most citedDeep learning merger masses estimation from gravitational waves signals in the frequency domain

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

gr-qc2020★ 9 cited

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…