Standard

Advanced Quasistatic Approximation. / Tuev, P. V.; Spitsyn, R. I.; Lotov, K. V.

In: Plasma Physics Reports, Vol. 49, No. 2, 02.2023, p. 229-238.

Research output: Contribution to journal › Article › peer-review

Harvard

Tuev, PV, Spitsyn, RI & Lotov, KV 2023, 'Advanced Quasistatic Approximation', Plasma Physics Reports, vol. 49, no. 2, pp. 229-238. https://doi.org/10.1134/S1063780X22601249

APA

Tuev, P. V., Spitsyn, R. I., & Lotov, K. V. (2023). Advanced Quasistatic Approximation. Plasma Physics Reports, 49(2), 229-238. https://doi.org/10.1134/S1063780X22601249

Vancouver

Tuev PV, Spitsyn RI, Lotov KV. Advanced Quasistatic Approximation. Plasma Physics Reports. 2023 Feb;49(2):229-238. doi: 10.1134/S1063780X22601249

Author

Tuev, P. V. ; Spitsyn, R. I. ; Lotov, K. V. / Advanced Quasistatic Approximation. In: Plasma Physics Reports. 2023 ; Vol. 49, No. 2. pp. 229-238.

BibTeX

@article{7ed7195eaeec43d5a7c1871f05ff73ed,
title = "Advanced Quasistatic Approximation",
abstract = "The quasistatic approximation (QSA) is an efficient method of simulating laser- and beam-driven plasma wakefield acceleration, but it becomes imprecise if some plasma particles make long longitudinal excursions in a strongly nonlinear wave, or if waves with non-zero group velocity are present in the plasma, or the plasma density gradients are sharp, or the beam shape changes rapidly. We present an extension to QSA that is free from many of its limitations and retains its main advantages of speed and reduced dimensionality. The new approach takes into account the exchange of information between adjacent plasma layers. We introduce the physical model, describe its numerical implementation, and compare the simulation results with available analytical solutions and other codes.",
keywords = "numerical model, plasma wakefield acceleration, quasistatic approximation, simulations",
author = "Tuev, {P. V.} and Spitsyn, {R. I.} and Lotov, {K. V.}",
note = "The authors are grateful to I.A. Shalimova and A.A. Gorn for helpful discussions. Simulations were performed on HPC cluster “Akademik V.M. Matrosov” [44]. Публикация для корректировки.",
year = "2023",
month = feb,
doi = "10.1134/S1063780X22601249",
language = "English",
volume = "49",
pages = "229--238",
journal = "Plasma Physics Reports",
issn = "1063-780X",
publisher = "PLEIADES PUBLISHING INC",
number = "2",

}

RIS

TY - JOUR

T1 - Advanced Quasistatic Approximation

AU - Tuev, P. V.

AU - Spitsyn, R. I.

AU - Lotov, K. V.

N1 - The authors are grateful to I.A. Shalimova and A.A. Gorn for helpful discussions. Simulations were performed on HPC cluster “Akademik V.M. Matrosov” [44]. Публикация для корректировки.

PY - 2023/2

Y1 - 2023/2

N2 - The quasistatic approximation (QSA) is an efficient method of simulating laser- and beam-driven plasma wakefield acceleration, but it becomes imprecise if some plasma particles make long longitudinal excursions in a strongly nonlinear wave, or if waves with non-zero group velocity are present in the plasma, or the plasma density gradients are sharp, or the beam shape changes rapidly. We present an extension to QSA that is free from many of its limitations and retains its main advantages of speed and reduced dimensionality. The new approach takes into account the exchange of information between adjacent plasma layers. We introduce the physical model, describe its numerical implementation, and compare the simulation results with available analytical solutions and other codes.

AB - The quasistatic approximation (QSA) is an efficient method of simulating laser- and beam-driven plasma wakefield acceleration, but it becomes imprecise if some plasma particles make long longitudinal excursions in a strongly nonlinear wave, or if waves with non-zero group velocity are present in the plasma, or the plasma density gradients are sharp, or the beam shape changes rapidly. We present an extension to QSA that is free from many of its limitations and retains its main advantages of speed and reduced dimensionality. The new approach takes into account the exchange of information between adjacent plasma layers. We introduce the physical model, describe its numerical implementation, and compare the simulation results with available analytical solutions and other codes.

KW - numerical model

KW - plasma wakefield acceleration

KW - quasistatic approximation

KW - simulations

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85153284531&origin=inward&txGid=946b2ec20242c63ae15aa5057fd3141e

UR - https://www.mendeley.com/catalogue/efc5007a-f1e2-3f3a-8171-7c173cec9415/

U2 - 10.1134/S1063780X22601249

DO - 10.1134/S1063780X22601249

M3 - Article

VL - 49

SP - 229

EP - 238

JO - Plasma Physics Reports

JF - Plasma Physics Reports

SN - 1063-780X

IS - 2

ER -

ID: 59277945