LISA EMRIs can constrain deviations from Kerr equatorial symmetry to 10^{-2} and axial symmetry to 10^{-3} using Analytic Kludge waveforms and Fisher analysis.
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A neural-network-accelerated hierarchical Bayesian pipeline is developed and validated on a phenomenological model to constrain EMRI population parameters from LISA data.
Modeling accretion disk interactions with EMRIs allows reliable environment identification and boosts dark-siren Hubble constant precision by as much as 20% for individual events.
A review of existing waveform models for LISA sources and the challenges that must still be overcome.
citing papers explorer
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Probing Kerr Symmetry Breaking with LISA Extreme-Mass-Ratio Inspirals
LISA EMRIs can constrain deviations from Kerr equatorial symmetry to 10^{-2} and axial symmetry to 10^{-3} using Analytic Kludge waveforms and Fisher analysis.
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Constraints on the extreme mass-ratio inspiral population from LISA data
A neural-network-accelerated hierarchical Bayesian pipeline is developed and validated on a phenomenological model to constrain EMRI population parameters from LISA data.
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Probing Active Galactic Nuclei and Measuring the Hubble constant with Extreme-Mass-Ratio Inspirals
Modeling accretion disk interactions with EMRIs allows reliable environment identification and boosts dark-siren Hubble constant precision by as much as 20% for individual events.
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Waveform Modelling for the Laser Interferometer Space Antenna
A review of existing waveform models for LISA sources and the challenges that must still be overcome.