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We propose the multi-frequency synthesis (MFS) algorithm with spectral correction of frequency-dependent source brightness distribution based on maximum entropy method. In order to take into account the spectral terms of n-th order in the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 Anisa T. Bajkova , Alexander B. Pushkarev

Multivariate time series (MTS) data often include a heterogeneous mix of non-Gaussian distributional features (asymmetry, multimodality, heavy tails) and data types (continuous and discrete variables). Traditional MTS methods based on…

Methodology · Statistics 2025-02-25 John Zito , Daniel R. Kowal

Nonlinear Thomson scattering of an electron motion in a combining field constituted by an elliptically polarized laser and a background magnetic field is investigated. The dependence of the electron trajectories, the fundamental frequency,…

Optics · Physics 2022-06-28 Hong Xiao , Cui-Wen Zhang , Hai-Bo Sang , Bai-Song Xie

For the last decade numerous researchers have been trying to develop experimental techniques to use X-ray Thomson scattering as a method to measure the temperature, electron density, and ionization state of high energy density plasmas such…

Plasma Physics · Physics 2012-10-02 J. Nilsen , W. R. Johnson , K. T. Cheng

In order to prevent velocity, pressure, and temperature spikes at material discontinuities occurring when the interface-capturing schemes inconsistently simulate compressible multi-material flows(when the specific heats ratio is…

Computational Physics · Physics 2020-12-29 Zhiwei He , Yousheng Zhang , Li Li , Baolin Tian

We present a model of x-ray thermal diffuse scattering (TDS) from a cubic polycrystal with an arbitrary crystallographic texture, based on the classic approach of Warren. We compare the predictions of our model with femtosecond x-ray…

Applied Physics · Physics 2025-08-07 P. G. Heighway , D. J. Peake , T. Stevens , J. S. Wark , B. Albertazzi , S. J. Ali , L. Antonelli , M. R. Armstrong , C. Baehtz , O. B. Ball , S. Banerjee , A. B. Belonoshko , C. A. Bolme , V. Bouffetier , R. Briggs , K. Buakor , T. Butcher , S. Di Dio Cafiso , V. Cerantola , J. Chantel , A. Di Cicco , A. L. Coleman , J. Collier , G. Collins , A. J. Comley , F. Coppari , T. E. Cowan , G. Cristoforetti , H. Cynn , A. Descamps , F. Dorchies , M. J. Duff , A. Dwivedi , C. Edwards , J. H. Eggert , D. Errandonea , G. Fiquet , E. Galtier , A. Laso Garcia , H. Ginestet , L. Gizzi , A. Gleason , S. Goede , J. M. Gonzalez , M. G. Gorman , M. Harmand , N. Hartley , C. Hernandez-Gomez , A. Higginbotham , H. Höppner , O. S. Humphries , R. J. Husband , T. M. Hutchinson , H. Hwang , D. A. Keen , J. Kim , P. Koester , Z. Konopkova , D. Kraus , A. Krygier , L. Labate , A. E. Lazicki , Y. Lee , H-P. Liermann , P. Mason , M. Masruri , B. Massani , E. E. McBride , C. McGuire , J. D. McHardy , D. McGonegle , R. S. McWilliams , S. Merkel , G. Morard , B. Nagler , M. Nakatsutsumi , K. Nguyen-Cong , A-M. Norton , I. I. Oleynik , C. Otzen , N. Ozaki , S. Pandolfi , A. Pelka , K. A. Pereira , J. P. Phillips , C. Prescher , T. Preston , L. Randolph , D. Ranjan , A. Ravasio , J. Rips , D. Santamaria-Perez , D. J. Savage , M. Schoelmerich , J-P. Schwinkendorf , S. Singh , J. Smith , R. F. Smith , A. Sollier , J. Spear , C. Spindloe , M. Stevenson , C. Strohm , T-A. Suer , M. Tang , M. Toncian , T. Toncian , S. J. Tracy , A. Trapananti , T. Tschentscher , M. Tyldesley , C. E. Vennari , T. Vinci , S. C. Vogel , T. J. Volz , J. Vorberger , J. T. Willman , L. Wollenweber , U. Zastrau , E. Brambrink , K. Appel , M. I. McMahon

