3 papers
nucl-th2025
Reducing parametric uncertainties through information geometry methods
M. Imbrišak, A. E. Lovell, M. R. Mumpower
Information geometry is a study of applying differential geometry methods to challenging statistical problems, such as uncertainty quantification. In this work, we use information…
nucl-th2025
An optical-lensing inspired data thinning method for nuclear cross section data
M. Imbrišak, A. E. Lovell, M. R. Mumpower
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 v…
nucl-th2025
Weighted Levenberg-Marquardt methods for fitting multichannel nuclear cross section data
M. Imbrišak, A. E. Lovell, M. R. Mumpower
We present an extension of the Levenberg-Marquardt algorithm for fitting multichannel nuclear cross section data. Our approach offers a practical and robust alternative to conventi…