Abstract Machine learning entails a broad range of techniques that have been widely used
in Science and Engineering since decades. High-energy physics has also profited from the …

The design stored beam energy in the CERN high-luminosity large hadron collider (HL-
LHC) upgrade is about 700 MJ, with about 36 MJ in the beam tails, according to estimates …

The efficient detection of chaotic behavior in orbits of a complex dynamical system is an
active domain of research. Several indicators have been proposed, and new ones have …

Abstract The Dynamic Aperture is an important concept for the study of non-linear beam
dynamics in a circular accelerator. The DA is defined as the extent of the phase-space …

We investigate the ability of an ensemble reservoir computing approach to predict the long-
term behaviour of the phase-space region in which the motion of charged particles in hadron …

Circular particle accelerators at the energy frontier are based on superconducting magnets
that are extremely sensitive to beam losses as these might induce quenches, ie transitions to …

A Machine Learning approach to scientific problems has been in use in Science and
Engineering for decades. High-energy physics provided a natural domain of application of …

The dynamic aperture (DA) of a hadron accelerator is represented by the volume in phase
space that exhibits bounded motion, where we disregard any disconnected parts that could …

Recently, several efforts have been made at CERN to develop a new tracking tool, Xsuite,
which is intended to be the successor to SixTrack. In this framework, analysis tools have also …

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 …