activity
20182023
most citedGlobal baryon number conservation encoded in net-proton fluctuations measured in Pb-Pb collisions at = 2.76 TeV

62 citations · 478 across the 24 of their papers we have counts for

collaborators

24 papers

hep-ph2023★ 17 cited

Characterizing nuclear modification effects in high-energy O-O collisions at energies available at the CERN Large Hadron Collider: A transport model perspective

Debadatta Behera, Suman Deb, Captain R. Singh +1

The present work focuses on Oxygen-Oxygen (O-O) collisions, which are planned at the CERN Large Hadron Collider. Oxygen, being a doubly magic number nucleus, has some very unique f…

hep-ph2023

Energy flow in ultra-high energy cosmic ray interactions as a probe of thermalization: a potential solution to the muon puzzle

Ronald Scaria, Suman Deb, Captain R. Singh +1

Signatures of the formation of a strongly interacting thermalized matter of partons have been observed in nucleus-nucleus, proton-nucleus, and high-multiplicity proton-proton colli…

nucl-th2022★ 32 cited

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…

hep-ph2022★ 1 cited

Multiplicity, transverse momentum and pseudorapidity dependence of open-heavy flavored hadron production in proton+proton collisions at = 13 TeV using PYTHIA8

Bhagyarathi Sahoo, Suman Deb, Raghunath Sahoo

Recently, with the upgradation of LHC, it is realized that study of heavy-flavored hadrons, namely and in hadronic collisions, could reveal the possibility…

hep-ph2021

Extension of Glauber-like model for Proton-Proton collisions using anisotropic and inhomogeneous density profile

Suman Deb, Golam Sarwar, Dhananjaya Thakur +3

Results from proton-proton () collisions have routinely been used as a baseline to analyze and understand the production of QCD matter expected to be produced in nuclear collis…

hep-ph2021

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…