85 citations · 471 across the 19 of their papers we have counts for
4 papers · 1 filter
What can Machine Learning tell us about the background expansion of the Universe?
Rubén Arjona, Savvas Nesseris
Machine learning (ML) algorithms have revolutionized the way we interpret data in astronomy, particle physics, biology and even economics, since they can remove biases due to a pri…
Lensing convergence and anisotropic dark energy in galaxy redshift surveys
Wilmar Cardona, Rubén Arjona, Savvas Nesseris
Analyses of upcoming galaxy surveys will require careful modelling of relevant observables such as the power spectrum of galaxy counts in harmonic space . We investig…
Analytic expressions for the background evolution of massive neutrinos and dark matter particles
Rubén Arjona, Wilmar Cardona, Savvas Nesseris
We provide exact analytic expressions for the density, pressure, average number density and pseudo-pressure for massive neutrinos and generic dark matter particles, both fermions a…
Designing Horndeski and the effective fluid approach
Rubén Arjona, Wilmar Cardona, Savvas Nesseris
We present a family of designer Horndeski models, i.e. models that have a background exactly equal to that of the CDM model but perturbations given by the Horndeski theory. Then…