2 papers
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.data-an2020
Deconvolution of the High Energy Particle Physics Data with Machine Learning
Bora Işıldak, Alper Hayreter, Aidan R. Wiederhold
A method for correcting smearing effects using machine learning technique is presented. Compared to the standard deconvolution approaches in high energy particle physics, the metho…