Study of the Log-third-difference method for the computation of even-odd staggering in fission yields

TL;DR

This paper evaluates the Log-third-difference method for calculating even-odd staggering in fission yields, identifying its limitations with sharp features and proposing improvements like iterative application and multi-Gaussian fitting.

Contribution

It provides a detailed analysis of the Log-third-difference method's performance and introduces strategies to enhance its accuracy near sharp features in fission yield data.

Findings

Iterative application improves accuracy.

Multi-Gaussian fit enhances precision at peaks.

Method remains effective in smooth regions.

Abstract

The even-odd staggering in fission fragments yield distributions is an important observable to address the role of intrinsic excitations in the fission process. However, its computation as a function of the fragment split is an ill-posed problem that is usually solved through certain assumptions. Arguably, the most widely used method for its computation is the Log-third-difference method, which assumes an underlying local Gaussian distribution. Experimental data of the even-odd effect show sharp features and peaks that are a challenge for the Log-third difference method (or any method for that matter). This paper presents a detailed study of the performance of the Log-third difference method and describes three strategies for improving the precision and accuracy around these sharp features. The best results are obtained with an iterative application of the method and with the use of a multi-Gaussian fit. In regions with a smooth behaviour, the direct application of the Log-third-difference method remains the best option.