Maximum-likelihood refinement is a statistical approach used in crystallography to improve the accuracy of crystal structure models by maximizing the likelihood of observing the experimental data given the model. This method involves comparing the calculated diffraction patterns from a model to the actual observed patterns, allowing for more precise adjustments to atomic positions and thermal parameters. By optimizing the model based on this likelihood framework, researchers can obtain more reliable structures.
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