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Tensor Solar Flare Classifier

Binary 24-hour forecast of M-class solar flares from the unified state tensor. No accuracy figure is quoted.

Headline metric
Research
n=70 real GOES X-ray flux labels; a C-class flare within 24 h is common, so a hit rate would measure coverage, not skill
Status
LIVE
every-15-min predictor; Sunday C-class retrain
Designed for
Satellite operators, aviation, grid operators, HF comm, space insurance
Request engagement Methodology Verify on ledger ← All products

What it does

Scores the probability of a >=C-class X-ray flare in the next 24 hours given the current tensor state. Trained on real NOAA SWPC GOES flux outcomes, not synthetic forcings.

Physics basis

Inputs include SWPC solar-wind parameters (IMF Bz, proton density, Kp), ACE L1 spacecraft data, cosmic-ray muon modulation, Schumann-resonance response to precipitating particles, ionospheric TEC, and SDO active-region tracking where available.

When it fires

Every 15 minutes. High-confidence predictions (prob >=0.40) are logged to the ledger as tensor_solar_flare_classifier.

What the customer receives

  • Probability estimate every 15 min for >=M-class flare in next 24 h
  • Optional >=C-class variant for high-cadence warning (lower threshold)
  • Integrated Kp + aurora extent forecast
  • SHA-256 signed ledger entries

Operational numbers (live)

68%
Base rate in training window

Engagement paths

Per-query, subscription, territorial-exclusive, and royalty-on-find structures are all available. Specific commercial terms are scoped after a technical-fit conversation.

Honest caveats

  • Label temporal correlation is high because a single active solar region produces many flares in sequence; effective independent sample count is lower than n=70.
  • Base rate shifts with solar cycle phase -- a score measured during solar maximum does not transfer one-for-one to solar minimum.
  • 24-hour lead time is shorter than the longest-lead-time flare classifiers (up to 72h).
Ready to talk?
Michael Jessop: michael@deepmapai.com · partner portal