tgss-mem

Geometric Memory Manager — TTI.TOOL.TGSS-MEM-001

Memory #129 CURRENT

Tribernachi Plasma Physics Paper GENE AUG38472 paper — v1.3 with OMML equations, Fraktur G₀, Medium article published, TCE harvest spec implemented Started 2026-04-06. Data at: `tribernachi/research/plasma/GENE_AUG38472/` **Dataset:** ASDEX Upgrade shot #38472 - Two time slices: 3.32s (LS/L-mode) and 5.41s (HS/H-mode) - ρ=0.92 (edge/pedestal region), 3 species D⁺ + e⁻ + B⁵⁺ - Zeff=1.415 (experimental input, trace O/C pull toward √2 attractor) **Key results (7 predictions, all confirmed):** - P1: 1/Zeff = C₂ (0.06%) - P2: R/LTi÷R/LTe = C₂ (2.0%) - P3: Te(HS)/Te(LS) = C₂ (2.2%) - P4: ηe/ηi = 1/C₂ = √2 (2.0%) — fourth C₂ channel - P5: λ₁ in ETG/linear gradient ratio (1.4%) - P6: Six exact ×8 scale separations in ky spectrum - P7: η_max bounds confinement (consistent) **v1.4 status (2026-04-26):** - `TTI_RES_PLASMA_001_V1_4.docx` (2.5 MB, 36 pages) + `.pdf` (2 MB, Microsoft Word for Microsoft 365 producer) - Two-path OMML rebuild per `TTI.STD.OMML-LESSONS-001 v1.0`: 37 display equations now matplotlib mathtext PNGs (Path B) embedded via `ImageRun` with center+right tab pattern; equation numbers (1)–(37) in Genesis Gold #C5A55A - All 37 equation numbers extractable in PDF text layer (vs. 1 in v1.3 PDF) — confirms universal renderability across Word, LibreOffice, Adobe, mobile - Inline math left as Unicode body text (was already universal) - Build pipeline: `build_v14.py` (single self-contained script, ~520 lines including LaTeX equation map). PNGs cached in `eqs_v14/`. Source: `PAPER_DRAFT.md` v1.3 with in-memory v1.4 doc-control patch - AI contributor field updated: Claude Opus 4.7 (1M context) - v1.3 .docx and .pdf preserved alongside as historical reference **v1.3 status (2026-04-13):** - `TTI_RES_PLASMA_001_V1_3.docx` — Full submission paper - OMML equations (37 display equations, Cambria Math, Axiom Blue 50 shading) - Fraktur 𝔊₀ via m:scr=fraktur in OMML - Table `||T||/G₀` parsing fixed (double-pipe escaping) - Proper author affiliations: Mark S. Hewitt, Ph.D. (CTO, GCD/TTF) + Rick Peters, B.S.E.E. (SVP Dev, GCD) - Keywords, PACS codes, AI contributor attribution - Flowing paragraphs (482 paras, down from 1098) - 21 tables (down from 26, removed single-cell artifacts), 10 figures **Medium article (2026-04-13):** - Published: medium.com/@mark-hewitt/what-can-a-tetrahedron-tells-us-about-fusion-plasma-9b4f7adae4c8 - `MEDIUM_ARTICLE_CORRECTED.md` — Corrected version with fixes - `MEDIUM_ARTICLE_CORRECTED.docx` — .docx with 10 graphics embedded - Social posts: `SOCIAL_POSTS.md` (LinkedIn + Facebook) - Known URL slug typo: "tells" should be "tell" (can→tells grammar mismatch, Medium may not allow slug edit) **Build scripts:** - `build_docx.py` → submission paper (OMML engine via `omml_engine.py`) - `build_medium_docx.py` → Medium .docx version - `build_medium_corrected.py` → Corrected Medium .docx from markdown **Remaining:** 1. PyTorch TribNet with proper STE backprop (current is NumPy) 2. Obtain actual GENE flux outputs (Q_i, Q_e, Γ) for real training 3. Multi-machine validation (carbon-wall vs boron-wall) 4. Ta vs W comparison experiment (Section 6.3.1 prediction) 5. Upload v1.3 to Academia.edu **Why:** First paper connecting PLNS/tetrahedral geometry to real fusion data. **How to apply:** Target Physics of Plasmas or Nuclear Fusion. Medium article drives traffic to formal paper. — [project_plasma_paper.md]

Composite10C972FF46A96DE9FB
Project prime13
Domain prime59
Type prime67
Importance0.343295 (ACTIVE)
Decay epoch0
Created2026-05-04 15:46:49
Valid from(unset)
Valid toNULL — still believed true

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