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Related Experiment Videos

Statistical invalidation of the Hubble law.

J F Nicoll1, D Johnson, I E Segal

  • 1University of Maryland, College Park, Maryland 20742.

Proceedings of the National Academy of Sciences of the United States of America
|November 1, 1980
PubMed
Summary

This study challenges the Hubble law, finding that a square redshift-distance relationship is statistically superior to the linear model. The linear model lacks objective statistical support when analyzed rigorously.

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Area of Science:

  • Cosmology
  • Astrophysics
  • Statistical Astronomy

Background:

  • The Hubble law describes the universe's expansion using a linear redshift-distance relationship.
  • Observational biases, such as redshift-magnitude cutoff, can affect cosmological measurements.
  • Theoretical cosmology provides frameworks for understanding cosmic expansion and distances.

Purpose of the Study:

  • To apply an optimal nonparametric technique to eliminate observation cutoff bias.
  • To test the validity of linear versus square redshift-distance laws in galaxy samples.
  • To statistically evaluate the foundation of the Hubble law.

Main Methods:

  • Application of an optimal nonparametric technique for bias elimination.
  • Analysis of redshift-magnitude and redshift-angular diameter relationships.

Related Experiment Videos

  • Nonparametric crosstesting of linear and square redshift-distance law hypotheses using data and simulations.

    • Main Results:

    • Estimates strongly favored a square redshift-distance law over a linear one.
    • The square law accurately predicted the statistical outcomes of the linear law analyses.
    • The linear law failed to predict the observed good fit of the square law.

    Conclusions:

    • The Hubble law, in its linear form, appears to lack an objective statistical foundation.
    • The square redshift-distance law demonstrates superior statistical performance.
    • Further validation of ancillary hypotheses is needed to support the linear model.