A Comparative Study of Kernel Ridge Regression and Gaussian Process Regression for Neutron Spectrum Reconstruction with CVD Diamond Sensor

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Journal
Nuclear Science and Engineering
Published
2026-03-16
DOI
https://doi.org/10.1080/00295639.2026.2641299
Primary Topic
Nuclear Physics and Applications
Type
article
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article

A Comparative Study of Kernel Ridge Regression and Gaussian Process Regression for Neutron Spectrum Reconstruction with CVD Diamond Sensor

A. Lyoussi, Nadia Pérot, Jean‐Emmanuel Groetz, Enrica Belfiore et al.
Nuclear Science and Engineering
Nuclear Physics and Applications
article

A Comparative Study of Kernel Ridge Regression and Gaussian Process Regression for Neutron Spectrum Reconstruction with CVD Diamond Sensor

A. Lyoussi, Nadia Pérot, Jean‐Emmanuel Groetz, Enrica Belfiore, Arthur Pellet-Rostaing, Achment Chalil
article en

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No abstract available for this paper.
Nuclear Science and Engineering
CEA Cadarache (FR), Université Marie et Louis Pasteur (FR)
Climate action
Openalex Percentile: Top 18%
Nuclear Physics and Applications
DOISourceOpenAlex
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A Comparative Study of Kernel Ridge Regression and Gaussian Process Regression for Neutron Spectrum Reconstruction with CVD Diamond Sensor — A. Lyoussi, Nadia Pérot, et al. · Nuclear Science and Engineering (2026) | TGRS Research Map | TGRS