Denoising application for electron spectrometer in laser-driven ion acceleration using a Simulation-supervised Learning based CDAE

Engineering & Materials Science

• Spectrometers 100%
• Supervised learning 89%
• Electrons 85%
• Ions 77%
• Electron beams 66%
• Lasers 64%
• Deep learning 50%
• Fluxes 45%
• Radiation 44%
• High power lasers 38%
• Metal foil 30%
• Multilayer neural networks 29%
• Signal to noise ratio 23%
• Machine learning 20%
• Experiments 10%

Physics & Astronomy

• learning 92%
• spectrometers 64%
• education 41%
• ions 39%
• lasers 37%
• electrons 35%
• simulation 32%
• electron beams 30%
• machine learning 26%
• background radiation 25%
• background noise 23%
• retrieval 22%
• high power lasers 20%
• foils 18%
• energy spectra 17%
• signal to noise ratios 17%
• radiation 11%
• interactions 8%