|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Fernandez Navarro, M.; King, S.F.; Vicente, A. |
Tri-unification: a separate SU(5) for each fermion family |
2024 |
Journal of High Energy Physics |
05 |
130 - 32pp |
|
|
Di Bari, P.; King, S.F.; Hossain Rahat, M. |
Gravitational waves from phase transitions and cosmic strings in neutrino mass models with multiple majorons |
2024 |
Journal of High Energy Physics |
05 |
068 - 31pp |
|
|
Chu, X.Y.; Garani, R.; Garcia-Cely, C.; Hambye, T. |
Dark matter bound-state formation in the Sun |
2024 |
Journal of High Energy Physics |
05 |
045 - 32pp |
|
|
Giarnetti, A.; Herrero-Garcia, J.; Marciano, S.; Meloni, D.; Vatsyayan, D. |
Neutrino masses from new Weinberg-like operators: phenomenology of TeV scalar multiplets |
2024 |
Journal of High Energy Physics |
05 |
055 - 37pp |
|
|
Escrihuela, F.J.; Flores, L.J.; Miranda, O.G.; Rendon, J.; Sanchez-Velez, R. |
Examining the sensitivity of FASERν to generalized neutrino interactions |
2024 |
Journal of High Energy Physics |
04 |
102 - 25pp |
|
|
Giachino, A.; van Hameren, A.; Ziarko, G. |
A new subtraction scheme at NLO exploiting the privilege of k<sub>T</sub>-factorization |
2024 |
Journal of High Energy Physics |
06 |
167 - 39pp |
|
|
Nieves, J.; Feijoo, A.; Albaladejo, M.; Du, M.L. |
Lowest-lying 1/2- and 3/2- ΛQ resonances: From the strange to the bottom sectors |
2024 |
Progress in Particle and Nuclear Physics |
137 |
104118 - 23pp |
|
|
Lessa, L.A.; Maluf, R.V.; Silva, J.E.G.; Almeida, C.A.S. |
Braneworlds in warped Einsteinian cubic gravity |
2024 |
Journal of Cosmology and Astroparticle Physics |
05 |
123 - 25pp |
|
|
Kalliokoski, M.; Mitsou, V.A.; de Montigny, M.; Mukhopadhyay, A.; Ouimet, P.P.A.; Pinfold, J.; Shaa, A.; Staelens, M. |
Searching for minicharged particles at the energy frontier with the MoEDAL-MAPP experiment at the LHC |
2024 |
Journal of High Energy Physics |
04 |
137 - 22pp |
|
|
CALICE Collaboration (Lai, S. et al); Irles, A. |
Software compensation for highly granular calorimeters using machine learning |
2024 |
Journal of Instrumentation |
19 |
P04037 - 28pp |
|