Measurement of the decay of laser-driven linear plasma wakefields
Physical Review E American Physical Society 108:5 (2023) 055211
Abstract:
We present measurements of the temporal decay rate of one-dimensional (1D), linear Langmuir waves excited by an ultrashort laser pulse. Langmuir waves with relative amplitudes of approximately 6% were driven by 1.7J, 50 fs laser pulses in hydrogen and deuterium plasmas of density ne0 = 8.4 × 1017 cm−3. The wakefield lifetimes were measured to be τH2wf = (9 ± 2) ps and τ D2wf = (16 ± 8) ps, respectively, for hydrogen and deuterium. The experimental results were found to be in good agreement with 2D particle-in-cell simulations. In addition to being of fundamental interest, these results are particularly relevant to the development of laser wakefield accelerators and wakefield acceleration schemes using multiple pulses, such as multipulse laser wakefield accelerators.CoordGate: efficiently computing spatially-varying convolutions in convolutional neural networks
British Machine Vision Association (2023)
Abstract:
Optical imaging systems are inherently limited in their resolution due to the point spread function (PSF), which applies a static, yet spatially-varying, convolution to the image. This degradation can be addressed via Convolutional Neural Networks (CNNs), particularly through deblurring techniques. However, current solutions face certain limitations in efficiently computing spatially-varying convolutions. In this paper we propose CoordGate, a novel lightweight module that uses a multiplicative gate and a coordinate encoding network to enable efficient computation of spatially-varying convolutions in CNNs. CoordGate allows for selective amplification or attenuation of filters based on their spatial position, effectively acting like a locally connected neural network. The effectiveness of the CoordGate solution is demonstrated within the context of U-Nets and applied to the challenging problem of image deblurring. The experimental results show that CoordGate outperforms existing approaches, offering a more robust and spatially aware solution for CNNs in various computer vision applications.Efficient prediction of attosecond two-colour pulses from an X-ray free-electron laser with machine learning
ArXiv 2311.14751 (2023)
Speed of sound in methane under conditions of planetary interiors
(2023)
Efficient micromirror confinement of sub-TeV cosmic rays in galaxy clusters
(2023)