Numerical Relativity

Our numerical relativity research develops advanced computational methods to solve Einstein's field equations and simulate extreme gravitational phenomena. We use state-of-the-art codes like the Einstein Toolkit to perform high-precision simulations of compact object mergers and other relativistic systems.

Numerical Simulations of Compact Binary Mergers

We perform numerical relativity (NR) simulations to model the dynamics of binary black hole and binary neutron star mergers. These simulations are essential for calibrating waveform models like TEOBResumS and for testing the predictions of general relativity. Our work includes simulations of eccentric binaries, systems with exotic compact objects, and post-merger remnants. We use the Einstein Toolkit, incorporating advanced physics such as magnetic-field evolution and finite-temperature equations of state.

Einstein Toolkit and MInIT Turbulence Model

Advanced numerical simulations of binary neutron star mergers require sophisticated treatment of turbulent phenomena and angular momentum transport in hypermassive neutron stars (HMNS). We have developed and implemented the MInIT turbulence model within the Einstein Toolkit framework to better capture the physics of post-merger remnants. This includes studying magnetic-field amplification mechanisms and their role in powering short gamma-ray bursts and generating characteristic post-merger gravitational wave signals.

Waveform Catalogs and Template Banks

Our NR simulations are used to construct comprehensive waveform catalogs for various astrophysical scenarios, including exotic compact object mergers and highly eccentric binaries. These catalogs serve as benchmarks for semi-analytical models and are crucial for developing accurate template banks for gravitational wave searches. We perform parameter estimation studies using these waveforms to assess the detectability and characterization capabilities of current and future GW detectors.