34 citations · 296 across the 31 of their papers we have counts for
8 papers · 1 filter
Topological production of charmonia with event-shape engineering in collisions at TeV using PYTHIA8
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +1
The production of heavy quarks (charm and beauty) in high-energy hadronic and nuclear collisions provides an excellent testing ground for the theory of strong interactions and vali…
Mean free path of photons in relativistic heavy ion collisions
Jajati K. Nayak, Rupa Chatterjee
Electromagnetic probes, such as photons and dileptons, play a key role in diagnosing the initial temperature of the hot and dense quark-gluon plasma (QGP) matter created in relativ…
Probing the sensitivity of anisotropic flow coefficients to the initial nuclear structure in pO and OO collisions at the LHC
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +2
RHIC and LHC have injected nuclei in their accelerator complexes with a focus on investigating collectivity and the origin of quark-gluon plasma signatures in small co…
Higher order flow coefficients -- A Messenger of QCD medium formed in heavy-ion collisions at the Large Hadron Collider
Suraj Prasad, Aswathy Menon K R, Raghunath Sahoo +1
Anisotropic flow and fluctuations are sensitive observables of the initial state effects in heavy ion collisions and are characterized by the medium properties and final state inte…
Charm-hadron reconstruction through three body decay in hadronic collisions using Machine Learning
Neelkamal Mallick, Hadi Hassan, D. J. Kim
Studies of heavy-quark (charm and beauty) production in hadronic and nuclear collisions provide excellent testing grounds for the theory of strong interaction, quantum chromodynami…
Exploring the effects of -clustered structure of nuclei in anisotropic flow fluctuations in - collisions at the LHC within a CGC+Hydro framework
Suraj Prasad, Neelkamal Mallick, Raghunath Sahoo +1
In this paper, we explore the effects of the presence of clustered nuclear structure of in the final state elliptic flow fluctuations through - collisions…
Prompt and non-prompt production of charm hadrons in proton-proton collisions at the Large Hadron Collider using machine learning
Raghunath Sahoo, Suraj Prasad, Neelkamal Mallick +2
In this contribution, we use machine learning (ML) based models to separate the prompt and non-prompt production of heavy flavour hadrons, such as and J/, in proton-proton…
Machine learning-based b-jet tagging in collisions at TeV
Hadi Hassan, Neelkamal Mallick, D. J. Kim
Studying heavy-flavor jets in collision is important since they can test pQCD calculations and be used as a reference for heavy-ion collisions. Jets in this analysis are recon…