| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| Huang, F.; Sanz, V.; Shu, J.; Xue, X. |
LIGO as a probe of dark sectors |
2021 |
Physical Review D |
104 |
095001 - 9pp |
| Sanchis-Lozano, M.A.; Sanz, V. |
Observable imprints of primordial gravitational waves on the temperature anisotropies of the cosmic microwave background |
2024 |
Physical Review D |
109 |
063529 - 11pp |
| Perez-Curbelo, J.; Roser, J.; Muñoz, E.; Barrientos, L.; Sanz, V.; Llosa, G. |
Improving Compton camera imaging of multi-energy radioactive sources by using machine learning algorithms for event selection |
2025 |
Radiation Physics and Chemistry |
226 |
112166 - 11pp |
| Kasieczka, G. et al; Sanz, V. |
The LHC Olympics 2020: a community challenge for anomaly detection in high energy physics |
2021 |
Reports on Progress in Physics |
84 |
124201 - 64pp |
| 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 |
| 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 |
| Cranmer, K. et al; Sanz, V. |
Publishing statistical models: Getting the most out of particle physics experiments |
2022 |
Scipost Physics |
12 |
037 - 55pp |
| Khosa, C.K.; Sanz, V. |
Anomaly Awareness |
2023 |
Scipost Physics |
15 |
053 - 24pp |
| Khosa, C.K.; Sanz, V.; Soughton, M. |
A simple guide from machine learning outputs to statistical criteria in particle physics |
2022 |
Scipost Physics Core |
5 |
050 - 31pp |
