Thesis Open Access

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Huebl, Axel


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Dr. Bussmann, Michael</dc:contributor>
  <dc:contributor>Dr. Kluge, Thomas</dc:contributor>
  <dc:creator>Huebl, Axel</dc:creator>
  <dc:date>2019-07-03</dc:date>
  <dc:description>The presented thesis establishes simulations on modern massively parallel computing hardware to investigate relativistic laser-driven plasmas. The latter are of special interest as they may provide a compact source for energetic ion beams. Computer simulations provide valuable insight into ultrafast plasma processes, evolving in the ultrahigh intensity (I0 ≫ 1018 W/cm2) focus of the ultrashort (𝜏0=30-500 fs) laser pulses driving the interaction. Such simulations require high numerical resolution and full geometric treatment for reliable predictions, which can only be addressed with high-performance computing. The open source particle-in-cell code PIConGPU, which is developed in the framework of this thesis, answers these demands, providing speed and scalability to run on the world's largest supercomputers. PIConGPU is designed with a modular and extensible implementation, allowing to compute on current and upcoming hardware from a single code base. Furthermore, challenges arising for generated data rates, reaching 1 PByte per simulation, are resolved with scalable data reduction techniques and novel workflows, such as interactive simulations.

Numerical studies are performed on two novel targets for laser-proton acceleration with near-critical and mass-limited properties. A micrometer-scale spherical target is explored with realistic temporal laser contrast, providing an interpretation for experimental results collected at the PW-class laser system PHELIX (𝜏0=500 fs pulse length). In this study, 3D modeling with the GPU supercomputer Titan enabled the identification of pre-expansion to near-critical target conditions, which uncovers a regime of volumetric laser-electron interaction generating a highly directed proton beam. Furthermore, a novel cryogenic hydrogen jet target is researched in close collaboration to experiments at the laser system DRACO (𝜏0=30 fs). This target system provides a unique setup for the isolated investigation of multi-species effects and their influence on the generated ion energy distribution. A novel analytical model provides a link between characteristic modulations in the ion energy spectra and ensemble properties of the microscopic electron distribution. In view of a potential experimental realization, parametric scans are performed confirming the feasibility of the proposed setup.</dc:description>
  <dc:identifier>https://zenodo.org/record/3266820</dc:identifier>
  <dc:identifier>10.5281/zenodo.3266820</dc:identifier>
  <dc:identifier>oai:zenodo.org:3266820</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/654220/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3266819</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
  <dc:subject>laser-plasma acceleration</dc:subject>
  <dc:subject>modeling</dc:subject>
  <dc:subject>HPC</dc:subject>
  <dc:subject>GPU</dc:subject>
  <dc:subject>laser-ion acceleration</dc:subject>
  <dc:subject>exascale computing</dc:subject>
  <dc:subject>open source</dc:subject>
  <dc:subject>open data</dc:subject>
  <dc:title>PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware</dc:title>
  <dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
  <dc:type>publication-thesis</dc:type>
</oai_dc:dc>
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