Supplementary Materials for "Simultaneous single-shot radiographic imaging using a laser-driven x-ray and proton micro-source"

Simulation Data Repository, please read the contained README file in the contained simulation/ directory.

This directory contains a copy of the used PIConGPU source code, version 0.5.0-dev-60ad9eb85 and analysis scripts.

The PIConGPU source code is archived including its complete git history (git version 2.17.1) in source/picongpu.tar.gz with the input parameter template inside in share/picongpu/examples/Wneedle .

Generally, PIConGPU source code is available via https://doi.org/10.5281/zenodo.591746 with its public git repository being maintained on https://github.com/ComputationalRadiationPhysics/picongpu .

The two simulations’ exact input is modified accordingly in the directory input/ inside: 2D_a0-45_Z-10_ppc-20_002_light.tar.gz  (p-polarized; along X) 2D_a0-45_Z-10_ppc-20_003_light.tar.gz  (s-polarized; along Z).

“Heavy” simulation data (checkpoints in simOutput/checkpoints/, full-resolution field and particle output in simOutput/bp/ ) has been stripped from this archive and are archived on NERSC’s HPSS tape archive.

Analysis scripts are provided as Jupyter notebooks (DensityPlot_polX.ipynb and DensityPlot_polZ.ipynb) and depend on the following software:

- adios 1.13.1 python bindings with enabled c-blosc transformations
- numpy 1.17.1
- matplotlib 3.1.1
- PIConGPU post-processing helper modules located in each simulation root directory under “input/lib/python/”

The detailed conda environment can be found in the README.