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  Author (up) Title Year Publication Volume Pages Links
Huang, F.; Sanz, V.; Shu, J.; Xue, X. LIGO as a probe of dark sectors 2021 Physical Review D 104 095001 - 9pp details   doi
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 details   doi
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 details   doi
Khosa, C.K.; Sanz, V. Anomaly Awareness 2023 Scipost Physics 15 053 - 24pp details   doi
Khosa, C.K.; Sanz, V. On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios 2022 Advances in High Energy Physics 2022 8970837 - 13pp details   doi
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 details   doi
Khosa, C.K.; Sanz, V.; Soughton, M. Using machine learning to disentangle LHC signatures of Dark Matter candidates 2021 Scipost Physics 10 151 - 26pp details   doi
Lessa, A.; Sanz, V. Going beyond Top EFT 2024 Journal of High Energy Physics 04 107 - 29pp details   doi
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 details   doi
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 details   doi
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