activity
20172022
most citedMachine Learning model driven prediction of the initial geometry in Heavy-Ion Collision experiments

9 citations · 10 across the 3 of their papers we have counts for

collaborators

6 papers

hep-ph2022★ 9 cited

Machine Learning model driven prediction of the initial geometry in Heavy-Ion Collision experiments

Abhisek Saha, Debasis Dan, Soma Sanyal

We demonstrate high prediction accuracy of three important properties that determine the initial geometry of the heavy-ion collision (HIC) experiments by using supervised Machine L…

nucl-th2021

Anisotropic turbulence in relativistic plasmas

Abhisek Saha, Soma Sanyal

Signs of turbulence have been observed at the relativistic heavy ion collision at high collision energies. We study the signatures of turbulence in this system and find that there…

hep-ph2021★ 1 cited

Decay of baryon inhomogeneities in an expanding universe

Pratik K. Das, Sovan Sau, Abhisek Saha +1

Baryon inhomogeneities can be generated very early in the universe. These inhomogeneities then decay by particle diffusion in an expanding universe. We study the decay of these bar…

nucl-th2020

Temperature fluctuations and Tsallis statistics in Relativistic Heavy Ion collisions

Abhisek Saha, Soma Sanyal

We study temperature fluctuations in the initial stages of the relativistic heavy ion collision using a multiphase transport model. We consider the plasma in the initial stages aft…

hep-ph2019

Flow and vorticity with varying chemical potential in relativistic heavy ion collisions

Abhisek Saha, Soma Sanyal

We study the vorticity patterns in relativistic heavy ion collisions with respect to the collision energy. The collision energy is related to the chemical potential used in the the…

hep-ph2017

Diffusion of massive particles around an Abelian-Higgs string

Abhisek Saha, Soma Sanyal

We study the diffusion of massive particles in the space time of an Abelian Higgs string. The particles in the early universe plasma execute Brownian motion. This motion of the par…