Analysis of the Bayesian Cramér-Rao lower bound in astrometry - Studying the impact of prior information in the location of an object

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Fig. 3

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Same as Fig. 1 but with σ_priori = 0.05 arcsec. In this figure and in Fig. 2 we see that while σ_MCR increases without bound as the quality of the observations deteriorate, σ_BCR is bounded by the prior information in accordance with Eq. (29) (see also comments in the text after that equation).

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