Daniel Whiteson (UCI) - Learning to find weird tracks

Friday 31 Jan 2025, 12:30 → 13:30 America/Los_Angeles

48/1-112C/D - Redwood C/D (SLAC)

Finding particle tracks is a central component of searching for new phenomena, but is very a challenging combinatorial problem. Traditionally, track finding codes assume that tracks must be helical, which simplifies the task  but also restricts power to discover new physics which might produce non-helical tracks, effectively ignoring some potentially striking signatures.  However, recent advances in ML-based tracking allow for new inroads into previously inaccessible territory, such as efficient reconstruction of tracks that do not follow helical trajectories. I will present a demonstration of training a network to reconstruct a particular type of non-helical tracks, quirks, and discuss the potential to generalize ML tracking to a wider class of non-helical tracks, enabling a search for overlooked anomalous tracks.

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/98973156241?pwd=cEU5RFdlVXoyc0JTeTlDMkozKzQ5UT09

video1155609005.mp4