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In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property. In our system, we use a standard RGB camera and leverage an off-the-shelf…

Computer Vision and Pattern Recognition · Computer Science 2019-08-23 Chunyu Li , Yusuke Monno , Hironori Hidaka , Masatoshi Okutomi

We introduce a denoising method for four-dimensional scanning transmission electron microscopy (4D-STEM) that relies on processing local, scan position-independent electron event-sparse data stacks, called event-sparse stack denoising. This…

Medical Physics · Physics 2025-12-12 Gregory Nordahl , Rebekka Klemmt , Espen Drath Bøjesen

A superconducting radio-frequency (SRF) photo injector is in operation at the electron linac for beams with high brilliance and low emittance (ELBE) radiation center and generates continuous wave (CW) electron beams with high average…

Accelerator Physics · Physics 2023-03-22 S. Ma , A. Arnold , P. Michel , P. Murcek , A. Ryzhov , J. Schaber , R. Steinbruck , P. Evtushenko , J. Teichert , W. Hillert , R. Xiang , J. Zhu

The coherent elastic scattering of neutrinos on nuclei, also known as CEvNS, has been studied for several years by the COHERENT program of experiments using neutrinos from stopped-pion decays produced at the Spallation Neutron Source (SNS).…

Light scattering imposes a major obstacle for imaging objects seated deeply in turbid media, such as biological tissues and foggy air. Diffuse optical tomography (DOT) tackles scattering by volumetrically recovering the optical absorbance…

Four-dimensional Scanning Transmission Electron Microscopy (4D-STEM) is a powerful technique for high-resolution and high-precision materials characterization at multiple length scales, including the characterization of beam-sensitive…

Applied Physics · Physics 2023-08-11 Hsu-Chih Ni , Renliang Yuan , Jiong Zhang , Jian-Min Zuo

Current Neural Radiance Fields (NeRF) can generate photorealistic novel views. For editing 3D scenes represented by NeRF, with the advent of generative models, this paper proposes Inpaint4DNeRF to capitalize on state-of-the-art stable…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Han Jiang , Haosen Sun , Ruoxuan Li , Chi-Keung Tang , Yu-Wing Tai

A new Small Angle Neutron Scattering instrument is proposed for the European Spallation Source. The pulsed source requires a time-of-flight analysis of the gathered neutrons at the detector. The optimal instrument length is found to be…

Optical phase-space functions describe spatial and angular information simultaneously; examples include light fields in ray optics and Wigner functions in wave optics. Measurement of phase-space enables digital refocusing, aberration…

Optics · Physics 2017-08-02 Hsiou-Yuan Liu , Jingshan Zhong , Laura Waller

Ultrafast electron diffraction (UED) is a technique in which short-pulse electron beams can probe the femtosecond-scale evolution of atomic structure in matter driven far from equilibrium. As an accelerator physics challenge, UED imposes…

Neutron correlation spectroscopy can exceed direct spectroscopy in the incoming beam intensity by up to two orders of magnitude at the same energy resolution. However, the propagation of the counting noise in the correlation algorithm of…

Instrumentation and Detectors · Physics 2016-09-13 F. Mezei , M. T. Caccamo , F. Migliardo , S. Magazù

We consider an inverse elastic scattering problem of simultaneously reconstructing a rigid obstacle and the excitation sources using near-field measurements. A two-phase numerical method is proposed to achieve the co-inversion of multiple…

Numerical Analysis · Mathematics 2023-07-19 Yan Chang , Yukun Guo , Hongyu Liu , Deyue Zhang

The non-destructive readout mode of a detector allows its pixels to be read multiple times during integration, generating a series of "up-the-ramp" images that keep accumulating photons between successive frames. Since the noise is…

Instrumentation and Methods for Astrophysics · Physics 2025-01-16 Guanghuan Wang , Hu Zhan , Zun Luo , Chengqi Liu , Youhua Xu , Chun Lin , Yanfeng Wei , WenLong Fan

We address the problem of recovering a time-varying 4D distribution from a sparse sequence of 2D projections - analogous to novel-view synthesis from sparse cameras, but applied to the 4D transverse phase space density $\rho(x,p_x,y,p_y)$…

Accelerator Physics · Physics 2026-04-08 Alexander Scheinker , Alexander Plastun , Peter Ostroumov

Here we show that compressive sensing allow 4-dimensional (4-D) STEM data to be obtained and accurately reconstructed with both high-speed and low fluence. The methodology needed to achieve these results compared to conventional 4-D…

The power of the proton beam of a high-power spallation neutron source generally ranges from 100 kW to several MW. The distribution of the power density of the beam on the target is critical for the stable operation of the high-power…

Accelerator Physics · Physics 2021-08-30 Yang Xiaoyun , Jing Hantao , Tian Binbin , Ou Li , Sun Yankun , Gao Xiaolong

