4 papers
ML for the hKLM at the 2nd Detector
Rowan Kelleher, Anselm Vossen
The present research applies Graph Neural-Networks (GNNs) for energy measurement and particle identification tasks for a proposed second detector at the future Electron Ion Collide…
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…
Improving Signal Extraction with Domain Adaptation via Normalizing Flows
Rowan Kelleher, Matthew McEneaney, Anselm Vossen
The present study presents a novel application for normalizing flows for domain adaptation. The study investigates the ability of flow based neural networks to improve signal extra…
Normalizing Flows for Domain Adaptation when Identifying Hyperon Events
Rowan Kelleher, Anselm Vossen
This study focuses on the novel application of a normalizing flow as a method of domain adaptation. Normalizing flows offer a way to transform data points between two different dis…