Create 5 CBUSH elements (support → ground, global coords)
5. Create 2 PBUSH properties: 8001 (vertical, K=$K_vert) and 8002 (lateral, K=$K_lat)
6. Create 2 NX expressions: `K_vert`, `K_lat` (default = 1e12)
## Extractor
Same as Study 01: Zernike annular OPD, 50 modes, J5+ filtered, annular aperture.
## Output
ΔWFE vs K curves → knee points → recommended minimum stiffness for StarSpec.

View File

@@ -0,0 +1,126 @@
{
"meta": {
"version": "2.0",
"created": "2026-03-04T12:00:00Z",
"modified": "2026-03-04T12:00:00Z",
"created_by": "mario",
"modified_by": "mario",
"study_name": "02_stiffness_sweep_method_b",
"description": "Method B — CBUSH spring-to-ground stiffness sweep. 5 CBUSH elements at interface points (offset 10mm in -Z). Sweep K_vertical (3 vertical CBUSHes) and K_lateral (2 lateral CBUSHes) independently to find knee points where ΔWFE exceeds 1.0 nm budget.",
"tags": ["mirror", "zernike", "stiffness", "frame-stiffness", "parametric", "cbush"]
},
"model": {
"sim": {
"path": "ASSY_M1_assyfem1_sim1.sim",
"solver": "nastran",
"_note": "UPDATE: This uses the CBUSH model variant (.sim with CBUSH elements + offset ground nodes). Different from Study 01."
},
"nx_settings": {
"nx_install_path": "C:\\Program Files\\Siemens\\DesigncenterNX2512",
"simulation_timeout_s": 600
}
},
"design_variables": [
{
"id": "dv_001",
"name": "K_vert",
"expression_name": "K_vert",
"type": "continuous",
"bounds": {"min": 1e4, "max": 1e12},
"baseline": 1e12,
"units": "N/m",
"enabled": true,
"description": "Translational stiffness for all 3 vertical support CBUSHes (K1=K2=K3=K_vert). Rotational K4=K5=K6 held at 1e12."
},
{
"id": "dv_002",
"name": "K_lat",
"expression_name": "K_lat",
"type": "continuous",
"bounds": {"min": 1e4, "max": 1e12},
"baseline": 1e12,
"units": "N/m",
"enabled": true,
"description": "Translational stiffness for all 2 lateral support CBUSHes (K1=K2=K3=K_lat). Rotational K4=K5=K6 held at 1e12."
}
],
"extractors": [
{
"id": "ext_001",
"name": "Zernike Annular OPD — Stiffness Sweep",
"type": "zernike_opd",
"builtin": true,
"config": {
"inner_radius_mm": 135.75,
"outer_radius_mm": 500.0,
"n_modes": 50,
"filter_low_orders": 4,
"displacement_unit": "mm",
"reference_subcase": 2
},
"outputs": [
{
"name": "rel_filtered_rms_40_vs_20",
"metric": "filtered_rms_nm"
},
{
"name": "rel_filtered_rms_60_vs_20",
"metric": "filtered_rms_nm"
}
]
}
],
"objectives": [
{
"id": "obj_001",
"name": "ΔWFE at 60° — stiffness sweep tracking",
"direction": "minimize",
"weight": 1.0,
"source": {
"extractor_id": "ext_001",
"output_name": "rel_filtered_rms_60_vs_20"
},
"target": 1.0,
"units": "nm"
}
],
"constraints": [],
"optimization": {
"algorithm": {
"type": "GridSampler",
"config": {}
},
"budget": {
"max_trials": 22
}
},
"run_matrix": {
"_description": "Campaign 1: Sweep K_vert (K_lat=1e12). Campaign 2: Sweep K_lat (K_vert=1e12). All at 60° elevation.",
"trials": [
{"trial": 0, "label": "baseline_rigid", "K_vert": 1e12, "K_lat": 1e12, "elevation": "60", "_note": "Validation: should match fixed-BC baseline"},
{"trial": 1, "label": "baseline_rigid_40", "K_vert": 1e12, "K_lat": 1e12, "elevation": "40", "_note": "Validation at 40°"},
{"trial": 2, "label": "Kv_1e4", "K_vert": 1e4, "K_lat": 1e12, "elevation": "60"},
{"trial": 3, "label": "Kv_1e5", "K_vert": 1e5, "K_lat": 1e12, "elevation": "60"},
{"trial": 4, "label": "Kv_3e5", "K_vert": 3e5, "K_lat": 1e12, "elevation": "60"},
{"trial": 5, "label": "Kv_1e6", "K_vert": 1e6, "K_lat": 1e12, "elevation": "60"},
{"trial": 6, "label": "Kv_3e6", "K_vert": 3e6, "K_lat": 1e12, "elevation": "60"},
{"trial": 7, "label": "Kv_1e7", "K_vert": 1e7, "K_lat": 1e12, "elevation": "60"},
{"trial": 8, "label": "Kv_3e7", "K_vert": 3e7, "K_lat": 1e12, "elevation": "60"},
{"trial": 9, "label": "Kv_1e8", "K_vert": 1e8, "K_lat": 1e12, "elevation": "60"},
{"trial": 10, "label": "Kv_1e9", "K_vert": 1e9, "K_lat": 1e12, "elevation": "60"},
{"trial": 11, "label": "Kv_1e10", "K_vert": 1e10, "K_lat": 1e12, "elevation": "60"},
{"trial": 12, "label": "Kl_1e4", "K_vert": 1e12, "K_lat": 1e4, "elevation": "60"},
{"trial": 13, "label": "Kl_1e5", "K_vert": 1e12, "K_lat": 1e5, "elevation": "60"},
{"trial": 14, "label": "Kl_3e5", "K_vert": 1e12, "K_lat": 3e5, "elevation": "60"},
{"trial": 15, "label": "Kl_1e6", "K_vert": 1e12, "K_lat": 1e6, "elevation": "60"},
{"trial": 16, "label": "Kl_3e6", "K_vert": 1e12, "K_lat": 3e6, "elevation": "60"},
{"trial": 17, "label": "Kl_1e7", "K_vert": 1e12, "K_lat": 1e7, "elevation": "60"},
{"trial": 18, "label": "Kl_3e7", "K_vert": 1e12, "K_lat": 3e7, "elevation": "60"},
{"trial": 19, "label": "Kl_1e8", "K_vert": 1e12, "K_lat": 1e8, "elevation": "60"},
{"trial": 20, "label": "Kl_1e9", "K_vert": 1e12, "K_lat": 1e9, "elevation": "60"},
{"trial": 21, "label": "Kl_1e10", "K_vert": 1e12, "K_lat": 1e10, "elevation": "60"}
]
}
}

View File

@@ -0,0 +1,26 @@
# Study 03 — Robustness Checks
**Type:** Parametric — Specific Scenarios
**Runs:** 8
**Model:** Uses both .sim setups (CBUSH for K tests, displacement for correlated tests)
**Prerequisite:** Complete Studies 01 and 02 first (needs knee values)
## What This Does
Tests scenarios that the simple sweeps can't capture:
1. **One-soft-point (3 runs):** What if one support is 10× softer than the rest?
2. **Combined compliance (3 runs):** Both vertical and lateral at knee values simultaneously
3. **Correlated displacement (2 runs):** All verticals move together (frame bending mode simulation)
## Before Running
Update `atomizer_spec.json` with actual knee values from Study 02:
- Replace `KNEE` placeholders with K_vert_knee and K_lat_knee values
- Replace `KNEE/10` with knee/10, `KNEE/2` with knee/2
## Output
- Interaction factor: is combined ΔWFE > sum of individual?
- Worst-case single soft point identification
- Correlated vs independent displacement comparison

View File

@@ -0,0 +1,123 @@
{
"meta": {
"version": "2.0",
"created": "2026-03-04T12:00:00Z",
"modified": "2026-03-04T12:00:00Z",
"created_by": "mario",
"modified_by": "mario",
"study_name": "03_robustness",
"description": "Robustness checks: one-soft-point tests, combined compliance, and correlated displacement patterns. Run AFTER Studies 01 and 02 — uses knee values from Study 02.",
"tags": ["mirror", "zernike", "robustness", "frame-stiffness"]
},
"model": {
"sim": {
"path": "ASSY_M1_assyfem1_sim1.sim",
"solver": "nastran",
"_note": "Uses same CBUSH model variant as Study 02"
},
"nx_settings": {
"nx_install_path": "C:\\Program Files\\Siemens\\DesigncenterNX2512",
"simulation_timeout_s": 600
}
},
"design_variables": [
{
"id": "dv_001",
"name": "K_V_top",
"expression_name": "K_V_top",
"type": "continuous",
"bounds": {"min": 1e4, "max": 1e12},
"baseline": 1e12,
"units": "N/m",
"enabled": true,
"description": "Stiffness for V_top CBUSH only (for one-soft-point tests)"
},
{
"id": "dv_002",
"name": "K_V_side",
"expression_name": "K_V_side",
"type": "continuous",
"bounds": {"min": 1e4, "max": 1e12},
"baseline": 1e12,
"units": "N/m",
"enabled": true,
"description": "Stiffness for V_left + V_right CBUSHes (symmetric pair)"
},
{
"id": "dv_003",
"name": "K_L_side",
"expression_name": "K_L_side",
"type": "continuous",
"bounds": {"min": 1e4, "max": 1e12},
"baseline": 1e12,
"units": "N/m",
"enabled": true,
"description": "Stiffness for L_left + L_right CBUSHes (symmetric pair)"
}
],
"extractors": [
{
"id": "ext_001",
"name": "Zernike Annular OPD — Robustness",
"type": "zernike_opd",
"builtin": true,
"config": {
"inner_radius_mm": 135.75,
"outer_radius_mm": 500.0,
"n_modes": 50,
"filter_low_orders": 4,
"displacement_unit": "mm",
"reference_subcase": 2
},
"outputs": [
{
"name": "rel_filtered_rms_40_vs_20",
"metric": "filtered_rms_nm"
},
{
"name": "rel_filtered_rms_60_vs_20",
"metric": "filtered_rms_nm"
}
]
}
],
"objectives": [
{
"id": "obj_001",
"name": "ΔWFE at 60° — robustness tracking",
"direction": "minimize",
"weight": 1.0,
"source": {
"extractor_id": "ext_001",
"output_name": "rel_filtered_rms_60_vs_20"
},
"target": 1.0,
"units": "nm"
}
],
"constraints": [],
"optimization": {
"algorithm": {
"type": "GridSampler",
"config": {}
},
"budget": {
"max_trials": 8
}
},
"run_matrix": {
"_description": "UPDATE K_knee values after Study 02 completes. Replace 'KNEE' placeholders with actual values.",
"_K_vert_knee": "UPDATE_FROM_STUDY_02",
"_K_lat_knee": "UPDATE_FROM_STUDY_02",
"trials": [
{"trial": 0, "label": "one_soft_V_top", "K_V_top": "KNEE/10", "K_V_side": 1e12, "K_L_side": 1e12, "elevation": "60", "_note": "V_top 10× below knee, rest rigid"},
{"trial": 1, "label": "one_soft_V_side", "K_V_top": 1e12, "K_V_side": "KNEE/10", "K_L_side": 1e12, "elevation": "60", "_note": "V_side 10× below knee, rest rigid"},
{"trial": 2, "label": "one_soft_L_side", "K_V_top": 1e12, "K_V_side": 1e12, "K_L_side": "KNEE/10", "elevation": "60", "_note": "L_side 10× below knee, rest rigid"},
{"trial": 3, "label": "combined_knee_60", "K_V_top": "KNEE", "K_V_side": "KNEE", "K_L_side": "KNEE", "elevation": "60", "_note": "All at knee values"},
{"trial": 4, "label": "combined_knee_40", "K_V_top": "KNEE", "K_V_side": "KNEE", "K_L_side": "KNEE", "elevation": "40", "_note": "All at knee @ 40°"},
{"trial": 5, "label": "combined_half_60", "K_V_top": "KNEE/2", "K_V_side": "KNEE/2", "K_L_side": "KNEE/2", "elevation": "60", "_note": "All at half knee"},
{"trial": 6, "label": "corr_sag_all_V_down", "_type": "method_d", "_note": "USE Study 01 setup: dV1_Z=dV2_Z=0.001 simultaneously (all 3 vertical +1μm Z). Tests correlated frame sag."},
{"trial": 7, "label": "corr_twist_V_split", "_type": "method_d", "_note": "USE Study 01 setup: dV1_Z=+0.001, dV2_Z=-0.001 (V_top up, V_sides down). Tests frame twist."}
]
}
}