SBND is the near detector of the Short-Baseline Neutrino program at Fermilab. Its location near to the Booster Neutrino Beam source and relatively large mass will allow the study of neutrino interactions on argon with unprecedented…

Instrumentation and Detectors · Physics 2024-10-15 SBND Collaboration , P. Abratenko , R. Acciarri , C. Adams , L. Aliaga-Soplin , O. Alterkait , R. Alvarez-Garrote , C. Andreopoulos , A. Antonakis , L. Arellano , J. Asaadi , W. Badgett , S. Balasubramanian , V. Basque , A. Beever , B. Behera , E. Belchior , M. Betancourt , A. Bhat , M. Bishai , A. Blake , B. Bogart , J. Bogenschuetz , D. Brailsford , A. Brandt , S. Brickner , A. Bueno , L. Camilleri , D. Caratelli , D. Carber , B. Carlson , M. Carneiro , R. Castillo , F. Cavanna , H. Chen , S. Chung , M. F. Cicala , R. Coackley , J. I. Crespo-Anadón , C. Cuesta , O. Dalager , R. Darby , M. Del Tutto , V. Di Benedetto , Z. Djurcic , K. Duffy , S. Dytman , A. Ereditato , J. J. Evans , A. Ezeribe , C. Fan , A. Filkins , B. Fleming , W. Foreman , D. Franco , I. Furic , A. Furmanski , S. Gao , D. Garcia-Gamez , S. Gardiner , G. Ge , I. Gil-Botella , S. Gollapinni , P. Green , W. C. Griffith , R. Guenette , P. Guzowski , L. Hagaman , A. Hamer , P. Hamilton , M. Hernandez-Morquecho , C. Hilgenberg , B. Howard , Z. Imani , C. James , R. S. Jones , M. Jung , T. Junk , D. Kalra , G. Karagiorgi , K. Kelly , W. Ketchum , M. King , J. Klein , L. Kotsiopoulou , T. Kroupová , V. A. Kudryavtsev , J. Larkin , H. Lay , R. LaZur , J. -Y. Li , K. Lin , B. Littlejohn , W. C. Louis , X. Luo , A. Machado , P. Machado , C. Mariani , F. Marinho , A. Mastbaum , K. Mavrokoridis , N. McConkey , B. McCusker , V. Meddage , D. Mendez , M. Mooney , A. F. Moor , C. A. Moura , S. Mulleriababu , A. Navrer-Agasson , M. Nebot-Guinot , V. C. L. Nguyen , F. Nicolas-Arnaldos , J. Nowak , S. Oh , N. Oza , O. Palamara , N. Pallat , V. Pandey , A. Papadopoulou , H. B. Parkinson , J. Paton , L. Paulucci , Z. Pavlovic , D. Payne , L. Pelegrina-Gutiérrez , V. L. Pimentel , J. Plows , F. Psihas , G. Putnam , X. Qian , R. Rajagopalan , P. Ratoff , H. Ray , M. Reggiani-Guzzo , M. Roda , M. Ross-Lonergan , I. Safa , A. Sanchez-Castillo , P. Sanchez-Lucas , D. W. Schmitz , A. Schneider , A. Schukraft , H. Scott , E. Segreto , J. Sensenig , M. Shaevitz , B. Slater , M. Soares-Nunes , M. Soderberg , S. Söldner-Rembold , J. Spitz , N. J. C. Spooner , M. Stancari , G. V. Stenico , T. Strauss , A. M. Szelc , D. Totani , M. Toups , C. Touramanis , L. Tung , G. A. Valdiviesso , R. G. Van de Water , A. Vázquez-Ramos , L. Wan , M. Weber , H. Wei , T. Wester , A. White , A. Wilkinson , P. Wilson , T. Wongjirad , E. Worcester , M. Worcester , S. Yadav , E. Yandel , T. Yang , L. Yates , B. Yu , J. Yu , B. Zamorano , J. Zennamo , C. Zhang

We present Stable Part Diffusion 4D (SP4D), a framework for generating paired RGB and kinematic part videos from monocular inputs. Unlike conventional part segmentation methods that rely on appearance-based semantic cues, SP4D learns to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Hao Zhang , Chun-Han Yao , Simon Donné , Narendra Ahuja , Varun Jampani

The spectral numerical mode-matching (SNMM) method is developed to simulate the 3D layered multi-region structures. The SNMM method is a semi-analytical solver having the properties of dimensionality reduction to reduce computational costs;…

Optics · Physics 2019-07-10 Jie Liu , Na Liu , Qing Huo Liu

Dynamic urban scene modeling is a rapidly evolving area with broad applications. While current approaches leveraging neural radiance fields or Gaussian Splatting have achieved fine-grained reconstruction and high-fidelity novel view…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Yuru Xiao , Zihan Lin , Chao Lu , Deming Zhai , Kui Jiang , Wenbo Zhao , Wei Zhang , Junjun Jiang , Huanran Wang , Xianming Liu