Stable Algorithm for Extraction of Asymmetries from the Data on Polarized Lepton-Nucleon Scattering

TL;DR

This paper introduces a new stable algorithm for extracting asymmetries from polarized lepton-nucleon scattering data, which is robust to setup and acceptance variations, along with a statistical data quality test.

Contribution

The paper presents a novel algorithm that improves the stability of asymmetry extraction in polarized scattering experiments and includes a data quality assessment method.

Findings

Algorithm is stable against acceptance variations

Provides a statistical test for data quality

Enhances reliability of asymmetry measurements

Abstract

A new algorithm for extraction of asymmetries from polarized lepton-nucleon scattering data is proposed. The algorithm is stable to set-up acceptance and/or luminosity monitor acceptance variations. A statistical test for checking the data quality is proposed.