Transition states (TSs) are crucial for understanding reaction mechanisms, yet their exploration is limited by the complexity of experimental and computational approaches. Here we propose TS-DFM, a flow matching framework that predicts TSs…

Machine Learning · Computer Science 2025-11-24 Yufei Luo , Xiang Gu , Jian Sun

The nonextensive statistical ensembles are revisited for the complex systems with long-range interactions and long-range correlations. An approximation, the value of nonextensive parameter (1-q) is assumed to be very tiny, is adopted for…

Statistical Mechanics · Physics 2020-02-26 Yahui Zheng , Jiulin Du , Linxia Liu , Huijun Kong

Nonlinear Fourier division Multiplexing (NFDM) can be realized from modulating the discrete nonlinear spectrum of an $N$-solitary waveform. To generate an $N$-solitary waveform from desired discrete spectrum (eigenvalue and discrete…

Numerical Analysis · Mathematics 2016-05-23 Vahid Aref

Kappa distributions are widely used in space plasma physics to model velocity distribution functions with heavy tails. Parameter estimation in these distributions is, however, complicated by the fact that the kappa distribution does not…

Methodology · Statistics 2026-05-25 Leonardo Herrera-Fuenzalida , Sergio Davis

Despite the recent visually-pleasing results achieved, the massive computational cost has been a long-standing flaw for diffusion probabilistic models (DPMs), which, in turn, greatly limits their applications on resource-limited platforms.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Xingyi Yang , Daquan Zhou , Jiashi Feng , Xinchao Wang

Statistical properties of a local fluctuational fluxes measured at the plasma edge are investigated in the work. It's shown that the amplitudes increments of the local fluctuational fluxes decrease by power law. For approximation of…

Plasma Physics · Physics 2012-09-12 Viacheslav Saenko

A class of parametric distribution functions has been proposed in [C.DiTroia, Plasma Physics and Controlled Fusion,54,2012] as equilibrium distribution functions (EDFs) for charged particles in fusion plasmas, representing supra-thermal…

Plasma Physics · Physics 2018-10-17 Claudio Di Troia

We propose estimating the scale parameter (mean of the eigenvalues) of the scatter matrix of an unspecified elliptically symmetric distribution using weights obtained by solving Tyler's M-estimator of the scatter matrix. The proposed…

Methodology · Statistics 2023-05-09 Esa Ollila , Daniel P. Palomar , Frederic Pascal

Velocity distribution functions (VDFs) that exhibit a power-law dependence on the high-energy tail have been the subject of intense research by the plasma physics community. Such functions, known as kappa or superthermal distributions, have…

Plasma Physics · Physics 2016-02-23 Rudi Gaelzer , Luiz Fernando Ziebell

When a solid metal is struck, its free surface can eject fast and fine particles. Despite the many diagnostics that have been implemented to measure the mass, size, velocity or temperature of ejecta, these efforts provide only a partial…

We consider X-ray coherent scatter imaging, where the goal is to reconstruct momentum transfer profiles (spectral distributions) at each spatial location from multiplexed measurements of scatter. Each material is characterized by a unique…

The point spread function (PSF) of a translation invariant imaging system is its impulse response, which cannot always be measured directly. This is the case in high energy X-ray radiography, and it must be estimated from images of…

Numerical Analysis · Mathematics 2017-09-27 Kevin T. Joyce , Johnathan M. Bardsley , Aaron Luttman

Frequent false alarms impede the promotion of unsupervised anomaly detection algorithms in industrial applications. Potential characteristics of false alarms depending on the trained detector are revealed by investigating density…

Computer Vision and Pattern Recognition · Computer Science 2023-02-03 Ji Qiu , Hongmei Shi , Yu Hen Hu , Zujun Yu

While it's always possible to compute a variational approximation to a posterior distribution, it can be difficult to discover problems with this approximation. We propose two diagnostic algorithms to alleviate this problem. The…

Machine Learning · Statistics 2018-10-15 Yuling Yao , Aki Vehtari , Daniel Simpson , Andrew Gelman