pith. sign in

arxiv: 2505.17814 · v1 · pith:FOTJZGL6new · submitted 2025-05-23 · 🌀 gr-qc · astro-ph.IM· physics.data-an· physics.space-ph

Searching for extreme mass ratio inspirals in LISA: from identification to parameter estimation

classification 🌀 gr-qc astro-ph.IMphysics.data-anphysics.space-ph
keywords lisadataemrisestimationinspiralsparametersearchsignals
0
0 comments X
read the original abstract

The Laser Interferometer Space Antenna (LISA) is a planned space-based observatory designed to detect gravitational waves (GWs) within the millihertz frequency range. LISA is anticipated to observe the inspiral of compact objects into black holes at the centers of galaxies, so called extreme-mass-ratio inspirals (EMRIs). However, the extraction of these long-lived complex signals is challenging due to the large size and multimodality of the search space. In this study, we introduce a new search strategy that allows us to find EMRI signals in noisy data from wide priors all the way to performing parameter estimation. This work is an important step in understanding how to extract EMRIs from future LISA data.

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 2 Pith papers

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

  1. 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.

  2. 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.