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20102026
most citedTeleparallel Gravity: From Theory to Cosmology

532 citations · 3.3k across the 84 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

gr-qc2023★ 1 cited

Stable bouncing solutions in Teleparallel Horndeski gravity: violations of the no-go theorem

Bobomurat Ahmedov, Konstantinos F. Dialektopoulos, Jackson Levi Said +3

In order to have singularity-free solutions at the beginning of the Universe, we need to violate the null energy condition. In the general class of Horndeski gravity, there are hea…

gr-qc2023★ 9 cited

Cosmological singularities in gravity

Oem Trivedi, Maxim Khlopov, Jackson Levi Said +1

The pursuit of understanding the mysteries surrounding dark energy has sparked significant interest within the field of cosmology. While conventional approaches, such as the cosmol…

astro-ph.CO2023★ 16 cited

Growth of structures using redshift space distortion in Cosmology

Rebecca Briffa, Celia Escamilla-Rivera, Jackson Levi Said +1

Cosmology faces a pressing challenge with the Hubble constant () tension, where the locally measured rate of the Universe's expansion does not align with predictions from the…

gr-qc2023

Neural network reconstruction of scalar-tensor cosmology

Konstantinos F. Dialektopoulos, Purba Mukherjee, Jackson Levi Said +1

Neural networks have shown great promise in providing a data-first approach to exploring new physics. In this work, we use the full implementation of late time cosmological data to…

astro-ph.CO2023★ 16 cited

Exploring the Growth Index : Insights from Different CMB Dataset Combinations and Approaches

Enrico Specogna, Eleonora Di Valentino, Jackson Levi Said +1

In this study we investigate the growth index , which characterizes the growth of linear matter perturbations, while analysing different cosmological datasets. We compare the…

gr-qc2023★ 20 cited

Neural network reconstruction of cosmology using the Pantheon compilation

Konstantinos F. Dialektopoulos, Purba Mukherjee, Jackson Levi Said +1

In this work, we reconstruct the Hubble diagram using various data sets, including correlated ones, in Artificial Neural Networks (ANN). Using ReFANN, that was built for data sets…