Mathematical Crystallography
Background subtraction is a technique used in imaging to enhance the visibility of specific signals by removing unwanted background noise. This method is particularly important in reciprocal space mapping techniques, where it helps in isolating the desired diffraction peaks from the underlying background signal, allowing for clearer analysis of the crystallographic data.
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