HARMONI first light spectroscopy for the ELT: geometrical calibration in the data reduction software
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11452 (2020) 114522t-114522t-16
HARMONI: Characterising the line-spread-function with a tunable Fabry-Pérot etalon
Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11451 (2020) 114515w-114515w-6
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)
Dual effects of ram pressure on star formation in multiphase disk galaxies with strong stellar feedback
Astrophysical Journal IOP Science 905:1 (2020) 31