most citedThe stochastic relativistic advection diffusion equation from the Metropolis algorithm

20 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

hep-th2026

Necessary conditions for causality from linearized stability at ultra-high boosts

Shuvayu Roy, Sukanya Mitra, Rajeev Singh

In this work, we provide a novel method to constrain the causal parameter space of a relativistic hydrodynamic system exclusively from its linear stability analysis at non-zero mom…

nucl-th2026

Modeling polarization in AuAu collisions at GeV using relativistic spin hydrodynamics

Matteo Buzzegoli, Aleksandar Gecic, Rajeev Singh

We investigate spin polarization dynamics in relativistic heavy-ion collisions using ideal relativistic spin hydrodynamics, employing non-boost-invariant longitudinal solutions as…

nucl-th2024★ 1 cited

Stochastic relativistic viscous hydrodynamics from the Metropolis algorithm

Jay Bhambure, Rajeev Singh, Derek Teaney

We propose an algorithm for simulating stochastic relativistic fluid dynamics based on Metropolis updates. Each step of the algorithm begins with an update based on ideal hydrodyna…

nucl-th2024★ 1 cited

Relativistic Viscous Hydrodynamics in the Density Frame: Numerical Tests and Comparisons

Jay Bhambure, Aleksas Mazeliauskas, Jean-Francois Paquet +4

We conduct a numerical study of relativistic viscous fluid dynamics in the Density Frame for one-dimensional fluid flows. The Density Frame is a formulation of relativistic viscous…

nucl-th2024★ 20 cited

The stochastic relativistic advection diffusion equation from the Metropolis algorithm

Gokce Basar, Jay Bhambure, Rajeev Singh +1

We study an approach to simulating the stochastic relativistic advection-diffusion equation based on the Metropolis algorithm. We show that the dissipative dynamics of the boosted…