| |
Author |
Title |
Year  |
Publication |
Volume |
Pages |
Links |
|
|
Escudero, M.; Rius, N.; Sanz, V. |
Sterile neutrino portal to Dark Matter I: the U(1)(B-L) case |
2017 |
Journal of High Energy Physics |
02 |
045 - 27pp |
|
|
|
Escudero, M.; Rius, N.; Sanz, V. |
Sterile neutrino portal to Dark Matter II: exact dark symmetry |
2017 |
European Physical Journal C |
77 |
397 - 11pp |
|
|
|
Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
Convolutional neural networks for direct detection of dark matter |
2020 |
Journal of Physics G |
47 |
095201 - 20pp |
|
|
|
LHC BSM Reinterpretation Forum (Abdallah, W. et al); Mitsou, V.A.; Sanz, V. |
Reinterpretation of LHC results for new physics: status and recommendations after run 2 |
2020 |
Scipost Physics |
9 |
022 - 45pp |
|
|
|
Folgado, M.G.; Sanz, V. |
On the Interpretation of Nonresonant Phenomena at Colliders |
2021 |
Advances in High Energy Physics |
2021 |
2573471 - 12pp |
|
|
|
Ellis, J.; Madigan, M.; Mimasu, K.; Sanz, V.; You, T. |
Top, Higgs, diboson and electroweak fit to the Standard Model effective field theory |
2021 |
Journal of High Energy Physics |
04 |
279 - 78pp |
|
|
|
Barenboim, G.; Hirn, J.; Sanz, V. |
Symmetry meets AI |
2021 |
Scipost Physics |
11 |
014 - 11pp |
|
|
|
Khosa, C.K.; Sanz, V.; Soughton, M. |
Using machine learning to disentangle LHC signatures of Dark Matter candidates |
2021 |
Scipost Physics |
10 |
151 - 26pp |
|
|
|
Huang, F.; Sanz, V.; Shu, J.; Xue, X. |
LIGO as a probe of dark sectors |
2021 |
Physical Review D |
104 |
095001 - 9pp |
|
|
|
Bonilla, J.; Brivio, I.; Gavela, M.B.; Sanz, V. |
One-loop corrections to ALP couplings |
2021 |
Journal of High Energy Physics |
11 |
168 - 57pp |
|
