HiPACE++: a portable, 3D quasi-static Particle-in-Cell code

Diederichs, Severin; Benedetti, Carlo; Huebl, Axel; Lehe, Rémi; Myers, Andrew; Sinn, Alexander; Vay, Jean-Luc; Zhang, Weiqun; Thévenet, Maxence

doi:10.48550/arxiv.2109.10277

Cited by 2 publications

(2 citation statements)

References 31 publications

(47 reference statements)

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“…For a comparison of the transverse beam stability in a plasma column and in a homogeneous plasma, we employ three-dimensional particle-in-cell (PIC) simulations performed using the quasi-static PIC code HiPACEþþ. 38 We consider beam parameters that have been used to demonstrate high-quality positron acceleration 18,19 and introduce a tilt in the bunch distribution to seed the hosing instability. The beam has a bi-Gaussian distribution with r x;y ¼ 0:1; r z ¼ 1:41; I b =I A ¼ 1, it has a mean energy of c 0 ¼ 20 000, and the emittance is such that the beam is matched in the focusing field of a blowout wake.…”

Section: B Comparison With Simulation Resultsmentioning

confidence: 99%

Stable electron beam propagation in a plasma column

et al. 2022

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The stability of plasma-based accelerators against transverse misalignments and asymmetries of the drive beam is crucial for their applicability. Without stabilizing mechanisms, even small initial offsets of the drive beam centroid can couple coherently to the plasma wake, grow, and ultimately lead to emittance degradation or beam loss for a trailing witness beam. In this work, we demonstrate the intrinsic stability of a beam propagating in a plasma column. This result is relevant in the context of plasma-based positron acceleration, where a wakefield suitable for the transport and acceleration of a positron witness beam is generated in a plasma column by means of an electron drive beam. The stable propagation of the drive beam is a necessary condition for the experimental implementation of this scheme. The differences and similarities of stabilizing mechanisms in a plasma column compared to a homogeneous plasma are identified via theory and particle-in-cell simulations. Experimental tolerances are given, demonstrating the experimental feasibility of the scheme.

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Section: B Comparison With Simulation Resultsmentioning

confidence: 99%

Stable electron beam propagation in a plasma column

et al. 2022

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“…In the past, older simulations relying on less efficient CPUs struggled to handle a large particle count, primarily due to constraints in memory availability [32]. However, modern systems equipped with multiple CPUs provide an avenue for adapting intricate applications to function across multiple machines [33][34][35]. In the early 90s, a GCPIC concurrent approach was introduced to leverage and distribute PIC simulations across a multi-processor architecture [36].…”

Section: Related Workmentioning

confidence: 99%

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations

Almomany,

Sutcu,

Ibrahim

2024

PLoS ONE

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Particle-in-cell (PIC) simulation serves as a widely employed method for investigating plasma, a prevalent state of matter in the universe. This simulation approach is instrumental in exploring characteristics such as particle acceleration by turbulence and fluid, as well as delving into the properties of plasma at both the kinetic scale and macroscopic processes. However, the simulation itself imposes a significant computational burden. This research proposes a novel implementation approach to address the computationally intensive phase of the electrostatic PIC simulation, specifically the Particle-to-Interpolation phase. This is achieved by utilizing a high-speed Field Programmable Gate Array (FPGA) computation platform. The suggested approach incorporates various optimization techniques and diminishes memory access latency by leveraging the flexibility and performance attributes of the Intel FPGA device. The results obtained from our study highlight the effectiveness of the proposed design, showcasing the capability to execute hundreds of functional operations in each clock cycle. This stands in contrast to the limited operations performed in a general-purpose single-core computation platform (CPU). The suggested hardware approach is also scalable and can be deployed on more advanced FPGAs with higher capabilities, resulting in a significant improvement in performance.

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HiPACE++: a portable, 3D quasi-static Particle-in-Cell code

Cited by 2 publications

References 31 publications

Stable electron beam propagation in a plasma column

Stable electron beam propagation in a plasma column

Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations

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