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¹Max Planck Institute for Gravitational Physics (Albert Einstein Institute), D-14476 Potsdam, Germany
²Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Callinstraße 38, 30167 Hannover, Germany
³Leibniz Universität Hannover, Institut für Gravitationsphysik, Callinstraße 38, 30167 Hannover, Germany
⁴NASA Marshall Space Flight Center, Huntsville, Alabama 35811, USA
⁵Dipartimento di Fisica “G. Occhialini,” Universitá degli Studi di Milano-Bicocca, Piazza della Scienza 3, 20126 Milano, Italy
⁶INFN, Sezione di Milano-Bicocca, Piazza della Scienza 3, 20126 Milano, Italy

^*Contact author: martina.muratore@aei.mpg.de

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Articles Citing

Pipeline for searching and fitting instrumental glitches in LISA data

Accurate and efficient simulation-based inference for massive black-hole binaries with LISA

Loosely-coherent inference of long-inspiral gravitational-wave sources for robustness against modeling and data outliers

Environmentally induced chaos: Extreme-mass-ratio systems of rotating black holes in astrophysical environments

Handling data gaps for the next generation of gravitational-wave observatories

First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals

A pipeline for searching and fitting instrumental glitches in LISA data

Identifying Galactic Binary Systems of Neutron Stars and Black Holes with LISA

Detector characterization of laser interferometer gravitational-wave detectors

Enhancing Taiji’s parameter estimation under nonstationarity: A time-frequency domain framework for Galactic binaries and instrumental noises

Flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and stochastic gravitational wave backgrounds

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