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Separated flows past complex geometries are modelled by discrete vortex techniques. The flows are assumed to be rotational and inviscid, and a new technique is described to determine the streamfunctions for linear shear profiles. The…

chao-dyn · Physics 2007-05-23 P. Franzese , L. Zannetti

Resonant inelastic x-ray scattering (RIXS) has become a powerful tool in the study of the electronic structure of condensed matter. Although the linewidths of many RIXS features are narrow, the experimental broadening can often hamper the…

Strongly Correlated Electrons · Physics 2012-02-13 J. Laverock , A. R. H. Preston , D. Newby , K. E. Smith , S. B. Dugdale

Inelastic x-ray scattering (IXS) now a widely used technique for studying the dynamics of electrons in condensed matter. We previously posed a solution to the phase problem for IXS [P. Abbamonte, et. al., Phys. Rev. Lett. {\bf 92}, 237401…

Strongly Correlated Electrons · Physics 2013-05-29 P. Abbamonte , J. P. Reed , Y. I. Joe , Yu Gan , D. Casa

Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers and their weights, accurately. For estimation of signature and fractional…

Computer Vision and Pattern Recognition · Computer Science 2017-11-06 Sara Khoshsokhan , Roozbeh Rajabi , Hadi Zayyani

3D Gaussian splatting, emerging as a groundbreaking approach, has drawn increasing attention for its capabilities of high-fidelity reconstruction and real-time rendering. However, it couples the appearance and geometry of the scene within…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Tian-Xing Xu , Wenbo Hu , Yu-Kun Lai , Ying Shan , Song-Hai Zhang

U-Nets have achieved tremendous success in medical image segmentation. Nevertheless, it may suffer limitations in global (long-range) contextual interactions and edge-detail preservation. In contrast, Transformer has an excellent ability to…

Computer Vision and Pattern Recognition · Computer Science 2022-06-03 Nan Wang , Shaohui Lin , Xiaoxiao Li , Ke Li , Yunhang Shen , Yue Gao , Lizhuang Ma

In this paper, we proposed a central moment discrete unified gas-kinetic scheme (DUGKS) for multiphase flows with large density ratio and high Reynolds number. Two sets of kinetic equations with central-moment-based multiple relaxation time…

Fluid Dynamics · Physics 2023-04-05 Chunhua Zhang , Lian-Ping Wang , Hong Liang , Zhaoli Guo

We develop X-ray Multi-modal Intrinsic-Speckle-Tracking (MIST), a form of X-ray speckle-tracking that is able to recover both the position-dependent phase shift and the position-dependent small-angle X-ray scattering (SAXS) signal of a…

Image and Video Processing · Electrical Eng. & Systems 2021-11-16 Konstantin M. Pavlov , David M. Paganin , Heyang Li , Sebastien Berujon , Hélène Rougé-Labriet , Emmanuel Brun

This work explores power handling solutions for high-field, highly-radiative negative triangularity (NT) reactors based around the MANTA concept \cite{rutherford_manta_2024}. The divertor design is kept as simple as possible, opting for a…

In this paper, we study the mixed-integer nonlinear set given by a separable quadratic constraint on continuous variables, where each continuous variable is controlled by an additional indicator. This set occurs pervasively in optimization…

Optimization and Control · Mathematics 2022-09-07 Andres Gomez , Weijun Xie

This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation for accurate PatchMatch Multi-View Stereo (MVS). We observe that the heuristic depth hypothesis…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Hongjie Li , Yao Guo , Xianwei Zheng , Hanjiang Xiong

Convexity is a fundamental geometric prior that underlies many natural and man-made structures, yet remains challenging to impose effectively in end-to-end trainable segmentation networks. We revisit convexity from a functional perspective…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Shengzhe Chen , Hao Yan

New results from MAST are presented that focus on validating models in order to extrapolate to future devices. Measurements during start-up experiments have shown how the bulk ion temperature rise scales with the square of the reconnecting…

