Back

Minisymposium Presentation

Particle-In-Cell (PIC) in Extreme Plasma Conditions: Strategies for HPC in QED-Dominated Interactions

Monday, June 3, 2024
12:00
-
12:30
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Marija
Vranic
-
Instituto Superior Técnico

The research of Marija Vranic is focused on plasmas in extreme conditions, where quantum effects can affect the collective plasma dynamics. She combines analytical theory and massively parallel computer simulations to perform the studies relevant for state-of-the-art and near-future laser experiments using the most intense lasers in the world.

Description

To answer the needs of modelling strong field interaction, PIC codes require tailored additional development. In particular, we have incorporated additional physics such that in-house developed OSIRIS framework could be used to simulate plasmas in extreme conditions, from the classical to the fully QED-dominated interaction. OSIRIS-QED module has an embedded Monte Carlo algorithm to account for quantum processes, which has been thoroughly benchmarked against known analytical results, codes used in the particle physics community (e.g. GUINEA-PIG). Besides physics developments, simulating the extreme regime has particular challenges on memory, load balance and temporal discretization, which required particular code developments oriented towards performance. We have developed Macro-particle merging algorithm and tailored load balance techniques to address the exponentially rising number of particles in QED cascades. This was followed by semi-analytical particle pusher development for better accuracy and coupling the OSIRIS Quasi-3D geometry with OSIRIS-QED module. More recent developments of my team include the Bethe-Heitler pair production and cross-section evaluation based on Machine Learning. All these developments are aimed to incorporate new physics while minimizing impact on performance and scalability.

Authors