4 papers
Application of Geometric Deep Learning for Tracking of Hyperons in a Straw Tube Detector
Adeel Akram, Xiangyang Ju, Michael Papenbrock +3
We present track reconstruction algorithms based on deep learning, tailored to overcome specific central challenges in the field of hadron physics. Two approaches are used: (i) dee…
4D Track Reconstruction on Free-Streaming Data at PANDA at FAIR
Jenny Taylor, Michael Papenbrock, Tobias Stockmanns +4
A new generation of experiments is being developed, where the challenge of separating rare signal processes from background at high intensities requires a change of trigger paradig…
Track Reconstruction using Geometric Deep Learning in the Straw Tube Tracker (STT) at the PANDA Experiment
Adeel Akram, Xiangyang Ju
The PANDA (anti-Proton ANnihilation at DArmstadt) experiment at the Facility for Anti-proton and Ion Research is going to study strong interactions at the scale at which quarks are…
A Generalized Approach to Longitudinal Momentum Determination in Cylindrical Straw Tube Detectors
W. Ikegami Andersson, A. Akram, T. Johansson +5
The upcoming PANDA experiment at FAIR will be among a new generation of particle physics experiments to employ a novel event filtering system realised purely in software, i.e. a so…