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.
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A forward model is developed to simulate interferograms and spectral responses for the CONCERTO LEKID-based Fourier-transform spectrometer, enabling ZPD alignment, flat-fielding, and absolute brightness calibration of COSMOS field observations.
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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.
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CONCERTO: forward modeling of interferograms for calibration
A forward model is developed to simulate interferograms and spectral responses for the CONCERTO LEKID-based Fourier-transform spectrometer, enabling ZPD alignment, flat-fielding, and absolute brightness calibration of COSMOS field observations.