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Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
Abstract Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion collisions that combines a viscous hydrodynamic model with a hadronic cascade “after-burner”. Two different types of...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
SpringerOpen
2020-06-01
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| Серии: | European Physical Journal C: Particles and Fields |
| Online-ссылка: | http://link.springer.com/article/10.1140/epjc/s10052-020-8030-7 |
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