2018
DOI: 10.3390/universe4060073
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Is it no Longer Necessary to Test Cosmologies with Type Ia Supernovae?

Abstract: Abstract:We look at the current practice of analyzing the magnitude-redshift relation from the data on Type Ia supernovae. We show that, if the main aim of such analysis were to check the validity of a cosmological model, then the recently advanced arguments do not serve the purpose. Rather, the procedure followed tells us only about the statistical significance of the internal parameters used in the model, whereas the model itself is tacitly assumed to give a good fit to the data. A statistical assessment of … Show more

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Cited by 9 publications
(10 citation statements)
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“…However, since the discovery of the microwave background radiation by Penzias and Wilson in 1964 [2], the acceptable explanation for the redshift by mainstream cosmologist has steadily shifted in favour of the big-bang expansion of the universe, and today alternative approaches for explaining the redshift are not acceptable by most cosmologists. The situation has been most succinctly expressed by Vishwakarma and Narlikar in a recent paper [3] as follows: "… a recent trend in the analysis of SNeIa data departs from the standard practice of executing a quantitative assessment of a cosmological theory-the expected primary goal of the observations [4,5]. Instead of using the data to directly test the considered model, the new procedure tacitly assumes that the model gives a good fit to the data, and limits itself to estimating the confidence intervals for the parameters of the model and their internal errors.…”
Section: Introductionmentioning
confidence: 99%
“…However, since the discovery of the microwave background radiation by Penzias and Wilson in 1964 [2], the acceptable explanation for the redshift by mainstream cosmologist has steadily shifted in favour of the big-bang expansion of the universe, and today alternative approaches for explaining the redshift are not acceptable by most cosmologists. The situation has been most succinctly expressed by Vishwakarma and Narlikar in a recent paper [3] as follows: "… a recent trend in the analysis of SNeIa data departs from the standard practice of executing a quantitative assessment of a cosmological theory-the expected primary goal of the observations [4,5]. Instead of using the data to directly test the considered model, the new procedure tacitly assumes that the model gives a good fit to the data, and limits itself to estimating the confidence intervals for the parameters of the model and their internal errors.…”
Section: Introductionmentioning
confidence: 99%
“…It should be mentioned that following Vishwakarma and Narlikar [38] we have preferred to use Pearson's χ 2 weighted least square fit approach of data analysis through the χ 2 probability comparison of various models rather than the Bayesian approach.…”
Section: Resultsmentioning
confidence: 99%
“…Estimates of SNe Ia distances typically rely on nearby Cepheid variable star distances which are still being adjusted [13,14]. In addition, the methods used for evaluations of the SNe Ia data and claims therefrom have been repeatedly questioned [15,16]. An independent method for estimating H 0 has recently been published based on the characteristics of selected red giant stars [17,18].…”
Section: Introductionmentioning
confidence: 99%