Uncertainty minimization in electronic stopping cross-section measurements using the backscattering method
Victor Pires, Arilson Silva, Cleber L. Rodrigues, Nemitala Added, Manfredo H. Tabacniks, Tiago F. Silva, Flávio Matias, Helio Yoriyaz, Julian Shorto
TL;DR
This work tackles the lack of uncertainty budgets in backscattering-based electronic stopping cross-section measurements by introducing a quantitative, uncertainty-aware framework for optimizing experimental geometry. The method leverages two paired backscattering configurations and a covariance-based uncertainty propagation to extract $[\epsilon]_{in}$ and $[\epsilon]_{out}$ with quantified random and systematic contributions, benchmarked against SRIM and ICRU-49. A key contribution is the explicit treatment of correlation between entry and exit-path measurements and a numerical geometry optimization that minimizes the total uncertainty $\sigma_{total}$. The approach enables sub-$3\%$ total uncertainties for He in Au thin films across a wide energy range, enhancing the reliability and traceability of RBS-derived stopping data for model validation and reference purposes. Practically, the framework provides a principled recipe for planning high-precision stopping-power measurements and highlights the trade-offs between random and systematic errors inherent in backscattering geometries.
Abstract
Accurate determination of electronic stopping cross sections is critical for ion beam analysis and related applications. While transmission methods are well established, backscattering approaches remain less explored from a metrological perspective, often lacking a systematic treatment of uncertainties. In this work, we present a quantitative framework to optimize experimental geometry in backscattering-based stopping measurements, explicitly accounting for both statistical and systematic errors. Applying the method to helium ions in gold thin films, we identify angular conditions that balance precision and accuracy, achieving total uncertainties below 3\% over a wide energy range. The results, benchmarked against SRIM and ICRU-49, demonstrate that our approach improves the reliability of RBS-derived stopping data and strengthens their use for reference purposes and model validation.
