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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 2023Show all

4 papers · 1 filter

hep-ph2023★ 3 cited

Investigating radial flow-like effects via pseudorapidity and transverse spherocity dependence of particle production in pp collisions at the LHC

Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Sushanta Tripathy +2

Recent observations of quark-gluon plasma (QGP) like signatures in high multiplicity proton-proton (pp) collisions, have compelled the heavy-ion physics community to re-examine sma…

hep-ph2023★ 5 cited

Inclusive, prompt and non-prompt identification in proton-proton collisions at the Large Hadron Collider using machine learning

Suraj Prasad, Neelkamal Mallick, Raghunath Sahoo

Studies related to meson, a bound state of charm and anti-charm quarks (), in heavy-ion collisions, provide genuine testing grounds for the theory of strong in…

hep-ph2023★ 21 cited

Effects of clustered nuclear geometry on the anisotropic flow in O-O collisions at the LHC within a multiphase transport model framework

Debadatta Behera, Suraj Prasad, Neelkamal Mallick +1

To understand the true origin of flowlike signatures and applicability of hydrodynamics in small collision systems, effects of soft QCD dynamics, the sensitivity of jetlike correla…

hep-ph2023★ 17 cited

Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies

Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2

Recent developments on a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions have shown us the prediction power of this tec…