Maximum likelihood refinement is a statistical method used in crystallography to improve the accuracy of structure determination by maximizing the probability of observed data given a model. This approach involves iteratively adjusting model parameters to find the best fit to the experimental data, thereby enhancing phase determination and resulting in more reliable structural information. It plays a crucial role in connecting observed diffraction data to the three-dimensional arrangement of atoms in a crystal.
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