View File

@@ -68,3 +68,4 @@ pytest-cov>=4.1.0
black>=23.12.0
ruff>=0.1.0
mypy>=1.8.0
pytest-json-report

91
run_script.bat Normal file
View File

@@ -0,0 +1,91 @@
@echo off
REM ============================================================================
REM Atomizer Script Runner — Run any Python script with result capture
REM ============================================================================
REM Usage:
REM run_script.bat path\to\script.py [args...]
REM
REM Results sync back to Mario via Syncthing in test_results/
REM ============================================================================
setlocal enabledelayedexpansion
set "ATOMIZER_ROOT=%~dp0"
set "RESULTS_DIR=%ATOMIZER_ROOT%test_results"
set "SCRIPT=%~1"
if "%SCRIPT%"=="" (
echo Usage: run_script.bat path\to\script.py [args...]
pause
exit /b 1
)
REM Timestamp
for /f %%i in ('python -c "from datetime import datetime; print(datetime.now().strftime('%%Y-%%m-%%d_%%H-%%M-%%S'))"') do set "TIMESTAMP=%%i"
set "LOG_FILE=%RESULTS_DIR%\script_%TIMESTAMP%.log"
set "RUN_FILE=%RESULTS_DIR%\script_%TIMESTAMP%.json"
if not exist "%RESULTS_DIR%" mkdir "%RESULTS_DIR%"
echo.
echo ============================================================================
echo Running: %SCRIPT%
echo %date% %time%
echo ============================================================================
echo.
cd /d "%ATOMIZER_ROOT%"
REM Shift past first arg to get remaining args
set "EXTRA_ARGS="
shift
:argloop
if not "%~1"=="" (
set "EXTRA_ARGS=!EXTRA_ARGS! %~1"
shift
goto argloop
)
REM Run the script
python "%SCRIPT%" %EXTRA_ARGS% > "%LOG_FILE%" 2>&1
set "EXIT_CODE=!errorlevel!"
REM Also echo to console
type "%LOG_FILE%"
echo.
echo ============================================================================
echo Exit code: %EXIT_CODE%
REM Generate result JSON
python -c "
import json, os
from datetime import datetime
with open(r'%LOG_FILE%', 'r', encoding='utf-8', errors='replace') as f:
log = f.read()
# Grab last 50 lines for quick review
lines = log.strip().split('\n')
tail = lines[-50:] if len(lines) > 50 else lines
result = {
'timestamp': datetime.now().isoformat(),
'type': 'script',
'script': '%SCRIPT%',
'args': '%EXTRA_ARGS%'.strip(),
'exit_code': int('%EXIT_CODE%'),
'status': 'OK' if int('%EXIT_CODE%') == 0 else 'ERROR',
'output_tail': tail,
'log_file': os.path.basename(r'%LOG_FILE%'),
'total_lines': len(lines)
}
with open(r'%RUN_FILE%', 'w') as f:
json.dump(result, f, indent=2)
"
echo Results saved. Will sync to Mario via Syncthing.
echo ============================================================================
pause

188
run_tests.bat Normal file
View File

@@ -0,0 +1,188 @@
@echo off
REM ============================================================================
REM Atomizer Test Runner — Tier 2 Dev Workflow
REM ============================================================================
REM Double-click this to run tests. Results sync back to Mario via Syncthing.
REM
REM Usage:
REM run_tests.bat — run all tests
REM run_tests.bat test_spec_api — run specific test file
REM run_tests.bat unit — run unit tests folder
REM run_tests.bat --quick — fast smoke test (no slow/NX tests)
REM run_tests.bat --nx — NX-dependent tests only
REM ============================================================================
setlocal enabledelayedexpansion
REM === CONFIG ===
set "ATOMIZER_ROOT=%~dp0"
set "RESULTS_DIR=%ATOMIZER_ROOT%test_results"
set "PYTHON=python"
REM Timestamp for this run
for /f "tokens=1-6 delims=/:. " %%a in ("%date% %time%") do (
set "TIMESTAMP=%%a-%%b-%%c_%%d-%%e-%%f"
)
REM Fallback: use a simpler approach
for /f %%i in ('python -c "from datetime import datetime; print(datetime.now().strftime('%%Y-%%m-%%d_%%H-%%M-%%S'))"') do set "TIMESTAMP=%%i"
set "RUN_FILE=%RESULTS_DIR%\run_%TIMESTAMP%.json"
set "LOG_FILE=%RESULTS_DIR%\run_%TIMESTAMP%.log"
REM Create results dir if needed
if not exist "%RESULTS_DIR%" mkdir "%RESULTS_DIR%"
echo.
echo ============================================================================
echo ATOMIZER TEST RUNNER
echo %date% %time%
echo ============================================================================
echo.
REM === Gather system info ===
echo Gathering environment info...
for /f "delims=" %%v in ('python --version 2^>^&1') do set "PYTHON_VER=%%v"
for /f "delims=" %%v in ('python -c "import sys; print(sys.executable)"') do set "PYTHON_EXE=%%v"
REM Check if NX is available
set "NX_AVAILABLE=false"
python -c "import NXOpen" 2>nul && set "NX_AVAILABLE=true"
REM === Determine what to run ===
set "TEST_TARGET=tests/"
set "PYTEST_ARGS=-v --tb=short"
set "TEST_MODE=all"
if "%~1"=="--quick" (
set "PYTEST_ARGS=-v --tb=short -m \"not slow and not nx\""
set "TEST_MODE=quick"
) else if "%~1"=="--nx" (
set "PYTEST_ARGS=-v --tb=short -m nx"
set "TEST_MODE=nx-only"
) else if not "%~1"=="" (
set "TEST_TARGET=tests/%~1"
if not exist "%ATOMIZER_ROOT%tests\%~1" (
set "TEST_TARGET=tests/%~1.py"
)
set "TEST_MODE=targeted"
)
echo Mode: %TEST_MODE%
echo Target: %TEST_TARGET%
echo Python: %PYTHON_VER%
echo NX: %NX_AVAILABLE%
echo Results: %RUN_FILE%
echo.
REM === Run tests ===
echo Running tests...
echo ============================================================================
cd /d "%ATOMIZER_ROOT%"
REM Run pytest with JSON report if available, otherwise parse output
python -m pytest %TEST_TARGET% %PYTEST_ARGS% --json-report --json-report-file="%RESULTS_DIR%\_pytest_report.json" 2>nul
if errorlevel 1 (
REM json-report plugin might not be installed, run without it
python -m pytest %TEST_TARGET% %PYTEST_ARGS% > "%LOG_FILE%" 2>&1
set "EXIT_CODE=!errorlevel!"
) else (
python -m pytest %TEST_TARGET% %PYTEST_ARGS% > "%LOG_FILE%" 2>&1
set "EXIT_CODE=!errorlevel!"
)
echo.
echo ============================================================================
REM === Generate results JSON ===
python -c "
import json, sys, os, platform
from datetime import datetime
log_path = r'%LOG_FILE%'
report_path = r'%RESULTS_DIR%\_pytest_report.json'
run_file = r'%RUN_FILE%'
# Read log
with open(log_path, 'r', encoding='utf-8', errors='replace') as f:
log_content = f.read()
# Parse basic stats from log
lines = log_content.split('\n')
summary_line = ''
for line in reversed(lines):
if 'passed' in line or 'failed' in line or 'error' in line:
summary_line = line.strip()
break
# Try to get JSON report
json_report = None
if os.path.exists(report_path):
try:
with open(report_path) as f:
json_report = json.load(f)
except: pass
# Extract failures
failures = []
in_failure = False
current_failure = []
for line in lines:
if line.startswith('FAILED ') or line.startswith('ERROR '):
failures.append(line.strip())
elif '_ FAILURES _' in line or '_ ERRORS _' in line:
in_failure = True
elif in_failure and line.startswith('='):
if current_failure:
failures.append('\n'.join(current_failure))
current_failure = []
in_failure = False
elif in_failure:
current_failure.append(line)
result = {
'timestamp': datetime.now().isoformat(),
'exit_code': int('%EXIT_CODE%'),
'mode': '%TEST_MODE%',
'target': '%TEST_TARGET%',
'python': '%PYTHON_VER%',
'python_exe': r'%PYTHON_EXE%',
'nx_available': %NX_AVAILABLE%,
'platform': platform.platform(),
'summary': summary_line,
'failures': failures[:20], # cap at 20
'log_file': os.path.basename(log_path),
'status': 'PASS' if int('%EXIT_CODE%') == 0 else 'FAIL'
}
# Add JSON report summary if available
if json_report and 'summary' in json_report:
result['pytest_summary'] = json_report['summary']
with open(run_file, 'w') as f:
json.dump(result, f, indent=2)
print()
print(f'Status: {result[\"status\"]}')
print(f'Summary: {summary_line}')
print(f'Results saved to: {os.path.basename(run_file)}')
"
echo.
REM === Also write a latest.json pointer ===
echo {"latest": "run_%TIMESTAMP%.json", "timestamp": "%TIMESTAMP%"} > "%RESULTS_DIR%\latest.json"
REM === Cleanup old pytest report ===
if exist "%RESULTS_DIR%\_pytest_report.json" del "%RESULTS_DIR%\_pytest_report.json"
echo.
if %EXIT_CODE% EQU 0 (
echo ALL TESTS PASSED
) else (
echo SOME TESTS FAILED — check results
)
echo.
echo Results will sync to Mario via Syncthing.
echo ============================================================================
pause

View File

@@ -9,6 +9,20 @@ from pathlib import Path
# Add project root to path
sys.path.insert(0, str(Path(__file__).parent.parent))
def pytest_configure(config):
"""Register custom markers."""
config.addinivalue_line("markers", "nx: requires NX Open (skip with -m 'not nx')")
config.addinivalue_line("markers", "slow: slow tests (skip with -m 'not slow')")
def pytest_collection_modifyitems(config, items):
"""Auto-mark tests that import NXOpen."""
for item in items:
# Auto-mark files with 'nx' or 'journal' in name
if 'nx' in item.nodeid.lower() or 'journal' in item.nodeid.lower():
item.add_marker(pytest.mark.nx)
@pytest.fixture
def sample_study_dir(tmp_path):
"""Create a temporary study directory structure."""

