- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Astrophysics and Cosmic Phenomena
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Distributed and Parallel Computing Systems
- Digital Radiography and Breast Imaging
- Advanced Data Storage Technologies
- Particle Accelerators and Free-Electron Lasers
- Atomic and Subatomic Physics Research
- Statistical Distribution Estimation and Applications
- SARS-CoV-2 detection and testing
- Muon and positron interactions and applications
- Algorithms and Data Compression
- Nuclear Physics and Applications
- CCD and CMOS Imaging Sensors
- Particle accelerators and beam dynamics
- Scientific Measurement and Uncertainty Evaluation
TRIUMF
2023-2025
University of British Columbia
2015-2024
The University of Adelaide
2017-2021
Ochanomizu University
2020
Otsuka (Japan)
2020
Tel Aviv University
2018-2019
European Organization for Nuclear Research
2015
Michigan State University
2010-2013
An activity of the TRIUMF automatic beam tuning program, Bayesian optimization for Ion Steering (BOIS) method has been developed to perform corrective centroid steering beams at ISAC facility. BOIS exclusively controls steerers correction after transverse optics have set according theory. The is fully online, easy deploy, and tested in low energy post-accelerated ISAC, achieving results comparable human operators. scaleBOIS boundBOIS are naïve proof-of-concept solutions preferably select...
Abstract The Large Hadron Collider’s high luminosity era presents major computational challenges in the analysis of collision events. amounts Monte Carlo (MC) simulation will be required to constrain statistical uncertainties simulated datasets below these experimental data. Modelling high-energy particles propagating through calorimeter section detector is most computationally intensive MC task. We introduce a technique combining recent advancements generative models and quantum annealing...
In 2010 ATLAS has seen the first proton-proton collisions at 7 TeV. This year a collision rate of nearly 10 MHz been achieved. Events potential interest for physics analysis are selected by three-level trigger system, with final recording about 200 Hz. The level (LI) is implemented in customized hardware, two levels high (HLT) software triggers. selection described Trigger Configuration form menus, each which contains 400 signatures. Each signature corresponds to chain algorithms reconstruct...
Hyper-Kamiokande (Hyper-K) is the next-generation water Cherenkov neutrino experiment, building on success of its predecessor Super-Kamiokande. To match increased precision and reduced statistical errors new detectors, improvements to event reconstruction selection are required suppress backgrounds minimise systematic errors. Machine learning has potential provide these enhancements, enabling measurements that Hyper-K aims perform. This paper provides an overview areas where machine being...