| Machine learning for beam dynamics studies at the CERN Large Hadron Collider P Arpaia, G Azzopardi, F Blanc, G Bregliozzi, X Buffat, L Coyle, E Fol, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021 | 49 | 2021 |
| Modelling airborne transmission of SARS-CoV-2 using CARA: Risk assessment for enclosed spaces A Henriques, N Mounet, L Aleixo, P Elson, J Devine, G Azzopardi, ... Interface Focus 12 (2), 20210076, 2022 | 30 | 2022 |
| Operational results on the fully automatic LHC collimator alignment G Azzopardi, B Salvachua, G Valentino, S Redaelli, A Muscat Physical Review Accelerators and Beams 22 (9), 093001, 2019 | 27 | 2019 |
| SARS-CoV-2 aerosol transmission in schools: the effectiveness of different interventions J Villers, A Henriques, S Calarco, M Rognlien, N Mounet, J Devine, ... MedRxiv, 2021.08. 17.21262169, 2021 | 21 | 2021 |
| Run 2 collimation overview N Fuster Martinez, J Wagner, G Valentino, A Rossi, R Rossi, M Di Castro, ... | 18 | 2019 |
| Data-driven cross-talk modeling of beam losses in LHC collimators G Azzopardi, B Salvachua, G Valentino Physical Review Accelerators and Beams 22 (8), 083002, 2019 | 15 | 2019 |
| Operational results of LHC collimator alignment using machine learning G Azzopardi, A Muscat, G Valentino, S Redaelli, B Salvachua JACoW, 2019 | 15 | 2019 |
| Automatic spike detection in beam loss signals for LHC collimator alignment G Azzopardi, G Valentino, A Muscat, B Salvachua Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2019 | 13 | 2019 |
| Software architecture for automatic LHC collimator alignment using machine learning G Azzopardi, G Valentino, B Salvachua, S Redaelli, A Muscat JACoW, 2019 | 13 | 2019 |
| Automatic angular alignment of LHC collimators G Azzopardi, G Valentino, A Muscat, B Salvachua, A Mereghetti JACoW, 2018 | 12 | 2018 |
| SISSA: Machine learning in accelerator physics: Applications at the CERN Large Hadron Collider F Van Der Veken, F Blanc, G Valentino, T Pieloni, S Redaelli, RT Garcia, ... PoS, 044, 2020 | 8 | 2020 |
| Automation of the LHC collimator beam-based alignment procedure for nominal operation G Azzopardi Malta U., 2020 | 8 | 2020 |
| First High-Intensity Beam Tests with Telescopic Flat Optics at the LHC S Fartoukh, A Wegscheider, D Mirarchi, R Bruce, N Fuster Martinez, ... | 8 | 2019 |
| Automatic beam loss threshold selection for LHC collimator alignment G Azzopardi, G Valentino, B Salvachua, S Redaelli, A Muscat JACoW, 2019 | 7 | 2019 |
| LHC collimation controls system for run III operation G Azzopardi, M Di Castro, G Valentino, B Salvachua, ... JACoW Publishing, 2021 | 6 | 2021 |
| Modelling airborne transmission of SARS-CoV-2: Risk assessment for enclosed spaces A Henriques, G Azzopardi, N Tarocco, J Devine, MK Rognlien, M Andreini, ... | 5 | 2021 |
| Application of machine learning techniques at the CERN Large Hadron Collider F Van der Veken, G Azzopardi, F Blanc, L Coyle, E Fol, M Giovannozzi, ... PoS, 2019 | 5 | 2019 |
| Prospects to apply machine learning to optimize the operation of the crystal collimation system at the LHC M D'Andrea, G Azzopardi, E Matheson, D Mirarchi, S Redaelli, ... JACoW Publishing, 2022 | 4 | 2022 |
| The Automatic LHC Collimator Beam-Based Alignment Software Package G Azzopardi, G Valentino, B Salvachua JACoW, 659-664, 2022 | 4 | 2022 |
| New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment G Azzopardi, G Ricci JACoW, 953-958, 2022 | 4 | 2022 |