View File

@@ -0,0 +1,483 @@
#!/usr/bin/env python3
"""
Cross-Validation Against prysm (Phase 2)
==========================================
Compares the Atomizer Zernike implementation against prysm, an established
open-source physical optics library used by the astronomical optics community.
Tests:
1. Noll index → (n,m) mapping agreement
2. Zernike polynomial evaluation agreement (pointwise)
3. Coefficient recovery agreement on same synthetic data
4. RMS wavefront error agreement
Author: Mario (Atomizer V&V)
Created: 2026-03-09
Project: P-Zernike-Validation (GigaBIT)
"""
import sys
import json
import csv
from pathlib import Path
from math import factorial
from typing import Tuple, Dict
import numpy as np
from numpy.linalg import lstsq
# prysm imports
from prysm.polynomials import noll_to_nm, zernike_nm
from prysm.coordinates import make_xy_grid, cart_to_polar
# ============================================================================
# Atomizer Zernike (copy from extract_zernike.py for self-contained comparison)
# ============================================================================
def atomizer_noll_indices(j):
if j < 1:
raise ValueError
count, n = 0, 0
while True:
if n == 0:
ms = [0]
elif n % 2 == 0:
ms = [0] + [m for k in range(1, n // 2 + 1) for m in (-2 * k, 2 * k)]
else:
ms = [m for k in range(0, (n + 1) // 2) for m in (-(2 * k + 1), (2 * k + 1))]
for m in ms:
count += 1
if count == j:
return n, m
n += 1
def atomizer_zernike_radial(n, m, r):
R = np.zeros_like(r)
m_abs = abs(m)
for s in range((n - m_abs) // 2 + 1):
coef = ((-1)**s * factorial(n - s) /
(factorial(s) * factorial((n + m_abs)//2 - s) * factorial((n - m_abs)//2 - s)))
R += coef * r**(n - 2*s)
return R
def atomizer_zernike_noll(j, r, theta):
n, m = atomizer_noll_indices(j)
R = atomizer_zernike_radial(n, m, r)
if m == 0:
return R
elif m > 0:
return R * np.cos(m * theta)
else:
return R * np.sin(-m * theta)
def zernike_name(j):
n, m = atomizer_noll_indices(j)
names = {
(0,0):"Piston",(1,-1):"Tilt X",(1,1):"Tilt Y",
(2,0):"Defocus",(2,-2):"Astig 45°",(2,2):"Astig 0°",
(3,-1):"Coma X",(3,1):"Coma Y",(3,-3):"Trefoil X",(3,3):"Trefoil Y",
(4,0):"Spherical",(4,-2):"2nd Astig X",(4,2):"2nd Astig Y",
(6,0):"2nd Sph",
}
return names.get((n, m), f"Z{j}")
# ============================================================================
# Test 1: Noll Index Mapping Agreement
# ============================================================================
def test_noll_mapping(n_modes=50):
"""Compare Noll index → (n, m) between Atomizer and prysm."""
print("=" * 70)
print("TEST 1: Noll Index Mapping Agreement")
print("=" * 70)
mismatches = []
for j in range(1, n_modes + 1):
# Atomizer
n_ato, m_ato = atomizer_noll_indices(j)
# prysm
n_pry, m_pry = noll_to_nm(j)
match = (n_ato == n_pry and m_ato == m_pry)
if not match:
mismatches.append((j, (n_ato, m_ato), (n_pry, m_pry)))
print(f" ❌ j={j}: Atomizer=({n_ato},{m_ato}) vs prysm=({n_pry},{m_pry})")
if not mismatches:
print(f" ✅ All {n_modes} Noll indices match perfectly")
else:
print(f"{len(mismatches)} mismatches found!")
return len(mismatches) == 0, mismatches
# ============================================================================
# Test 2: Polynomial Evaluation Agreement
# ============================================================================
def test_polynomial_evaluation(n_modes=50, n_points=5000):
"""Compare Zernike polynomial values at same (r, θ) points."""
print("\n" + "=" * 70)
print("TEST 2: Polynomial Evaluation Agreement")
print("=" * 70)
# Generate test points on unit disk
rng = np.random.default_rng(42)
r = rng.uniform(0, 1, n_points)
theta = rng.uniform(0, 2 * np.pi, n_points)
max_diffs = []
rms_diffs = []
all_pass = True
print(f"\n {'j':>4} {'Name':>20} {'Max Diff':>12} {'RMS Diff':>12} {'Status':>8}")
print(f" {'-'*4} {'-'*20} {'-'*12} {'-'*12} {'-'*8}")
for j in range(1, n_modes + 1):
# Atomizer evaluation
z_ato = atomizer_zernike_noll(j, r, theta)
# prysm evaluation
n, m = noll_to_nm(j)
z_pry = zernike_nm(n, m, r, theta, norm=False)
diff = np.abs(z_ato - z_pry)
max_diff = np.max(diff)
rms_diff = np.sqrt(np.mean(diff**2))
max_diffs.append(max_diff)
rms_diffs.append(rms_diff)
passed = max_diff < 1e-10
if not passed:
all_pass = False
status = "" if passed else ""
if max_diff > 1e-14 or j <= 11:
print(f" Z{j:>3} {zernike_name(j):>20} {max_diff:>12.2e} {rms_diff:>12.2e} {status:>8}")
print(f"\n Overall max diff: {max(max_diffs):.2e}")
print(f" Overall RMS diff: {np.sqrt(np.mean(np.array(rms_diffs)**2)):.2e}")
print(f" Result: {'✅ ALL MATCH' if all_pass else '❌ DISCREPANCIES FOUND'}")
return all_pass, max_diffs, rms_diffs
# ============================================================================
# Test 3: Coefficient Recovery Agreement
# ============================================================================
def test_coefficient_recovery(n_modes=50, n_points=2000):
"""
Generate surface with known coefficients, fit with both implementations,
compare recovered coefficients.
"""
print("\n" + "=" * 70)
print("TEST 3: Coefficient Recovery Agreement")
print("=" * 70)
# Generate random test points on unit disk
rng = np.random.default_rng(42)
x = rng.uniform(-1, 1, n_points * 2)
y = rng.uniform(-1, 1, n_points * 2)
mask = x**2 + y**2 <= 1.0
x = x[mask][:n_points]
y = y[mask][:n_points]
r = np.sqrt(x**2 + y**2)
theta = np.arctan2(y, x)
# Known coefficients (realistic mirror)
input_coeffs = {5: 80, 6: 45, 7: 30, 8: 20, 9: 15, 11: 10, 13: 5, 16: 3, 22: 2}
# Generate surface using Atomizer math
surface = np.zeros(len(x))
for j, amp in input_coeffs.items():
surface += amp * atomizer_zernike_noll(j, r, theta)
# Fit with Atomizer basis
Z_ato = np.zeros((len(x), n_modes))
for j in range(1, n_modes + 1):
Z_ato[:, j-1] = atomizer_zernike_noll(j, r, theta)
coeffs_ato, _, _, _ = lstsq(Z_ato, surface, rcond=None)
# Fit with prysm basis
Z_pry = np.zeros((len(x), n_modes))
for j in range(1, n_modes + 1):
n, m = noll_to_nm(j)
Z_pry[:, j-1] = zernike_nm(n, m, r, theta, norm=False)
coeffs_pry, _, _, _ = lstsq(Z_pry, surface, rcond=None)
# Compare
print(f"\n {'j':>4} {'Name':>20} {'Input':>10} {'Atomizer':>12} {'prysm':>12} {'Ato-prysm':>12} {'Status':>8}")
print(f" {'-'*4} {'-'*20} {'-'*10} {'-'*12} {'-'*12} {'-'*12} {'-'*8}")
max_diff = 0
all_pass = True
for j in range(1, n_modes + 1):
inp = input_coeffs.get(j, 0.0)
ato = coeffs_ato[j-1]
pry = coeffs_pry[j-1]
diff = abs(ato - pry)
max_diff = max(max_diff, diff)
passed = diff < 1e-8
if not passed:
all_pass = False
if abs(inp) > 0.01 or diff > 1e-10:
status = "" if passed else ""
print(f" Z{j:>3} {zernike_name(j):>20} {inp:>10.3f} {ato:>12.6f} {pry:>12.6f} {diff:>12.2e} {status:>8}")
print(f"\n Max Atomizer-prysm difference: {max_diff:.2e}")
print(f" Result: {'✅ IMPLEMENTATIONS AGREE' if all_pass else '❌ DISCREPANCIES FOUND'}")
return all_pass, coeffs_ato, coeffs_pry
# ============================================================================
# Test 4: RMS Wavefront Error Agreement
# ============================================================================
def test_rms_agreement(n_modes=50, n_points=5000):
"""Compare RMS WFE computation between implementations."""
print("\n" + "=" * 70)
print("TEST 4: RMS Wavefront Error Agreement")
print("=" * 70)
rng = np.random.default_rng(42)
x = rng.uniform(-1, 1, n_points * 2)
y = rng.uniform(-1, 1, n_points * 2)
mask = x**2 + y**2 <= 1.0
x = x[mask][:n_points]
y = y[mask][:n_points]
r = np.sqrt(x**2 + y**2)
theta = np.arctan2(y, x)
# Test multiple coefficient sets
test_sets = {
"Single astig": {5: 100},
"Gravity-like": {5: 80, 6: 45, 7: 30, 8: 20, 9: 15, 11: 10},
"High-order": {22: 50, 37: 30},
"All modes": {j: 100/j for j in range(5, 51)},
}
all_pass = True
print(f"\n {'Test':>20} {'RMS Atomizer':>14} {'RMS prysm':>14} {'Diff':>12} {'Status':>8}")
print(f" {'-'*20} {'-'*14} {'-'*14} {'-'*12} {'-'*8}")
for name, coeffs in test_sets.items():
# Build surface with Atomizer
surf_ato = np.zeros(len(x))
for j, amp in coeffs.items():
surf_ato += amp * atomizer_zernike_noll(j, r, theta)
# Build surface with prysm
surf_pry = np.zeros(len(x))
for j, amp in coeffs.items():
n, m = noll_to_nm(j)
surf_pry += amp * zernike_nm(n, m, r, theta, norm=False)
rms_ato = np.sqrt(np.mean(surf_ato**2))
rms_pry = np.sqrt(np.mean(surf_pry**2))
diff = abs(rms_ato - rms_pry)
passed = diff < 1e-8
if not passed:
all_pass = False
status = "" if passed else ""
print(f" {name:>20} {rms_ato:>14.6f} {rms_pry:>14.6f} {diff:>12.2e} {status:>8}")
print(f"\n Result: {'✅ RMS VALUES AGREE' if all_pass else '❌ DISCREPANCIES FOUND'}")
return all_pass
# ============================================================================
# Generate Phase 2 Report Figures
# ============================================================================
def generate_phase2_figures(output_dir, n_modes=50):
"""Generate figures for Phase 2 report."""
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
output_dir = Path(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
# --- Figure: Polynomial evaluation comparison ---
rng = np.random.default_rng(42)
r = rng.uniform(0, 1, 5000)
theta = rng.uniform(0, 2*np.pi, 5000)
max_diffs = []
for j in range(1, n_modes + 1):
z_ato = atomizer_zernike_noll(j, r, theta)
n, m = noll_to_nm(j)
z_pry = zernike_nm(n, m, r, theta, norm=False)
max_diffs.append(np.max(np.abs(z_ato - z_pry)))
fig, ax = plt.subplots(figsize=(14, 5))
colors = ['#4CAF50' if d < 1e-10 else '#F44336' for d in max_diffs]
ax.bar(range(1, 51), max_diffs, color=colors, alpha=0.85)
ax.set_xlabel('Noll Index j', fontsize=11)
ax.set_ylabel('Max |Atomizer - prysm|', fontsize=11)
ax.set_title('Phase 2: Polynomial Evaluation Agreement — Atomizer vs prysm\n(5000 random points on unit disk, 50 modes)',
fontsize=13, fontweight='bold')
ax.set_yscale('symlog', linthresh=1e-16)
ax.axhline(y=1e-10, color='red', linestyle='--', alpha=0.5, label='Threshold (1e-10)')
ax.legend()
ax.grid(axis='y', alpha=0.3)
plt.tight_layout()
fig.savefig(output_dir / "fig7_prysm_polynomial_agreement.png", dpi=150, bbox_inches='tight')
plt.close()
print(f" ✅ fig7_prysm_polynomial_agreement.png")
# --- Figure: Coefficient recovery comparison ---
rng = np.random.default_rng(42)
x = rng.uniform(-1, 1, 4000)
y = rng.uniform(-1, 1, 4000)
mask = x**2 + y**2 <= 1.0
x, y = x[mask][:2000], y[mask][:2000]
r2 = np.sqrt(x**2 + y**2)
th2 = np.arctan2(y, x)
input_coeffs = {5: 80, 6: 45, 7: 30, 8: 20, 9: 15, 11: 10, 13: 5, 16: 3, 22: 2}
surface = sum(amp * atomizer_zernike_noll(j, r2, th2) for j, amp in input_coeffs.items())
# Fit with both
Z_ato = np.column_stack([atomizer_zernike_noll(j, r2, th2) for j in range(1, 51)])
Z_pry = np.column_stack([zernike_nm(*noll_to_nm(j), r2, th2, norm=False) for j in range(1, 51)])
c_ato, _, _, _ = lstsq(Z_ato, surface, rcond=None)
c_pry, _, _, _ = lstsq(Z_pry, surface, rcond=None)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6))
modes = np.arange(1, 51)
input_arr = np.array([input_coeffs.get(j, 0) for j in modes])
ax1.bar(modes - 0.3, input_arr, 0.3, label='Input (Truth)', color='#2196F3', alpha=0.85)
ax1.bar(modes, c_ato, 0.3, label='Atomizer', color='#FF9800', alpha=0.85)
ax1.bar(modes + 0.3, c_pry, 0.3, label='prysm', color='#4CAF50', alpha=0.85)
ax1.set_xlabel('Noll Index j', fontsize=11)
ax1.set_ylabel('Coefficient (nm)', fontsize=11)
ax1.set_title('Coefficient Recovery: Truth vs Atomizer vs prysm', fontsize=12, fontweight='bold')
ax1.legend()
ax1.grid(axis='y', alpha=0.3)
diff = np.abs(c_ato - c_pry)
ax2.bar(modes, diff, color='#9C27B0', alpha=0.85)
ax2.set_xlabel('Noll Index j', fontsize=11)
ax2.set_ylabel('|Atomizer - prysm| (nm)', fontsize=11)
ax2.set_title('Inter-Implementation Difference\n(should be ~machine epsilon)', fontsize=12, fontweight='bold')
ax2.set_yscale('symlog', linthresh=1e-14)
ax2.grid(axis='y', alpha=0.3)
plt.tight_layout()
fig.savefig(output_dir / "fig8_prysm_coefficient_agreement.png", dpi=150, bbox_inches='tight')
plt.close()
print(f" ✅ fig8_prysm_coefficient_agreement.png")
# --- Figure: Side-by-side surface evaluation ---
n_grid = 200
x_g = np.linspace(-1, 1, n_grid)
y_g = np.linspace(-1, 1, n_grid)
xx, yy = np.meshgrid(x_g, y_g)
rr = np.sqrt(xx**2 + yy**2)
tt = np.arctan2(yy, xx)
mask_g = rr <= 1.0
# Evaluate Z7 (coma) with both
j_test = 7
z_ato_g = np.full_like(xx, np.nan)
z_pry_g = np.full_like(xx, np.nan)
z_ato_g[mask_g] = atomizer_zernike_noll(j_test, rr[mask_g], tt[mask_g])
n7, m7 = noll_to_nm(j_test)
z_pry_g[mask_g] = zernike_nm(n7, m7, rr[mask_g], tt[mask_g], norm=False)
diff_g = np.full_like(xx, np.nan)
diff_g[mask_g] = z_ato_g[mask_g] - z_pry_g[mask_g]
fig, axes = plt.subplots(1, 3, figsize=(18, 5.5))
for ax, data, title, cmap in zip(
axes,
[z_ato_g, z_pry_g, diff_g],
[f'Atomizer Z{j_test} (Coma X)', f'prysm Z{j_test} (Coma X)', 'Difference'],
['RdBu_r', 'RdBu_r', 'RdBu_r']
):
im = ax.imshow(data, extent=[-1, 1, -1, 1], cmap=cmap, origin='lower')
ax.set_title(title, fontsize=12, fontweight='bold')
ax.set_xlabel('x (normalized)')
ax.set_ylabel('y (normalized)')
plt.colorbar(im, ax=ax, shrink=0.8)
fig.suptitle('Phase 2: Zernike Polynomial Visual Comparison — Atomizer vs prysm',
fontsize=13, fontweight='bold', y=1.02)
plt.tight_layout()
fig.savefig(output_dir / "fig9_prysm_surface_comparison.png", dpi=150, bbox_inches='tight')
plt.close()
print(f" ✅ fig9_prysm_surface_comparison.png")
# ============================================================================
# Main
# ============================================================================
def main():
output_dir = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("/home/papa/obsidian-vault/2-Projects/P-Zernike-Validation/figures")
print("=" * 70)
print("ZERNIKE CROSS-VALIDATION: Atomizer vs prysm")
print("=" * 70)
print(f"prysm version: 0.21.1")
print()
results = {}
# Test 1
passed, mismatches = test_noll_mapping()
results["noll_mapping"] = {"passed": passed, "mismatches": len(mismatches)}
# Test 2
passed, max_diffs, rms_diffs = test_polynomial_evaluation()
results["polynomial_eval"] = {"passed": passed, "max_diff": float(max(max_diffs))}
# Test 3
passed, c_ato, c_pry = test_coefficient_recovery()
results["coefficient_recovery"] = {"passed": passed, "max_diff": float(max(abs(c_ato - c_pry)))}
# Test 4
passed = test_rms_agreement()
results["rms_agreement"] = {"passed": passed}
# Generate figures
print("\n" + "=" * 70)
print("GENERATING PHASE 2 FIGURES")
print("=" * 70)
generate_phase2_figures(output_dir)
# Summary
all_passed = all(v["passed"] for v in results.values())
print("\n" + "=" * 70)
print("CROSS-VALIDATION SUMMARY")
print("=" * 70)
for test, result in results.items():
status = "✅ PASS" if result["passed"] else "❌ FAIL"
print(f" {test:>25}: {status}")
print(f"\n Overall: {'✅ ATOMIZER MATCHES PRYSM' if all_passed else '❌ DISCREPANCIES FOUND'}")
# Save results
results_path = output_dir / "phase2_cross_validation_results.json"
with open(results_path, 'w') as f:
json.dump(results, f, indent=2)
print(f"\n Results saved: {results_path}")
return 0 if all_passed else 1
if __name__ == "__main__":
sys.exit(main())

