A5101619068- Big Data Technologies and Applications
- Scientific Computing and Data Management
- Radiation Detection and Scintillator Technologies
- Nuclear reactor physics and engineering
- Computational Physics and Python Applications
- Distributed and Parallel Computing Systems
- Radiation Therapy and Dosimetry
- Distributed Sensor Networks and Detection Algorithms
- Electron and X-Ray Spectroscopy Techniques
Lund University
2022-2023
The full optimization of the design and operation instruments whose functioning relies on interaction radiation with matter is a super-human task, given large dimensionality space possible choices for geometry, detection technology, materials, data-acquisition, information-extraction techniques, interdependence related parameters. On other hand, massive potential gains in performance over standard, "experience-driven" layouts are principle within our reach if an objective function fully...
The advent of deep learning has yielded powerful tools to automatically compute gradients computations. This is because training a neural network equates iteratively updating its parameters using gradient descent find the minimum loss function. Deep then subset broader paradigm; workflow with free that end-to-end optimisable, provided one can keep track all way through. work introduces neos: an example implementation following this paradigm fully differentiable high-energy physics workflow,...