Figure 3.

Schematic representation of a classical scaling algorithm. Scale factors, K, are initialized to K = 1 for each image and are iteratively optimized until convergence. The top left plot shows observed reflection intensity values on ten diffraction images; each color represents a distinct Miller index h. The middle left panel is a swarm plot of the observed reflection intensities (I _h,i ) for each Miller index h. Optimal scale factors are found by iteratively merging, optimizing K and correcting the unmerged reflections from the previous iteration. The algorithm iterates until the convergence of the objective function (equation 4) is achieved. The rightmost plots show the final values of the scaled intensities ( ) as a function of image number (top) or Miller indices (middle) and the optimal values of the scale factors K (bottom).