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20202026
most citedPredictions on global properties in O+O collisions at the Large Hadron Collider using a multi-phase transport model

34 citations · 296 across the 31 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

nucl-th2024

Dynamics of Hot QCD Matter 2024 -- Bulk Properties

Prabhakar Palni, Amal Sarkar, Santosh K. Das +44

The second Hot QCD Matter 2024 conference at IIT Mandi focused on various ongoing topics in high-energy heavy-ion collisions, encompassing theoretical and experimental perspectives…

hep-ph2024

A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies

Gergely Gábor Barnaföldi, Neelkamal Mallick, Suraj Prasad +2

We developed a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is m…

hep-ph2024★ 5 cited

Probing strangeness with event topology classifiers in pp collisions at energies available at the CERN Large Hadron Collider with the rope hadronization mechanism in PYTHIA

Suraj Prasad, Bhagyarathi Sahoo, Sushanta Tripathy +2

In relativistic heavy-ion collisions, the formation of a deconfined and thermalized state of partons, known as quark-gluon plasma (QGP), leads to enhanced production of strange had…

nucl-th2024★ 13 cited

Anisotropic flow fluctuation as a possible signature of clustered nuclear geometry in O-O collisions at the Large Hadron Collider

Suraj Prasad, Neelkamal Mallick, Raghunath Sahoo +1

Nuclei having number of nucleons are theorized to possess clusters of particles (He nucleus). The Oxygen nucleus (O) is a doubly magic nucleus, where the presen…

nucl-th2024★ 4 cited

Role of clustered nuclear geometry in particle production through p-C and p-O collisions at the Large Hadron Collider

Aswathy Menon K R, Suraj Prasad, Neelkamal Mallick +1

Long-range multi-particle correlations in heavy-ion collisions have shown conclusive evidence of the hydrodynamic behavior of strongly interacting matter and are associated with th…

hep-ph2024★ 6 cited

A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider

Kangkan Goswami, Suraj Prasad, Neelkamal Mallick +2

n proton-proton and heavy-ion collisions, the study of charm hadrons plays a pivotal role in understanding the QCD medium and provides an undisputed testing ground for the theory o…