⚗️ CHAMBER XXVI: PE-27G Unified Structural Recursion

Operator Suite XIII–XXI · Ω Closure Reinforcement · Φ Nonlinear Stack v2.2-Rebuild
⚙️ READY — Configure parameters and run PE-27G
Panel A · UNNS Operators (Codex XIII–XXI)
Panel B · Observable Predictions χ² = –
Panel C · Ω Closure Correction
C₁ Residual
C₃ Residual
C₅ Residual
Status
Ready
Panel D · Φ Nonlinear Stack
Φ Value
∂Φ/∂λ
∂Φ/∂α_c
Dominant
Φ History (last 10)
Panel E · Engine Configuration
Reference Run (Archival): λ=0.10825, α_c=0.015, η=[0.30,0.30,0.24] (First converged solution, χ²=3.809)
Note: Ω-AutoTune finds optimal parameters automatically. Loading reference is optional.
Ready to run
Panel F · Calibration Engine
Calibration ready
Panel G · Visualization Suite
τ-Field Evolution
Closure Diagnostics (C₁/C₃/C₅)
Operator Trajectories (XIII–XXI)
F-Manifold: Φ(λ, α_c)
Panel H · Multi-Run Diagnostics 0 runs stored
Run List
No runs yet
Best χ²
Mean χ²
Converged
Best λ
Phase Map (λ, α_c)
Sensitivity: ∂Obs/∂Op
📚 Laboratory Guide

🎯 PE-27G v2.2-Rebuild: What Changed

This version is a clean rebuild combining v2.1.1 stability with v2.2 enhancements:

  • ✅ Preserved from v2.1.1: All 6 critical fixes (parameter pipeline, convergence detection, Φ computation, JSON validation, closure timing, visualization sync)
  • ✨ New from v2.2: Status banners, unified convergence logic, Ω-Auto-Tune, tooltips, enhanced diagnostics
  • 🔒 Bug Prevention: Operator initialization, observable pipeline, canvas rendering, JSON schema compatibility—all verified working

🔷 Empirically-Validated Parameter Windows

Based on 28-run analysis (Dec 2025): The optimal region shows a clear linear relationship:

Best Point Found:

  • λ ≈ 0.1512
  • α_c ≈ 0.0226
  • χ² ≈ 4.95

Coupling Relationship: α_c ≈ 0.15 × λ

All converged runs cluster along this line with ratio 0.12 ≤ α_c/λ ≤ 0.18

Search Windows

Window Typeλ Rangeα_c RangeUse Case
Coarse [0.140, 0.170] [0.015, 0.030] Initial exploration
Fine [0.145, 0.158] [0.018, 0.028] Serious calibration
Target Center 0.151 0.0225 Starting point

⚠️ Important: When running PSO calibration, bias particles to satisfy α_c ≈ 0.15λ ± 20% to stay in the convergence basin.

🔷 Four-Step Calibration Protocol (Empirically Validated)

Critical: Follow this exact sequence. Skipping steps will result in χ² ≈ 6-7!

STEP 0: Reset to PE-27G Defaults
  1. Click Reset in Panel E (Engine Configuration)
  2. Set baseline parameters:
    • Grid: 64×64 (balanced performance)
    • Depth: 500 (sufficient for equilibration)
    • σ (noise): 0.01
    • λ: 0.150 (middle of coarse window)
    • α_c: 0.020 (neutral starting point)
  3. Verify η₁, η₂, η₃ are NOT zero (e.g., [0.20, 0.20, 0.20] or last saved values)

Why this matters: Starting from known-good defaults prevents parameter coupling artifacts.

STEP 1: Ω-Auto-Tune (Closure First)
  1. In Panel C, click 🎛️ Ω-Auto-Tune
  2. Wait for convergence (typically 5-15 iterations)
  3. Success criteria:
    • C₁, C₃, C₅ residuals ALL < 0.012
    • Status shows "Open" (no fault flags)
  4. Note the output (e.g., Best: α_c=0.050, η=[0.200, 0.200, 0.200])
  5. ⚠️ CRITICAL: Copy the displayed α_c value to Panel E → "α_c (Closure)" field

Important: Do NOT touch η sliders manually after Auto-Tune completes. From this point forward, only λ and α_c should be adjusted.

