92 citations · 262 across the 12 of their papers we have counts for
12 papers · 1 filter
First Experimental Demonstration of Reinforcement Learning-Based Tuning on the PSI Injector 2 Cyclotron
M. Haj Tahar, W. Joho, E. Solodko +7
Reliable operation of high-power proton cyclotrons is a critical requirement for Accelerator Driven Systems (ADS) and other large-scale applications. Beam tuning in such machines i…
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Sichen Li, Jochem Snuverink, Fernando Perez-Cruz +1
Unforeseen particle accelerator interruptions, also known as interlocks, lead to abrupt operational changes despite being necessary safety measures. These may result in substantial…
Probing the losses for a high power beam
M. Haj Tahar, D. Kiselev, A. Knecht +3
The High Intensity Proton Accelerator (HIPA) cyclotron at the Paul Scherrer Institut (PSI) delivers 590 MeV CW proton beam with a maximum power of 1.42 MW. After extraction, the be…
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization
Johannes Kirschner, Mojmir Mutný, Andreas Krause +3
Tuning machine parameters of particle accelerators is a repetitive and time-consuming task that is challenging to automate. While many off-the-shelf optimization algorithms are ava…
Beam stripping interactions in compact cyclotrons
Pedro Calvo, Iván Podadera, Daniel Gavela +4
Beam stripping losses of H- ion beams by interactions with residual gas and electromagnetic fields are evaluated. These processes play an important role in compact cyclotrons where…
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Sichen Li, Mélissa Zacharias, Jochem Snuverink +4
The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss of beam time. A nov…
OPAL a Versatile Tool for Charged Particle Accelerator Simulations
Andreas Adelmann, Pedro Calvo, Matthias Frey +9
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex models often do not describe the measured data. Inte…
Matching of turn pattern measurements for cyclotrons using multi-objective optimization
Matthias Frey, Jochem Snuverink, Christian Baumgarten +1
The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators However, uncertainties of input quantitie…
Opportunities in Machine Learning for Particle Accelerators
Auralee Edelen, Christopher Mayes, Daniel Bowring +10
Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data…
On the accuracy of Monte Carlo based beam dynamics models for the degrader in proton therapy facilities
V. Rizzoglio, A. Adelmann, C. Baumgarten +3
In a cyclotron-based proton therapy facility, the energy changes are performed by means of a degrader of variable thickness. The interaction of the proton beam with the degrader cr…
Updated baseline for a staged Compact Linear Collider
The CLIC, CLICdp collaborations, : +515
The Compact Linear Collider (CLIC) is a multi-TeV high-luminosity linear e+e- collider under development. For an optimal exploitation of its physics potential, CLIC is foreseen to…
BDS tuning and Luminosity Monitoring in CLIC
B. Dalena, J. Barranco, A. Latina +6
The emittance preservation in the Beam Delivery System (BDS) is one of the major challenges in CLIC. The fast detuning of the final focus optics requires an on-line tuning procedur…