9 citations · 12 across the 2 of their papers we have counts for
3 papers
Deep learning reconstruction of the large scale structure of the Universe from luminosity distance observations
Cristhian García, Camilo Santa, Antonio Enea Romano
Supernovae Ia (SNe) can provide a unique window on the large scale structure (LSS) of the Universe at redshifts where few other observations are available, by solving the inversion…
Deep learning merger masses estimation from gravitational waves signals in the frequency domain
Juan Pablo Marulanda, Camilo Santa, Antonio Enea Romano
Detection of gravitational waves (GW) from compact binary mergers provide a new window into multi-messenger astrophysics. The standard technique to determine the merger parameters…
Constraining gravity theories with the gravitational stability mass
Camilo Santa, Antonio Enea Romano
The measurement of the size of gravitationally bounded structures is an important test of gravity theories. For a given radius different theories can in fact predict a different gr…