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@@ -0,0 +1,643 @@
#!/usr/bin/env python3
"""
Synthetic WFE Surface Generator for Zernike Pipeline Validation
================================================================
Generates synthetic FEA-style CSV files with known Zernike content for
validating the WFE_from_CSV_OPD tool. Output matches the exact format
used by Atomizer's Zernike analysis pipeline.
Output CSV format (matching WFE_from_CSV_OPD):
,X,Y,Z,DX,DY,DZ
0, x_meters, y_meters, z_meters, dx_meters, dy_meters, dz_meters
Where:
X, Y, Z = undeformed node positions (meters)
DX, DY, DZ = displacement vector (meters)
The tool computes OPD from displacements (rigorous method accounts for
lateral DX/DY via interpolation on the reference surface).
Two operating modes:
1. PURE SYNTHETIC: Generate a flat/spherical mirror mesh + inject known
Zernike displacements as DZ. Ground truth is exact.
2. INJECT INTO REAL: Load a real FEA CSV, zero out DZ, then inject known
Zernike content. Tests the full pipeline including real mesh geometry.
Usage:
# Pure synthetic (flat mirror, M1 params)
python generate_synthetic_wfe.py --zernike "5:100,7:50" -o test.csv
# Pure synthetic with spherical surface
python generate_synthetic_wfe.py --preset realistic --surface sphere --roc 5000 -o test.csv
# Inject into real M2 data
python generate_synthetic_wfe.py --inject m2_data.csv --zernike "5:100" -o test_injected.csv
# Full validation suite
python generate_synthetic_wfe.py --suite -d validation_suite/
# Full suite with injection into real mesh
python generate_synthetic_wfe.py --suite --inject m2_data.csv -d validation_suite/
Author: Mario (Atomizer V&V)
Created: 2026-03-09
Project: P-Zernike-Validation (GigaBIT M1)
"""
import sys
import os
import argparse
import json
import csv
from pathlib import Path
from math import factorial
from typing import Dict, List, Tuple, Optional
import numpy as np
# ============================================================================
# Zernike Polynomial Mathematics (matching extract_zernike.py conventions)
# ============================================================================
def noll_indices(j: int) -> Tuple[int, int]:
"""Convert Noll index j to radial order n and azimuthal frequency m."""
if j < 1:
raise ValueError("Noll index j must be >= 1")
count = 0
n = 0
while True:
if n == 0:
ms = [0]
elif n % 2 == 0:
ms = [0] + [m for k in range(1, n // 2 + 1) for m in (-2 * k, 2 * k)]
else:
ms = [m for k in range(0, (n + 1) // 2) for m in (-(2 * k + 1), (2 * k + 1))]
for m in ms:
count += 1
if count == j:
return n, m
n += 1
def zernike_radial(n: int, m: int, r: np.ndarray) -> np.ndarray:
"""Compute radial component R_n^m(r)."""
R = np.zeros_like(r)
m_abs = abs(m)
for s in range((n - m_abs) // 2 + 1):
coef = ((-1) ** s * factorial(n - s) /
(factorial(s) *
factorial((n + m_abs) // 2 - s) *
factorial((n - m_abs) // 2 - s)))
R += coef * r ** (n - 2 * s)
return R
def zernike_noll(j: int, r: np.ndarray, theta: np.ndarray) -> np.ndarray:
"""Evaluate Noll-indexed Zernike polynomial Z_j(r, theta)."""
n, m = noll_indices(j)
R = zernike_radial(n, m, r)
if m == 0:
return R
elif m > 0:
return R * np.cos(m * theta)
else:
return R * np.sin(-m * theta)
def zernike_name(j: int) -> str:
"""Get common optical name for Zernike mode."""
n, m = noll_indices(j)
names = {
(0, 0): "Piston",
(1, -1): "Tilt X", (1, 1): "Tilt Y",
(2, 0): "Defocus",
(2, -2): "Astigmatism 45°", (2, 2): "Astigmatism 0°",
(3, -1): "Coma X", (3, 1): "Coma Y",
(3, -3): "Trefoil X", (3, 3): "Trefoil Y",
(4, 0): "Primary Spherical",
(4, -2): "2nd Astig X", (4, 2): "2nd Astig Y",
(4, -4): "Quadrafoil X", (4, 4): "Quadrafoil Y",
(5, -1): "2nd Coma X", (5, 1): "2nd Coma Y",
(5, -3): "2nd Trefoil X", (5, 3): "2nd Trefoil Y",
(5, -5): "Pentafoil X", (5, 5): "Pentafoil Y",
(6, 0): "2nd Spherical",
}
if (n, m) in names:
return names[(n, m)]
return f"Z({n},{m:+d})"
# ============================================================================
# Mesh Generation
# ============================================================================
def generate_mesh(
diameter_mm: float = 1200.0,
inner_radius_mm: float = 0.0,
n_rings: int = 20,
surface_type: str = "flat",
roc_mm: float = 0.0,
conic: float = 0.0,
) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
"""
Generate a mirror mesh with realistic node distribution.
Args:
diameter_mm: Mirror outer diameter in mm
inner_radius_mm: Inner radius (0 for full disk)
n_rings: Number of radial rings
surface_type: "flat", "sphere", "parabola"
roc_mm: Radius of curvature in mm (for sphere/parabola)
conic: Conic constant (-1 = parabola, 0 = sphere)
Returns:
x_m, y_m, z_m: Node positions in meters
"""
outer_r_mm = diameter_mm / 2.0
# Generate rings with increasing node count
all_x = []
all_y = []
if inner_radius_mm > 0:
r_values = np.linspace(inner_radius_mm, outer_r_mm, n_rings)
else:
# Include center point
r_values = np.linspace(0, outer_r_mm, n_rings + 1)
for i, r in enumerate(r_values):
if r < 1e-6:
all_x.append(0.0)
all_y.append(0.0)
else:
# More nodes at larger radii (like real FEA mesh)
n_pts = max(6, int(6 + i * 3))
angles = np.linspace(0, 2 * np.pi, n_pts, endpoint=False)
for a in angles:
all_x.append(r * np.cos(a))
all_y.append(r * np.sin(a))
x_mm = np.array(all_x)
y_mm = np.array(all_y)
# Compute Z (surface sag)
if surface_type == "flat":
z_mm = np.zeros_like(x_mm)
elif surface_type in ("sphere", "parabola"):
if roc_mm <= 0:
raise ValueError("roc_mm must be > 0 for curved surfaces")
r2 = x_mm**2 + y_mm**2
if surface_type == "sphere":
# z = R - sqrt(R^2 - r^2)
z_mm = roc_mm - np.sqrt(roc_mm**2 - r2)
else:
# Parabola: z = r^2 / (2R)
z_mm = r2 / (2 * roc_mm)
else:
raise ValueError(f"Unknown surface_type: {surface_type}")
# Convert to meters
return x_mm / 1000.0, y_mm / 1000.0, z_mm / 1000.0
def load_real_mesh(csv_path: str) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
"""
Load node positions from a real FEA CSV file.
Returns:
x_m, y_m, z_m: Node positions in meters
"""
x_list, y_list, z_list = [], [], []
with open(csv_path) as f:
reader = csv.DictReader(f)
for row in reader:
x_list.append(float(row['X']))
y_list.append(float(row['Y']))
z_list.append(float(row['Z']))
return np.array(x_list), np.array(y_list), np.array(z_list)
# ============================================================================
# Surface Synthesis
# ============================================================================
def synthesize_displacements(
x_m: np.ndarray,
y_m: np.ndarray,
coefficients: Dict[int, float],
diameter_mm: float = None,
noise_rms_nm: float = 0.0,
include_lateral: bool = False,
seed: int = 42,
) -> Tuple[np.ndarray, np.ndarray, np.ndarray, Dict]:
"""
Generate synthetic displacement vectors from Zernike coefficients.
The Zernike content is injected into DZ (surface-normal displacement).
DX and DY are set to zero unless include_lateral is True (adds small
realistic lateral displacements).
Args:
x_m, y_m: Node positions in meters
coefficients: {Noll_index: amplitude_nm}
diameter_mm: Mirror diameter (auto-detected if None)
noise_rms_nm: Gaussian noise RMS in nm
include_lateral: Add small realistic DX/DY
seed: Random seed
Returns:
dx_m, dy_m, dz_m: Displacement vectors in meters
metadata: Ground truth info
"""
# Auto-detect diameter from mesh
if diameter_mm is None:
r_mm = np.sqrt(x_m**2 + y_m**2) * 1000.0
diameter_mm = 2.0 * np.max(r_mm)
outer_r_m = diameter_mm / 2000.0 # meters
# Normalize to unit disk
r_m = np.sqrt(x_m**2 + y_m**2)
r_norm = r_m / outer_r_m
theta = np.arctan2(y_m, x_m)
# Build DZ from Zernike modes (in nm, then convert to meters)
dz_nm = np.zeros_like(x_m)
for j, amp_nm in coefficients.items():
Z_j = zernike_noll(j, r_norm, theta)
dz_nm += amp_nm * Z_j
rms_clean_nm = np.sqrt(np.mean(dz_nm**2))
# Add noise
rng = np.random.default_rng(seed)
if noise_rms_nm > 0:
noise = rng.normal(0, noise_rms_nm, size=dz_nm.shape)
dz_nm += noise
rms_noisy_nm = np.sqrt(np.mean(dz_nm**2))
# Convert to meters
dz_m = dz_nm * 1e-9
# DX, DY
if include_lateral:
# Small lateral displacements (~1/10 of DZ magnitude)
scale = np.max(np.abs(dz_m)) * 0.1
dx_m = rng.normal(0, scale, size=x_m.shape)
dy_m = rng.normal(0, scale, size=y_m.shape)
else:
dx_m = np.zeros_like(x_m)
dy_m = np.zeros_like(y_m)
metadata = {
"input_coefficients": {str(j): amp for j, amp in coefficients.items()},
"coefficient_names": {str(j): zernike_name(j) for j in coefficients},
"n_points": len(x_m),
"diameter_mm": float(diameter_mm),
"rms_nm_clean": float(rms_clean_nm),
"rms_nm_with_noise": float(rms_noisy_nm),
"noise_rms_nm": noise_rms_nm,
"include_lateral": include_lateral,
"seed": seed,
"units": {
"positions": "meters",
"displacements": "meters",
"coefficients": "nanometers",
}
}
return dx_m, dy_m, dz_m, metadata
# ============================================================================
# Output (matching WFE_from_CSV_OPD format exactly)
# ============================================================================
def write_csv_fea(
filepath: str,
x_m: np.ndarray,
y_m: np.ndarray,
z_m: np.ndarray,
dx_m: np.ndarray,
dy_m: np.ndarray,
dz_m: np.ndarray,
):
"""
Write FEA-style CSV matching the WFE_from_CSV_OPD input format.
Format:
,X,Y,Z,DX,DY,DZ
0,x,y,z,dx,dy,dz
1,...
"""
filepath = Path(filepath)
filepath.parent.mkdir(parents=True, exist_ok=True)
with open(filepath, 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow(['', 'X', 'Y', 'Z', 'DX', 'DY', 'DZ'])
for i in range(len(x_m)):
writer.writerow([
i,
f"{x_m[i]:.16e}",
f"{y_m[i]:.16e}",
f"{z_m[i]:.16e}",
f"{dx_m[i]:.5e}",
f"{dy_m[i]:.16e}",
f"{dz_m[i]:.16e}",
])
print(f" Written: {filepath} ({len(x_m)} nodes)")
def write_metadata(filepath: str, metadata: Dict):
"""Write ground truth metadata as JSON."""
filepath = Path(filepath)
filepath.parent.mkdir(parents=True, exist_ok=True)
with open(filepath, 'w') as f:
json.dump(metadata, f, indent=2)
print(f" Metadata: {filepath}")
# ============================================================================
# Preset Test Cases
# ============================================================================
# Realistic M1 mirror: typical gravity-induced deformation pattern
PRESET_REALISTIC = {
5: 80.0, # Astigmatism 0° — dominant gravity mode
6: 45.0, # Astigmatism 45°
7: 30.0, # Coma X
8: 20.0, # Coma Y
9: 15.0, # Trefoil X
11: 10.0, # Primary Spherical
13: 5.0, # Secondary Astigmatism
16: 3.0, # Secondary Coma
22: 2.0, # Secondary Spherical
}
# Single-mode test cases
SINGLE_MODE_TESTS = {
"Z05_astig_0deg": {5: 100.0},
"Z06_astig_45deg": {6: 100.0},
"Z07_coma_x": {7: 100.0},
"Z08_coma_y": {8: 100.0},
"Z09_trefoil_x": {9: 100.0},
"Z10_trefoil_y": {10: 100.0},
"Z11_spherical": {11: 100.0},
"Z22_2nd_spherical": {22: 50.0},
"Z37_high_order": {37: 30.0},
}
# Edge case tests
EDGE_CASE_TESTS = {
"near_zero": {5: 0.1, 7: 0.05, 11: 0.01},
"large_amplitude": {5: 500.0, 7: 300.0},
"many_modes": {j: 100.0 / j for j in range(5, 51)},
}
def generate_single_case(
name: str,
coeffs: Dict[int, float],
output_dir: Path,
x_m: np.ndarray,
