13 citations · 18 across the 4 of their papers we have counts for
4 papers
Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction
Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4
We address the challenge of scalable uncertainty quantification in large-scale scientific applications, where complex state-of-the-art machine learning methods are often computatio…
Optimizing Dynamic Aperture Studies with Active Learning
D. Di Croce, M. Giovannozzi, E. Krymova +5
Dynamic aperture is an important concept for the study of non-linear beam dynamics in circular accelerators. It describes the extent of the phase-space region where a particle's mo…
Xsuite: an integrated beam physics simulation framework
G. Iadarola, R. De Maria, S. Lopaciuk +17
Xsuite is a newly developed modular simulation package combining in a single flexible and modern framework the capabilities of different tools developed at CERN in the past decades…
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data
Michael Andrews, Bjorn Burkle, Yi-fan Chen +10
We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a…