scholarly journals The Argonne Wakefield Accelerator: upgrade scenarios and future experiments

2002 ◽  
Author(s):  
W. Gai ◽  
M. Conde ◽  
R. Konecy ◽  
X. Li ◽  
J. Power ◽  
...  
Keyword(s):  
Wakefield Accelerator

Wakefield accelerator using twin linacs

1993 ◽  
Vol 328 (3) ◽  
pp. 596-598 ◽  
Author(s):  
H. Nakanishi ◽  
A. Enomoto ◽  
A. Ogata ◽  
K. Nakajima ◽  
D. Whittum ◽  
...  
Keyword(s):  
Wakefield Accelerator

scholarly journals Electron Rephasing in a Laser-Wakefield Accelerator

2015 ◽  
Vol 115 (15) ◽  
Author(s):  
E. Guillaume ◽  
A. Döpp ◽  
C. Thaury ◽  
K. Ta Phuoc ◽  
A. Lifschitz ◽  
...  
Keyword(s):  
Laser Wakefield ◽  
Wakefield Accelerator ◽  
Laser Wakefield Accelerator

Energy enhancement in a self-modulated laser wakefield accelerator

1994 ◽  
Author(s):  
E. Esarey ◽  
J. Krall ◽  
A. Ting ◽  
P. Sprangle
Keyword(s):  
Laser Wakefield ◽  
Wakefield Accelerator ◽  
Laser Wakefield Accelerator

scholarly journals Numerical modelling of a 10-cm-long multi-GeV laser wakefield accelerator driven by a self-guided petawatt pulse

2010 ◽  
Vol 12 (4) ◽  
pp. 045019 ◽  
Author(s):  
S Y Kalmykov ◽  
S A Yi ◽  
A Beck ◽  
A F Lifschitz ◽  
X Davoine ◽  
...  
Keyword(s):  
Numerical Modelling ◽  
Laser Wakefield ◽  
Wakefield Accelerator ◽  
Laser Wakefield Accelerator

Stability of the Driving Bunch in the Plasma Wakefield Accelerator

1987 ◽  
Vol 15 (2) ◽  
pp. 192-198 ◽  
Author(s):  
J. J. Su ◽  
T. Katsouleas ◽  
J. M. Dawson ◽  
P. Chen ◽  
M. Jones ◽  
...  
Keyword(s):  
Plasma Wakefield Accelerator ◽  
Plasma Wakefield ◽  
Wakefield Accelerator

scholarly journals A massively parallel time-domain coupled electrodynamics–micromagnetics solver

2022 ◽  
pp. 109434202110579
Author(s):  
Zhi Yao ◽  
Revathi Jambunathan ◽  
Yadong Zeng ◽  
Andrew Nonaka
Keyword(s):  
Time Domain ◽  
High Performance ◽  
Tunable Filter ◽  
Coupling Scheme ◽  
Temporal Coupling ◽  
Electromagnetic Waveguide ◽  
Plasma Wakefield Accelerator ◽  
Plasma Wakefield ◽  
Wakefield Accelerator ◽  
Difference Time

We present a high-performance coupled electrodynamics–micromagnetics solver for full physical modeling of signals in microelectronic circuitry. The overall strategy couples a finite-difference time-domain approach for Maxwell’s equations to a magnetization model described by the Landau–Lifshitz–Gilbert equation. The algorithm is implemented in the Exascale Computing Project software framework, AMReX, which provides effective scalability on manycore and GPU-based supercomputing architectures. Furthermore, the code leverages ongoing developments of the Exascale Application Code, WarpX, which is primarily being developed for plasma wakefield accelerator modeling. Our temporal coupling scheme provides second-order accuracy in space and time by combining the integration steps for the magnetic field and magnetization into an iterative sub-step that includes a trapezoidal temporal discretization for the magnetization. The performance of the algorithm is demonstrated by the excellent scaling results on NERSC multicore and GPU systems, with a significant (59×) speedup on the GPU using a node-by-node comparison. We demonstrate the utility of our code by performing simulations of an electromagnetic waveguide and a magnetically tunable filter.

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