Abstract We compute the distribution of likelihoods from non-parametric iterative smoothing method over a set mock Pantheon-like type Ia supernova datasets. use this likelihood to test whether typical dark energy models are consistent with data and perform parameter estimation. In approach, consistency model is determined without need for comparison another alternative model. Simulating future ...

In this paper, we propose a new parametrization of dark energy based on the $Om(z)$ diagnostic tool behavior. For purpose, investigate functional form that predicts popular dynamical models, namely phantom and quintessence. We also found famous cosmological constant for specified values model's parameters. employed Markov Chain Monte Carlo approach to constrain model using Hubble, Pantheon samp...

We revisit the cosmological dynamics of cubic Galileon model in light recently proposed model-independent analyses Pantheon supernova data. At background level, it is shown to be compatible with data and preferred over standard quintessence models. Furthermore, consistent trans-Planckian censorship conjecture (as well as other Swampland conjectures). It that for given parametrization, fails sat...

With the entrance of cosmology in its new era high precision experiments, low- and high-redshift observations set off tensions measurements both present-day expansion rate ($H_0$) clustering matter ($S_8$). We provide a simultaneous explanation these using Parker-Raval Vacuum Metamorphosis (VM) model with neutrino sector extended beyond three massless Standard Model flavours curvature universe ...