From the 2 of 9 linked papers with an AI index.
39 citations · 39 across the 3 of their papers we have counts for
9 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…
Waveform Modelling for the Laser Interferometer Space Antenna
LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay +144
LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will exp…
Site Evaluation and Cost Estimation for Cosmic Explorer
Laurence Datrier, Geoffrey Lovelace, Joshua R. Smith +2
Cosmic Explorer (CE) is a proposed next generation gravitational-wave observatory that would be sited in the United States. As of 2025, CE is in its design phase, with plans to beg…
The SXS Collaboration's third catalog of binary black hole simulations
Mark A. Scheel, Michael Boyle, Keefe Mitman +56
We present a major update to the Simulating eXtreme Spacetimes (SXS) Collaboration's catalog of binary black hole simulations. Using highly efficient spectral methods implemented i…
Signatures from metastable oppositely-charged black hole binaries in scalar Gauss-Bonnet gravity
Guillermo Lara, Maxence Corman, Peter James Nee +14
We conduct numerical simulations of inspiraling, oppositely-charged black holes in the class of scalar-Gauss-Bonnet theories that exhibit spontaneous black hole scalarization. For…