feat: Major update - Physics docs, Zernike OPD, insights, NX journals, tools
Documentation: - Add docs/06_PHYSICS/ with Zernike fundamentals and OPD method docs - Add docs/guides/CMA-ES_EXPLAINED.md optimization guide - Update CLAUDE.md and ATOMIZER_CONTEXT.md with current architecture - Update OP_01_CREATE_STUDY protocol Planning: - Add DYNAMIC_RESPONSE plans for random vibration/PSD support - Add OPTIMIZATION_ENGINE_MIGRATION_PLAN for code reorganization Insights System: - Update design_space, modal_analysis, stress_field, thermal_field insights - Improve error handling and data validation NX Journals: - Add analyze_wfe_zernike.py for Zernike WFE analysis - Add capture_study_images.py for automated screenshots - Add extract_expressions.py and introspect_part.py utilities - Add user_generated_journals/journal_top_view_image_taking.py Tests & Tools: - Add comprehensive Zernike OPD test suite - Add audit_v10 tests for WFE validation - Add tools for Pareto graphs and mirror data extraction - Add migrate_studies_to_topics.py utility Knowledge Base: - Initialize LAC (Learning Atomizer Core) with failure/success patterns Dashboard: - Update Setup.tsx and launch_dashboard.py - Add restart-dev.bat helper script 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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CLAUDE.md
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CLAUDE.md
@@ -108,12 +108,23 @@ The Protocol Operating System (POS) provides layered documentation:
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**CRITICAL: Always use the `atomizer` conda environment.**
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### Paths (DO NOT SEARCH - use these directly)
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```
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Python: C:\Users\antoi\anaconda3\envs\atomizer\python.exe
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Conda: C:\Users\antoi\anaconda3\Scripts\conda.exe
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```
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### Running Python Scripts
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```bash
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conda activate atomizer
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python run_optimization.py
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# Option 1: PowerShell with conda activate (RECOMMENDED)
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powershell -Command "conda activate atomizer; python your_script.py"
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# Option 2: Direct path (no activation needed)
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C:\Users\antoi\anaconda3\envs\atomizer\python.exe your_script.py
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```
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**DO NOT:**
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- Search for Python paths (`where python`, etc.) - they're documented above
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- Install packages with pip/conda (everything is installed)
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- Create new virtual environments
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- Use system Python
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