SOXS end-to-end simulator: development and applications for pipeline design
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11450 (2020) 114501b-114501b-16
The SOXS data-reduction pipeline
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11452 (2020) 114522d-114522d-15
The development status of the NIR Arm of the new SoXS instrument at the ESO/NTT telescope
SPIE, the international society for optics and photonics (2020) 90
Automation and control of laser wakefield accelerators using Bayesian optimization
Nature Communications Nature Research 11:1 (2020) 6355
Abstract:
Laser wakefield accelerators promise to revolutionize many areas of accelerator science. However, one of the greatest challenges to their widespread adoption is the difficulty in control and optimization of the accelerator outputs due to coupling between input parameters and the dynamic evolution of the accelerating structure. Here, we use machine learning techniques to automate a 100 MeV-scale accelerator, which optimized its outputs by simultaneously varying up to six parameters including the spectral and spatial phase of the laser and the plasma density and length. Most notably, the model built by the algorithm enabled optimization of the laser evolution that might otherwise have been missed in single-variable scans. Subtle tuning of the laser pulse shape caused an 80% increase in electron beam charge, despite the pulse length changing by just 1%.MIGHTEE: Are giant radio galaxies more common than we thought?
(2020)