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A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD code GORGON is used to generate an ensemble of implosions with…

Plasma Physics · Physics 2023-10-11 Michael E. Glinsky , Kathryn Maupin

For filter-based magnetographs, the linear calibration method under the weak-field assumption is usually adopted; this leads to magnetic saturation effect in the regions with strong magnetic field. This article explores a new method to…

Instrumentation and Methods for Astrophysics · Physics 2020-02-07 JingJing Guo , XianYong Bai , YuanYong Deng , Hui Liu , JiaBen Lin , JiangTao Su , Xiao Yang , KaiFan Ji

The elastic backward proton-deuteron scattering is analyzed within a fully covariant approach based on the invariant expansion of the reaction amplitude. The method of calculation of any observables for any reaction mechanism is developed.…

Nuclear Theory · Physics 2009-11-06 A. Yu. Illarionov , G. I. Lykasov

The ejection of material during laser ablation gives rise to the development of discontinuities in the ambient gas. Several of these discontinuities are observed and characterized, including externally and internally propagating shock…

Optics · Physics 2013-09-10 Ardian B. Gojani , Jahja Kokaj , Shigeru Obayashi

The role of slow-mode MHD shocks in magnetic reconnection is one of great importance for energy conversion and transport, but in many astrophysical plasmas the plasma is not fully ionised. In this paper, we investigate, using numerical…

Solar and Stellar Astrophysics · Physics 2016-10-27 Andrew Hillier , Shinsuke Takasao , Naoki Nakamura

We discuss a method that employs a multilayer perceptron to detect deviations from a reference model in large multivariate datasets. Our data analysis strategy does not rely on any prior assumption on the nature of the deviation. It is…

High Energy Physics - Phenomenology · Physics 2021-09-24 Raffaele Tito D'Agnolo , Gaia Grosso , Maurizio Pierini , Andrea Wulzer , Marco Zanetti

We model strong forward shocks in young supernova remnants with efficient particle acceleration where a nonresonant instability driven by the cosmic ray current amplifies magnetic turbulence in the shock precursor. Particle injection,…

High Energy Astrophysical Phenomena · Physics 2015-05-13 Andrey E. Vladimirov , Andrei M. Bykov , Donald C. Ellison

Shock wave refraction at a sharp density interface is a classical problem in hydrodynamics. Presently, we investigate the strongly planar refraction of a magnetohydrodynamic (MHD) shock wave at an inclined density interface. A magnetic…

Fluid Dynamics · Physics 2022-03-14 Fang Chen , Vincent Wheatley , Ravi Samtaney

Streamer ionization fronts are pulled fronts propagating into a linearly unstable state; the spatial decay of the initial condition of a planar front selects dynamically one specific long time attractor out of a continuous family. A…

Pattern Formation and Solitons · Physics 2009-11-13 Gianne Derks , Ute Ebert , Bernard Meulenbroek

The interaction of crack fronts with asperities is central to the criteria of fracture in heterogeneous materials and for predicting fracture surface formation. It is known how dynamic crack fronts respond to small, 1st-order,…

Soft Condensed Matter · Physics 2025-09-17 Itamar Kolvin , Mokhtar Adda-Bedia

The basic concept of multi-dimensional limiting process (MLP) on unstructured grids is inherited and modified for improving shock stabilities and reducing numerical dissipation on smooth regions. A relaxed version of MLP condition, simply…

Numerical Analysis · Mathematics 2017-12-07 Fan Zhang , Jun Liu , Biaosong Chen

Ultrasound reflection tomography is widely used to image large complex specimens that are only accessible from a single side, such as well systems and nuclear power plant containment walls. Typical methods for inverting the measurement rely…

Image and Video Processing · Electrical Eng. & Systems 2018-10-01 Hani Almansouri , S. V. Venkatakrishnan , Gregery T. Buzzard , Charles A. Bouman , Hector Santos-Villalobos

Accurate prediction of damage and fracture evolution is critical for the safety design and preventive maintenance of engineering structures, however existing computational methods face significant limitations. On one hand, discrete damage…

Computational Physics · Physics 2025-07-01 Roshan Philip Saji , Panos Pantidis , Mostafa E. Mobasher

The nature of the magnetic structure arising from ion specular reflection in shock compression studies is examined by means of 1d particle in cell simulations. Propagation speed, field profiles and supporting currents for this magnetic…

Plasma Physics · Physics 2017-03-29 Renaud Gueroult , Yukiharu Oshawa , Nathaniel J. Fisch

Based on the statistical theory of light nucleus reactions (STLN), the description of the complicated emission processes of proton and light composite charged particles are further improved through considering the effects of Coulomb…

Nuclear Theory · Physics 2020-04-01 Jiaqi Hu , Xiaojun Sun , Jingshang Zhang , Sheng Wang , Sheng Wang , Yinlu Han

The present work reports new experiments of detonation diffraction in a 2D channel configuration in stoichiometric mixtures of ethylene, ethane, and methane with oxygen as oxidizer. The flow field details are obtained using high-speed…

Fluid Dynamics · Physics 2022-11-15 Farzane Zangene , Qiang Xiao , Matei Radulescu

The objective of this study is to determine the critical conditions for a detonation wave formation following a Mach reflection of two incident shocks. This problem is central to the propagation mechanism of cellular detonations, where such…

Fluid Dynamics · Physics 2023-12-11 Farzane Zangene , Matei Radulescu

When a lambda hyperon was embedded in a nucleus, it can form a hypernucleus. The lifetime and its mass dependence of stable hypernuclei provide information about the weak decay of lambda hyperon inside nuclear medium. This work will…

Instrumentation and Detectors · Physics 2015-06-17 Xi-Yu Qiu , L. Tang , A. Margaryan , Bi-Tao Hu , Xi-Meng Chen

In recent years, artificial neural networks and their applications for large data sets have became a crucial part of scientific research. In this work, we implement the Multilayer Perceptron (MLP), which is a class of feedforward artificial…

Nuclear Theory · Physics 2021-05-10 Esra Yüksel , Derya Soydaner , Hüseyin Bahtiyar

Photomultiplier tubes (PMTs) are widely used as photon sensors for neutrino and dark matter detection. Accurate charge and time information extracted from PMT waveforms is crucial for event reconstruction. An algorithm based on…

Instrumentation and Detectors · Physics 2026-03-23 Xingyi Lin , Jinghuan Xu , Yongbo Huang , Jingzhe Tang , Tianying Xiao , Yingke Li