| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Amerio, A.; Calore, F.; Serpico, P.D.; Zaldivar, B. |
Deepening gamma-ray point-source catalogues with sub-threshold information |
2024 |
Journal of Cosmology and Astroparticle Physics |
03 |
055 - 18pp |
|
|
|
Casas, J.A.; Moreno, J.M.; Rius, N.; Ruiz de Austri, R.; Zaldivar, B. |
Fair scans of the seesaw. Consequences for predictions on LFV processes |
2011 |
Journal of High Energy Physics |
03 |
034 - 22pp |
|
|
|
Catumba, G.; Ramos, A.; Zaldivar, B. |
Stochastic automatic differentiation for Monte Carlo processes |
2025 |
Computer Physics Communications |
307 |
109396 - 13pp |
|
|
|
de los Rios, M.; Petac, M.; Zaldivar, B.; Bonaventura, N.R.; Calore, F.; Iocco, F. |
Determining the dark matter distribution in simulated galaxies with deep learning |
2023 |
Monthly Notices of the Royal Astronomical Society |
525 |
6015-6035 |
|
|
|
Gammaldi, V.; Zaldivar, B.; Sanchez-Conde, M.A.; Coronado-Blazquez, J. |
A search for dark matter among Fermi-LAT unidentified sources with systematic features in machine learning |
2023 |
Monthly Notices of the Royal Astronomical Society |
520 |
1348-1361 |
|
