From the 2 of 18 linked papers with an AI index.
18 papers
High-accuracy drivers to simulate black hole binaries beyond general relativity with the fixing-the-equations approach
Guillermo Lara, Harald P. Pfeiffer, Nils Deppe +9
The paper implements a fixing‑the‑equations method in the Spectre code to generate accurate numerical‑relativity waveforms for black‑hole binaries in shift‑symmetric scalar Gauss‑B…
Towards long and accurate numerical relativity waveforms of binary black holes beyond general relativity
Guillermo Lara, Harald P. Pfeiffer, Nils Deppe +9
The paper presents long, accurate numerical relativity simulations of equal‑mass, nonspinning binary black holes in shift‑symmetric scalar Gauss‑Bonnet gravity, generating waveform…
The Bondi--Sachs gauge, BMS frames, and memory in black hole perturbation theory
Andrew Spiers, Adam Pound, Jordan Moxon
As LISA and other next-generation detectors demand increasingly accurate waveform models, there is a growing need for these models to precisely control gauge freedoms that had prev…
Merger remnant and eccentricity dynamics surrogates for eccentric nonspinning black hole binaries
Adhrit Ravichandran, Peter James Nee, Keefe Mitman +22
Accurate models of merger remnants are increasingly important for gravitational-wave science, including precision tests of gravity with ringdown, inference of black-hole population…
Fixing the center-of-mass frame of numerical relativity waveforms using the post-Newtonian center-of-mass charge
Aniket Khairnar, Leo C. Stein, Michael Boyle +7
The Bondi--van der Burg--Metzner--Sachs (BMS) frame of gravitational waves produced by numerical relativity (NR) simulations is crucial for building accurate waveform models. A pro…
Error quantification and comparison of binary neutron star gravitational waveforms from numerical relativity codes
Sarah Habib, Elias R. Most, Nils Deppe +11
Future gravitational wave detections of merging binary neutron star systems have the possibility to tightly constrain the equation of state of dense nuclear matter. In order to ext…