Application of adaptive mesh refinement to particle-in-cell simulations of plasmas and beams

Vay, Jean‐Luc; Colella, P.; Kwan, J.W.; McCorquodale, Peter; Serafini, David; Friedman, A.; Grote, D.P.; Westenskow, G.A.; Adam, J. C.; Héron, A.; Haber, I.

doi:10.1063/1.1689669

Cited by 70 publications

(64 citation statements)

References 14 publications

(14 reference statements)

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“…The refinement is non -linear, following the Child-Langmuir density scaling. Refinement factors as high as 10,000 are used regularly [4]. …”

Section: Injectionmentioning

confidence: 99%

The WARP Code: Modeling High Intensity Ion Beams

Grote¹,

Friedman²,

Vay³

et al. 2005

AIP Conference Proceedings

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Abstract. The Warp co de, d evelo pe d for heavy -ion d riven iner tial fusion energy s t u dies, is u se d to m o d el high inte n sity ion (an d electro n) bea m s. Significant ca pa bility h a s bee n incor por a te d in War p, allowing n early all sectio n s of a n accelerator to be m o dele d, beginning with t he sou rce. Warp ha s a s its core a n explicit, t h ree -di me n sio nal, p a r ticle -in -cell m o del. Alongside t his is a rich se t of tools for d escribing t h e a p plied field s of t h e accelerator lattice, a n d e m be d de d con d uc ting s urfaces (which are ca p t u re d at s u b -grid resolu tio n). Also incor pora te d are m o dels with re d uce d di me nsionality: a n axisy m me t ric m o d el a n d a tra n sverse "slice" m o del. The code take s a dva ntage of m o de r n p rogra m ming tech niq ues, inclu ding o bject orie nta tion, p a r allelis m, a n d scripting (via Pytho n). It is a t t he forefro n t in t h e u se of t he co m p u ta tional tec hnique of a da p tive m e s h refine me n t, which ha s bee n p a r ticularly s uccessf ul in t h e area of diode a n d injector m o deling, bot h stea dy -st ate a n d timed e p e n de n t. In t he p r e se n ta tio n, so me of t he m ajor a s pects of War p will be overviewe d, especially t h o se t h a t co uld be u sef ul in m o d eling ECR so urces. Warp ha s bee n be nc h m a r ke d against bot h t heo ry a n d ex peri me n t. Recen t re sults will be p re se n te d s howing good agree me nt of War p with experi me n tal res ults fro m t he STS500 injector test s ta n d. Additional infor ma tion ca n be fou n d on t he web p age h t t p: / / hif.lbl.gov / t h eo ry /WARP_su m m a ry.ht ml.

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“…The refinement is non -linear, following the Child-Langmuir density scaling. Refinement factors as high as 10,000 are used regularly [4]. …”

Section: Injectionmentioning

confidence: 99%

The WARP Code: Modeling High Intensity Ion Beams

Grote¹,

Friedman²,

Vay³

et al. 2005

AIP Conference Proceedings

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“…This required analysis and development to minimize non-physical self-forces [25]. Further improvement of WARPs AMR-PIC simulation capabilities has led to a mature capability that is used routinely in both 3-D and axisymmetric (r,z) geometries.…”

Section: Adaptive Mesh Refinement (Amr)mentioning

confidence: 99%

Overview of theory and simulations in the Heavy Ion Fusion Science Virtual National Laboratory

Friedman

2007

Nuclear Instruments and Methods in Physics Research Section A:

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The Heavy Ion Fusion Science Virtual National Laboratory (HIFS-VNL) is a collaboration of Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and Princeton Plasma Physics Laboratory. These laboratories, in cooperation with researchers at other institutions, are carrying out a coordinated effort to apply intense ion beams as drivers for studies of the physics of matter at extreme conditions, and ultimately for inertial fusion energy. Progress on this endeavor depends upon coordinated application of experiments, theory, and simulations. This paper describes the state of the art, with an emphasis on the coordination of modeling and experiment; developments in the simulation tools, and in the methods that underly them, are also treated.

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“…The PIC method for simulation of plasmas and particle beams was also merged with the adaptive mesh refinement (AMR) technique [16]. This technique covers areas that need a higher …”

Section: Simulationsmentioning

confidence: 99%

Electron cloud measurements in heavy-ion driver for HEDP and inertial fusion energy

Covo

Molvik

Friedman

et al. 2007

Nuclear Instruments and Methods in Physics Research Section B:

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The High Current Experiment (HCX) at LBNL is a driver scale single beam injector that provides a 1 MeV K+ ion beam current of 0.18 A for 5 µs. It transports high-current beams with large fill factor (ratio of the maximum beam envelope radius to the beam pipe radius) and low emittance growth that are required to keep the cost of the power plant competitive and to satisfy the target requirements of focusing ion beams to high-power density. Beam interaction with the background gas and walls desorbs electrons that can multiply and accumulate, creating an electron cloud. This ubiquitous effect grows at higher fill factors and degrades the quality of the beam. We review simulations and diagnostics tools used to measure electron production, accumulation and its properties.

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Application of adaptive mesh refinement to particle-in-cell simulations of plasmas and beams

Cited by 70 publications

References 14 publications

The WARP Code: Modeling High Intensity Ion Beams

The WARP Code: Modeling High Intensity Ion Beams

Overview of theory and simulations in the Heavy Ion Fusion Science Virtual National Laboratory

Electron cloud measurements in heavy-ion driver for HEDP and inertial fusion energy

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