Fractal Bubble Cosmology: A concordant cosmological model?

TL;DR

The paper critically evaluates the Fractal Bubble cosmology model, demonstrating it does not fit supernovae data well and faces significant inconsistencies compared to the standard Lambda Cold Dark Matter model.

Contribution

It provides a comprehensive analysis showing the Fractal Bubble model's inability to match key cosmological observations and questions its validity as an alternative to dark energy.

Findings

FB model does not fit supernovae data consistently

Significant tension in model parameters across datasets

Fails to reconcile galaxy clustering and CMB data

Abstract

The Fractal Bubble model has been proposed as a viable cosmology that does not require dark energy to account for cosmic acceleration, but rather attributes its observational signature to the formation of structure. In this paper it is demonstrated that, in contrast to previous findings, this model is not a good fit to cosmological supernovae data; there is significant tension in the best fit parameters obtained from different samples, whereas LCDM is able to fit all datasets consistently. Furthermore, the concordance between galaxy clustering scales and data from the cosmic microwave background is not achieved with the most recent supernova compilations. The validity of the FB formalism as a sound cosmological model is further challenged as it is shown that previous studies of this model achieve concordance by requiring a value for the present day Hubble constant that is derived from supernovae data containing an arbitrary distance normalisation.