KIND fuses a Dynamic Mode Decomposition model with a Transformer predictor to estimate SRF cavity detuning from operational data while generating uncertainty signals to flag regime changes.
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KIND: A Kalman-Inspired Adaptive Estimator for SRF Cavity Detuning
KIND fuses a Dynamic Mode Decomposition model with a Transformer predictor to estimate SRF cavity detuning from operational data while generating uncertainty signals to flag regime changes.