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Estimation of impact parameter and transverse spherocity in heavy-ion collisions at the LHC using machine learning techniques

The studies related to heavy-ion collisions at the Large Hadron Collider (LHC) at CERN, Switzerland and Relativistic Heavy Ion Collider (RHIC) at BNL, USA have revealed the formation of a dense and hot, deconfined state of matter known as the quark-gluon plasma (QGP). Presently, machine learning (ML...

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Detalles Bibliográficos
Autores principales:	Mallick, Neelkamal, Tripathy, Sushanta, Mishra, Aditya Nath, Deb, Suman, Sahoo, Raghunath
Lenguaje:	eng
Publicado:	2022
Materias:	Computing and Computers Particle Physics - Experiment Nuclear Physics - Theory Nuclear Physics - Experiment
Acceso en línea:	http://cds.cern.ch/record/2841804

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