Arianna Formenti
LBNL
Biography
Arianna Formenti is a post-doc in the Accelerator Technology and Applied Physics Division at Lawrence Berkeley National Laboratory. Her research interests include modeling of future particle colliders – such as Higgs factories and 10 TeV-level wakefield colliders – and fusions plasmas with advanced simulations. She is a maintainer of the code WarpX, which is part of the BLAST simulation toolkit. She received a BSc and MSC in Mathematical Engineering and a PhD in Energy and Nuclear Science and Technology from Politecnico di Milano, Italy. Arianna is also committed to science education, workforce development, and outreach.
SRP Project Title
Physics simulations and code development for plasma and/or accelerator physics
Topical Areas
Fluid and Plasma Physics; High Performance Computing; Open Source Software; Particle and High-Energy Physics
Abstract
This research project will be hosted by the Accelerator Modeling Program group at Lawrence Berkeley National Laboratory. AMP is a program within the Accelerator Technology and Applied Physics Division at Berkeley Lab that focuses on HPC to model particle accelerators, laser-plasma interactions, beam physics and plasma devices, and nuclear fusion. With this project, you will have the opportunity to contribute to ongoing research and gain hands-on experience in the field of computational physics within an open and team-science driven environment. Specifically, you will contribute to the development of the Beam, Plasma & Accelerator Simulation Toolkit by working in the WarpX team, an open-source massively-parallel particle-in-cell code that was awarded the prestigious 2022 ACM Gordon Bell Prize. You will participate in the advancement of theoretical and computational plasma and beam accelerator physics, through one or more of the various activities that occur in the program, which offers a wide range of possibilities such as: Investigating physics through simulation campaigns to support theoretical and/or experimental studies with the codes developed in the program; Improving our computational tools or methods for better performances on supercomputers, or for simulating new physics; Exploring novel numerical schemes, algorithms, and AI/ML approaches to improve simulations’ reliability.
Desired Skills
* Python and/or C++ development * improve GPU-accelerated HPC open source codes * AI/ML * supercomputers such as Perlmutter (NERSC) * Python notebooks & presentations for demonstration/training/debugging. A background/study in physics, computer science or applied math is desired and the focus of the project will be adjusted accordingly. To stand out from the crowd, you might already have experience with Python and C++, know how to use GitHub, or have run simulations before.
Lightning Talk Title
Meet out team at LBNL and the Exascale code WarpX
Keywords
particle; accelerator; hpc; plasma; physics; fusion; particle-in-cell;