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20002026
most citedAccurate Evolutions of Orbiting Black-Hole Binaries Without Excision

1.4k citations · 7.8k across the 90 of their papers we have counts for

collaborators

90 papers

astro-ph.HE2026

Jet variability in small mass ratio supermassive black hole binaries

Jay V. Kalinani, Manuela Campanelli, Michail Chabanov +4

We present three-dimensional general relativistic magnetohydrodynamic simulations of a precessing supermassive black hole binary with mass ratio q=1/7, embedded in a circumbinary d…

astro-ph.HE2026

Magnetic Eruption and Nucleosynthesis in GRνMHD Simulations of Spinning Neutron Star Mergers

Allen Wen, Jay V. Kalinani, Michail Chabanov +3

We present three-dimensional general relativistic magnetohydrodynamics simulations of equal-mass binary neutron star mergers with varied neutron star spin configurations and second…

astro-ph.GA2025

Accretion, Jets, and Recoil in a Merging Supermassive Black Hole Binary: A Prompt Electromagnetic Postmerger Counterpart for LISA

Maria Chiara de Simone, Manuela Campanelli, Lorenzo Ennoggi +2

We report the first three-dimensional general relativistic magnetohydrodynamic simulation to follow, self-consistently in a dynamical spacetime, the magnetized gas around a misalig…

astro-ph.HE2025

The merger of spinning, accreting supermassive black hole binaries

Lorenzo Ennoggi, Manuela Campanelli, Julian Krolik +3

Because they are likely to accrete substantial amounts of interstellar gas, merging supermassive binary black holes are expected to be strong multimessenger sources, radiating grav…

astro-ph.HE2025★ 1 cited

Jet-environment interaction after delayed collapse in binary neutron star mergers

Jay V. Kalinani, Riccardo Ciolfi, Manuela Campanelli +4

We present general relativistic magnetohydrodynamic simulations of binary neutron star (BNS) mergers, where the collapse of the metastable massive neutron star (MNS) remnant leads…

astro-ph.IM2025

GPU-accelerated Subcycling Time Integration with the Einstein Toolkit

Liwei Ji, Roland Haas, Yosef Zlochower +3

Adaptive Mesh Refinement (AMR) with subcycling in time enables different grid levels to advance using their own time steps, ensuring finer grids employ smaller steps for accuracy w…