English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Type Ia Supernovae (SNe Ia) are considered the most reliable \textit{standardcandles} and they have played an invaluable role in cosmology since thediscovery of the Universe's accelerated expansion. During the last decades, theSNe Ia samples have been improved in number, redshift coverage, calibrationmethodology, and systematics treatment. These efforts led to the most recent\textit{``Pantheon"} (2018) and \textit{``Pantheon +"} (2022) releases, whichenable to constrain cosmological parameters more precisely than previoussamples. In this era of precision cosmology, the community strives to find newways to reduce uncertainties on cosmological parameters. To this end, we startour investigation even from the likelihood assumption of Gaussianity,implicitly used in this domain. Indeed, the usual practise involvesconstraining parameters through a Gaussian distance moduli likelihood. Thismethod relies on the implicit assumption that the difference between thedistance moduli measured and the ones expected from the cosmological model isGaussianly distributed. In this work, we test this hypothesis for both the\textit{Pantheon} and \textit{Pantheon +} releases. We find that in both casesthis requirement is not fulfilled and the actual underlying distributions are alogistic and a Student's t distribution for the \textit{Pantheon} and\textit{Pantheon +} data, respectively. When we apply these new likelihoodsfitting a flat $\Lambda$CDM model, we significantly reduce the uncertainties on$\Omega_M$ and $H_0$ of $\sim 40 \%$. This boosts the SNe Ia power inconstraining cosmological parameters, thus representing a huge step forward toshed light on the current debated tensions in cosmology.

Reduced uncertainties up to 43\% on the Hubble constant and the matter density with the SNe Ia with a new statistical analysis