34 citations · 296 across the 31 of their papers we have counts for
31 papers
Constraining -cluster compactness in and at TeV energies using azimuthal anisotropy
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +2
Anisotropic flow in ultra-relativistic light-ion collisions is sensitive to the initial geometry of the colliding nuclei. We investigate whether elliptic flow measurements can cons…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Dynamics of Hot QCD Matter -- Current Status and Developments
Santosh K. Das, Prabhakar Palni, Jhuma Sannigrahi +64
The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists…
Probing initial geometrical anisotropy and final azimuthal anisotropy in heavy-ion collisions at Large Hadron Collider energies through event-shape engineering
Suraj Prasad, Neelkamal Mallick, Sushanta Tripathy +1
Anisotropic flow is accredited to have effects from the initial state geometry and fluctuations in the nuclear overlap region. The elliptic flow () and triangular flow ()…
Estimating Elliptic Flow Coefficient in Heavy Ion Collisions using Deep Learning
Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2
Machine Learning (ML) techniques have been employed for the high energy physics (HEP) community since the early 80s to deal with a broad spectrum of problems. This work explores th…
Event topology and global observables in heavy-ion collisions at the Large Hadron Collider
Suraj Prasad, Neelkamal Mallick, Debadatta Behera +2
Particle production and event topology are very strongly correlated in high-energy hadronic and nuclear collisions. Event topology is decided by the underlying particle production…
A new logistic growth model applied to COVID-19 fatality data
S. Triambak, D. P. Mahapatra, N. Mallick +1
Background: Recent work showed that the temporal growth of the novel coronavirus disease (COVID-19) follows a sub-exponential power-law scaling whenever effective control intervent…