Why Machine Learning?

Reconstructing a vertex from a cloud of hit positions is a perfect use case for machine learning.

Why?

• It avoids the need to identify and fit individual particle tracks, which can be difficult or ambiguous.
• It can handle messy or sparse events where geometry-based methods might struggle.
• ML models can be trained end-to-end to optimize for the specific reconstruction task, and once trained, they're fast and scalable.