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AI Architecture › L2 · Data Fabric
L2 · Data Fabric

The Diagnostics Constellation

Eight diagnostic families — from Thomson scattering to neutron flux — form the constellation the Data Fabric fuses into a single coherent picture of each machine.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L2 · DATA FABRICTelemetry, validation, and the machine's memory.160+ Port Telemetrysensor bus2Signal Validationrange & sanity3Feature Engineeringderived signals4Time-Series Archivefull history5Feature Storetraining-ready6Vector DBembeddings for RAGMACHINE TIEIngests from diagnostics; serves the twin (L3) and copilots (L5).KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORDATA FABRICSHEET 04REV. 2026-08L2 · AI-NATIVE STACK
L2 · Data Fabric — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

One constellation, many eyes

No single diagnostic sees a fusion plasma completely. The fabric fuses a constellation of complementary diagnostics, each strong where others are weak, into one coherent state estimate. The redundancy is deliberate: it enables cross-validation, dead-sensor imputation, and honest uncertainty. The families are Thomson scattering, interferometry, Mirnov coils, flux loops, REBCO strain gauges, ECE, fast-ion trackers, and neutron flux.

What each family contributes

Fusion, not a list

The constellation's power is in fusion. Density from interferometry and Thomson constrain each other; magnetics from Mirnov and flux loops feed one equilibrium; neutron flux anchors the instantaneous Q. The fabric's multi-modal fusion (see sensor fusion) is what makes the whole exceed any part.

Tuned per machine

The breeder (Hyperion) leans on magnetics and profiles for equilibrium and disruption; the burner leans on density, potential, and DEC-train diagnostics for the plug and ambipolar physics. The same constellation framework serves both, with the mix set by each machine's control problems.

Content reviewed August 2026 · design-and-simulation stage