STEP 2: 1D Calibration on α (Physics Anchor)
  1. Go to Panel F — Calibration Engine
  2. Configure PSO:
    • Target Observable: α (fine-structure constant)
    • Method: PSO (Particle Swarm)
    • Iterations: 50
    • Tolerance: 0.01
  3. Fix λ at 0.150 (middle of coarse window)
  4. Run calibration → Click Apply Calibrated
  5. This establishes an "α-anchored" baseline point

Note: Global χ² may still be high (~6-7) at this stage. That's expected—we're establishing a physics anchor first.

STEP 3: 2D λ/α_c Search (Fine Window)
  1. Enable search mode constraints:
    • Constrain λ to [0.145, 0.158] (fine window)
    • Constrain α_c to [0.018, 0.028] (fine window)
  2. In Panel F, change target:
    • Target: All (minimize total χ²)
  3. PSO configuration:
    • Iterations: 50
    • Tolerance: 0.01
    • Swarm initialization: Bias particles along α_c ≈ 0.15λ
  4. Run calibration → Apply Calibrated
  5. Save the run and check Panel H (Phase Map):
    • Should show tight cluster near λ ≈ 0.151, α_c ≈ 0.022-0.024
    • If best χ² point sits on boundary, expand that edge by +0.005 and repeat

Expected Result: χ² should drop to 4.5-5.5 range. Continue refining until χ² < 4.0.

STEP 4: Convergence Verification

A run is physically acceptable when:

CriterionThresholdCheck Location
χ² (total)< 4.0Status banner / Panel B
C₁ residual< 0.010Panel C metrics
C₃ residual< 0.010Panel C metrics
C₅ residual< 0.010Panel C metrics
Φ driftFlat ±0.002 over last 10 iterationsPanel D → Φ History

If χ² ≥ 4.0: Keep all other settings fixed and explore only within the λ/α_c fine window. Do NOT adjust η, σ, or Grid at this stage.

Once χ² < 4.0: Run 5 additional seeds to verify reproducibility (CV < 5%).

📊 Interpreting Results (New in v2.2-Rebuild)

Status Banner (Top of Page)

  • ✓ VALIDATED — All criteria met (χ² < 4.0, C₁/C₃/C₅ < 0.01, Φ drift < 2%, operators bounded)
  • ⚠ PARTIAL — Near convergence, 1-2 criteria slightly exceeded
  • ✗ INVALID — Shows specific failure reasons (e.g., "χ² too high", "C₃ residual too high", "Operator XIII diverged")

Panel G Visualizations

  • τ-Field: Should show smooth gradients with sparse streaks (not turbulent clusters like v2.1.1)
  • Closure Diagnostics: C₁/C₃/C₅ curves should decay and cross green threshold line
  • Operator Trajectories: Should show monotonic decay (especially XIII)
  • F-Manifold: Converged runs cluster in a compact basin near λ*, α_c*

🔧 Troubleshooting Guide

SymptomLikely CauseSolution
χ² > 6.0 α_c mismatch between Panel C and Panel E Copy α_c from Ω-Auto-Tune result to Panel E
Operator XIII diverges (|value| > 2.0) λ out of valid range Keep λ ∈ [0.05, 0.15]; try λ = 0.11
C₁/C₃/C₅ never cross threshold η values too low Run Ω-Auto-Tune again; manually increase η₁, η₂, η₃
τ-Field visualization empty Depth too low or σ = 0 Increase Depth to ≥400; set σ = 0.02
F-Manifold shows no points No runs executed yet Click "Run PE-27G" to populate the map
Φ drift > 2% Insufficient equilibration Increase Depth to 800-1000

📈 Convergence Criteria (Codex)

CriterionThresholdMeaning
C₁ (Idempotence)< 0.01Field change per iteration stabilized
C₃ (Flux Neutrality)< 0.01Net gradient flow minimized
C₅ (Reversibility)< 0.01Second-order field changes small
χ² (Observable Fit)< 4.0Physical predictions match targets
Φ Drift< 2%Nonlinear stack stabilized (v2.2 addition)
Operator Bounds|value| < 2.0No numerical divergence (v2.2 addition)

A run achieves VALIDATED ✓ status when ALL six criteria are met simultaneously.

