A lensing-inspired binning method that selects one measurement per bin to thin dense nuclear cross section data, yet its toy-model tests show biased parameter estimates.
Cardinali, Observation influence diagnostic of a data assimilation system, in Data Assimilation for Atmo- spheric, Oceanic and Hydrologic Applications (Vol
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An optical-lensing inspired data thinning method for nuclear cross section data
A lensing-inspired binning method that selects one measurement per bin to thin dense nuclear cross section data, yet its toy-model tests show biased parameter estimates.