5 citations · 8 across the 11 of their papers we have counts for
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hep-ex2024
B-Jet Tagging with Retentive Networks: A Novel Approach and Comparative Study
Ayse Asu Guvenli, Bora Isildak
Identifying jets originating from bottom quarks is vital in collider experiments for new physics searches. This paper proposes a novel approach based on Retentive Networks (RetNet)…
physics.ins-det2024★ 3 cited
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…