| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Arganda, E.; Marcano, X.; Martin Lozano, V.; Medina, A.D.; Perez, A.D.; Szewc, M.; Szynkman, A. |
A method for approximating optimal statistical significances with machine-learned likelihoods |
2022 |
European Physical Journal C |
82 |
993 - 14pp |
| Perez Adan, D.; Bahl, H.; Grohsjean, A.; Martin Lozano, V.; Schwanenberger, C.; Weiglein, G. |
A new LHC search for dark matter produced via heavy Higgs bosons using simplified models |
2023 |
Journal of High Energy Physics |
08 |
151 - 27pp |
| De Romeri, V.; Kim, J.S.; Martin Lozano, V.; Rolbiecki, K.; Ruiz de Austri, R. |
Confronting dark matter with the diphoton excess from a parent resonance decay |
2016 |
European Physical Journal C |
76 |
262 - 13pp |
| Domingo, F.; Kim, J.S.; Martin Lozano, V.; Martin-Ramiro, P.; Ruiz de Austri, R. |
Confronting the neutralino and chargino sector of the NMSSM with the multilepton searches at the LHC |
2020 |
Physical Review D |
101 |
075010 - 29pp |
| Dreiner, H.K.; Martin Lozano, V.; Nangia, S.; Opferkuch, T. |
Lepton PDFs and multipurpose single-lepton searches at the LHC |
2023 |
Physical Review D |
107 |
035011 - 12pp |
