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arXiv · 2508.19470

An optical-lensing inspired data thinning method for nuclear cross section data

M. Imbrišak·A. E. Lovell·M. R. Mumpower
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Abstract

In the study of nuclear cross sections, the computational demands of data assimilation methods can become prohibitive when dealing with large data sets. We have developed a novel variant of the data thinning algorithm, inspired by the principles of optical lensing, which effectively reduces data volume while preserving critical information. We show how it improves fitting through a toy problem and for several examples of total cross sections for neutron-induced reactions on rare-earth isotopes. We demonstrate how this method can be applied as an efficient pre-processing step prior to smoothing, significantly improving computational efficiency without compromising the quality of uncertainty quantification.

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M. Imbrišak, A. E. Lovell, M. R. Mumpower. 2025-08-26. An optical-lensing inspired data thinning method for nuclear cross section data. https://arxiv.org/abs/2508.19470

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