activity
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 astro-ph.COShow all

13 papers · 1 filter

astro-ph.CO2024★ 2 cited

Model-independent calibration of Gamma-Ray Bursts with neural networks

Purba Mukherjee, Maria Giovanna Dainotti, Konstantinos F. Dialektopoulos +2

The Cold Dark Matter (CDM) cosmological model has been highly successful in predicting cosmic structure and evolution, yet recent precision measurements have highlighted dis…

astro-ph.CO2024★ 11 cited

A possible late-time transition of inferred via neural networks

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

The strengthening of tensions in the cosmological parameters has led to a reconsideration of fundamental aspects of standard cosmology. The tension in the Hubble constant can also…

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…

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…

astro-ph.CO2023★ 1 cited

Strengthening extended Gravity constraints with combined systems: bounds from Cosmology and the Galactic Center

D. Benisty, J. Mifsud, J. Levi Said +1

Extended gravity is widely constrained in different astrophysical and astronomical systems. Since these different systems are based on different scales it is not trivial to get a c…

astro-ph.CO2022★ 30 cited

Dark energy by natural evolution: Constraining dark energy using Approximate Bayesian Computation

Reginald Christian Bernardo, Daniela Grandón, Jackson Levi Said +1

We look at dark energy from a biology inspired viewpoint by means of the Approximate Bayesian Computation (ABC) and late time cosmological observations. We find that dynamical dark…