On Robust $\beta$-Spectra Shape Parameter Extraction

TL;DR

This paper introduces an orthogonal polynomial method for extracting $eta$-shape function parameters, improving stability, comparability, and physical interpretability over traditional polynomial approaches.

Contribution

The paper proposes using orthogonal polynomials for $eta$-shape parameter extraction, addressing issues of correlation and dependency on polynomial order in traditional methods.

Findings

Orthogonal polynomial approach yields more stable coefficients.

Method reduces dependency on polynomial order.

Improves physical interpretability of shape parameters.

Abstract

Experimental extraction of $\beta$-shape functions, C(W), is challenging. Comparing different experimental $\beta$-shapes to each other and to those predicted by theory in a consistent manner is difficult. This difficulty is compounded when different parameterizations of the $\beta$-shape function are used. Usually some form of a power polynomial of the total electron energy is chosen for this parametrization. This choice results in extracted coefficients that are highly correlated, with their physical meaning and numerical value dependent on the order of polynomial chosen. This is true for both theoretical and experimental coefficients, and leads to challenges when comparing coefficients from polynomials of different orders. Accurately representing the highly correlated uncertainties is difficult and subtle. These issues impact the underlying physical interpretation of shape function parameters. We suggest an alternative approach based on orthogonal polynomials. Orthogonal polynomials offer more stable coefficient extraction which is less dependent on the order of the polynomial, allow for easier comparison between theory and experimental coefficients from polynomials of different orders, and offer some observations on simple physical meaning and on the statistical limits of the extracted coefficients.