1 citations · 1 across the 2 of their papers we have counts for
3 papers
KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging
Md Raqibul Islam, Adrita Khan, Mir Sazzat Hossain +6
Jet identification plays a central role in analyzing data from high-energy collider experiments. While deep learning has improved jet classification, it often lacks interpretabilit…
Elastic and resonance structures of the nucleon from hadronic tensor in lattice QCD: implications for neutrino-nucleon scattering and hadron physics
Jian Liang, Raza Sabbir Sufian, Bigeng Wang +5
We compute the Euclidean hadronic tensor from charge density operators and extract elastic and resonance structures by employing exponential fits to the four-point correlator, as w…
Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum
Talal Ahmed Chowdhury, Taku Izubuchi, Methun Kamruzzaman +6
Lattice quantum chromodynamics (QCD) calculations share a defining challenge by requiring a small finite range of spatial separation between quark/gluon bilinears for controlla…