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20152026
most citedTeleparallel Gravity: From Theory to Cosmology

532 citations · 2.2k across the 48 of their papers we have counts for

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Showing 2023Show all

7 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★ 58 cited

Quasiperiodic oscillations around hairy black holes in Horndeski gravity

Javlon Rayimbaev, Konstantinos F. Dialektopoulos, Furkat Sarikulov +1

Testing gravity theories and their parameters using observations is an important issue in relativistic astrophysics. In this context, we investigate the motion of test particles an…

gr-qc2023★ 1 cited

Cosmological Perturbations in the Teleparallel analog of Horndeski gravity

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

In this work we study the cosmological perturbations in Bahamonde-Dialektopoulos-Levi Said (BDLS) theory, i.e. the teleparallel analog of Horndeski gravity. In order to understand…

gr-qc2023

Gravitational Collapse in pure Gauss-Bonnet gravity

Konstantinos F. Dialektopoulos, Daniele Malafarina, Naresh Dadhich

We study the process of gravitational collapse in pure Gauss-Bonnet gravity. In the homogeneous dust collapse, we show that the pure Gauss-Bonnet theory has gravitational dyn…

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…

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…