128 citations · 1.3k across the 58 of their papers we have counts for
46 papers · 1 filter
Can we learn from matter creation to solve the tension problem?
Emilio Elizalde, Martiros Khurshudyan, Sergei D. Odintsov
The tension problem is studied in the light of a matter creation mechanism (an effective approach to replacing dark energy), the way to define the matter creation rate bein…
Constraints on prospective deviations from the cold dark matter model using a Gaussian Process
Martiros Khurshudyan, Emilio Elizalde
Recently, using Bayesian Machine Learning, a deviation from the cold dark matter model on cosmological scales has been put forward. Such model might replace a proposed non-gravitat…
Swampland criteria and neutrino generation in a non-cold dark matter universe
Martiros Khurshudyan
In this paper, the implications of string Swampland criteria for a dark energy-dominated universe, where we have a deviation from the cold dark matter model, will be discussed. In…
Reconstruction of the quintessence dark energy potential from a Gaussian process
Emilio Elizalde, Martiros Khurshudyan, K. Myrzakulov +1
The quintessence dark energy potential is reconstructed in a model-independent way. Reconstruction relies on a Gaussian process and on available expansion-rate data. Specifically,…
Assessing the foundation and applicability of some dark energy fluid models in the Dirac-Born-Infeld framework
Muhsin Aljaf, Daniele Gregoris, Martiros Khurshudyan
In this paper, we will deepen the understanding of some fluid models proposed by other authors for the description of dark energy. Specifically, we will show that the so-called (Mo…
Interplay between Swampland and Bayesian Machine Learning in constraining cosmological models
Emilio Elizalde, Martiros Khurshudyan
Constraints on a dark energy dominated Universe are obtained from an interplay between Bayesian Machine Learning and string Swampland criteria. The approach here differs from previ…