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Method Sensitivity

To compare the different approaches to evaluation in more detail, we define sensitivity as the mean slope of a measure over the range investigated divided by the mean uncertainty in the measure - that is the smallest misregistration that can just be detected. The sensitivities of the different methods evaluated are plotted below, and demonstrate that the model-based approach with a shuffle radius between 1.5 and 2.4 is the most sensitive.

3#3 = 31#31