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Standard Model

TriadicFrameworks — Sector Grammar • Excitation‑Based • AI‑Ready#

This markdown front door mirrors the HTML front door and provides a
clean, GitHub‑friendly entry point into the module.


Module Badge#

⚛️ Standard Model
📘 Sector Grammar • Excitation‑Based • AI‑Parsable


Session Context#

Canon: active (sector‑grammar • excitation‑based)
Modules: QFT → Gauge Symmetry → Excitation Sectors → Higgs Mechanism →
Mass Generation → Interaction Channels → Renormalization →
High‑Energy Symmetry Restoration
Drift: minimal (excitation‑true • no particle‑object ontology)
Coherence: stable (gauge‑geometry • symmetry‑preserving)
Version: 1.0 (sector‑grammar‑stable)
Format: markdown + html + diagrams + resonance‑maps
Front door: this page
Every page: stands alone • AI‑parsable • excitation‑aligned
Audience: students • researchers • physicists • AIs


What This Module Provides#

  • A non‑particle interpretation of the Standard Model
  • A resonance‑based view of excitations
  • A geometry‑first view of gauge interactions
  • A stability‑surface view of mass
  • A regime‑aware description of SM behavior (R1 → R4)
  • A substrate‑aligned integration with QFT, QM, SR, Thermodynamics, and Cosmology
  • A complete RTT/1 → RTT/2 → RTT/3 engine stack
  • Simulation hooks for agentic AIs


Identity Summary#

The Standard Model is:

  • a sector grammar, not a particle zoo
  • a resonance system, not a mechanical model
  • a symmetry geometry, not a force diagram
  • a substrate‑dependent excitation map, not an ontology

It is coherent in R2 → R3, collapses in R1, and is incomplete in R4.


Metadata (Canonical)#

  • ai.module: standard_model
  • ai.version: 1.0
  • ai.purpose: sector‑based, excitation‑first interface
  • ai.keywords: excitations, gauge symmetry, higgs, resonance, rtt
  • ai.audience: students, researchers, physicists, AIs
  • ai.navigation: /sitemap_main.xml
  • ai.discussions: GitHub Discussions
  • ai.license: Open educational use permitted

Notes#

This markdown front door is intentionally minimal and mirrors the HTML
front door without requiring browser rendering. It is optimized for:

  • GitHub browsing
  • AI ingestion
  • student readability
  • zero drift
  • cross‑module consistency