activity
19922026
most citedInspiral-merger-ringdown waveforms for black-hole binaries with non-precessing spins

625 citations · 7.6k across the 72 of their papers we have counts for

collaborators

75 papers

gr-qc2026

A Fully Analytic Expression for the 2PN N-Body Hamiltonian

Felix M. Heinze, Gerhard Schäfer, Bernd Brügmann

We present a complete analytic expression for the -body Hamiltonian of nonspinning point particles at second post-Newtonian (2PN) order in the Arnowitt-Deser-Misner (ADM) gauge.…

gr-qc2025★ 5 cited

Exploring the Dynamics of General Relativistic Binary-Single and Binary-Binary Encounters of Black Holes

Felix M. Heinze, Bernd Brügmann, Tim Dietrich +1

In this exploratory study, we demonstrate the capability of the numerical-relativity code BAM to simulate fully relativistic black-hole binary-single and binary-binary encounters.…

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.IM2024★ 7 cited

Convolutional Neural Networks for signal detection in real LIGO data

Ondřej Zelenka, Bernd Brügmann, Frank Ohme

Searching the data of gravitational-wave detectors for signals from compact binary mergers is a computationally demanding task. Recently, machine learning algorithms have been prop…

gr-qc2023★ 24 cited

Critical phenomena in the collapse of gravitational waves

Thomas W. Baumgarte, Bernd Brügmann, Daniela Cors +6

Fine-tuning generic but smooth spherically-symmetric initial data for general relativity to the threshold of dynamical black hole formation creates arbitrarily large curvatures, me…

gr-qc2023★ 16 cited

Adaptive hp-Refinement for Spectral Elements in Numerical Relativity

Sarah Renkhoff, Daniela Cors, David Hilditch +1

When a numerical simulation has to handle a physics problem with a wide range of time-dependent length scales, dynamically adaptive discretizations can be the method of choice. We…