Topics

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As the Accelerator & beam physics modeling interest group in the Theoretical Calculations and Simulation (CompF2) topical group in the Computational Frontier our topics of interest include:

• Modeling of

  • Specific types of accelerators (leptons, hadrons, gamma, mix)

    • Injectors

    • High power targets

    • Linacs

    • Rings (multi-bunch injection, etc.)

    • Recirculating systems

    • Energy recovery systems

    • Fixed field accelerators (FFAGs, etc.)

    • Colliders

  • Advanced Concepts

    • plasma accelerators (LWFA, PWFA)

    • dielectric

    • muon accelerators

    • integrable optics accelerators

  • Specific physics/operational topics

    • space charge

    • beam-beam

    • halo formation

    • emittance preservation

    • wake fields

    • impedance

    • electron cloud

    • fast ion instability

    • collisions

    • radiation production and transport

    • spin dynamics

    • coherent synchrotron radiation

    • quantum limit in novel accelerator structures

    • X-ray simulation

    • extreme beams

    • power deposition and resulting radioactivation

    • cooling

    • beam-material interactions (ionization, atomic processes,…)

    • dynamic processes during operational scenarios (machine generally has to go through intermediate states with changing optics and fill patterns before it reaches its steady state)

    • injection painting

    • slow extraction

    • slip-stacking

    • …

  • Components and realistic beamline elements (fringe fields, high-order effects, etc.)

    • RF cavities

    • Magnets

    • structured plasmas

    • …

  • …

• Crosscutting topics

  • Commonalities in comp. needs

  • EVA (End-to-end Virtual Accelerator)

  • Design optimization

  • HPC / Exascale / programming

    • GPUs; future hardware

    • higher order methods/numerical linear algebra to make efficient use of GPUs

    • computing hardware independent implementation e.g. Kokkos/RAJA/Alpaka/AMReX

    • Mixed precision: half (various), single and double

    • Tensor cores

  • Standardization of output data, input scripts (openPMD, …)

  • Data management & data reduction

  • Online modeling

  • AI/ML

  • Open Science

  • Resources, training

  • Cloud computing

  • Software sustainability

  • Resources for code support and user support

  • Integration of accelerator and detector (for radiation studies) codes

  • Mesh refinement

  • Synergies with non-HEP science