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Fig. 12
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Inferred model parameters versus input model parameters for case in which spectra have from 1000–10 000 counts spread over 200 bins. The best-fit parameters are derived from a single-round inference of a network trained by 20 000 samples, reduced by the PCA, so that only 90% of the variance in the samples is kept.
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