Plasma Physics · Physics 2017-08-02 A Kirk , J Adamek , RJ Akers , S Allan , L Appel , F Arese Lucini , M Barnes , T Barrett , N Ben Ayed , W Boeglin , J Bradley , P K Browning , J Brunner , P Cahyna , M Carr , F Casson , M Cecconello , C Challis , IT Chapman , S Chapman , S Conroy , N Conway , WA Cooper , M Cox , N Crocker , B Crowley , S Cardnell , J Chorley , G Cunningham , A Danilov , D Darrow , R Dendy , D Dickinson , W Dorland , B Dudson , L Easy , S Elmore , M Evans , T Farley , N Fedorczak , A Field , I Fitzgerald , M Fox , S Freethy , L Garzotti , YC Ghim , K Gi , M Gorelenkova , W Gracias , C Gurl , W Guttenfelder , C Ham , D Harting , E Havlickova , N Hawkes , T Hender , S Henderson , J Hillesheim , B Hnat , J Horacek , J Howard , D Howell , D Dunai , G Fishpool , K Gibson , J Harrison , E Highcock , B Huang , M Inomoto , R Imazawa , O Jones , K Kadowaki , S Kaye , D Keeling , M Kocan , L Kogan , M Komm , W Lai , J Leddy , H Leggate , K Imada , I Klimek , J Hollocombe , B Lipschultz , S Lisgo , YQ Liu , B Lloyd , B Lomanowski , V Lukin , G Maddison , J Madsen , J Mailloux , R Martin , G McArdle , I Lupelli , K McClements , B McMillan , A Meakins , H Meyer , C Michael , F Militello , J Milnes , G Motojima , D Muir , G Naylor , A Nielsen , M O'Brien , M O'Mullane , J Olsen , J Omotani , Y Ono , S Pamela , AW Morris , T O'Gorman , L Pangione , F Parra , A Patel , W Peebles , R Perez , S Pinches , L Piron , M Price , M Reinke , P Ricci , F Riva , C Roach , M Romanelli , D Ryan , S Saarelma , A Saveliev , R Scannell , A Schekochihin , S Sharapov , R Sharples , V Shevchenko , K Shinohara , S Silburn , J Simpson , A Stanier , J Storrs , H Summers , Y Takase , P Tamain , H Tanabe , H Tanaka , K Tani , D Taylor , D Thomas , N Thomas-Davies , A Thornton , M Turnyanskiy , M Valovic , R Vann , F Van Wyk , N Walkden , T Watanabe , H Wilson , M Wischmeier , T Yamada , J Young , S Zoletnik , the MAST Team , the EUROfusion MST1 Team

We present a non-iterative method to deconvolve the spatial response function or the point spread function (PSF) from images taken with the Suzaku X-ray Imaging Spectrometer (XIS). The method is optimized for analyses of extended sources…

Astrophysics · Physics 2015-05-13 Mutsumi Sugizaki , Tuneyoshi Kamae , Yoshitomo Maeda

We describe a new method for imaging ultrafast dynamics in condensed matter using inelastic x-ray scattering (IXS). We use the concepts of causality and irreversibility to construct a general solution to the inverse scattering problem (or…

Other Condensed Matter · Physics 2009-06-12 P. Abbamonte , G. C. L. Wong , D. Cahill , J. P. Reed , R. H. Coridan , N. W. Schmidt , G. H. Lai , Y. I. Joe , D. Casa

The paper develops an unfitted finite element method for solving the Darcy system of equations posed in a network of fractures embedded in a porous matrix. The approach builds on the Hughes--Masud stabilized formulation of the Darcy problem…

Numerical Analysis · Mathematics 2019-09-04 Alexey Y. Chernyshenko , Maxim A. Olshanskii

Efficient removal of helium ash is a critical requirement for the operation of fusion power plants, as its accumulation can dilute the core fuel and degrade plasma performance. While past studies suggested that helium exhaust in burning…

Plasma Physics · Physics 2025-07-25 Rebecca Masline , Michael Wigram , Dennis Whyte

In this paper we develop two new Tensor Alternating Steepest Descent algorithms for tensor completion in the low-rank $\star_{M}$-product format, whereby we aim to reconstruct an entire low-rank tensor from a small number of measurements…

Numerical Analysis · Mathematics 2025-06-13 Oliver Townsend , Sergey Dolgov , Silvia Gazzola , Misha Kilmer

Optical conductivity of the weakly doped two-dimensional repulsive Hubbard model on the square lattice with nearest and next nearest hoppings is calculated within the generalized dynamical-mean field (DMFT+\Sigma_p) approach which includes…

Strongly Correlated Electrons · Physics 2007-05-23 E. Z. Kuchinskii , I. A. Nekrasov , M. V. Sadovskii

We develop a class of mixed-integer formulations for disjunctive constraints intermediate to the big-M and convex hull formulations in terms of relaxation strength. The main idea is to capture the best of both the big-M and convex hull…

Optimization and Control · Mathematics 2025-05-20 Jan Kronqvist , Ruth Misener , Calvin Tsay