2025-08-16 07:02 |
Ion-motion simulations of a plasma-wakefield experiment at FLASHForward
/ Kalvik, D (U. Oslo (main)) ; Drobniak, P (U. Oslo (main)) ; Peña, F (U. Oslo (main) ; LMU Munich (main)) ; Lindstrøm, C A (U. Oslo (main)) ; Beinortaite, J (DESY) ; Boulton, L (DESY) ; Caminal, P (DESY) ; Garland, J (DESY) ; Loisch, G (DESY) ; Svensson, J Björklund (DESY) et al.
In plasma-based acceleration, an ultra-relativistic particle bunch$\unicode{x2014}$or an intense laser beam$\unicode{x2014}$is used to expel electrons from its propagation path, forming a wake that is devoid of electrons. The ions, being significantly more massive, are often assumed to be stationary. [...]
arXiv:2505.24299.-
2025 - 4 p.
- Published in : JACoW IPAC 25 (2025) 1462-1465
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In : International Particle Accelerator Conference (IPAC'25), Taipei, Taiwan, 1-6 June 2025, pp.1462-1465
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2025-08-15 06:26 |
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2025-08-15 06:26 |
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2025-08-15 06:26 |
Micromegas detector response test at the new EAR2 neutron beam of n_TOF facility in view of the 243Am(n,f) measurement
/ Kyritsis, Nikolaos (Natl. Tech. U., Athens) ; Diakaki, Maria (Natl. Tech. U., Athens) ; Michalopoulou, Veatriki (Natl. Tech. U., Athens) ; Eleme, Zinovia (Ioannina U.) ; Patronis, Nikolaos (Ioannina U.) ; Michael Kokkoris (Natl. Tech. U., Athens) ; Vlastou, Roza (Natl. Tech. U., Athens)
/n_TOF Collaboration
A key ingredient of the design of advanced nuclear systems, such as Generation IV reactors and accelerator driven systems, is the study of neutron induced fission reactions. Accurate cross-section data on key actinides is needed both for their operation and the handling of the nuclear waste. [...]
2024 - 6 p.
- Published in : HNPS Adv. Nucl. Phys. 30 (2024) 19-24
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2025-08-15 06:26 |
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2025-08-15 06:26 |
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2025-08-15 06:26 |
Accelerating Machine Learning Inference on GPUs with SYCL
/ Panagou, Ioanna-Maria (Thessaly U.) ; Bellas, Nikolaos (Thessaly U.) ; Moneta, Lorenzo (CERN) ; Sengupta, Sanjiban (CERN)
Recently, machine learning has established itself as a valuable tool for researchers to analyze their data and draw conclusions in various scientific fields, such as High Energy Physics (HEP). Commonly used machine learning libraries, such as Keras and PyTorch, might provide functionality for inference, but they only support their own models and are constrained by heavy dependencies, which render their deployment on embedded or bare-metal environments infeasible. [...]
2024 - 2 p.
- Published in : ACM IWOCL '24 (2024) 17
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2025-08-15 06:26 |
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2025-08-14 07:38 |
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