2 papers
hep-ex2026
Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
Max Marriott-Clarke, Lazar Novakovic, Elizabeth Ratzer +3
We propose a novel clustering approach for point-cloud segmentation based on supervised contrastive metric learning (CML). Rather than predicting cluster assignments or object-cent…
physics.ins-det2024
Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
M. Aamir, G. Adamov, T. Adams +568
A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…