Author |
Title |
Year |
Publication |
Volume  |
Pages |
Esser, F.; Madigan, M.; Salas-Bernardez, A.; Sanz, V.; Ubiali, M. |
Di-Higgs production via axion-like particles |
2024 |
Journal of High Energy Physics |
10 |
164 - 22pp |
LHC BSM Reinterpretation Forum (Abdallah, W. et al); Mitsou, V.A.; Sanz, V. |
Reinterpretation of LHC results for new physics: status and recommendations after run 2 |
2020 |
Scipost Physics |
9 |
022 - 45pp |
Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. |
Mapping the SMEFT to discoverable models |
2022 |
Journal of High Energy Physics |
09 |
229 - 34pp |
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 |
Esser, F.; Madigan, M.; Sanz, V.; Ubiali, M. |
On the coupling of axion-like particles to the top quark |
2023 |
Journal of High Energy Physics |
09 |
063 - 39pp |
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 |
Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. |
Fermionic UV models for neutral triple gauge boson vertices |
2024 |
Journal of High Energy Physics |
07 |
275 - 28pp |
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 |
Lee, H.M.; Park, M.; Sanz, V. |
Gravity-Mediated Dark Matter at a low reheating temperature |
2025 |
Journal of High Energy Physics |
05 |
126 - 26pp |