Applications of deep learning to relativistic hydrodynamics
Relativistic hydrodynamics is a powerful tool to simulate the evolution of the quark-gluon plasma in relativistic heavy-ion collisions. Using 10 000 initial and final profiles generated from (2+1)-dimensional relativistic hydrodynamics vish2+1 with Monte Carlo Glauber (MC-Glauber) initial conditions...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , , , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
American Physical Society
2021-06-01
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| Цуврал: | Physical Review Research |
| Онлайн хандалт: | http://doi.org/10.1103/PhysRevResearch.3.023256 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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