299 citations · 762 across the 30 of their papers we have counts for
5 papers · 1 filter
Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
Ana Paula O. Muller, Clecio R. Bom, Jessé C. Costa +4
An accurate velocity model is essential to make a good seismic image. Conventional methods to perform Velocity Model Building (VMB) tasks rely on inverse methods, which, despite be…
TOPz: Photometric redshifts for J-PAS
J. Laur, E. Tempel, A. Tamm +30
The importance of photometric galaxy redshift estimation is rapidly increasing with the development of specialised powerful observational facilities. We develop a new photometric r…
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…
Deep-tomography: iterative velocity model building with deep learning
Ana Paula O. Muller, Clecio R. Bom, Jesse C. Costa +5
The accurate and fast estimation of velocity models is crucial in seismic imaging. Conventional methods, like Tomography and Full-Waveform Inversion (FWI), obtain appropriate veloc…
Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning
Ana Paula O. Muller, Jesse C. Costa, Clecio R. Bom +5
Delimiting salt inclusions from migrated images is a time-consuming activity that relies on highly human-curated analysis and is subject to interpretation errors or limitations of…