359 citations · 3.2k across the 86 of their papers we have counts for
7 papers · 1 filter
The Effective Fluid approach for Modified Gravity and its applications
Savvas Nesseris
In this review we briefly summarize the so-called effective fluid approach, which is a compact framework that can be used to describe a plethora of different modified gravity model…
Machine learning cosmic inflation
Ahana Kamerkar, Savvas Nesseris, Lucas Pinol
We present a machine-learning approach, based on the genetic algorithms (GA), that can be used to reconstruct the inflationary potential directly from cosmological data. We create…
Using machine learning to compress the matter transfer function
J. Bayron Orjuela-Quintana, Savvas Nesseris, Wilmar Cardona
The linear matter power spectrum connects theory with large scale structure observations in cosmology. Its scale dependence is entirely encoded in the matter transfer func…
Machine learning constraints on deviations from general relativity from the large scale structure of the Universe
George Alestas, Lavrentios Kazantzidis, Savvas Nesseris
We use a particular machine learning approach, called the genetic algorithms (GA), in order to place constraints on deviations from general relativity (GR) via a possible evolution…
Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification
Koichi Miyamoto, Gonzalo Morrás, Takahiro S. Yamamoto +2
The speedup of heavy numerical tasks by quantum computing is now actively investigated in various fields including data analysis in physics and astronomy. In this paper, we propose…
Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies
Elcio Abdalla, Guillermo Franco Abellán, Amin Aboubrahim +200
In this paper we will list a few important goals that need to be addressed in the next decade, also taking into account the current discordances between the different cosmological…