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A proposed model to estimate flow coefficients from charged-particle densities using Deep Learning
In the first microseconds of the Big Bang, all known matter in the Universe was in a state of Quark-Gluon Plasma (QGP). The primary purpose of heavy ion collisions is to investigate QGP’s formation and properties. For this purpose, measuring the so-called flow coefficients is an essential observable...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | http://cds.cern.ch/record/2724558 |