5 papers
Effects of Geometric configuration in relativistic isobaric collisions at GeV
Akash Das, Satya Ranjan Nayak, B. K. Singh
In this work, we present a study on the effects of nuclear deformation (,) and surface diffuseness () on the charged hadron multiplicity () and elli…
Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: A comparison with data-driven neural networks
Akash Das, Satya Ranjan Nayak, B. K. Singh
In this study, we employ a conventional deep neural network (NN) framework integrated with physics-based constraints to predict charged hadron multiplicity () in hea…
Two-particle cumulant distribution: a simulation study of higher moments
Satya Ranjan Nayak, Akash Das, B. K. Singh
In this work, we have shown the two-particle correlations of charged hadrons in d-Au collisions at 200 GeV in PYTHIA8/Angantyr simulations. These correlations were studied at diffe…
Statistical properties of non-flow correlations in pp and heavy-ion collisions at RHIC energies
Satya Ranjan Nayak, Akash Das, B. K. Singh
In this work, we have studied the two-particle cumulant in pp, d-Au, and Au-Au collisions. The two-particle cumulant was treated as an event-by-event distribution, and its skewness…
Separating non-collective effects in d-Au collisions
Satya Ranjan Nayak, Akash Das, B. K. Singh
In this work, we present the multiplicity and yield of charged hadrons and particle ratios in d-Au collisions at GeV using the PYTHIA8/Angantyr. The model repr…