| |
Author |
Title |
Year  |
Publication |
Volume |
Pages |
Links |
|
|
Cranmer, K. et al; Sanz, V. |
Publishing statistical models: Getting the most out of particle physics experiments |
2022 |
Scipost Physics |
12 |
037 - 55pp |
|
|
|
Donini, A.; Enguita-Vileta, V.; Esser, F.; Sanz, V. |
Generalising Holographic Superconductors |
2022 |
Advances in High Energy Physics |
2022 |
1785050 - 19pp |
|
|
|
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. |
Mapping the SMEFT to discoverable models |
2022 |
Journal of High Energy Physics |
09 |
229 - 34pp |
|
|
|
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 |
|
