Advances on the modeling of the time evolution of dynamic aperture of hadron circular accelerators A Bazzani, M Giovannozzi, EH Maclean, CE Montanari, FF Van der Veken, ... Physical Review Accelerators and Beams 22 (10), 104003, 2019 | 25 | 2019 |
Machine learning applied to the analysis of nonlinear beam dynamics simulations for the cern large hadron collider and its luminosity upgrade M Giovannozzi, E Maclean, CE Montanari, G Valentino, FF Van der Veken Information 12 (2), 53, 2021 | 6 | 2021 |
Performance analysis of indicators of chaos for nonlinear dynamical systems A Bazzani, M Giovannozzi, CE Montanari, G Turchetti Physical Review E 107 (6), 064209, 2023 | 5 | 2023 |
Probing the diffusive behaviour of beam-halo dynamics in circular accelerators CE Montanari, A Bazzani, M Giovannozzi The European Physical Journal Plus 137 (11), 1264, 2022 | 5 | 2022 |
Determination of the Phase-Space Stability Border with Machine Learning Techniques F Van der Veken, A Lowyck, R Akbari, W Van Goethem, E Fol, ... JACoW IPAC 2022, 183-186, 2022 | 4 | 2022 |
Testing the Global Diffusive Behaviour of Beam-Halo Dynamics at the CERN LHC Using Collimator Scans CE Montanari, M Giovannozzi, S Redaelli, A Bazzani, A Gorzawski JACoW IPAC 2022, 172-175, 2022 | 3 | 2022 |
Recent measurements and analyses of the beam-halo dynamics at the CERN LHC using collimator scans CE Montanari, A Bazzani, M Giovannozzi, P Hermes, S Redaelli 14th Int. Particle Accelerator Conf.(IPAC’23), Venice, Italy, 2023 | 2 | 2023 |
Using Dynamic Indicators for Probing Single-Particle Stability in Circular Accelerators CE Montanari, M Giovannozzi, G Turchetti, A Bazzani JACoW IPAC 2022, 168-171, 2022 | 2 | 2022 |
JACoW: Diffusive Models for Nonlinear Beam Dynamics CE Montanari, M Giovannozzi, A Bazzani JACoW IPAC 2021, 1976-1979, 2021 | 2 | 2021 |
JACoW: Using Machine Learning to Improve Dynamic Aperture Estimates FF Van der Veken, M Giovannozzi, G Valentino, CE Montanari, ... JACoW IPAC 2021, 134-137, 2021 | 2 | 2021 |
Diffusive models and chaos indicators for non-linear betatron motion in circular hadron accelerators CE Montanari alma, 2023 | 1 | 2023 |
Using machine learning to improve dynamic aperture estimates F Van der Veken, M Giovannozzi, E Maclean, CE Montanari, G Valentino JACoW Publishing, 2021 | 1 | 2021 |
SISSA: Bridging mathematics and physics: models of the evolution of dynamic aperture in hadron colliders and applications to LHC F Van der Veken, M Giovannozzi, EH Maclean, CE Montanari, A Bazzani, ... PoS, 023, 2020 | 1 | 2020 |
Diffusive approach for non-linear beam dynamics in a circular accelerator CE Montanari Bologna U., 2019 | 1 | 2019 |
Evaluation of different scaling laws for dynamic aperture variation over time and intensity evolution in hadron storage rings CE Montanari | 1 | 2018 |
MD 7224: LHC collimation quench test with protons PD Hermes, D Mirarchi, R Bruce, M Giovannozzi, A Abramov, M Zerlauth, ... | | 2023 |
arXiv: Performance analysis of indicators of chaos for nonlinear dynamical systems A Bazzani, G Turchetti, CE Montanari, M Giovannozzi | | 2023 |
JACOW: Collimation quench test at the LHC with a 6.8 TeV proton beam P Hermes, V Rodin, A Lechner, M Zerlauth, C Hernalsteens, M Söderen, ... JACoW IPAC 2023, MOPA123, 2023 | | 2023 |
JACOW: Recent measurements and analyses of the beam-halo dynamics at the CERN LHC using collimator scans CE Montanari, S Redaelli, P Hermes, A Bazzani, M Giovannozzi JACoW IPAC 2023, WEPA022, 2023 | | 2023 |
JACOW: Modelling the experimental data for long-range beam-beam wire compensators at the CERN LHC with diffusive models CE Montanari, A Poyet, A Bazzani, M Giovannozzi, G Sterbini JACoW IPAC 2023, WEPA021, 2023 | | 2023 |