5 papers
Transverse spherocity dependence of azimuthal anisotropy in heavy-ion collisions at the LHC using a multi-phase transport model
Neelkamal Mallick, Raghunath Sahoo, Sushanta Tripathy +1
One of the event shape observables, the transverse spherocity (), has been studied successfully in small collision systems such as proton-proton collisions at the LHC as a too…
Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC
Aditya Nath Mishra, Neelkamal Mallick, Sushanta Tripathy +2
Machine learning techniques have been quite popular recently in the high-energy physics community and have led to numerous developments in this field. In heavy-ion collisions, one…
Estimation of Impact Parameter and Transverse Spherocity in heavy-ion collisions at the LHC energies using Machine Learning
Neelkamal Mallick, Sushanta Tripathy, Aditya Nath Mishra +2
Recently, machine learning (ML) techniques have led to a range of numerous developments in the field of nuclear and high-energy physics. In heavy-ion collisions, the impact paramet…
Study of Transverse Spherocity and Azimuthal Anisotropy in Pb-Pb collisions at = 5.02 TeV using A Multi-Phase Transport Model
Neelkamal Mallick, Raghunath Sahoo, Sushanta Tripathy +1
Transverse spherocity is an event shape observable having a very unique capability to separate the events based on their geometrical shapes. Recent results from experiments at the…
First implementation of transverse spherocity analysis for heavy-ion collisions at the Large Hadron Collider energies
Neelkamal Mallick, Sushanta Tripathy, Raghunath Sahoo +1
Transverse spherocity, an event shape observable, has a very unique capability to separate the events based on their geometrical shape, i.e. jetty and isotropic. In this work, we u…