A. Thorley

ORCID: 0000-0002-8454-654X
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About
Contact & Profiles
Research Areas
  • Neutrino Physics Research
  • Astrophysics and Cosmic Phenomena
  • Particle physics theoretical and experimental studies
  • Particle accelerators and beam dynamics
  • Dark Matter and Cosmic Phenomena
  • Muon and positron interactions and applications
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Scientific Measurement and Uncertainty Evaluation
  • Particle Accelerators and Free-Electron Lasers
  • Medical Imaging Techniques and Applications
  • Islanding Detection in Power Systems
  • Electromagnetic Compatibility and Measurements

University of Liverpool
2011-2016

University of Alberta
2011-2013

University of California, Irvine
2013

Chonnam National University
2013

Boston University
2013

Institute of Particle Physics
2011-2013

National Centre for Nuclear Research
2011

Daresbury Laboratory
2011

Cockcroft Institute
2011

The T2K experiment studies oscillations of an off-axis muon neutrino beam between the J-PARC accelerator complex and Super-Kamiokande detector. Special emphasis is placed on measuring mixing angle theta_13 by observing electron appearance via sub-dominant to oscillation, searching for CP violation in lepton sector. includes a sophisticated, off-axis, near detector, ND280, situated 280 m downstream production target order measure properties understand better interactions at energy scale below...

10.1088/1748-0221/8/10/p10019 article EN cc-by Journal of Instrumentation 2013-10-17

10.1016/j.nima.2011.08.021 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2011-08-21

Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this whilst retaining the fast inference speed of learning, we propose VR-Net, a novel cascaded variational network for unsupervised deformable registration. Using variable splitting optimization scheme, first convert problem, established in generic framework, into two sub-problems, one with point-wise, closed-form...

10.48550/arxiv.2105.12227 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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