119 citations · 1.1k across the 53 of their papers we have counts for
33 papers · 1 filter
Confronting the production mechanisms of nuclei with deuteron and proton-triggered balance functions
Sushanta Tripathy, Peter Christiansen
In ultra high-energy collisions, nuclei with very low binding energies are not expected to survive the dense and hot final state environment. The traditional view has therefore bee…
Event Topology Classifiers at the Large Hadron Collider
Suraj Prasad, Sushanta Tripathy, Bhagyarathi Sahoo +1
Event classifiers are the most fundamental observables to probe the event topology of hadronic and nuclear collisions at relativistic energies. Over the last five decades, signific…
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…
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…
Unveiling the effects of multiple soft partonic interactions in pp collisions at TeV using charged-particle flattenicity
Antonio Ortiz, Arvind Khuntia, Omar Vázquez-Rueda +4
Event classifiers based either on the charged-particle multiplicity or the event shape have been extensively used in proton-proton (pp) collisions by the ALICE collaboration at the…
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 ()…
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…
Transverse spherocity dependence of azimuthal anisotropy in heavy-ion collisions at the LHC using a multi-phase transport model
Neelkamal Mallick, Raghunath Sahoo, Sushanta Tripathy +1
One of the event shape observables, the transverse spherocity (), has been studied successfully in small collision systems such as proton-proton collisions at the LHC as a too…
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…
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…
Event topology and constituent-quark scaling of elliptic flow in heavy-ion collisions at the Large Hadron Collider using a multiphase transport model
Neelkamal Mallick, Sushanta Tripathy, Raghunath Sahoo
Transverse spherocity is an event shape observable, which separates the events based on their geometrical shapes. In this work, we use transverse spherocity to study the identified…
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…
Study of Transverse Spherocity and Azimuthal Anisotropy in Pb-Pb collisions at = 5.02 TeV using A Multi-Phase Transport Model
Neelkamal Mallick, Raghunath Sahoo, Sushanta Tripathy +1
Transverse spherocity is an event shape observable having a very unique capability to separate the events based on their geometrical shapes. Recent results from experiments at the…
Deciphering QCD dynamics in small collision systems using event shape and final state multiplicity at the Large Hadron Collider
Suman Deb, Sushanta Tripathy, Golam Sarwar +2
The high-multiplicity pp collisions at the Large Hadron Collider energies with various heavy-ion-like signatures have warranted a deeper understanding of the underlying physics and…
Apparent modification of the jet-like yield in proton-proton collisions with large underlying event
Gyula Bencédi, Antonio Ortiz, Sushanta Tripathy
This paper presents the production of charged particles associated with high- trigger particles ( GeV/) in proton-proton collisions at $\s…
Multi-Parton Interactions in pp collisions from Machine Learning-based regression
Antonio Ortiz, Antonio Paz, Jose D. Romo +3
Multi-Parton Interactions (MPI) in pp collisions have attracted the attention of the heavy-ion community since they can help to elucidate the origin of collective-like effects disc…
Multiplicity Dependence of Shear Viscosity, Isothermal Compressibility and Speed of Sound in collisions at = 7 TeV
Dushmanta Sahu, Sushanta Tripathy, Raghunath Sahoo +1
In order to understand the detailed dynamics of systems produced in collisions, it is essential to know about the Equation of State (EoS) and various thermodynamic properties.…
First implementation of transverse spherocity analysis for heavy-ion collisions at the Large Hadron Collider energies
Neelkamal Mallick, Sushanta Tripathy, Raghunath Sahoo +1
Transverse spherocity, an event shape observable, has a very unique capability to separate the events based on their geometrical shape, i.e. jetty and isotropic. In this work, we u…
Possible Formation of a Perfect Fluid in , -Pb, Xe-Xe and Pb-Pb Collisions at the Large Hadron Collider Energies: A Color String Percolation Approach
Dushmanta Sahu, Sushanta Tripathy, Raghunath Sahoo +1
Isothermal compressibility () is an important thermodynamic observable which gives information about the deviation of a system from perfect fluid behavior. In this work,…
Role of event multiplicity on hadronic phase lifetime and QCD phase boundary in ultrarelativistic collisions at energies available at the BNL Relativistic Heavy Ion Collider and CERN Large Hadron Collider
Dushmanta Sahu, Sushanta Tripathy, Girija Sankar Pradhan +1
Hadronic resonances, having very short lifetime, like , can act as useful probes to understand and estimate lifetime of hadronic phase in ultra-relativistic proton-pro…
A Baseline Study of the Event-shape and Multiplicity Dependence of Chemical Freeze-out Parameters in Proton-Proton Collisions at = 13 TeV Using PYTHIA8
Rutuparna Rath, Arvind Khuntia, Sushanta Tripathy +1
The event-shape and multiplicity dependence of the chemical freeze-out temperature (), freeze-out radius (), and strangeness saturation factor () are obtai…
Event shape and Multiplicity dependence of Freeze-out Scenario and System Thermodynamics in Proton+Proton Collisions at = 13 TeV using PYTHIA8
Sushanta Tripathy, Ashish Bisht, Raghunath Sahoo +2
Recent observations of QGP-like conditions in high-multiplicity pp collisions from ALICE experiment at the LHC warrants an introspection whether to use pp collisions as a baseline…
Violation of Wiedemann-Franz Law for Hot Hadronic Matter created at NICA, FAIR and RHIC Energies using Non-extensive Statistics
Rutuparna Rath, Sushanta Tripathy, Bhaswar Chatterjee +3
We present here the computation of electrical and thermal conductivity by solving the Boltzmann transport equation in relaxation time approximation. We use the -generalized Bolt…
Identified particle production in Xe+Xe collisions at = 5.44 TeV using a multiphase transport model
Rutuparna Rath, Sushanta Tripathy, Raghunath Sahoo +2
Xe+Xe collisions at relativistic energies provide us with an opportunity to study a possible system with deconfined quarks and gluons, whose size is in between those produced by p+…