y_m: np.ndarray,
z_m: np.ndarray,
diameter_mm: float,
noise_rms_nm: float = 0.0,
include_lateral: bool = False,
):
"""Generate a single test case."""
print(f"\nGenerating: {name}")
dx, dy, dz, meta = synthesize_displacements(
x_m, y_m, coeffs, diameter_mm,
noise_rms_nm=noise_rms_nm,
include_lateral=include_lateral,
)
write_csv_fea(output_dir / f"{name}.csv", x_m, y_m, z_m, dx, dy, dz)
write_metadata(output_dir / f"{name}_truth.json", meta)
return meta
def generate_test_suite(
output_dir: str,
inject_csv: str = None,
diameter_mm: float = None,
inner_radius_mm: float = 0.0,
surface_type: str = "flat",
roc_mm: float = 0.0,
):
"""Generate the full validation test suite."""
output_dir = Path(output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
# Get mesh
if inject_csv:
print(f"Loading real mesh from: {inject_csv}")
x_m, y_m, z_m = load_real_mesh(inject_csv)
if diameter_mm is None:
r_mm = np.sqrt(x_m**2 + y_m**2) * 1000.0
diameter_mm = 2.0 * np.max(r_mm)
mesh_source = f"real FEA mesh ({inject_csv})"
else:
if diameter_mm is None:
diameter_mm = 1200.0
x_m, y_m, z_m = generate_mesh(
diameter_mm, inner_radius_mm,
n_rings=25, surface_type=surface_type, roc_mm=roc_mm
)
mesh_source = f"synthetic {surface_type} (D={diameter_mm}mm)"
print(f"\n Mesh: {mesh_source}")
print(f" Nodes: {len(x_m)}")
print(f" Diameter: {diameter_mm:.1f} mm")
all_cases = {}
# 1. Single-mode tests
print("\n=== Single-Mode Tests ===")
for name, coeffs in SINGLE_MODE_TESTS.items():
meta = generate_single_case(name, coeffs, output_dir, x_m, y_m, z_m, diameter_mm)
all_cases[name] = meta
# 2. Realistic multi-mode
print("\n=== Realistic Multi-Mode ===")
meta = generate_single_case("realistic_gravity", PRESET_REALISTIC, output_dir,
x_m, y_m, z_m, diameter_mm)
all_cases["realistic_gravity"] = meta
# 3. Noisy versions
print("\n=== Noisy Tests ===")
for noise_level in [1.0, 5.0, 10.0]:
name = f"realistic_noise_{noise_level:.0f}nm"
meta = generate_single_case(name, PRESET_REALISTIC, output_dir,
x_m, y_m, z_m, diameter_mm,
noise_rms_nm=noise_level)
all_cases[name] = meta
# 4. Edge cases
print("\n=== Edge Case Tests ===")
for name, coeffs in EDGE_CASE_TESTS.items():
meta = generate_single_case(name, coeffs, output_dir, x_m, y_m, z_m, diameter_mm)
all_cases[name] = meta
# 5. With lateral displacement (tests rigorous OPD method)
print("\n=== Lateral Displacement Test ===")
meta = generate_single_case("realistic_with_lateral", PRESET_REALISTIC, output_dir,
x_m, y_m, z_m, diameter_mm, include_lateral=True)
all_cases["realistic_with_lateral"] = meta
# Summary
print(f"\n{'='*60}")
print(f"Generated {len(all_cases)} test cases in: {output_dir}")
print(f"Mesh source: {mesh_source}")
print(f"{'='*60}")
# Write suite manifest
manifest = {
"suite": "Zernike Pipeline Validation",
"generated": "2026-03-09",
"mesh_source": mesh_source,
"diameter_mm": diameter_mm,
"n_modes": 50,
"cases": all_cases,
}
manifest_path = output_dir / "suite_manifest.json"
with open(manifest_path, 'w') as f:
json.dump(manifest, f, indent=2)
print(f"Manifest: {manifest_path}")
return all_cases
# ============================================================================
# CLI
# ============================================================================
def parse_zernike_string(s: str) -> Dict[int, float]:
"""Parse 'j1:amp1,j2:amp2,...' format."""
coeffs = {}
for pair in s.split(","):
parts = pair.strip().split(":")
if len(parts) != 2:
raise ValueError(f"Invalid format: '{pair}'. Use 'j:amplitude'")
j = int(parts[0])
amp = float(parts[1])
coeffs[j] = amp
return coeffs
def main():
parser = argparse.ArgumentParser(
description="Generate synthetic WFE surfaces for Zernike validation",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
# Pure astigmatism (100nm) on flat synthetic mesh
python generate_synthetic_wfe.py --zernike "5:100" -o test_astig.csv
# Realistic multi-mode
python generate_synthetic_wfe.py --preset realistic -o test_realistic.csv
# Inject into real M2 mesh
python generate_synthetic_wfe.py --inject m2_real.csv --zernike "5:100,7:50" -o test.csv
# Full suite using real mesh geometry
python generate_synthetic_wfe.py --suite --inject m2_real.csv -d validation_suite/
# Full suite with synthetic spherical mirror
python generate_synthetic_wfe.py --suite --surface sphere --roc 5000 -d validation_suite/
"""
)
parser.add_argument("--zernike", "-z", type=str,
help="Zernike coefficients as 'j:amp_nm,...'")
parser.add_argument("--preset", choices=["realistic"],
help="Use preset coefficient set")
parser.add_argument("--suite", action="store_true",
help="Generate full validation test suite")
parser.add_argument("--inject", type=str,
help="Real FEA CSV to use as mesh source (keeps geometry, replaces displacements)")
parser.add_argument("--output", "-o", type=str, default="synthetic_wfe.csv",
help="Output CSV file path")
parser.add_argument("--output-dir", "-d", type=str, default="validation_suite",
help="Output directory for --suite mode")
parser.add_argument("--diameter", type=float, default=None,
help="Mirror diameter in mm (auto-detected from mesh if not set)")
parser.add_argument("--inner-radius", type=float, default=0.0,
help="Inner radius in mm for annular aperture")
parser.add_argument("--surface", choices=["flat", "sphere", "parabola"],
default="flat", help="Surface type for synthetic mesh")
parser.add_argument("--roc", type=float, default=5000.0,
help="Radius of curvature in mm (for sphere/parabola)")
parser.add_argument("--noise", type=float, default=0.0,
help="Gaussian noise RMS in nm")
parser.add_argument("--lateral", action="store_true",
help="Include small lateral DX/DY displacements")
args = parser.parse_args()
print("=" * 60)
print("Synthetic WFE Surface Generator")
print("Zernike Pipeline Validation — GigaBIT")
print("=" * 60)
if args.suite:
generate_test_suite(
args.output_dir,
inject_csv=args.inject,
diameter_mm=args.diameter,
inner_radius_mm=args.inner_radius,
surface_type=args.surface,
roc_mm=args.roc,
)
else:
# Determine coefficients
if args.preset == "realistic":
coeffs = PRESET_REALISTIC
elif args.zernike:
coeffs = parse_zernike_string(args.zernike)
else:
print("\nERROR: Specify --zernike, --preset, or --suite")
sys.exit(1)
# Get mesh
if args.inject:
x_m, y_m, z_m = load_real_mesh(args.inject)
diameter_mm = args.diameter
else:
diameter_mm = args.diameter or 1200.0
x_m, y_m, z_m = generate_mesh(
diameter_mm, args.inner_radius,
n_rings=25, surface_type=args.surface, roc_mm=args.roc
)
print(f" Nodes: {len(x_m)}")
if diameter_mm:
print(f" Diameter: {diameter_mm:.1f} mm")
print(f"\n Coefficients:")
for j, amp in sorted(coeffs.items()):
print(f" Z{j:2d} ({zernike_name(j):20s}): {amp:8.2f} nm")
dx, dy, dz, meta = synthesize_displacements(
x_m, y_m, coeffs, diameter_mm,
noise_rms_nm=args.noise,
include_lateral=args.lateral,
)
print(f"\n RMS (clean): {meta['rms_nm_clean']:.3f} nm")
if args.noise > 0:
print(f" RMS (noisy): {meta['rms_nm_with_noise']:.3f} nm")
write_csv_fea(args.output, x_m, y_m, z_m, dx, dy, dz)
meta_path = Path(args.output).with_suffix('.json')
write_metadata(str(meta_path), meta)
print("\nDone!")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Generate Zernike Validation Report Figures
==========================================
Creates publication-quality figures for the Zernike pipeline validation report.
Outputs PNG figures to a specified directory.
Author: Mario (Atomizer V&V)
Created: 2026-03-09
"""
import sys
import json
import csv
from pathlib import Path
from math import factorial
from typing import Dict, Tuple
import numpy as np
from numpy.linalg import lstsq
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.colors import TwoSlopeNorm
# ============================================================================
# Zernike Math
# ============================================================================
def noll_indices(j):
if j < 1:
raise ValueError
count, n = 0, 0
while True:
if n == 0:
ms = [0]
elif n % 2 == 0:
ms = [0] + [m for k in range(1, n // 2 + 1) for m in (-2 * k, 2 * k)]
else:
ms = [m for k in range(0, (n + 1) // 2) for m in (-(2 * k + 1), (2 * k + 1))]
for m in ms:
count += 1
if count == j:
return n, m
n += 1
def zernike_radial(n, m, r):
R = np.zeros_like(r)
m_abs = abs(m)
for s in range((n - m_abs) // 2 + 1):
coef = ((-1)**s * factorial(n - s) /
(factorial(s) * factorial((n + m_abs)//2 - s) * factorial((n - m_abs)//2 - s)))
R += coef * r**(n - 2*s)
return R
def zernike_noll(j, r, theta):
n, m = noll_indices(j)
R = zernike_radial(n, m, r)
if m == 0: return R
elif m > 0: return R * np.cos(m * theta)
else: return R * np.sin(-m * theta)
def zernike_name(j):
n, m = noll_indices(j)
names = {
(0,0):"Piston",(1,-1):"Tilt X",(1,1):"Tilt Y",
(2,0):"Defocus",(2,-2):"Astig 45°",(2,2):"Astig 0°",
(3,-1):"Coma X",(3,1):"Coma Y",(3,-3):"Trefoil X",(3,3):"Trefoil Y",
(4,0):"Spherical",(4,-2):"2nd Astig X",(4,2):"2nd Astig Y",
(6,0):"2nd Sph",
}
return names.get((n, m), f"Z{j}")
def fit_zernike(x_m, y_m, dz_m, diameter_mm=None, n_modes=50):
if diameter_mm is None:
diameter_mm = 2.0 * np.max(np.sqrt(x_m**2 + y_m**2) * 1000.0)
outer_r_m = diameter_mm / 2000.0
r_norm = np.sqrt(x_m**2 + y_m**2) / outer_r_m
theta = np.arctan2(y_m, x_m)
dz_nm = dz_m * 1e9
Z = np.zeros((len(x_m), n_modes))
for j in range(1, n_modes + 1):
Z[:, j-1] = zernike_noll(j, r_norm, theta)
coeffs, _, _, _ = lstsq(Z, dz_nm, rcond=None)
return coeffs
def read_fea_csv(path):
x, y, z, dx, dy, dz = [], [], [], [], [], []
with open(path) as f:
reader = csv.DictReader(f)
for row in reader:
x.append(float(row['X'])); y.append(float(row['Y'])); z.append(float(row['Z']))
dx.append(float(row['DX'])); dy.append(float(row['DY'])); dz.append(float(row['DZ']))
return np.array(x), np.array(y), np.array(z), np.array(dx), np.array(dy), np.array(dz)
# ============================================================================
# Figure Generation
# ============================================================================
def fig_single_mode_bar_chart(suite_dir, output_dir):
"""Bar chart showing input vs recovered for each single-mode test."""
single_modes = ["Z05_astig_0deg", "Z06_astig_45deg", "Z07_coma_x", "Z08_coma_y",
"Z09_trefoil_x", "Z10_trefoil_y", "Z11_spherical", "Z22_2nd_spherical", "Z37_high_order"]
fig, ax = plt.subplots(figsize=(14, 6))
labels = []
input_vals = []
recovered_vals = []
errors = []
for name in single_modes:
csv_path = suite_dir / f"{name}.csv"
truth_path = suite_dir / f"{name}_truth.json"
if not csv_path.exists():
continue
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
with open(truth_path) as f:
truth = json.load(f)
coeffs_in = {int(k): v for k, v in truth["input_coefficients"].items()}
recovered = fit_zernike(x, y, dz, truth.get("diameter_mm"))
for j, amp in coeffs_in.items():
labels.append(f"Z{j}\n{zernike_name(j)}")
input_vals.append(amp)
recovered_vals.append(recovered[j-1])
errors.append(abs(recovered[j-1] - amp))
x_pos = np.arange(len(labels))
width = 0.35
bars1 = ax.bar(x_pos - width/2, input_vals, width, label='Input (Truth)', color='#2196F3', alpha=0.9)
