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Related papers: Fixed-Field Alternating-Gradient Accelerators

200 papers

Recent works by Bot-Fadili-Nguyen (arXiv:2510.22715) and by Jang-Ryu (arXiv:2510.23513) resolve long-standing iterate convergence questions for accelerated (proximal) gradient methods. In particular, Bot-Fadili-Nguyen prove weak convergence…

Optimization and Control · Mathematics 2025-11-11 Walaa M. Moursi , Andrew Naguib , Viktor Pavlovic , Stephen A. Vavasis

Particle accelerators have enabled forefront research in high energy physics and other research areas for more than half a century. Accelerators have directly contributed to 26 Nobel Prizes in Physics since 1939 as well as another 20 Nobel…

Accelerator Physics · Physics 2022-06-20 Javier Resta-López

Integrable nonlinear motion in accelerators has the potential to introduce a large betatron tune spread to suppress instabilities and to mitigate the effects of space charge and magnetic field errors. To create such an accelerator lattice…

Accelerator Physics · Physics 2012-07-18 S. Nagaitsev , V. Danilov

Nonlinear optics is a promising idea potentially opening the path towards achieving super high beam intensities in circular accelerators. Creation of a tune spread reaching 50% of the betatron tune would provide strong Landau damping and…

Accelerator Physics · Physics 2012-02-27 A. Valishev , S. Nagaitsev , V. Kashikhin , V. Danilov

The increasing diversity and complexity of transformer workloads at the edge present significant challenges in balancing performance, energy efficiency, and architectural flexibility. This paper introduces NX-CGRA, a programmable hardware…

Hardware Architecture · Computer Science 2025-11-24 Rohit Prasad

The self-consistent problem of the wave and particle spectrum is formulated and solved for acceleration of particles in a homogeneous magnetic field that varies periodically with time. It follows from the obtained solutions that when…

Accelerator Physics · Physics 2018-02-08 Olga Medvedeva

Two adaptive relaxation strategies are proposed for Anderson acceleration. They are specifically designed for applications in which mappings converge to a fixed point. Their superiority over alternative Anderson acceleration is demonstrated…

Numerical Analysis · Mathematics 2024-09-02 Nicolas Lepage-Saucier

The paper gives a short overview of the principles of particle accelerators, their historical development and the typical performance limitations. After an introduction to the basic concepts, the main emphasis is to sketch the layout of…

Accelerator Physics · Physics 2020-07-09 Massimo Ferrario , Bernhard J. Holzer

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with elevated health risks, where timely detection is pivotal for mitigating stroke-related morbidity. This study introduces an innovative hybrid methodology integrating…

Machine Learning · Computer Science 2025-10-08 Alireza Jafari , Fereshteh Yousefirizi , Vahid Seydi

This paper investigates the use of fixed-point Anderson acceleration method (AA) to a recently proposed hierarchical control framework. Due to its model-free property, the AA-based resulting hierarchical framework becomes more generic since…

Systems and Control · Electrical Eng. & Systems 2021-12-09 Xuan-Huy Pham , Mazen Alamir , François Bonne , Patrick Bonnay

This paper presents our approach for making FPGA accelerators accessible to software (SW) programmers. It is intended as a starting point for collaborations with other groups pursuing similar objectives. We report on our current SAccO…

Other Computer Science · Computer Science 2014-08-25 Markus Weinhardt , Rainer Höckmann , Thomas Kinder

Since the introduction of the radio-frequency (rf) photoinjector electron source over thirty years ago, peak performance demands have dictated the use of high accelerating electric fields. With recent strong advances in obtainable field…

Accelerator Physics · Physics 2021-06-09 River R. Robles , Obed Camacho , Atsushi Fukasawa , Nathan Majernik , James B. Rosenzweig

Accelerator and beam physics (ABP) is the science of the motion, generation, acceleration, manipulation, prediction, observation and use of charged particle beams. It focuses on fundamental long-term accelerator and beam physics research…

The essay gives an overview on researches in the field of laser ion acceleration, focusing on two types of targets. There are many types of targets while they can all be divided into targets that apply single ion or multiple ions. Mixed…

Plasma Physics · Physics 2020-09-01 Jiafei Lyu , Rui Yang , Yu Yang

The laser invention more than fifty years ago was a major scientific revolution. Among the different possible gain media, the Free Electron Lasers (FEL) uses free electrons in the periodic permanent magnetic field of an undulator, covering…

Accelerator Physics · Physics 2018-12-26 ME Couprie

A gas of noninteracting particles diffuses in a lattice of pulsating scatterers. In the finite horizon case with bounded distance between collisions and strongly chaotic dynamics, the velocity growth (Fermi acceleration) is well described…

Chaotic Dynamics · Physics 2017-06-29 Carl P. Dettmann , Edson D. Leonel

We review some of the basic principles, fundamentals, technologies, architectures and recent advances leading to thefor the implementation of Field Programmable Photonic Field Arrays (FPPGAs).

Emerging Technologies · Computer Science 2020-02-25 D. Perez-Lopez , A. López-Hernandez , A. Macho , P. Das Mahapatra , J. Capmany

Artificial gauge fields are currently realized in a wide range of physical settings. This includes solid-state devices but also engineered systems, such as photonic crystals, ultracold gases and mechanical setups. It is the aim of this…

Mesoscale and Nanoscale Physics · Physics 2018-12-05 M. Aidelsburger , S. Nascimbene , N. Goldman

It is shown through analytical modeling and numerical simulations that external magnetic fields can relax the self-trapping thresholds in plasma based accelerators. In addition, the transverse location where self-trapping occurs can be…

Plasma Physics · Physics 2015-06-11 J. Vieira , J. L. Martins , V. B. Pathak , R. A. Fonseca , W. B. Mori , L. O. Silva

Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point problem. In this paper, a novel method by acting the…

Computer Vision and Pattern Recognition · Computer Science 2021-07-12 Mei Liu , Liangming Chen , Xiaohao Du , Long Jin , Mingsheng Shang
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