Uncertainty band evaluation of optical potentials and differential cross-sections. Application to $^8$Li + $^{58}$Ni elastic scattering
O. C. B. Santos, J. G\'omez-Camacho

TL;DR
This paper introduces a statistical method to evaluate uncertainty bands in optical potentials and differential cross sections, applied to $^8$Li + $^{58}$Ni elastic scattering, enhancing the reliability of nuclear scattering models.
Contribution
The paper presents a novel statistical approach combining $ ext{chi}^2$ minimization, Bayesian inference, and sampling to quantify uncertainties in optical model predictions.
Findings
Uncertainty bands of 1$\sigma$ and 2$\sigma$ are obtained for optical potentials and cross sections.
The general and simplified approaches yield similar results in the case studied.
The method can be applied to complex scattering calculations for uncertainty quantification.
Abstract
A statistical method is presented to evaluate the uncertainty bands in the optical nucleus-nucleus potential and in differential cross sections. The starting point is the least square fit of a set of experimental values of elastic differential cross sections, varying the relevant optical potential parameters. This is done using standard minimization codes, that provide the covariance matrix of the parameters. A maximum likelihood exploration of the surface in parameter space allows to determine the covariance matrix of the parameters associated to a contour of a given value. Bayes theorem allows to assign probabilities (p-values) to the regions in parameter space, characterized by contours. The method allows to obtain uncertainty bands of an arbitrary observables associated to a given p-value using two approaches. The general approach determines the…
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Taxonomy
TopicsElectromagnetic Compatibility and Measurements · Microwave and Dielectric Measurement Techniques · Integrated Circuits and Semiconductor Failure Analysis