bars2 = ax.bar(x_pos + width/2, recovered_vals, width, label='Recovered', color='#FF9800', alpha=0.9)
ax.set_xlabel('Zernike Mode', fontsize=12)
ax.set_ylabel('Coefficient Amplitude (nm)', fontsize=12)
ax.set_title('Phase 1: Single-Mode Validation — Input vs Recovered\n(Real M2 Mesh, 357 nodes)', fontsize=14, fontweight='bold')
ax.set_xticks(x_pos)
ax.set_xticklabels(labels, fontsize=9)
ax.legend(fontsize=11)
ax.grid(axis='y', alpha=0.3)
# Add error annotations
for i, err in enumerate(errors):
ax.annotate(f'Δ={err:.1e}', (x_pos[i], max(input_vals[i], recovered_vals[i]) + 2),
ha='center', fontsize=7, color='green')
plt.tight_layout()
fig.savefig(output_dir / "fig1_single_mode_validation.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig1_single_mode_validation.png")
def fig_multi_mode_comparison(suite_dir, output_dir):
"""Multi-mode realistic test: coefficient comparison."""
csv_path = suite_dir / "realistic_gravity.csv"
truth_path = suite_dir / "realistic_gravity_truth.json"
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
with open(truth_path) as f:
truth = json.load(f)
coeffs_in = {int(k): v for k, v in truth["input_coefficients"].items()}
recovered = fit_zernike(x, y, dz, truth.get("diameter_mm"))
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6))
# Left: Bar chart of all 50 modes
modes = np.arange(1, 51)
input_arr = np.array([coeffs_in.get(j, 0.0) for j in modes])
recov_arr = np.array([recovered[j-1] for j in modes])
ax1.bar(modes - 0.2, input_arr, 0.4, label='Input', color='#2196F3', alpha=0.8)
ax1.bar(modes + 0.2, recov_arr, 0.4, label='Recovered', color='#FF9800', alpha=0.8)
ax1.set_xlabel('Noll Index j', fontsize=11)
ax1.set_ylabel('Amplitude (nm)', fontsize=11)
ax1.set_title('Multi-Mode Realistic Test\n(9 modes, gravity-like pattern)', fontsize=12, fontweight='bold')
ax1.legend()
ax1.grid(axis='y', alpha=0.3)
# Right: Error for each mode
error = np.abs(recov_arr - input_arr)
colors = ['#4CAF50' if e < 0.5 else '#F44336' for e in error]
ax2.bar(modes, error, color=colors, alpha=0.8)
ax2.axhline(y=0.5, color='red', linestyle='--', alpha=0.5, label='Tolerance (0.5 nm)')
ax2.set_xlabel('Noll Index j', fontsize=11)
ax2.set_ylabel('|Error| (nm)', fontsize=11)
ax2.set_title('Coefficient Recovery Error\n(all modes ≤ machine epsilon)', fontsize=12, fontweight='bold')
ax2.legend()
ax2.grid(axis='y', alpha=0.3)
ax2.set_yscale('symlog', linthresh=1e-15)
ax2.set_ylim(-1e-16, 1)
plt.tight_layout()
fig.savefig(output_dir / "fig2_multimode_validation.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig2_multimode_validation.png")
def fig_noise_sensitivity(suite_dir, output_dir):
"""Noise sensitivity analysis: error vs noise level."""
noise_levels = [0, 1, 5, 10]
names = ["realistic_gravity", "realistic_noise_1nm", "realistic_noise_5nm", "realistic_noise_10nm"]
active_modes = [5, 6, 7, 8, 9, 11, 13, 16, 22]
mode_labels = [f"Z{j}" for j in active_modes]
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6))
# Collect errors per noise level per mode
all_errors = {}
max_errors = []
rms_errors = []
for noise, name in zip(noise_levels, names):
csv_path = suite_dir / f"{name}.csv"
truth_path = suite_dir / f"{name}_truth.json"
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
with open(truth_path) as f:
truth = json.load(f)
coeffs_in = {int(k): v for k, v in truth["input_coefficients"].items()}
recovered = fit_zernike(x, y, dz, truth.get("diameter_mm"))
mode_errors = []
for j in active_modes:
err = abs(recovered[j-1] - coeffs_in.get(j, 0.0))
mode_errors.append(err)
all_errors[noise] = mode_errors
# Max error across ALL 50 modes
full_err = [abs(recovered[j-1] - coeffs_in.get(j+1, 0.0)) for j in range(50)]
max_errors.append(max(full_err))
rms_errors.append(np.sqrt(np.mean(np.array(full_err)**2)))
# Left: Error per active mode at each noise level
x_pos = np.arange(len(active_modes))
width = 0.2
for i, noise in enumerate(noise_levels):
offset = (i - 1.5) * width
label = f"Noise={noise}nm" if noise > 0 else "Clean"
ax1.bar(x_pos + offset, all_errors[noise], width, label=label, alpha=0.85)
ax1.set_xlabel('Zernike Mode', fontsize=11)
ax1.set_ylabel('|Coefficient Error| (nm)', fontsize=11)
ax1.set_title('Noise Sensitivity: Active Mode Errors\n(357-node M2 mesh)', fontsize=12, fontweight='bold')
ax1.set_xticks(x_pos)
ax1.set_xticklabels(mode_labels)
ax1.legend()
ax1.grid(axis='y', alpha=0.3)
# Right: Max error vs noise level
ax2.plot(noise_levels, max_errors, 'o-', color='#F44336', linewidth=2, markersize=8, label='Max error (any mode)')
ax2.plot(noise_levels, rms_errors, 's-', color='#2196F3', linewidth=2, markersize=8, label='RMS error (all modes)')
ax2.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5, label='Tolerance (0.5 nm)')
ax2.set_xlabel('Input Noise RMS (nm)', fontsize=11)
ax2.set_ylabel('Error (nm)', fontsize=11)
ax2.set_title('Error Growth vs Noise Level\n(357 nodes — sparse mesh amplifies noise)', fontsize=12, fontweight='bold')
ax2.legend()
ax2.grid(alpha=0.3)
plt.tight_layout()
fig.savefig(output_dir / "fig3_noise_sensitivity.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig3_noise_sensitivity.png")
def fig_surface_maps(suite_dir, output_dir):
"""2D surface maps showing input OPD, recovered, and residual."""
csv_path = suite_dir / "realistic_gravity.csv"
truth_path = suite_dir / "realistic_gravity_truth.json"
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
with open(truth_path) as f:
truth = json.load(f)
diameter_mm = truth.get("diameter_mm")
coeffs_in = {int(k): v for k, v in truth["input_coefficients"].items()}
recovered = fit_zernike(x, y, dz, diameter_mm)
# Compute surfaces in nm
dz_nm = dz * 1e9
outer_r_m = diameter_mm / 2000.0
r_norm = np.sqrt(x**2 + y**2) / outer_r_m
theta = np.arctan2(y, x)
# Reconstructed surface
recon_nm = np.zeros_like(x)
for j in range(1, 51):
recon_nm += recovered[j-1] * zernike_noll(j, r_norm, theta)
residual_nm = dz_nm - recon_nm
fig, axes = plt.subplots(1, 3, figsize=(18, 5.5))
x_mm = x * 1000
y_mm = y * 1000
for ax, data, title, cmap in zip(
axes,
[dz_nm, recon_nm, residual_nm],
['Input OPD (DZ)', 'Reconstructed (50 modes)', 'Residual'],
['RdBu_r', 'RdBu_r', 'RdBu_r']
):
vmax = max(abs(data.max()), abs(data.min())) if np.any(data != 0) else 1
if vmax < 1e-10:
vmax = 1e-10
norm = TwoSlopeNorm(vmin=-vmax, vcenter=0, vmax=vmax)
sc = ax.scatter(x_mm, y_mm, c=data, cmap=cmap, norm=norm, s=15, edgecolors='none')
ax.set_aspect('equal')
ax.set_xlabel('X (mm)')
ax.set_ylabel('Y (mm)')
ax.set_title(f'{title}\nRMS: {np.sqrt(np.mean(data**2)):.4f} nm')
plt.colorbar(sc, ax=ax, label='nm', shrink=0.8)
fig.suptitle('Phase 1: Realistic Multi-Mode Surface Validation\n(Real M2 Mesh, 357 nodes, 308mm diameter)',
fontsize=13, fontweight='bold', y=1.02)
plt.tight_layout()
fig.savefig(output_dir / "fig4_surface_maps.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig4_surface_maps.png")
def fig_mesh_visualization(suite_dir, output_dir):
"""Show the real M2 mesh node distribution."""
csv_path = suite_dir / "realistic_gravity.csv"
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6))
# Left: Node positions (XY plane)
x_mm = x * 1000
y_mm = y * 1000
ax1.scatter(x_mm, y_mm, c='#2196F3', s=8, alpha=0.7)
ax1.set_aspect('equal')
ax1.set_xlabel('X (mm)', fontsize=11)
ax1.set_ylabel('Y (mm)', fontsize=11)
ax1.set_title(f'M2 Mirror FEA Mesh — {len(x)} Nodes\n(Normand Fullum / Optiques Fullum)', fontsize=12, fontweight='bold')
ax1.grid(alpha=0.2)
# Add diameter annotation
r_mm = np.sqrt(x_mm**2 + y_mm**2)
circle = plt.Circle((0, 0), r_mm.max(), fill=False, color='red', linestyle='--', alpha=0.5)
ax1.add_patch(circle)
ax1.annotate(f'Ø {r_mm.max()*2:.0f} mm', (r_mm.max()*0.7, r_mm.max()*0.9), color='red', fontsize=10)
# Right: Surface profile (Z vs radius)
z_mm = z * 1000
ax2.scatter(r_mm, z_mm, c='#FF5722', s=8, alpha=0.7)
ax2.set_xlabel('Radial Distance (mm)', fontsize=11)
ax2.set_ylabel('Surface Height Z (mm)', fontsize=11)
ax2.set_title(f'Surface Profile — Sag: {z_mm.max()-z_mm.min():.2f} mm', fontsize=12, fontweight='bold')
ax2.grid(alpha=0.3)
plt.tight_layout()
fig.savefig(output_dir / "fig5_mesh_visualization.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig5_mesh_visualization.png")
def fig_suite_summary(suite_dir, output_dir):
"""Summary table-like figure showing all test results."""
manifest_path = suite_dir / "suite_manifest.json"
with open(manifest_path) as f:
manifest = json.load(f)
test_names = []
statuses = []
max_errors = []
for name, meta in sorted(manifest["cases"].items()):
csv_path = suite_dir / f"{name}.csv"
truth_path = suite_dir / f"{name}_truth.json"
if not csv_path.exists():
continue
x, y, z, dx, dy, dz = read_fea_csv(csv_path)
with open(truth_path) as f:
truth = json.load(f)
coeffs_in = {int(k): v for k, v in truth["input_coefficients"].items()}
recovered = fit_zernike(x, y, dz, truth.get("diameter_mm"))
max_err = 0
for j in range(1, 51):
err = abs(recovered[j-1] - coeffs_in.get(j, 0.0))
max_err = max(max_err, err)
test_names.append(name.replace("_", "\n"))
max_errors.append(max_err)
statuses.append("PASS" if max_err < 0.5 else "NOISE")
fig, ax = plt.subplots(figsize=(16, 6))
colors = ['#4CAF50' if s == "PASS" else '#FF9800' for s in statuses]
bars = ax.barh(range(len(test_names)), max_errors, color=colors, alpha=0.85)
ax.axvline(x=0.5, color='red', linestyle='--', alpha=0.6, label='Tolerance (0.5 nm)')
ax.set_yticks(range(len(test_names)))
ax.set_yticklabels(test_names, fontsize=8)
ax.set_xlabel('Max Coefficient Error (nm)', fontsize=11)
ax.set_title('Validation Suite Summary — All Test Cases\n(Green = PASS, Orange = Expected noise degradation)',
fontsize=13, fontweight='bold')
ax.legend(fontsize=10)
ax.grid(axis='x', alpha=0.3)
ax.set_xscale('symlog', linthresh=1e-14)
# Add value labels
for i, (bar, err, status) in enumerate(zip(bars, max_errors, statuses)):
label = f"{err:.2e} nm — {status}"
ax.text(max(err, 1e-15) * 1.5, i, label, va='center', fontsize=8)
plt.tight_layout()
fig.savefig(output_dir / "fig6_suite_summary.png", dpi=150, bbox_inches='tight')
plt.close()
print(" ✅ fig6_suite_summary.png")
# ============================================================================
# Main
# ============================================================================
def main():
suite_dir = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("tools/validation_suite")
output_dir = Path(sys.argv[2]) if len(sys.argv) > 2 else Path("tools/validation_report_figures")
output_dir.mkdir(parents=True, exist_ok=True)
print(f"Generating validation report figures...")
print(f" Suite: {suite_dir}")
print(f" Output: {output_dir}")
print()
fig_single_mode_bar_chart(suite_dir, output_dir)
fig_multi_mode_comparison(suite_dir, output_dir)
fig_noise_sensitivity(suite_dir, output_dir)
fig_surface_maps(suite_dir, output_dir)
fig_mesh_visualization(suite_dir, output_dir)
fig_suite_summary(suite_dir, output_dir)
print(f"\nAll figures generated in: {output_dir}")
if __name__ == "__main__":
main()