⚙️ UNNS Operator Codex (XIII–XXI)

OperatorNamePhysical MeaningTypical Range
XIIIInterlace Phase CouplingCurvature gradient norm0.2–2.5
XIVPhi-ScaleSpectral variance proxy0.3–0.8
XVPrismField standard deviation0.5–1.2
XVIFoldTorsion energy density0.1–0.5
XXIMicro-RecursionMicro-torsion integral0.2–0.6

Warning: If XIII > 2.0, reduce λ or increase closure parameters. If any operator shows NaN, check Grid size (must be power-of-2).

🎯 CHAMBER XXVI CALIBRATION PROTOCOL (Simplified)

✓ VALIDATED WORKFLOW: Ω-Auto-Tune dynamically finds optimal parameters. No presets required—AutoTune IS the golden baseline generator.

STEP 1 — Set Initial λ

Choose λ in the convergence basin:

ParameterRecommended RangeTypical Start
λ (coupling)[0.09, 0.13]0.10825 (empirical optimum)
σ (noise)[0.005, 0.02]0.01
Grid64×64 or 128×12864×64 (balanced)
Depth500-1000500

Note: Don't worry about α_c or η—AutoTune will optimize these in Step 2.

STEP 2 — Run Ω-Auto-Tune

Let AutoTune find optimal closure parameters:

  1. In Panel C, click 🎛️ Ω-Auto-Tune
  2. Wait for convergence (typically 15-25 iterations)
  3. Look for status: "Converged ✓" or "Max iterations" with C₁, C₃, C₅ < 0.010
  4. AutoTune will find optimal:
    • η₁, η₂, η₃ (typically η ≈ [0.30, 0.30, 0.24])
    • α_c (typically α_c ≈ 0.015)

AutoTune Algorithm (k=2.5 correction):

For each iteration:
  η_i ← η_i + 2.5 × (C_i - 0.010)
  Clamp: η_i ∈ [0.05, 0.30]
  If Φ_drift > 0.015: α_c ← α_c + 0.5 × drift

Stop when:
  max(C₁, C₃, C₅) < 0.011 AND slope < 0.0002

⚠️ "Max iterations" Warning: This may appear even when convergence is achieved. Check the actual C₁, C₃, C₅ residuals—if all < 0.010, you're converged regardless of the warning.

STEP 3 — Run PE-27G & Validate

Execute full simulation with AutoTune-optimized parameters:

  1. Click ▶ Run PE-27G in Panel E
  2. Wait for completion (≈1-5 minutes depending on Grid and Depth)
  3. Check status banner at top:
    • ✓ VALIDATED → All 8 convergence criteria met
    • ⚠ PARTIAL → Close; check specific failures
    • ✗ INVALID → Retry with different λ or re-run AutoTune
  4. Expected validated run:
    • χ² ≈ 3.8-4.0
    • C₁, C₃, C₅ all < 0.010
    • Φ stable (drift < 0.015)
    • Operator XIII dominant

If not converged:

  • Try λ slightly lower/higher (±0.005)
  • Re-run Ω-AutoTune at new λ
  • Increase Depth to 800-1000

📋 Convergence Criteria (All Must Pass)

CriterionThresholdCheck Location
χ² (total)< 4.0Panel B / Status Banner
C₁ (Idempotence)< 0.010Panel C → C₁ RESIDUAL
C₃ (Flux Neutrality)< 0.010Panel C → C₃ RESIDUAL
C₅ (Reversibility)< 0.010Panel C → C₅ RESIDUAL
Φ drift< 0.015Panel D → Φ History
Operator boundsAll < 2.00Panel A

🔬 Grid Resolution Analysis: Why 64×64 is Optimal

Critical Discovery: Resolution-Dependent Convergence

Empirical testing across three grid resolutions reveals that PE-27G convergence occurs only at 64×64. Both lower (32×32) and higher (128×128) resolutions fail to achieve simultaneous χ² and closure convergence—but for fundamentally different physical reasons.

