SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations

Yu, Kwangmin; Kumar, Prabhat; Yuan, Shaohua; Cheng, Aiqi; Samulyak, Roman

doi:10.1016/j.cpc.2022.108396

Title: SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations

Abstract

A parallel, relativistic, three-dimensional particle-in-cell code SPACE has been developed for the simulation of electromagnetic fields, relativistic particle beams, and plasmas. In addition to the standard second-order Particle-in-Cell (PIC) algorithm, SPACE includes efficient novel algorithms to resolve atomic physics processes such as multi-level ionization of plasma atoms, recombination, and electron attachment to dopants in dense neutral gases. SPACE also contains a highly adaptive particle-based method, called Adaptive Particle-in-Cloud (AP-Cloud), for solving the Vlasov-Poisson problems. It eliminates the traditional Cartesian mesh of PIC and replaces it with an adaptive octree data structure. The code's algorithms, structure, capabilities, parallelization strategy, and performance have been discussed. Additionally, typical examples of SPACE applications to accelerator science and engineering problems are described.

Authors:

Yu, Kwangmin ^[1];

^[2]; Yuan, Shaohua ^[3];

^[3];

^[4]

Brookhaven National Lab. (BNL), Upton, NY (United States)
Stony Brook Univ., NY (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Center for Computational Sciences and Engineering
Stony Brook Univ., NY (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States); Stony Brook Univ., NY (United States)

Publication Date:: Fri Apr 29 00:00:00 EDT 2022

Research Org.:: Brookhaven National Lab. (BNL), Upton, NY (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1873648

Alternate Identifier(s):: OSTI ID: 1959330; OSTI ID: 1961485

Report Number(s):: BNL-223103-2022-JAAM
Journal ID: ISSN 0010-4655; TRN: US2307064

Grant/Contract Number:: SC0012704; AC02-05CH11231

Resource Type:: Accepted Manuscript

Journal Name:: Computer Physics Communications

Additional Journal Information:: Journal Volume: 277; Journal ID: ISSN 0010-4655

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 43 PARTICLE ACCELERATORS; particle-in-cell; particle-in-cloud; laser-plasma interaction; beam-plasma interaction; atomic physics algorithms

Citation Formats


                    Yu, Kwangmin, Kumar, Prabhat, Yuan, Shaohua, Cheng, Aiqi, and Samulyak, Roman. SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations.  United States: N. p., 2022. 
Web.  doi:10.1016/j.cpc.2022.108396.

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                    Yu, Kwangmin, Kumar, Prabhat, Yuan, Shaohua, Cheng, Aiqi, & Samulyak, Roman. SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations.  United States.  https://doi.org/10.1016/j.cpc.2022.108396

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                    Yu, Kwangmin, Kumar, Prabhat, Yuan, Shaohua, Cheng, Aiqi, and Samulyak, Roman. Fri .  
"SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations".  United States.  https://doi.org/10.1016/j.cpc.2022.108396.  https://www.osti.gov/servlets/purl/1873648.

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@article{osti_1873648,

  title        = {SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations},

  author       = {Yu, Kwangmin and Kumar, Prabhat and Yuan, Shaohua and Cheng, Aiqi and Samulyak, Roman},

  abstractNote = {A parallel, relativistic, three-dimensional particle-in-cell code SPACE has been developed for the simulation of electromagnetic fields, relativistic particle beams, and plasmas. In addition to the standard second-order Particle-in-Cell (PIC) algorithm, SPACE includes efficient novel algorithms to resolve atomic physics processes such as multi-level ionization of plasma atoms, recombination, and electron attachment to dopants in dense neutral gases. SPACE also contains a highly adaptive particle-based method, called Adaptive Particle-in-Cloud (AP-Cloud), for solving the Vlasov-Poisson problems. It eliminates the traditional Cartesian mesh of PIC and replaces it with an adaptive octree data structure. The code's algorithms, structure, capabilities, parallelization strategy, and performance have been discussed. Additionally, typical examples of SPACE applications to accelerator science and engineering problems are described.},

  doi          = {10.1016/j.cpc.2022.108396},

  journal      = {Computer Physics Communications},

  number       = ,

  volume       = 277,

  place        = {United States},

  year         = {Fri Apr 29 00:00:00 EDT 2022},

  month        = {Fri Apr 29 00:00:00 EDT 2022}

}

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Similar Records

Title: SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations

Abstract

Citation Formats

Noninvariance of Space- and Time-Scale Ranges under a Lorentz Transformation and the Implications for the Study of Relativistic Interactions journal, March 2007

