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

2025/05/23 by Strub, Stefan H., Speri, Lorenzo, Giardini, Domenico · 3 citations
#Data Analysis #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Space Physics (physics.space-ph) #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.2505.17814

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.

Citations

• High-speed reconstruction of long-duration gravitational waves from extreme mass ratio inspirals using sparse dictionary learning
• Probing fundamental physics with Extreme Mass Ratio Inspirals: a full Bayesian inference for scalar charge
• Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries
• LISA Definition Study Report
• The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning
• Accelerating global parameter estimation of gravitational waves from Galactic binaries using a genetic algorithm and GPUs
• Disks, spikes, and clouds: distinguishing environmental effects on BBH gravitational waveforms
• Location of the last stable orbit in Kerr spacetime
• SciPy 1.0: fundamental algorithms for scientific computing in Python
• emcee: The MCMC Hammer

Cited by

• Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals
• Constraining the Deviation of Kerr Metric via Bumpy Parameterization and Particle Swarm Optimization in Extreme Mass-Ratio Inspirals
• Analytical self-force on scalar particle in eccentric orbits around a Schwarzschild black hole

Related

• Ab uno disce omnes: Single-harmonic search for extreme mass-ratio inspirals
• Constraints on the extreme mass-ratio inspiral population from LISA data
• Assessing signal cross talk between extreme-mass-ratio inspirals and Galactic binaries in LISA data
• Strongly-Lensed Extreme Mass-ratio Inspirals
• Global time-frequency search for stellar-mass binary black holes in LISA