HSAG
CONSORTIUM
For Resonant Research
Coherence Intelligence for Natural & Engineered Systems
HSAG develops measurement and inference methods that quantify phase‑locked structure across signals and fields. Our products transform spectral signatures into early‑warning and diagnostic intelligence for operational use.
Resonance. Coherence. Discovery.
Why Coherence?
Traditional guidance focuses on amplitudes (flux, CAPE, shear). STELLAR adds a complementary lens: phase‑coherent structure. PCI/BCS metrics quantify when variables remain phase‑locked, and when they begin to decohere—often hours before classical thresholds.
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Early detection of instability windows
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Quantified regime classification (stable ↔ convective ↔ mechanical)
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Low‑overhead deployment, model‑agnostic outputs
Core Methods
HSAG libraries compute cross‑spectral metrics that expose coupling across scales.
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Phase‑Coherence Index (PCI): stability of cross‑variable phase over frequency
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Band‑Coherence Spectrum (BCS): coherent bands exceeding threshold with phase context
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Harmonic Drift: detection of migrating or collapsing resonant peaks
Outputs stream as CSV/JSON or embed into dashboards and AI pipelines.
Operational Research Systems
STELLAR AERIS
(Patent Pending)
Resonance-aware coherence intelligence for complex environmental systems.
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STELLAR AERIS is a coherence-first analysis framework designed to assess when environmental signals are structured enough to trust—before downstream interpretation or decision-making.
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Core capabilities
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Detects large-scale coherence and suppression regimes
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Acts as an upstream gating layer for forecasts and alerts
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Integrates atmospheric, magnetic, and resonant-field data
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Designed for remote sensing, interferometric stability, and complex signal environments
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Live system
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Public CI dashboard demonstrating operational gating in real time
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Uses real NOAA / NHC / NWS feeds
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Explicitly reports uncertainty and BLOCKED states
Resonance Capacity Index — RCI
Diagnostic instruments within STELLAR AERIS
What they measure
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CI: whether environmental signals are structured, repeatable, and non-random
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RCI: how strongly oscillatory suppression limits signal stability
Why they matter
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Measure coherence, not just signal strength
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Identify conditions where interpretation is unreliable
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Prevent overconfidence during noisy or fragmented regimes
Scientific status
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RCI research published with DOI via Zenodo
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Methods and assumptions openly documented
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Designed for simulation and real-world data