18 citations · 32 across the 15 of their papers we have counts for
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Design and Performance Studies of a Granular Thin HCAL-MuID Detector for the EIC Optimized for AI-Based Reconstruction
Rowan Kelleher, Anselm Vossen, William W. Jacobs +4
We describe the design concept and estimated performance of an iron-scintillator sampling calorimeter for the future Electron Ion Collider. The novel aspect of this detector is a m…
Longitudinal Spin Transfer to Hyperons in Semi-Inclusive Deep Inelastic Scattering with CLAS12
M. McEneaney, A. Vossen
The polarization of hyperons is preserved in the angular distribution of their decay products. This property allows one to study the spin structure of the . In Semi-Inclusiv…
Direct Vertex Reconstruction of Baryons from Hits in CLAS12 using Graph Neural Networks
Keegan Menkce, Matthew McEneaney, Anselm Vossen
Machine learning techniques, including Graph Neural Networks (GNNs), have been used extensively for data analysis in high energy and nuclear physics. Here we report on the use of a…
AI-Assisted Object Condensation Clustering for Calorimeter Shower Reconstruction at CLAS12
Gregory Matousek, Anselm Vossen
Several nuclear physics studies using the CLAS12 detector rely on the accurate reconstruction of neutrons and photons from its forward angle calorimeter system. These studies often…