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 …

A seismic swarm is a series of earthquakes that occur in a small area over a short period of
time. A sequence of earthquakes of this magnitude is unusual in Switzerland, and it is …

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 …

Determining a model for the time scaling of the dynamic aperture of a circular accelerator is
a topic of strong interest and intense research efforts in accelerator physics. The motivation …

Future hadron colliders aim at producing larger integrated luminosities by burning-off an
increased fraction of the bunch particles. This burn-off removes particles unevenly in the …

In recent years, modelling the evolution of beam losses in circular proton machines starting
from the concept of dynamic aperture its time evolution has been the focus of intense …

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 …

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 application of integrated simulation frameworks, which include particle tracking and
physical interactions, to heavy-ion beam collimation in existing and future hadron colliders is …

The CMS detector, including its muon system, has been operating at the CERN LHC in
increasingly challenging conditions for about 15 years. The muon detector was designed to …