A new analysis of fine-structure constant measurements and modelling errors from quasar absorption lines

TL;DR

This study analyzes quasar absorption lines to measure the fine-structure constant, highlighting how modeling choices and systematic errors impact measurement accuracy and precision.

Contribution

It introduces a comprehensive analysis of absorption system modeling effects on fine-structure constant measurements, emphasizing the importance of proper component fitting.

Findings

Insufficient continuum regions increase measurement scatter.

Fitting too few velocity components underestimates errors.

Results support consistency with previous dipole variation reports.

Abstract

We present an analysis of 23 absorption systems along the lines of sight towards 18 quasars in the redshift range of $0.4 \leq z_{abs} \leq 2.3$ observed on the Very Large Telescope (VLT) using the Ultraviolet and Visual Echelle Spectrograph (UVES). Considering both statistical and systematic error contributions we find a robust estimate of the weighted mean deviation of the fine-structure constant from its current, laboratory value of $\Delta\alpha/\alpha=\left(0.22\pm0.23\right)\times10^{-5}$, consistent with the dipole variation reported in Webb et al. and King et al. This paper also examines modelling methodologies and systematic effects. In particular we focus on the consequences of fitting quasar absorption systems with too few absorbing components and of selectively fitting only the stronger components in an absorption complex. We show that using insufficient continuum regions around an absorption complex causes a significant increase in the scatter of a sample of $\Delta\alpha/\alpha$ measurements, thus unnecessarily reducing the overall precision. We further show that fitting absorption systems with too few velocity components also results in a significant increase in the scatter of $\Delta\alpha/\alpha$ measurements, and in addition causes $\Delta\alpha/\alpha$ error estimates to be systematically underestimated. These results thus identify some of the potential pitfalls in analysis techniques and provide a guide for future analyses.