The method couples Bayesian spectral deconvolution with a Gaussian process physical-property regression layer to select peak models consistent with auxiliary measurements, recovering meaningful structures missed by spectrum-only inference.
A linear sum of the Gaussian functions was used as the spectral 53 Figure 26: Top-ranked models and the fFE at๐=0.01
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Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
The method couples Bayesian spectral deconvolution with a Gaussian process physical-property regression layer to select peak models consistent with auxiliary measurements, recovering meaningful structures missed by spectrum-only inference.