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Mapping data sensitivities in global QCD analysis with linear response and influence functions
Global QCD analyses provide the primary framework for extracting hadron structure from experimental data, yet the mechanisms by which data constrain non-perturbative functions are difficult to quantify and interpret due to the complexity of these fits. Here we adapt linear response and influence fun
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