Published December 18, 2024 | Version 0.8.0
Software Open

ComputationalRadiationPhysics/picongpu: Atomic physics model FLYonPIC 2.0 and realistic laser pulse profiles.

Authors/Creators

  • 1. HZDR
  • 2. HZDR, TU-Dresden
  • 3. HZDR, TU Dresden
  • 4. CASUS, HZDR
  • 5. CASUS, HZDR, CERN
  • 6. HZDR, TU Dresden, LBNL
  • 7. CASUS, Helmholtz-Zentrum Dresden-Rossendorf
  • 8. CASUS, HZDR, TU Dresden

Contributors

  • 1. LOA
  • 2. HZDR
  • 3. University Jena
  • 4. ELI-NP
  • 5. HZDR, TU Dresden
  • 6. HZDR, CASUS
  • 7. HZDR, TU-Dresden
  • 8. TU-Dresden
  • 9. Desy
  • 10. University of Liverpool
  • 11. LogMeIn, Inc.

Description

Key highlights for this release are a new atomic physics model FLYonPIC 2.0, the shadowgraphy plugin as advanced synthetic diagnostic of laser plasma interactions, a new laser profile FromOpenPMDPulse allowing to load electric fields in transverse space and time domain into the simulation via incidentField, enhanced OpenPMD functionality, and support for the RISC-V ecosystem.

As usual, this release features fixes of PIConGPU and extensions and clarifications of the documentation. This is the last release with C++17 support before we switch to C++20.

Files

ComputationalRadiationPhysics/picongpu-0.8.0.zip

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Additional details

Related works

Is supplement to
Software: https://github.com/ComputationalRadiationPhysics/picongpu/tree/0.8.0 (URL)

Software

Repository URL
https://github.com/ComputationalRadiationPhysics/picongpu

References

  • L. V. Keldysh (1965). Ionization in the field of a strong electromagnetic wave.
  • D. Bauer and P. Mulser (1999). Exact field ionization rates in the barrier-suppression regime from numerical time-dependent Schrödinger-equation calculations. DOI:10.1103/PhysRevA.59.569
  • R. Pausch et al. (2014). How to test and verify radiation diagnostics simulations within particle-in-cell frameworks. DOI:10.1016/j.nima.2013.10.073
  • A. Huebl (2014). Injection Control for Electrons in Laser-Driven Plasma Wakes on the Femtosecond Time Scale. DOI:10.5281/zenodo.15924
  • A. Gonoskov et al. (2015). Extended particle-in-cell schemes for physics in ultrastrong laser fields: Review and developments. DOI:10.1103/PhysRevE.92.023305
  • A. Huebl et al. (2015). openPMD: A meta data standard for particle and mesh based data. DOI:10.5281/zenodo.591699
  • M. Vranic et al. (2016). Classical radiation reaction in particle-in-cell simulations. DOI:10.1016/j.cpc.2016.04.002
  • A. Matthes et al. (2016). In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. DOI:10.14529/jsfi160403
  • A. Huebl et al. (2017). On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. DOI:10.1007/978-3-319-67630-2_2
  • R. Pausch et al. (2018). Quantitatively consistent computation of coherent and incoherent radiation in particle-in-cell codes - a general form factor formalism for macro-particles. DOI:10.1016/j.nima.2018.02.020
  • A. Huebl (2019). PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware. DOI:10.5281/zenodo.3266820