Reconstruction and resolution improvement of Mock I. Note the different color bars for the maps on the left and right, respectively. The GMM is trained with K = 9 Gaussians, and the predictions are determined from the CPD marginalized over the respective Mock I data set. Panel a: prediction of Mock I. Panel b: difference between the original Mock I map and the prediction, rms = 0.05. Panel c: smoothed map of Mock I. Panel d: difference between the original Mock I map and the smoothed one, rms = 0.23. Panel e: prediction of the smoothed Mock I map. Panel f: difference between the original Mock I map and the prediction based on the smoothed one, rms = 0.17.
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