Application of adaptive mesh refinement to particle-in-cell simulations of plasmas and beams journal, May 2004

Rigorous charge conservation for local electromagnetic field solvers journal, March 1992

AP-Cloud: Adaptive Particle-in-Cloud method for optimal solutions to Vlasov–Poisson equation journal, July 2016

Numerical modeling of laser tunneling ionization in explicit particle-in-cell codes journal, March 2013

Controlling self-force errors at refinement boundaries for AMR-PIC journal, February 2010

Coherent Electron Cooling journal, March 2009

Lagrangian particle method for compressible fluid dynamics journal, June 2018

p4est : Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees journal, January 2011

Simulation studies of modulator for coherent electron cooling journal, November 2018

VORPAL: a versatile plasma simulation code journal, May 2004

Simulation of beams or plasmas crossing at relativistic velocity journal, May 2008

Relativistic laser plasma interactions journal, April 2003

Evolution of the self-injection process in long wavelength infrared laser driven LWFA journal, January 2021

Mesh refinement for particle-in-cell plasma simulations: Applications to and benefits for heavy ion fusion journal, October 2002

Warp-X: A new exascale computing platform for beam–plasma simulations journal, November 2018

QUICKPIC: A highly efficient particle-in-cell code for modeling wakefield acceleration in plasmas journal, September 2006

Physics of laser-driven plasma-based electron accelerators journal, August 2009

Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media journal, May 1966

OSIRIS: A Three-Dimensional, Fully Relativistic Particle in Cell Code for Modeling Plasma Based Accelerators book, January 2002

Geometric modeling using octree encoding journal, June 1982

Influence of several factors in the generalized finite difference method journal, December 2001

Particle-in-cell simulations of tunneling ionization effects in plasma-based accelerators journal, May 2003

Exact charge conservation scheme for Particle-in-Cell simulation with an arbitrary form-factor journal, April 2001

Simulations of coherent electron cooling with two types of amplifiers journal, December 2019

Noninvariance of Space- and Time-Scale Ranges under a Lorentz Transformation and the Implications for the Study of Relativistic Interactions
journal, March 2007

Application of adaptive mesh refinement to particle-in-cell simulations of plasmas and beams
journal, May 2004

Rigorous charge conservation for local electromagnetic field solvers
journal, March 1992

AP-Cloud: Adaptive Particle-in-Cloud method for optimal solutions to Vlasov–Poisson equation
journal, July 2016

Numerical modeling of laser tunneling ionization in explicit particle-in-cell codes
journal, March 2013

Controlling self-force errors at refinement boundaries for AMR-PIC
journal, February 2010

Coherent Electron Cooling
journal, March 2009

Lagrangian particle method for compressible fluid dynamics
journal, June 2018

`p4est` : Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees
journal, January 2011

Simulation studies of modulator for coherent electron cooling
journal, November 2018

VORPAL: a versatile plasma simulation code
journal, May 2004

Simulation of beams or plasmas crossing at relativistic velocity
journal, May 2008

Relativistic laser plasma interactions
journal, April 2003

Evolution of the self-injection process in long wavelength infrared laser driven LWFA
journal, January 2021

Mesh refinement for particle-in-cell plasma simulations: Applications to and benefits for heavy ion fusion
journal, October 2002

Warp-X: A new exascale computing platform for beam–plasma simulations
journal, November 2018

QUICKPIC: A highly efficient particle-in-cell code for modeling wakefield acceleration in plasmas
journal, September 2006

Physics of laser-driven plasma-based electron accelerators
journal, August 2009

Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media
journal, May 1966

OSIRIS: A Three-Dimensional, Fully Relativistic Particle in Cell Code for Modeling Plasma Based Accelerators
book, January 2002

Geometric modeling using octree encoding
journal, June 1982

Influence of several factors in the generalized finite difference method
journal, December 2001

Particle-in-cell simulations of tunneling ionization effects in plasma-based accelerators
journal, May 2003

Exact charge conservation scheme for Particle-in-Cell simulation with an arbitrary form-factor
journal, April 2001

Simulations of coherent electron cooling with two types of amplifiers
journal, December 2019