70 citations · 279 across the 13 of their papers we have counts for
4 papers · 1 filter
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)…
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…
Study of time and energy resolution of an ultra-compact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 GeV E 150 GeV
Carlos Perez-Lara, James Wetzel, Ugur Akgun +36
The RADiCAL Collaboration is conducting R\&D on high performance electromagnetic (EM) calorimetry to address the challenges expected in future collider experiments under conditions…
CALPAGAN: Calorimetry for Particles using GANs
Ebru Simsek, Bora Isildak, Anil Dogru +3
In this study, a novel approach is demonstrated for converting calorimeter images from fast simulations to those akin to comprehensive full simulations, utilizing conditional Gener…