| Author |
Title |
Year |
Publication |
Volume  |
Pages |
| Bagnaschi, E.; Ellis, J.; Madigan, M.; Mimasu, K.; Sanz, V.; You, T. |
SMEFT analysis of m(W) |
2022 |
Journal of High Energy Physics |
08 |
308 - 22pp |
| Folgado, M.G.; Sanz, V. |
Exploring the political pulse of a country using data science tools |
2022 |
Journal of Computational Social Science |
5 |
987-1000 |
| Khosa, C.K.; Sanz, V.; Soughton, M. |
A simple guide from machine learning outputs to statistical criteria in particle physics |
2022 |
Scipost Physics Core |
5 |
050 - 31pp |
| Ellis, J.; Madigan, M.; Mimasu, K.; Sanz, V.; You, T. |
Top, Higgs, diboson and electroweak fit to the Standard Model effective field theory |
2021 |
Journal of High Energy Physics |
04 |
279 - 78pp |
| Lessa, A.; Sanz, V. |
Going beyond Top EFT |
2024 |
Journal of High Energy Physics |
04 |
107 - 29pp |
