299 citations · 697 across the 28 of their papers we have counts for
18 papers · 1 filter
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…
Simulating a Gaussian stochastic gravitational wave background signal in pulsar timing arrays
Reginald Christian Bernardo, Kin-Wang Ng
We revisit the theoretical modeling and simulation of a Gaussian stochastic gravitational wave background (SGWB) signal in a pulsar timing array (PTA). We show that the correlation…
Genetic algorithm demystified for cosmological parameter estimation
Reginald Christian Bernardo, Yun Chen
Genetic algorithm (GA) belongs to a class of nature-inspired evolutionary algorithms that leverage concepts from natural selection to perform optimization tasks. In cosmology, the…
Nature-inspired optimization, the Philippine Eagle, and cosmological parameter estimation
Reginald Christian Bernardo, Erika Antonette Enriquez, Renier Mendoza +2
Precise and accurate estimation of cosmological parameters is crucial for understanding the Universe's dynamics and addressing cosmological tensions. In this methods paper, we expl…
Implications of pulsar timing arrays for Gauss-Bonnet Inflation
Reginald Christian Bernardo, Seoktae Koh, Gansukh Tumurtushaa
Correlated time-of-arrival measurements by pulsar timing arrays (PTAs) have provided a new means of constraining astrophysical or cosmological models that produce a gravitational w…
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…