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19922026
most citedQuark jet versus gluon jet: fully-connected neural networks with high-level features

9 citations

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hep-ph2026

NLO QCD sum rules analysis of tetraquark states

Wei-Yang Lai, Hong-Ying Jin

We present a next-to-leading order QCD sum rule analysis of light tetraquark states. By investigating various compact tetraquark and molecular configurations, we de…

hep-ph2025

Energy-Energy Correlator at Hadron Colliders: Celestial Blocks and Singularities

Hao Chen, Hongyi Ruan, Hua Xing Zhu

Energy-energy correlator (EEC) is an event shape observable that characterizes the distribution of energy flux in collision events. We initiate the study of full-range EEC at hadro…

hep-ph2024★ 3 cited

First-order spin magnetohydrodynamics

Zhe Fang, Koichi Hattori, Jin Hu

Based on recent papers, we discuss the formulation of the first-order relativistic spin magnetohydrodynamics (MHD) with the totally antisymmetric spin current and properties of the…

hep-ph2017★ 9 cited

Quark jet versus gluon jet: fully-connected neural networks with high-level features

Hui Luo, Ming-xing Luo, Kai Wang +2

Jet identification is one of the fields in high energy physics that machine learning has begun to make an impact. More often than not, convolutional neural networks are used to cla…

hep-ph2013★ 1 cited

Majorana Neutrino Mass Matrices with a Texture Zero and a Cofactor Zero under Current Experimental Texts

Weijian Wang, Dong-Jiang Zhang

The Majorana neutrino mass textures with a texture zero and a vanishing cofactor are reconsidered in the light of current experimental results. A numerical and systematic analysis…