Principal component analysis of collective flow in relativistic heavy-ion collisions
Abstract In this paper, we implement principal component analysis (PCA) to study the single particle distributions generated from thousands of $$\mathtt {VISH2+1}$$ VISH2+1 hydrodynamic simulations with an aim to explore if a machine could directly discover flow from the huge amount of data without...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-10-01
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| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | http://link.springer.com/article/10.1140/epjc/s10052-019-7379-y |