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Poster
in
Workshop: NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences

Physics-aware Modeling of an Accelerated Particle Cloud

Emmanuel Goutierre · Hayg Guler · Christelle Bruni · Johanne Cohen · Michele Sebag


Abstract:

Particle accelerator simulators, pivotal for acceleration optimization, are constrained by computational time.While current machine learning surrogate models for particle accelerator simulators offer efficiency, they lack in-depth positional data for individual particles.Drawing from 3D computer vision, we propose adapting the point cloud deep learning methods, adept at processing 3D point sets, to model particle beams.

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