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@@ -0,0 +1,298 @@
#!/usr/bin/env python3
"""
Zernike Round-Trip Validator
=============================
Reads a synthetic WFE CSV (FEA format: X,Y,Z,DX,DY,DZ) + its truth JSON,
fits Zernike coefficients from DZ, and compares recovered vs input.
This validates that the Zernike fitting math is correct by doing a
generate → fit → compare round-trip.
Usage:
# Single file
python validate_zernike_roundtrip.py validation_suite/Z05_astig_0deg.csv
# Full suite
python validate_zernike_roundtrip.py --suite validation_suite/
Author: Mario (Atomizer V&V)
Created: 2026-03-09
"""
import sys
import csv
import json
import argparse
from pathlib import Path
from math import factorial
from typing import Dict, Tuple
import numpy as np
from numpy.linalg import lstsq
# ============================================================================
# Zernike Math (same as generate_synthetic_wfe.py)
# ============================================================================
def noll_indices(j: int) -> Tuple[int, int]:
if j < 1:
raise ValueError("Noll index j must be >= 1")
count = 0
n = 0
while True:
if n == 0:
ms = [0]
elif n % 2 == 0:
ms = [0] + [m for k in range(1, n // 2 + 1) for m in (-2 * k, 2 * k)]
else:
ms = [m for k in range(0, (n + 1) // 2) for m in (-(2 * k + 1), (2 * k + 1))]
for m in ms:
count += 1
if count == j:
return n, m
n += 1
def zernike_radial(n, m, r):
R = np.zeros_like(r)
m_abs = abs(m)
for s in range((n - m_abs) // 2 + 1):
coef = ((-1) ** s * factorial(n - s) /
(factorial(s) * factorial((n + m_abs) // 2 - s) * factorial((n - m_abs) // 2 - s)))
R += coef * r ** (n - 2 * s)
return R
def zernike_noll(j, r, theta):
n, m = noll_indices(j)
R = zernike_radial(n, m, r)
if m == 0:
return R
elif m > 0:
return R * np.cos(m * theta)
else:
return R * np.sin(-m * theta)
def zernike_name(j):
n, m = noll_indices(j)
names = {
(0, 0): "Piston", (1, -1): "Tilt X", (1, 1): "Tilt Y",
(2, 0): "Defocus", (2, -2): "Astig 45°", (2, 2): "Astig 0°",
(3, -1): "Coma X", (3, 1): "Coma Y",
(3, -3): "Trefoil X", (3, 3): "Trefoil Y",
(4, 0): "Spherical", (4, -2): "2ndAstig X", (4, 2): "2ndAstig Y",
(6, 0): "2nd Spherical",
}
return names.get((n, m), f"Z({n},{m:+d})")
# ============================================================================
# CSV Reading (FEA format)
# ============================================================================
def read_fea_csv(csv_path: str):
"""
Read FEA-format CSV with columns: (index), X, Y, Z, DX, DY, DZ.
All values in meters.
Returns:
x_m, y_m, z_m, dx_m, dy_m, dz_m: arrays
"""
x, y, z, dx, dy, dz = [], [], [], [], [], []
with open(csv_path) as f:
reader = csv.DictReader(f)
for row in reader:
x.append(float(row['X']))
y.append(float(row['Y']))
z.append(float(row['Z']))
dx.append(float(row['DX']))
dy.append(float(row['DY']))
dz.append(float(row['DZ']))
return (np.array(x), np.array(y), np.array(z),
np.array(dx), np.array(dy), np.array(dz))
# ============================================================================
# Zernike Fitting (Least Squares)
# ============================================================================
def fit_zernike(x_m, y_m, dz_m, diameter_mm=None, n_modes=50):
"""
Fit Zernike coefficients to DZ displacement data.
Args:
x_m, y_m: Node positions in meters
dz_m: Z-displacement in meters
diameter_mm: Mirror diameter (auto-detected if None)
n_modes: Number of Zernike modes to fit
Returns:
coefficients_nm: array of shape (n_modes,), amplitudes in nm
"""
if diameter_mm is None:
r_mm = np.sqrt(x_m**2 + y_m**2) * 1000.0
diameter_mm = 2.0 * np.max(r_mm)
outer_r_m = diameter_mm / 2000.0
r_norm = np.sqrt(x_m**2 + y_m**2) / outer_r_m
theta = np.arctan2(y_m, x_m)
# Convert DZ to nm
dz_nm = dz_m * 1e9
# Build Zernike basis matrix
Z = np.zeros((len(x_m), n_modes))
for j in range(1, n_modes + 1):
Z[:, j - 1] = zernike_noll(j, r_norm, theta)
# Least-squares fit
coeffs, residuals, rank, sv = lstsq(Z, dz_nm, rcond=None)
return coeffs
# ============================================================================
# Validation
# ============================================================================
def validate_file(csv_path: str, n_modes: int = 50, diameter_mm: float = None,
tolerance_nm: float = 0.5, verbose: bool = True):
"""
Validate a single synthetic WFE file.
Returns:
passed: bool
results: dict
"""
csv_path = Path(csv_path)
truth_path = csv_path.with_name(csv_path.stem + "_truth.json")
if not truth_path.exists():
print(f" WARNING: No truth file found for {csv_path.name}")
return None, None
# Load CSV (FEA format)
x_m, y_m, z_m, dx_m, dy_m, dz_m = read_fea_csv(csv_path)
# Load truth
with open(truth_path) as f:
truth = json.load(f)
input_coeffs = {int(k): v for k, v in truth["input_coefficients"].items()}
# Use diameter from truth if available
if diameter_mm is None:
diameter_mm = truth.get("diameter_mm")
# Fit Zernike from DZ
recovered = fit_zernike(x_m, y_m, dz_m, diameter_mm, n_modes)
# Compare
max_error = 0.0
results = {"modes": {}}
all_passed = True
if verbose:
print(f"\n {'Mode':>6} {'Name':>20} {'Input(nm)':>10} {'Recovered(nm)':>14} {'Error(nm)':>10} {'Status':>8}")
print(f" {'-'*6} {'-'*20} {'-'*10} {'-'*14} {'-'*10} {'-'*8}")
for j in range(1, n_modes + 1):
input_val = input_coeffs.get(j, 0.0)
recovered_val = recovered[j - 1]
error = abs(recovered_val - input_val)
max_error = max(max_error, error)
mode_passed = error < tolerance_nm
if not mode_passed:
all_passed = False
results["modes"][j] = {
"input": input_val,
"recovered": float(recovered_val),
"error": float(error),
"passed": mode_passed,
}
if verbose and (abs(input_val) > 0.01 or abs(recovered_val) > tolerance_nm):
status = "" if mode_passed else ""
print(f" Z{j:>4d} {zernike_name(j):>20} {input_val:>10.3f} {recovered_val:>14.3f} {error:>10.6f} {status:>8}")
results["max_error_nm"] = float(max_error)
results["all_passed"] = all_passed
results["tolerance_nm"] = tolerance_nm
results["n_points"] = len(x_m)
if verbose:
print(f"\n Max error: {max_error:.6f} nm")
print(f" Tolerance: {tolerance_nm:.3f} nm")
print(f" Result: {'✅ PASS' if all_passed else '❌ FAIL'}")
return all_passed, results
def validate_suite(suite_dir: str, n_modes: int = 50, tolerance_nm: float = 0.5):
"""Validate all test cases in a suite directory."""
suite_dir = Path(suite_dir)
csv_files = sorted(suite_dir.glob("*.csv"))
print(f"\nValidating {len(csv_files)} test cases in: {suite_dir}")
print("=" * 70)
summary = {}
n_pass = 0
n_fail = 0
n_skip = 0
for csv_file in csv_files:
print(f"\n{''*70}")
print(f"Test: {csv_file.name}")
passed, results = validate_file(csv_file, n_modes, tolerance_nm=tolerance_nm)
if passed is None:
n_skip += 1
summary[csv_file.stem] = "SKIP"
elif passed:
n_pass += 1
summary[csv_file.stem] = "PASS"
else:
n_fail += 1
summary[csv_file.stem] = "FAIL"
print(f"\n{'='*70}")
print(f"SUITE SUMMARY")
print(f"{'='*70}")
print(f" PASS: {n_pass}")
print(f" FAIL: {n_fail}")
print(f" SKIP: {n_skip}")
print(f" Total: {len(csv_files)}")
print(f"\n Overall: {'✅ ALL PASSED' if n_fail == 0 else '❌ FAILURES DETECTED'}")
return n_fail == 0, summary
def main():
parser = argparse.ArgumentParser(description="Validate Zernike round-trip accuracy")
parser.add_argument("input", nargs="?", help="CSV file or use --suite")
parser.add_argument("--suite", type=str, help="Validate all CSVs in directory")
parser.add_argument("--n-modes", type=int, default=50)
parser.add_argument("--tolerance", type=float, default=0.5,
help="Max acceptable coefficient error in nm (default: 0.5)")
parser.add_argument("--diameter", type=float, default=None,
help="Mirror diameter in mm (auto-detected if not set)")
args = parser.parse_args()
if args.suite:
passed, summary = validate_suite(args.suite, args.n_modes, args.tolerance)
sys.exit(0 if passed else 1)
elif args.input:
passed, results = validate_file(args.input, args.n_modes, args.diameter, args.tolerance)
sys.exit(0 if passed else 1)
else:
parser.print_help()
sys.exit(1)
if __name__ == "__main__":
main()

