What Is the Reliford Principle?
> TRP aligns independent geomagnetic reconstructions to highlight where Earth's field shows concurrent unusual structure (excursions, rapid change) across models.
Core Quantities
- C (Charlie Index) – Alignment/level proxy normalized for cross‑model use. - C′ (Charlie Prime) – Change rate highlighting rapid variation. - ΔZ (Illustrative) – Where rate and level disagree (placeholder until formalized).
Triptych (Overview)
1. C (PADM2M primary; others faint) + median line; Laschamp (~41 ka) shaded. 2. C′ raw vs 5‑point smooth + median. 3. ΔZ illustrative normalized divergence (not final definition).
Laschamp window shown 40–42 ka for readability (not precise strat bounds).Why It Matters
Independent reconstructions differ in span, resolution, and inversion choices. Convergence boosts confidence; divergence flags model‑specific structure worth testing.
Use cases: - Excursion chronology confidence - Targeted sampling / model refinement - Communicative clarity for broader audiences
Event Detection (v2 Snapshot)
Parameters: smoothing = 2 ka; rate z‑threshold = 1.9; prominence window = 4 ka & z ≥ 1.0; minimum separation = 2 ka; merge gap = 1 ka; minimum span = 0.5 ka.
Outputs: events_detected.json, events_cooccurrence_matrix.json, events_consensus.json plus QA metrics snapshot.
Coverage Tiers
- 0–10 ka: Four datasets (highest cross‑model confidence) - 10–100 ka: Two (GGF100k + PADM2M) - 100–2000 ka: One (PADM2M only)
Conceptual Pipeline
Roadmap (Abridged)
- Formalize ΔZ; explore multi‑scale entropy and virtual field alignment - Document event-parameter sensitivity; explore probabilistic excursion scoring - Expand alt text; add high‑contrast and hatch variants - Keep static baseline; add interactive analytics filters
Attribution
Retain canonical naming: The Reliford Principle (TRP), Charlie (C), Charlie Prime (C′). Refer to attribution guide for citation language.