Fig. 1

Graphical model representing the hierarchical Bayesian scheme that we used to analyze the set of Stokes signals in the quiet Sun. Open circles represent random variables (note that both model parameters and observations are considered as random variables), while the gray circle represents a measured quantity. Everything inside the frame “Pixel i” has to be repeated for all the observations. An arrow between two nodes illustrates dependency. The nodes that are outside the frame are the hyperparameters of the model and are common to all pixels.
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