742 citations · 1.1k across the 16 of their papers we have counts for
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Cosmo-Learn: code for learning cosmology using different methods and mock data
Reginald Christian Bernardo, Daniela Grandón, Jackson Levi Said +3
We present cosmo_learn, an open-source python-based software package designed to simulate cosmological data and perform data-driven inference using a range of modern statistical an…
Towards a model-independent reconstruction approach for late-time Hubble data
Reginald Christian Bernardo, Jackson Levi Said
Gaussian processes offers a convenient way to perform nonparametric reconstructions of observational data assuming only a kernel which describes the covariance between neighbouring…
Performance of Non-Parametric Reconstruction Techniques in the Late-Time Universe
Celia Escamilla-Rivera, Jackson Levi Said, Jurgen Mifsud
In the context of a Hubble tension problem that is growing in its statistical significance, we reconsider the effectiveness of non-parametric reconstruction techniques which are in…
A data-driven Reconstruction of Horndeski gravity via the Gaussian processes
Reginald Christian Bernardo, Jackson Levi Said
We reconstruct the Hubble function from cosmic chronometers, supernovae, and baryon acoustic oscillations compiled data sets via the Gaussian process (GP) method and use it to draw…
Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data
Jackson Levi Said, Jurgen Mifsud, Joseph Sultana +1
In this work, we use a combined approach of Hubble parameter data together with redshift-space-distortion data, which together are used to reconstruct the teleparallel gra…