5 papers
Operational Accelerator Tuning via Model-Coupled Optics and Bayesian Steering
O. Hassan, O. Shelbaya, P. M. Jung +3
We present an on-line tuning strategy for the ISAC post-accelerator that pre-sets machine optics with a digital twin and then performs Bayesian optimization for steering under onli…
Matching Optimization for TRIUMF's Rare Isotope Linac
O. Shelbaya, O. Hassan, R. Baartman +4
Fringe field effects are computed from simulated and measured quadrupole magnetic field gradients, enabling a more realistic modelling of the medium energy section optics in TRIUMF…
Strategy for Bayesian Optimized Beam Steering at TRIUMF-ISAC's MEBT and HEBT Beamlines
O. Hassan, O. Shelbaya, W. Fedorko +2
In preparation for operation of multiple Rare Isotope Beams (RIBs) when the Advanced Rare Isotope Laboratory (ARIEL) becomes operational, TRIUMF embarked on a program of advanced b…
Tuning methods for multigap drift tube linacs
Olivier Shelbaya, Rick Baartman, Peter Braun +5
Multigap cavities are used extensively in linear accelerators to achieve velocities up to a few percent of the speed of light, driving nuclear physics research around the world. Un…
Bayesian Optimization for Ion Beam Centroid Correction
Emma Ghelfi, Alexander Katrusiak, Rick Baartman +5
An activity of the TRIUMF automatic beam tuning program, the Bayesian optimization for Ion Steering, BOIS, method has been developed to perform corrective centroid steering of beam…