Archaieus Integration¶
The Archaieus Autolabeler is a physics-informed plugin for dFL that identifies events and structural features in scalar time-series data by embedding first-principles plasma physics into its detection algorithms.
Unlike purely statistical detectors, Archaieus smooths signals to \(C^5\) continuity before analysis. This ensures stable estimates of up to fourth-order derivatives, even in the presence of moderate diagnostic noise. The smoother suppresses spurious oscillations without erasing physically relevant features, making higher-order feature detection feasible.
Zero-Crossing Hierarchy¶
Archaieus computes the set of zero crossings \(\mathcal{Z}_n\) for derivatives of order \(n=0,1,2,3,4\).
| Order | Definition | Representative Use-Case |
|---|---|---|
| \(\mathcal{Z}_0\) | \(f(t) = 0\) | Crossing of a reference level (e.g., density perturbations crossing baseline, mode amplitude sign changes). |
| \(\mathcal{Z}_1\) | \(f'(t) = 0\) | Detection of local extrema (e.g., peak stored energy before disruption). |
| \(\mathcal{Z}_2\) | \(f''(t) = 0\) | Inflection point detection (e.g., onset of rapid confinement degradation). |
| \(\mathcal{Z}_3\) | \(f^{(3)}(t) = 0\) | Curvature extrema, signaling transition between growth/decay phases of instabilities. |
| \(\mathcal{Z}_4\) | \(f^{(4)}(t) = 0\) | Higher-order changes, useful for subtle precursors in mode chirping or nonlinear saturation. |
These markers form a structured hierarchy of dynamical events, ranging from robust baseline crossings to sensitive higher-order signatures best applied to high-quality diagnostics or simulation outputs.
Advantages and Limitations¶
Advantages
- Encodes conservation laws and scaling relations from plasma physics.
- Robust against diagnostic noise, moderate drifts, and operating point changes.
- Produces interpretable markers aligned with physical dynamics.
Limitations
- Relies on the validity of underlying physics assumptions.
- Higher-order derivatives can be brittle unless signals are well-conditioned.
Example¶
Inflection points automatically detected from plasma density using the Archaieus smoother and second-derivative zero crossings.
When to Use¶
- Lower-order crossings (\(\mathcal{Z}_0, \mathcal{Z}_1, \mathcal{Z}_2\)): general-purpose event detection.
- Higher-order crossings (\(\mathcal{Z}_3, \mathcal{Z}_4\)): advanced feature extraction from smoothed or simulation-based signals.
Archaieus thus provides a reproducible, physics-aligned workflow for detecting precursor phenomena, oscillatory transitions, and subtle waveform changes that might otherwise go unnoticed.
Archaieus Bulk Export¶
The Archaieus bulk export allows users to export all archaieus supported signals as a bulk dataset alongside json metadata files.