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Estimating Elliptic Flow Coefficient in Heavy Ion Collisions using Deep Learning

Machine learning techniques have been employed for the high energy physics community since the early 80s to deal with a broad spectrum of problems. This work explores the prospects of using deep learning techniques to estimate elliptic flow (<math display="inline"><msub><mi&...

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Detalles Bibliográficos
Autores principales:	Mallick, Neelkamal, Prasad, Suraj, Mishra, Aditya Nath, Sahoo, Raghunath, Barnaföldi, Gergely Gábor
Lenguaje:	eng
Publicado:	2022
Materias:	nucl-th Nuclear Physics - Theory nucl-ex Nuclear Physics - Experiment hep-th Particle Physics - Theory hep-ex Particle Physics - Experiment hep-ph Particle Physics - Phenomenology
Acceso en línea:	https://dx.doi.org/10.1103/PhysRevD.105.114022 http://cds.cern.ch/record/2803022

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