1.4k citations · 7.4k across the 117 of their papers we have counts for
121 papers
GUEST: Gravitational Universe Exploration with Satellite Tracking. A passive satellite laser-ranging mission for the dark gravitational Universe
Diego Blas, Aurélien Hees, F. Javier Atapuerca +78
GUEST is a space mission concept whose central objective is the detection of gravitational waves (GWs) in the microhertz band -- a physics-rich frequency window that no other prese…
Hamiltonian formalism, master functions and Darboux transformations for perturbed (interiors and exteriors of) nonrotating black holes
Michele Lenzi, Guillermo A. Mena Marugán, Andrés Mínguez-Sánchez +1
Motivated by their relevance to the interior of nonrotating black holes, classical and quantum Kantowski-Sachs cosmologies have recently attracted increasing attention. This intere…
LISA science ground segment conventions
Quentin Baghi, Stanislas Babak, Leor Barack +22
This document sets out the conventions used for data simulations, waveforms, and analysis pipelines within the Distributed Data Processing Centre (DDPC) of the Laser Interferometer…
Master variables and Darboux symmetry for axial perturbations of the exterior and interior of black hole spacetimes
Michele Lenzi, Guillermo A. Mena Marugán, Andrés Mínguez-Sánchez +1
Recent efforts have shown that Kantowski-Sachs spacetime provides a useful framework for analyzing perturbations inside a Schwarzschild black hole (BH). In these studies, the adopt…
Asymptotics and Universality in Black Holes: from the quasinormal Weyl's law to the binary merger waveform
José Luis Jaramillo, Lamis Al Sheikh, Jérémy Besson +7
Current state-of-the-art approaches to black hole (BH) dynamics, encompassing several effective approximation schemes, offer a remarkable control of the quantitative aspects of str…
Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood
Iván Martín Vílchez, Carlos F. Sopuerta
We propose a machine learning-based approach for parameter estimation of Massive Black Hole Binaries (MBHBs), leveraging normalizing flows to approximate the likelihood function. B…