240 citations · 330 across the 15 of their papers we have counts for
15 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…
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…
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…
Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
Ashley Ferreira, Mahip Singh, Yukiya Saito +9
The ALPHA-g experiment at CERN aims to precisely measure the terrestrial gravitational acceleration of antihydrogen atoms. A radial Time Projection Chamber (rTPC), that surrounds t…
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions
Ian Lu, Hao Jia, Sebastian Gonzalez +10
With the approach of the High Luminosity Large Hadron Collider (HL-LHC) era set to begin particle collisions by the end of this decade, it is evident that the computational demands…
AI Meets Antimatter: Unveiling Antihydrogen Annihilations
Ashley Ferreira, Mahip Singh, Andrea Capra +9
The ALPHA-g experiment at CERN aims to perform the first-ever direct measurement of the effect of gravity on antimatter, determining its weight to within 1% precision. This measure…