A scalable and accurate framework for self-calibrating null depth retrieval using neural posterior estimation

Open Access

Fig. 3

Retrieval of the null depth using NPE (blue) and NSC via MCMC (orange) for mock datasets with true null depths ranging from 0.001 to 0.010 and fixed μ_OPD = 300 nm and σ_OPD = 250 nm. The gray line indicates the one-to-one correspondence. Error bars correspond to the 16^th and 84^th percentiles of the posterior distributions.

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