| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Gomez Ambrosio, R.; ter Hoeve, J.; Madigan, M.; Rojo, J.; Sanz, V. |
Unbinned multivariate observables for global SMEFT analyses from machine learning |
2023 |
Journal of High Energy Physics |
03 |
033 - 66pp |
| Khosa, C.K.; Sanz, V. |
Anomaly Awareness |
2023 |
Scipost Physics |
15 |
053 - 24pp |
| Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. |
SMEFT goes dark: Dark Matter models for four-fermion operators |
2023 |
Journal of High Energy Physics |
09 |
081 - 47pp |
| Conde, D.; Castillo, F.L.; Escobar, C.; García, C.; Garcia Navarro, J.E.; Sanz, V.; Zaldívar, B.; Curto, J.J.; Marsal, S.; Torta, J.M. |
Forecasting Geomagnetic Storm Disturbances and Their Uncertainties Using Deep Learning |
2023 |
Space Weather |
21 |
e2023SW003474 - 27pp |
| Sanchis-Lozano, M.A.; Sanz, V. |
Observable imprints of primordial gravitational waves on the temperature anisotropies of the cosmic microwave background |
2024 |
Physical Review D |
109 |
063529 - 11pp |
