19–25 Oct 2024
Europe/Zurich timezone

A graph neural network based cosmic muon trigger for the Mu3e experiment

23 Oct 2024, 13:30
18m
Room 1.C (Small Hall)

Room 1.C (Small Hall)

Talk Track 2 - Online and real-time computing Parallel (Track 2)

Speaker

David Karres (Heidelberg University (DE))

Description

The Mu3e experiment at the Paul-Scherrer-Institute will be searching for the charged lepton flavor violating decay $\mu^+ \rightarrow e^+e^-e^+$. To reach its ultimate sensitivity to branching ratios in the order of $10^{-16}$, an excellent momentum resolution for the reconstructed electrons is required, which in turn necessitates precise detector alignment. To compensate for weak modes in the main alignment strategy based on electrons and positrons from muon decays, the exploitation of cosmic ray muons is proposed.

The trajectories of cosmic ray muons are so different from the decays of stopped muons in the experiment that they cannot be reconstructed using the same method in the online filter farm. For this reason and in view of their comparatively rare occurrence, a special cosmic muon trigger is being developed. A study on the application of graph neural networks to classify events and to identify cosmic muon tracks will be presented.

Primary authors

Andre Schoening (Heidelberg University (DE)) David Karres (Heidelberg University (DE)) Sebastian Dittmeier (Ruprecht-Karls-Universitaet Heidelberg (DE)) Dr Tamasi Kar (Heidelberg University (DE))

Presentation materials