2024/06/10 by Mahdi Mansouri, Mansouri, Mahdi, Kazem Bitaghsir Fadafan +3 · 4 citations
Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #Force Microscopy Techniques and Applications #Advanced Electron Microscopy Techniques and Applications #Nuclear Physics and Applications
paper · pdf · doi:10.48550/arxiv.2406.06285
Utilizing an emergent metric developed from deep learning techniques, we determine the complex potential associated with static quarkonium. This study explores the disintegration process of quarkonium by analyzing the real component of this potential, which is crucial for understanding its stability in various conditions. We show that the dissociation length, the critical distance at which a quark and antiquark pair disintegrate, decreases as the temperature increases. Furthermore, our assessment of the imaginary component of the potential indicates an increase in the magnitude of the imaginary potential for quarkonium as temperatures rise. This enhancement contributes to the quarkonium's suppression within the quark-gluon plasma, mirroring the anticipated outcomes from QCD. Our findings not only confirm the theoretical predictions but also demonstrate the efficacy of deep learning methods in advancing our understanding of high-energy particle physics.