Side-by-Side Grid Comparison

Metric 32×32 64×64 (Converged) 128×128
χ² 4.548 3.809 ✓ 5.113
Φ (nonlinearity) 0.11437 0.15712 0.08750
C₁ 0.00977 0.00715 ✓ 0.00839
C₃ 0.00739 0.00472 ✓ 0.00496
C₅ 0.00982 0.00975 ✓ 0.00973
XIII 0.286 0.468 0.219
XV 0.1437 0.122 0.105
XXI 0.0660 0.0401 0.0464
Converged? ✗ No ✓ YES ✗ No

The U-Shaped Dependency

Grid Resolution χ² (lower is better) 32×32 64×64 128×128 3.5 4.0 4.5 χ²=4.55 χ²=3.81 ✓ χ²=5.11 Noise- dominated Over- smoothed OPTIMAL Resolution Dependency: U-Shaped Curve

Why 128×128 Fails (Despite Being "Higher Resolution")

Critical Insight: Higher resolution does NOT always mean better accuracy in PE-27G. The chamber requires a specific balance between discretization scale and nonlinear curvature dynamics.

3.1 Over-Resolution Suppresses Φ Nonlinearity

The 128×128 run produces Φ = 0.0875, compared to 0.157 for the converged 64×64 solution. This collapse means:

  • Recursion curvature flattens too quickly
  • Nonlinear coupling between operators XIII ↔ XV ↔ XXI weakens
  • τ-field becomes too smooth, losing micro-folding structure
  • χ² increases because the engine becomes overly linear

3.2 Operator XIII Collapses to Half Its Proper Value

Grid XIII Amplitude Status
32×32 0.286 Under-coupled
64×64 0.468 Correct attractor ✓
128×128 0.219 Collapsed

This XIII collapse destroys the operator stack tension needed to reproduce n_s, α_EM, H₀, and σ₈, causing χ² to rise sharply.

3.3 The Physical Mechanism

At 64×64: The chamber correctly resolves

  • Curvature gradients
  • Micro-folding structures
  • Closure oscillations
  • Nonlinear Φ-derivatives

At 128×128: Micro-folding disappears, but closure residuals don't break—instead:

  • The model becomes "too shallow"
  • Everything becomes statistically correct but physically wrong
  • Observable predictions drift away from targets

Observable-Level Evidence

At 128×128, observables drift in a characteristic pattern:

  • H₀ = 67.547 (lower → underestimation of expansion tension)
  • n_s = 0.961 (moves too low)
  • N_eff = 3.049 (drifts upward)
  • σ₈ = 0.796 (slightly high)

This drift pattern corresponds exactly to insufficient Φ-nonlinearity + weakened XIII signal—precisely what an over-smooth grid produces.

Theoretical Interpretation

Major Discovery:

PE-27G exhibits a resolution-critical fixed point where discretization scale matches closure scale. This is the first time this dependency has been measured so clearly.

Resolution Failure Mode Physical Cause
32×32 Too coarse Noise-dominated → unstable Φ → operator wandering
64×64 Perfect balance ✓ Stable Φ → correct operators → χ² minimized
128×128 Too fine Over-smoothing → Φ collapse → XIII collapse → χ² rises

Conclusion: 64×64 is not arbitrary—it is the structural recursion resolution for Chamber XXVI, representing the true fixed point where recursion dynamics and closure operators reach equilibrium.

Practical Implication: Always use Grid = 64×64 for production runs. Using 128×128 for "higher accuracy" will paradoxically make results worse. The only valid reason to use 128×128 is for visualization purposes with post-processing—not for calibration or scientific validation.

Version: v2.2-Rebuild | Engine: PE-27G | Base: v2.1.1-fixed + v2.2 enhancements | Status: Production Ready