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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Autores principales: Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/1ca7b75f4eb446d4a968181d0b0fb0a1
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spelling oai:doaj.org-article:1ca7b75f4eb446d4a968181d0b0fb0a12021-12-02T16:49:49ZAn equation-of-state-meter of quantum chromodynamics transition from deep learning10.1038/s41467-017-02726-32041-1723https://doaj.org/article/1ca7b75f4eb446d4a968181d0b0fb0a12018-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02726-3https://doaj.org/toc/2041-1723The 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.Long-Gang PangKai ZhouNan SuHannah PetersenHorst StöckerXin-Nian WangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-6 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Long-Gang Pang
Kai Zhou
Nan Su
Hannah Petersen
Horst Stöcker
Xin-Nian Wang
An equation-of-state-meter of quantum chromodynamics transition from deep learning
description 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.
format article
author Long-Gang Pang
Kai Zhou
Nan Su
Hannah Petersen
Horst Stöcker
Xin-Nian Wang
author_facet Long-Gang Pang
Kai Zhou
Nan Su
Hannah Petersen
Horst Stöcker
Xin-Nian Wang
author_sort Long-Gang Pang
title An equation-of-state-meter of quantum chromodynamics transition from deep learning
title_short An equation-of-state-meter of quantum chromodynamics transition from deep learning
title_full An equation-of-state-meter of quantum chromodynamics transition from deep learning
title_fullStr An equation-of-state-meter of quantum chromodynamics transition from deep learning
title_full_unstemmed An equation-of-state-meter of quantum chromodynamics transition from deep learning
title_sort equation-of-state-meter of quantum chromodynamics transition from deep learning
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/1ca7b75f4eb446d4a968181d0b0fb0a1
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