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[Paper Review] Evidence for spatial variation of the fine structure constant

John K. Webb, Julian A. King|arXiv (Cornell University)|Aug 23, 2010
Astronomy and Astrophysical Research29 citations
TL;DR

This study presents evidence for spatial variation in the fine structure constant (α), based on Keck and VLT telescope data showing opposing trends: α appears smaller at high redshift in the Keck direction and larger in the VLT direction. The combined dataset reveals a spatial dipole in α with 4.2-sigma significance, pointing toward right ascension 17.5 ± 0.9 hours and declination -58 ± 9 degrees, with no detected systematic effects explaining the pattern.

ABSTRACT

We previously reported Keck telescope observations suggesting a smaller value of the fine structure constant, alpha, at high redshift. New Very Large Telescope (VLT) data, probing a different direction in the universe, shows an inverse evolution; alpha increases at high redshift. Although the pattern could be due to as yet undetected systematic effects, with the systematics as presently understood the combined dataset fits a spatial dipole, significant at the 4.2-sigma level, in the direction right ascension 17.5 +/- 0.9 hours, declination -58 +/- 9 degrees. The independent VLT and Keck samples give consistent dipole directions and amplitudes, as do high and low redshift samples. A search for systematics, using observations duplicated at both telescopes, reveals none so far which emulate this result.

Motivation & Objective

  • To investigate potential spatial variation in the fine structure constant (α) across the sky using high-redshift quasar absorption spectra.
  • To test whether discrepancies between Keck and VLT observations could be attributed to instrumental or systematic effects.
  • To determine if the observed trend in α is consistent across different redshift ranges and sky directions.
  • To assess the statistical significance of a spatial dipole in α and evaluate its robustness against known systematics.

Proposed method

  • Analyzing high-resolution quasar absorption spectra from the Keck and Very Large Telescope (VLT) to measure shifts in atomic transition lines.
  • Using the relative redshifts of different ion transitions to infer variations in α at high redshift (z > 1).
  • Combining Keck and VLT datasets to test for spatial patterns in α, particularly a dipole anisotropy.
  • Applying statistical modeling to quantify the significance of the observed dipole, assuming a dipole model with amplitude and direction parameters.
  • Conducting a systematic error check by analyzing overlapping observations from both telescopes to rule out instrumental or calibration artifacts.
  • Using chi-squared and likelihood ratio tests to compare the dipole model against isotropic and null models.

Experimental results

Research questions

  • RQ1Is there evidence for spatial variation in the fine structure constant across the observable universe?
  • RQ2Do the Keck and VLT datasets show consistent directional trends in α variation?
  • RQ3Could the observed dipole in α be explained by undetected systematic errors in the data or instrumentation?
  • RQ4What is the statistical significance of the observed spatial dipole in α?
  • RQ5Do high-redshift and low-redshift samples yield consistent results in the α variation pattern?

Key findings

  • The combined Keck and VLT datasets show a spatial dipole in the fine structure constant with a significance of 4.2-sigma.
  • The dipole direction is estimated at right ascension 17.5 ± 0.9 hours and declination -58 ± 9 degrees.
  • The Keck data suggest a decrease in α at high redshift, while the VLT data indicate an increase, consistent with a dipole pattern.
  • High- and low-redshift samples from both telescopes yield consistent dipole directions and amplitudes.
  • No systematic effects—identified through duplicated observations at both telescopes—were found to explain the observed α variation.
  • The dipole pattern remains robust under current systematics analysis, suggesting a possible cosmological origin for α variation.

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This review was created by AI and reviewed by human editors.