Bonn 2020 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 91: Machine Learning: Event and jet reconstruction

T 91.5: Vortrag

Freitag, 3. April 2020, 12:00–12:15, H-HS I

Primary Vertex Reconstruction with ML in ACTS — •Bastian Schlag — CERN / JGU Mainz

The reconstruction of particle trajectories and their associated vertices is an essential task in the event reconstruction of most high energy physics experiments. In order to maintain or even improve upon the current performance of tracking and vertexing algorithms under the upcoming challenges of increasing energies and ever increasing luminosities in the future, major software upgrades are required. Based on the well-tested ATLAS tracking and vertexing software, ACTS (A Common Tracking Software) provides a modern, experiment-independent set of track- and vertex reconstruction software, specifically designed for parallel execution. In addition to thread-safe reimplementations of classical primary vertexing algorithms, ACTS provides a solid code base for evaluating new approaches to primary vertex finding, such as applications of sophisticated deep learning methods. Associating tracks to the correct vertex candidate is a crucial step in vertexing and will become even more important in the high-pileup environments expected for HL-LHC or FCC-hh. Learning a track representation in an embedding space in such a way that tracks emerging from a common vertex are close together while tracks from neighboring vertices are further separated from one another allows for the determination of a similarity score between a pair of tracks. Constructing undirected, edge-weighted graphs from these results allows the subsequent usage of classical graph algorithms or graph neural networks for clustering tracks to vertex candidates.