359 citations · 3.2k across the 86 of their papers we have counts for
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Machine Learning and cosmographic reconstructions of quintessence and the Swampland conjectures
Rubén Arjona, Savvas Nesseris
We present model independent reconstructions of quintessence and the Swampland conjectures (SC) using both Machine Learning (ML) and cosmography. In particular, we demonstrate how…
Cosmological constraints with the Effective Fluid approach for Modified Gravity
Wilmar Cardona, Rubén Arjona, Alejandro Estrada +1
Cosmological constraints of Modified Gravity (MG) models are seldom carried out rigorously. First, even though general MG models evolve differently (i.e., background and perturbati…
Machine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events
Rubén Arjona, Hai-Nan Lin, Savvas Nesseris +1
We use simulated strongly lensed gravitational wave events from the Einstein Telescope to demonstrate how the luminosity and angular diameter distances, and respe…
Is there any measurable redshift dependence on the SN Ia absolute magnitude?
Domenico Sapone, Savvas Nesseris, Carlos A. P. Bengaly
We test the cosmological implications of a varying absolute magnitude of Type Ia supernovae using the Pantheon compilation, by reconstructing different phenomenological approaches…
The clustering dynamics of primordial black boles in -body simulations
Manuel Trashorras, Juan García-Bellido, Savvas Nesseris
We explore the possibility that Dark Matter (DM) may be explained by a non-uniform background of approximately stellar-mass clusters of Primordial Black Holes (PBHs), by simulating…
Cosmological constraints on non-adiabatic dark energy perturbations
Rubén Arjona, Juan García-Bellido, Savvas Nesseris
The exact nature of dark energy is currently unknown and its cosmological perturbations, when dark energy is assumed not to be the cosmological constant, are usually modeled as adi…