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Different from traditional hyperspectral super-resolution approaches that focus on improving the spatial resolution, spectral super-resolution aims at producing a high-resolution hyperspectral image from the RGB observation with…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Yiqi Yan , Lei Zhang , Jun Li , Wei Wei , Yanning Zhang

Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilised for the…

The Rapid Cycling Synchrotron (RCS) in Chinese Spallation Neutron Source (CSNS) accelerates proton beam from 80Mev to 1.6GeV at a repetition rate of 25Hz. All dipole magnets of RCS are operated at AC with biased DC. Aiming at the properties…

Accelerator Physics · Physics 2016-08-16 Qing Li , Xian-jing Sun , Wen Kang , Chang-dong Deng , Wan Chen

For injection of beams into circular machines with different horizontal and vertical emittance acceptance, the injection efficiency can be increased if these beams are flat, i.e. if they feature unequal transverse emittances. Generation of…

Accelerator Physics · Physics 2011-08-01 Lars Groening

This paper explores the transition between Compton Scattering and Inverse Compton Scattering (ICS), which is characterized by an equal exchange of energy and momentum between the colliding particles (electrons and photons). This regime has…

Accelerator Physics · Physics 2023-04-19 L. Serafini , V. Petrillo , A. Bacci , C. Curatolo , I. Drebot , M. Rossetti Conti , A. R. Rossi

Image outpainting gains increasing attention since it can generate the complete scene from a partial view, providing a valuable solution to construct {360\textdegree} panoramic images. As image outpainting suffers from the intrinsic issue…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Kang Liao , Xiangyu Xu , Chunyu Lin , Wenqi Ren , Yunchao Wei , Yao Zhao

Mural image inpainting is far less explored compared to its natural image counterpart and remains largely unsolved. Most existing image-inpainting methods tend to take the target image as the only input and directly repair the damage to…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Luxi Li , Qin Zou , Fan Zhang , Hongkai Yu , Long Chen , Chengfang Song , Xianfeng Huang , Xiaoguang Wang , Qingquan Li

A white neutron beam line using the back-streaming neutrons from the spallation target at China Spallation Neutron Source (CSNS) is under construction. Different spectrometers mainly for nuclear data measurements to be installed in the…

Instrumentation and Detectors · Physics 2017-11-15 L. Y. Zhang , H. T. Jing , J. Y. Tang , Q. Li , X. C. Ruan , J. Ren , C. J. Ning , Y. J. Yu , Z. X. Tan , P. C. Wang , Y. C. He , X. Q. Wang

The Back-n white neutron beam line, which uses back-streaming white neutrons from the spallation target of the China Spallation Neutron Source, is used for nuclear data measurements. A Micromegas-based neutron detector with two variants was…

We extend Regularised Diffusion-Shock (RDS) filtering from Euclidean space $\mathbb{R}^2$ to the space of positions and orientations $\mathbb{M}_2 := \mathbb{R}^2 \times S^1$. This has numerous advantages, e.g. making it possible to enhance…

Differential Geometry · Mathematics 2025-05-26 Finn M. Sherry , Kristina Schaefer , Remco Duits

China Spallation Neutron Source (CSNS) will start commissioning in early 2018. The neutron spectra from the tungsten target bombarding by 1.6 GeV proton beam are very wide, namely white neutron spectra. Two white neutron beams schemed by…

Instrumentation and Detectors · Physics 2018-08-15 W. J. Ni , H. T. Jing , L. Y. Zhang , L Ou

We introduce regularised diffusion--shock (RDS) inpainting as a modification of diffusion--shock inpainting from our SSVM 2023 conference paper. RDS inpainting combines two carefully chosen components: homogeneous diffusion and…

Image and Video Processing · Electrical Eng. & Systems 2023-12-27 Kristina Schaefer , Joachim Weickert

Convolutional Neural Networks (CNN) based image reconstruction methods have been intensely used for X-ray computed tomography (CT) reconstruction applications. Despite great success, good performance of this data-based approach critically…

Computer Vision and Pattern Recognition · Computer Science 2019-01-31 Ziling Wu , Abdulaziz Alorf , Ting Yang , Ling Li , Yunhui Zhu

Small-angle neutron scattering (SANS) is a powerful technique for probing the nanoscale structure of materials. However, the fundamental limitations of neutron flux pose significant challenges for rapid, high-fidelity data acquisition…

China Spallation Neutron Source is a high intensity proton accelerator based facility, and its accelerator complex includes two main parts an H- linac and a rapid cycling synchrotron. The RCS accumulates the 80MeV proton beam, and…

Accelerator Physics · Physics 2015-06-25 Liu Renhong , Wang Min , Zhang JunSong , Wang GuangYuan

Inverse scattering problems are critical in electromagnetic imaging and medical diagnostics but are challenged by their nonlinearity and diverse measurement scenarios. This paper proposes a physics-informed deep contrast source inversion…

Computational Physics · Physics 2025-08-15 Haoran Sun , Daoqi Liu , Hongyu Zhou , Maokun Li , Shenheng Xu , Fan Yang

Controlling non-linear effects in the transverse dynamics of charged particle beams in circular accelerators opens new possibilities for controlling some of the beam properties. Beam splitting by crossing a stable 1D non-linear resonance is…

Accelerator Physics · Physics 2022-02-10 A. Bazzani , F. Capoani , M. Giovannozzi

Higher neutron current densities can provide convenience for neutron experiments. Using neutron optical focusing elements, large flux beams transported to sample can be achieved. As one kind of focusing elements, polycapillary lens is very…

State-of-the-art RGB texture synthesis algorithms rely on style distances that are computed through statistics of deep features. These deep features are extracted by classification neural networks that have been trained on large datasets of…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Sélim Ollivier , Yann Gousseau , Sidonie Lefebvre

The clinical application of cone-beam computed tomography (CBCT) is constrained by the inherent trade-off between radiation exposure and image quality. Ultra-sparse angular sampling, employed to reduce dose, introduces severe undersampling…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Junlin Wang , Jiancheng Fang , Peng Peng , Shaoyu Wang , Qiegen Liu