pith. sign in

arxiv: 2505.16795 · v2 · pith:PD7EI6ARnew · submitted 2025-05-22 · 🌀 gr-qc · astro-ph.CO· astro-ph.HE· astro-ph.IM

Sequential simulation-based inference for extreme mass ratio inspirals

Philippa S. Cole , James Alvey , Lorenzo Speri , Christoph Weniger , Uddipta Bhardwaj , Davide Gerosa , Gianfranco Bertone This is my paper
classification 🌀 gr-qc astro-ph.COastro-ph.HEastro-ph.IM
keywords inspiralsparameteranalysiscomplexdatadimensionalestimationextreme
0
0 comments X
read the original abstract

Extreme mass-ratio inspirals pose a difficult challenge in terms of both search and parameter estimation for upcoming space-based gravitational-wave detectors such as LISA. Their signals are long and of complex morphology, meaning they carry a large amount of information about their source, but their waveforms are expensive to compute and they occupy a vast and multi-modal parameter space. We explore how sequential simulation-based inference methods, specifically truncated marginal neural ratio estimation, could offer solutions to some of the challenges surrounding extreme-mass-ratio inspiral data analysis. We show that this method can efficiently narrow down the volume of the complex 11-dimensional search parameter space by a factor of $10^6-10^7$ and provide 1-dimensional marginal proposal distributions for non-spinning extreme-mass-ratio inspirals. We discuss the current limitations of this approach and place it in the broader context of a global strategy for future space-based gravitational-wave data analysis.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Parameter-estimation bias induced by transient orbital resonances in extreme-mass-ratio inspirals

    gr-qc 2026-04 unverdicted novelty 5.0

    Neglecting transient orbital resonances in EMRIs causes significant SNR losses and biases in recovered parameters, with the sign and amplitude of resonance-induced changes to integrals of motion being critical.

  2. Probing Kerr Symmetry Breaking with LISA Extreme-Mass-Ratio Inspirals

    gr-qc 2026-04 unverdicted novelty 5.0

    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.

  3. Global time-frequency search for stellar-mass binary black holes in LISA

    gr-qc 2025-10 unverdicted novelty 5.0

    A time-frequency semi-coherent search pipeline detects stellar-mass BBH inspirals in LISA data down to coherent SNR of approximately 11-14 on the Yorsh data challenge for aligned-spin, low-eccentricity systems.

  4. A multi-parameter expansion for the evolution of asymmetric binaries in astrophysical environments

    gr-qc 2025-07 unverdicted novelty 5.0

    A multi-parameter formalism is developed to describe asymmetric binaries in general matter distributions by perturbing around Schwarzschild and reducing metric and fluid perturbations to wave equations similar to the ...