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Author Title Year Publication Volume Pages
Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. Mapping the SMEFT to discoverable models 2022 Journal of High Energy Physics 09 229 - 34pp
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
Lessa, A.; Sanz, V. Going beyond Top EFT 2024 Journal of High Energy Physics 04 107 - 29pp
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
Basso, L.; Belyaev, A.; Chowdhury, D.; Hirsch, M.; Khalil, S.; Moretti, S.; O'Leary, B.; Porod, W.; Staub, F. Proposal for generalised supersymmetry Les Houches Accord for see-saw models and PDG numbering scheme 2013 Computer Physics Communications 184 698-719