Up-sampling of electron beam simulation particles with addition of shot-noise
P. Traczykowski, L. T. Campbell, B. W. J. McNeil

TL;DR
This paper presents an algorithm and code for up-sampling electron beam particles, incorporating shot-noise to accurately simulate the statistical properties of real particle distributions for FEL applications.
Contribution
The paper introduces a novel up-sampling algorithm that adds shot-noise to electron beam simulations, enabling more realistic modeling for FEL injection without excessive computational cost.
Findings
The up-sampled distributions match analytical shot-noise statistics.
Generated electron bunches produce results consistent with FEL theory.
The method improves FEL simulation accuracy with fewer initial particles.
Abstract
An algorithm and numerical code for the up-sampling of a system of particles, from a smaller to a larger number, is described. The method introduces a Poissonian `shot-noise' to the up-sampled distribution, typical of the noise statistics arising in a bunch of particles generated by a particle accelerator. The algorithm is applied to a 6-Dimensional phase-space distribution of relatively few simulation particles, representing an electron beam generated by particle accelerator modelling software, for subsequent injection into an Free Electron Laser (FEL) amplifier which is used here to describe the model. A much larger number of particles is usually required to model the FEL lasing process than is required to model the electron beam accelerators that drive it. FEL modelling software usually requires a much greater number of simulation particles than is required for modelling the…
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Taxonomy
TopicsParticle Accelerators and Free-Electron Lasers · Scientific Computing and Data Management · Advanced X-ray Imaging Techniques
