🌐 Composition Diagnostic — Atmosphere Module

TriadicFrameworks Canon

The Composition Diagnostic evaluates atmospheric mixture structure across micro → meso → macro → mega scales. It interprets gas mixture balance, particulate noise, humidity consistency, and trace‑gas stability. It is the human‑readable companion to:

• composition_diagnostic.json
• composition_diagnostic.min.json
• composition_diagnostic.schema.json
• composition_diagnostic.example.json
• composition_map.md
• composition_envelope.md
• composition_trace.md

1. Diagnostic Purpose#

The Composition Diagnostic provides:

• mixture interpretation
• gas‑balance evaluation
• particulate noise assessment
• humidity consistency analysis
• trace‑gas stability detection
• operator‑aligned composition signatures
• clarity and stability scoring

It is used by envelopes, maps, and traces to determine compositional behavior.

2. Composition Fields#

Gas Mixture#

• nitrogen
• oxygen
• argon
• CO₂
• trace gases

Particulates#

• particulate concentration
• aerosol noise
• pollution contribution

Humidity#

• relative humidity
• moisture balance
• cloud microphysics contribution

Trace Gases#

• ozone
• methane
• reactive species

3. Operator Alignment#

Composition Operators#

• gas_mix_alignment
• humidity_consistency
• particulate_balance
• trace_gas_stability

Continuity Operators#

• composition_continuity
• gradient_continuity

Coherence Operators#

• composition_coherence
• low_noise_signature

Clarity Operators#

• clarity_threshold
• noise_reduction

Dimensional Operators#

• micro → meso mixture scaling
• meso → macro mixture alignment

Drift Operators#

• instability propagation
• mixture drift detection

Paradox Operators#

• conflicting mixture signals
• inversion contradictions

Resonance Operators#

• oscillatory mixture behavior
• harmonic mixture alignment

4. Thresholds#

• clarity_min: 0.7
• stability_min: 0.6
• particulate_max: 50

Thresholds determine regime classification and operator activation.

5. Regime Zones#

Stable#

• coherent gas mixture
• low particulate noise
• consistent humidity
• stable trace‑gas distribution

Transition#

• partial mixture shift
• humidity gradient change
• trace‑gas variability
• moderate particulate noise

Unstable#

• gas mixture breakdown
• high particulate noise
• humidity collapse
• trace‑gas instability

6. Diagnostic Output#

The Composition Diagnostic produces:

Clarity#

• high
• medium
• low

Stability#

• stable
• transition
• unstable

Signature#

• gas_mix_alignment
• low_particulate_noise
• trace_gas_consistency
• humidity_balance

Operators Triggered#

• composition
• continuity
• coherence
• clarity

7. Example#

See composition_diagnostic.example.json for a complete example input/output pair.

8. Status#

Composition Diagnostic is:

• canon‑aligned
• structurally complete
• operator‑aligned
• schema‑compatible
• ready for diagnostic integration