An equation-of-state-meter of quantum chromodynamics transition from deep learning

The large data generated in heavy-ion collision experiments require careful analysis to understand the physics. Here the authors use the deep-learning method to sort equation of states in QCD transition and analyze the simulated data sets mimicking the heavy-ion collision experiments.

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Auteurs principaux: Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang
Format: article
Langue:EN
Publié: Nature Portfolio 2018
Sujets:
Q
Accès en ligne:https://doaj.org/article/1ca7b75f4eb446d4a968181d0b0fb0a1
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