activity
20192026
most citedGRaM-X: A new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit

25 citations · 34 across the 9 of their papers we have counts for

collaborators

10 papers

astro-ph.HE2026

Neutrino transport and flavor instabilities in a post-merger disk

Erick Urquilla, Swapnil Shankar, Debraj Kundu +6

Neutron star mergers are multimessenger sources whose dynamics and signals depend critically on neutrinos and their flavor transformations. We investigate whether fast and collisio…

cond-mat.supr-con2026★ 1 cited

Imaging the Meissner effect and local superfluid stiffness in a graphene superconductor

Ruoxi Zhang, Benjamin A. Foutty, Owen Sheekey +15

We report the observation of the Meissner effect in a rhombohedral graphene superconductor, realized via direct imaging of the static fringe magnetic field. In our few-micron sampl…

astro-ph.HE2025

A resistive MHD module in the GPU-accelerated GRMHD code GRaM-X

Sara Azizi, Swapnil Shankar, Philipp Mösta +2

Relativistic macroscopic plasma dynamics can be described by general-relativistic magnetohydrodynamics. In many high-energy astrophysical settings, such as the interior dynamics of…

astro-ph.HE2025★ 2 cited

Gravitational waves from magnetorotational core-collapse supernovae using 3D GRMHD simulations: effect of rotation and magnetic fields

Sophia C. Schnauck, Swapnil Shankar, Philipp Mösta +2

We investigate the gravitational wave emission for 10 supernova progenitors from magnetorotational core-collapse to the supernova explosion using fully three-dimensional dynamical-…

astro-ph.HE2025

A Black Hole is Born: 3D GRMHD Simulation of Black Hole Formation from Core-Collapse

Goni Halevi, Swapnil Shankar, Philipp Mösta +2

We present the first three-dimensional, fully general-relativistic magnetohydrodynamic (3D GRMHD) simulation of a black hole (BH) formed from the collapsed core of a massive star.…

astro-ph.HE2025★ 2 cited

3D full-GR simulations of magnetorotational core-collapse supernovae on GPUs: A systematic study of rotation rates and magnetic fields

Swapnil Shankar, Philipp Mösta, Roland Haas +1

We present a series of fully three-dimensional, dynamical-spacetime general relativistic magnetohydrodynamics (GRMHD) simulations of core-collapse supernovae (CCSNe) for a progenit…

gr-qc2024

General Relativistic Magneto-Hydrodynamic Simulations with BAM: Implementation and Code Comparison

Anna Neuweiler, Tim Dietrich, Bernd Brügmann +7

Binary neutron star mergers are among the most energetic events in our Universe, with magnetic fields significantly impacting their dynamics, particularly after the merger. While n…

astro-ph.IM2022★ 25 cited

GRaM-X: A new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit

Swapnil Shankar, Philipp Mösta, Steven R. Brandt +3

We present GRaM-X (General Relativistic accelerated Magnetohydrodynamics on AMReX), a new GPU-accelerated dynamical-spacetime general relativistic magnetohydrodynamics (GRMHD) code…

astro-ph.HE2021★ 2 cited

Proto-magnetar jets as central engines for broad-lined type Ic supernovae

Swapnil Shankar, Philipp Mösta, Jennifer Barnes +2

A subset of type Ic supernovae (SNe Ic), broad-lined SNe Ic (SNe Ic-bl), show unusually high kinetic energies ( erg) which cannot be explained by the energy supplied…

astro-ph.CO2019★ 2 cited

The probability distribution of 3-D shapes of galaxy clusters from 2-D X-ray images

Swapnil Shankar, Rishi Khatri

We present a new method to determine the probability distribution of the 3-D shapes of galaxy clusters from the 2-D images using stereology. In contrast to the conventional approac…