| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Caron, S.; Ruiz de Austri, R.; Zhang, Z.Y. |
Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories? |
2023 |
Journal of High Energy Physics |
03 |
004 - 37pp |
| Batra, A.; Bharadwaj, P.; Mandal, S.; Srivastava, R.; Valle, J.W.F. |
Phenomenology of the simplest linear seesaw mechanism |
2023 |
Journal of High Energy Physics |
07 |
221 - 48pp |
| Athron, P.; Park, J.H.; Stockinger, D.; Voigt, A. |
FlexibleSUSY-A spectrum generator generator for supersymmetric models |
2015 |
Computer Physics Communications |
190 |
139-172 |
| Allanach, B.C.; Bednyakov, A.; Ruiz de Austri, R. |
Higher order corrections and unification in the minimal supersymmetric standard model: SOFTSUSY3.5 |
2015 |
Computer Physics Communications |
189 |
192-206 |
| Ancilotto, F.; Barranco, M.; Navarro, J.; Pi, M. |
A Density Functional Approach to Para-hydrogen at Zero Temperature |
2016 |
Journal of Low Temperature Physics |
185 |
26-38 |
| Borexino Collaboration (Bellini, G. et al); Pena-Garay, C. |
Absence of a day-night asymmetry in the Be-7 solar neutrino rate in Borexino |
2012 |
Physics Letters B |
707 |
22-26 |
| 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 |