View File

@@ -0,0 +1,358 @@
,X,Y,Z,DX,DY,DZ
0,2.3213457927954585e-07,7.0192473936117050e-03,9.0794787554182577e-03,0.00000e+00,0.0000000000000000e+00,1.3701020066378755e-14
1,2.5977121345781744e-03,1.1517149682457123e-02,9.0794787554182577e-03,0.00000e+00,0.0000000000000000e+00,2.5156982548228630e-10
2,-2.5972378654218259e-03,1.1517149682457123e-02,9.0794787554182577e-03,0.00000e+00,0.0000000000000000e+00,-2.5152389590937259e-10
3,-4.5013965421825583e-05,-7.9734726944255263e-03,8.5744833477516824e-03,0.00000e+00,0.0000000000000000e+00,3.0179865401094113e-12
4,1.1570132134578174e-02,-3.7689960772034903e-03,8.7319678715387372e-03,0.00000e+00,0.0000000000000000e+00,-3.6667940540296812e-10
5,1.7727132134578175e-02,6.8948193904984079e-03,8.8090371313267468e-03,0.00000e+00,0.0000000000000000e+00,1.0277414924984792e-09
6,1.5588132134578174e-02,1.9017250359090548e-02,8.9065225749496157e-03,0.00000e+00,0.0000000000000000e+00,2.4926673013298630e-09
7,6.1562021345781745e-03,2.6933356070924563e-02,8.9632178928165107e-03,0.00000e+00,0.0000000000000000e+00,1.3942025030013456e-09
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"6": "Astigmatism 0\u00b0",
"7": "Coma X",
"8": "Coma Y",
"9": "Trefoil X",
"10": "Trefoil Y",
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},
"n_points": 357,
"diameter_mm": 308.4492626330409,
"rms_nm_clean": 14.718241472214698,
"rms_nm_with_noise": 14.718241472214698,
"noise_rms_nm": 0.0,
"include_lateral": false,
"seed": 42,
"units": {
"positions": "meters",
"displacements": "meters",
"coefficients": "nanometers"
}
}

View File

@@ -0,0 +1,358 @@
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View File

@@ -0,0 +1,36 @@
{
"input_coefficients": {
"5": 80.0,
"6": 45.0,
"7": 30.0,
"8": 20.0,
"9": 15.0,
"11": 10.0,
"13": 5.0,
"16": 3.0,
"22": 2.0
},
"coefficient_names": {
"5": "Astigmatism 45\u00b0",
"6": "Astigmatism 0\u00b0",
"7": "Coma X",
"8": "Coma Y",
"9": "Trefoil X",
"11": "Primary Spherical",
"13": "2nd Astig Y",
"16": "2nd Coma X",
"22": "2nd Spherical"
},
"n_points": 357,
"diameter_mm": 308.4492626330409,
"rms_nm_clean": 42.14873971447113,
"rms_nm_with_noise": 42.14873971447113,
"noise_rms_nm": 0.0,
"include_lateral": false,
"seed": 42,
"units": {
"positions": "meters",
"displacements": "meters",
"coefficients": "nanometers"
}
}

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