111 citations · 714 across the 30 of their papers we have counts for
7 papers · 1 filter
Medium modification type phenomena observed in high-multiplicity p+p collisions at LHC energies
K. Dey, A. N. Mishra, S. K. Tripathy
Nuclear modification factor predicts whether a medium is formed in a collision system or not. One may verify, if scaling of momentum (transverse) distribution from heavy-ion system…
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…
Study of the jet transport coefficient at the Large Hadron Collider energies using Color String Percolation Model
Dushmanta Sahu, Aditya Nath Mishra, Raghunath Sahoo
In order to have a better understanding of the matter formed in ultra-relativistic collisions, we estimate the jet transport coefficient, , within the Color Sting Percolati…
Predictions on global properties in O+O collisions at the Large Hadron Collider using a multi-phase transport model
Debadatta Behera, Neelkamal Mallick, Sushanta Tripathy +3
Oxygen (O) ions are planned to be injected at the Large Hadron Collider (LHC) in its next runs, and a day of physics run is anticipated for O+O collisions at $\sqrt{s_{\rm{N…
Quantifying the Underlying Event: Investigating Angular Dependence of Multiplicity Classes and Transverse-momentum Spectra in High-energy pp Collisions at LHC Energies
Aditya Nath Mishra, Gergely Gábor Barnaföldi, Guy Paić
We present a study of the transverse momentum spectra and their evolution in function of the position of the azimuthal of the particles associated to the leading particle. Addition…
Jet Transport Coefficient at the Large Hadron Collider Energies in a Color String Percolation Approach
Aditya Nath Mishra, Dushmanta Sahu, Raghunath Sahoo
Within the color string percolation model (CSPM), jet transport coefficient, , is calculated for various multiplicity classes in proton-proton and centrality classes in nu…
Estimation of Impact Parameter and Transverse Spherocity in heavy-ion collisions at the LHC energies using Machine Learning
Neelkamal Mallick, Sushanta Tripathy, Aditya Nath Mishra +2
Recently, machine learning (ML) techniques have led to a range of numerous developments in the field of nuclear and high-energy physics. In heavy-ion collisions, the impact paramet…