Improved time-frequency analysis of extreme-mass-ratio inspiral signals in mock LISA data

Abstract

The planned Laser Interferometer Space Antenna (LISA) is expected to detect gravitational wave signals from ~100 extreme-mass-ratio inspirals (EMRIs) of stellar-mass compact objects into massive black holes. The long duration and large parameter space of EMRI signals makes data analysis for these signals a challenging problem. One approach to EMRI data analysis is to use time-frequency methods. This consists of two steps: (i) searching for tracks from EMRI sources in a time-frequency spectrogram, and (ii) extracting parameter estimates from the tracks. In this paper we discuss the results of applying these techniques to the latest round of the Mock LISA Data Challenge, Round 1B. This analysis included three new techniques not used in previous analyses: (i) a new Chirp-based Algorithm for Track Search for track detection; (ii) estimation of the inclination of the source to the line of sight; (iii) a Metropolis-Hastings Monte Carlo over the parameter space in order to find the best fit to the tracks.

8 pages, 1 figure; submitted to proceedings of 12th Gravitational Wave Data Analysis Workshop

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• Long gravitational-wave transients and associated detection strategies for a network of terrestrial interferometers
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• An algorithm for detection of extreme mass ratio inspirals in LISA data
• Detecting Gravitational-waves from Extreme Mass Ratio Inspirals using Convolutional Neural Networks
• Non-local parameter degeneracy in the intrinsic space of gravitational-wave signals from extreme-mass-ratio inspirals
• A LISA Data-Analysis Primer
• Identification of Gravitational-waves from Extreme Mass Ratio Inspirals
• LISA stellar-mass black hole searches with semicoherent and particle-swarm methods
• A one-stop function for gravitational-wave detection, identification and inference
• Verifying black hole orbits with gravitational spectroscopy
• A source-free integration method for black hole perturbations and self-force computation: Radial fall
• Astrophysics with the Laser Interferometer Space Antenna