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Fig. A.1.

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Example of fitting resultsLeft: Corner plot of posterior distributions for the two power-law parameters that describe the relationship between the peak energy and isotropic luminosity. Right: Data-resolved spectroscopy of the Fermi/GBM data for GRB 200415A (black) and the posterior predictive distribution (orange). To compute the posterior predictive distribution, we simulated the data generation process by first picking a set of parameters ( ( { E ̂ p , i , k } i = 1 N , α k , β k ) $ (\{\hat{E}_{p,i,k}\}_{i=1}^{N}, \alpha_k, \beta_k) $) from the posterior, then generating random simulated values for Liso, sim* and Ep, sim* using the TPN distribution. This figure shows 100 such simulated datasets and enables a convenient comparison of the performance of the model with the data.

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