Classification of equation of state in relativistic heavy-ion collisions using deep learning

Classification of equation of state in relativistic heavy-ion collisions using deep learning

Abstract Convolutional Neural Nets, which is a powerful method of Deep Learning, is applied to classify equation of state of heavy-ion collision event generated within the UrQMD model. Event-by-event transverse momentum and azimuthal angle distributions of protons are used to train a classifier. An...

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Bibliographic Details
Main Authors: Yu. Kvasiuk, E. Zabrodin, L. Bravina, I. Didur, M. Frolov
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Journal of High Energy Physics
Subjects:
Heavy Ion Phenomenology
Phenomenological Models
Online Access:http://link.springer.com/article/10.1007/JHEP07(2020)133

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http://link.springer.com/article/10.1007/JHEP07(2020)133

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