A Critique of Supernova Data Analysis in Cosmology
arXiv:1010.5272 · doi:10.1088/1674-4527/10/12/001
Abstract
Observational astronomy has shown significant growth over the last decade and has made important contributions to cosmology. A major paradigm shift in cosmology was brought about by observations of Type Ia supernovae. The notion that the universe is accelerating has led to several theoretical challenges. Unfortunately, although high quality supernovae data-sets are being produced, their statistical analysis leaves much to be desired. Instead of using the data to directly test the model, several studies seem to concentrate on assuming the model to be correct and limiting themselves to estimating model parameters and internal errors. As shown here, the important purpose of testing a cosmological theory is thereby vitiated.
v2: Revised, comments and references added; Published version [vailable at http://www.raa-journal.org/raa/index.php/raa/article/view/539]
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- Average and dispersion of the luminosity-redshift relation in the concordance model
- Cosmology and the massive photon frequency shift in the Standard-Model Extension
- A Redshift Dependent Color-Luminosity Relation in Type 1a Supernovae
- A Curious Explanation of Some Cosmological Phenomena
- The Oscillatory Universe, phantom crossing and the Hubble tension
- Type Ia supernova parameter estimation: a comparison of two approaches using current datasets
- SNe Ia Redshift in a Non-Adiabatic Universe
- Mysteries of the Geometrization of Gravitation
- The variation of the fine structure constant: testing the dipole model with thermonuclear supernovae
- Observational Constraints on the Model Parameters of a Class of Emergent Universe
- A cosmology-independent calibration of type Ia supernovae data