The tracking machine learning challenge: throughput phase
S Amrouche, L Basara, P Calafiura… - Computing and Software …, 2023 - Springer
This paper reports on the second “Throughput” phase of the Tracking Machine Learning
(TrackML) challenge on the Codalab platform. As in the first “Accuracy” phase, the …
(TrackML) challenge on the Codalab platform. As in the first “Accuracy” phase, the …
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows
CS Lee, V Hewes, G Cerati… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Running scientific workflow applications on high-performance computing systems provides
promising results in terms of accuracy and scalability. An example is the particle track …
promising results in terms of accuracy and scalability. An example is the particle track …
[PDF][PDF] Deep learning for track finding and the reconstruction of excited hyperons in proton induced reactions
WAM Esmail - 2021 - inspirehep.net
ABSTRACT A powerful tool to study the strong interaction at low energies is the investigation
of hyperon production and decay. Therefore, this thesis presents work focused on three …
of hyperon production and decay. Therefore, this thesis presents work focused on three …