关注
C.E. Montanari
C.E. Montanari
Postdoctoral Researcher, Manchester University. Project Associate, BE-ABP-NDC, CERN
在 cern.ch 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
252019
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
62021
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
52023
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
52022
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
42022
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
32022
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
22023
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
22022
JACoW: Diffusive Models for Nonlinear Beam Dynamics
CE Montanari, M Giovannozzi, A Bazzani
JACoW IPAC 2021, 1976-1979, 2021
22021
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
22021
Diffusive models and chaos indicators for non-linear betatron motion in circular hadron accelerators
CE Montanari
alma, 2023
12023
Using machine learning to improve dynamic aperture estimates
F Van der Veken, M Giovannozzi, E Maclean, CE Montanari, G Valentino
JACoW Publishing, 2021
12021
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
12020
Diffusive approach for non-linear beam dynamics in a circular accelerator
CE Montanari
Bologna U., 2019
12019
Evaluation of different scaling laws for dynamic aperture variation over time and intensity evolution in hadron storage rings
CE Montanari
12018
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
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