LISA source confusion: identification and characterization of signals

Abstract

The Laser Interferometer Space Antenna (LISA) is expected to detect gravitational radiation from a large number of compact binary systems. We present a method by which these signals can be identified and have their parameters estimated. Our approach uses Bayesian inference, specifically the application of a Markov chain Monte Carlo method. The simulation study that we present here considers a large number of sinusoidal signals in noise, and our method estimates the number of periodic signals present in the data, the parameters for these signals and the noise level. The method is significantly better than classical spectral techniques at performing these tasks and does not use stopping criteria for estimating the number of signals present.

Proceedings of GWDAW9, submitted to Classical and Quantum Gravity

References in corpus (7)

• The gravitational wave signal from the Galactic disk population of binaries containing two compact objects
• Confusion Noise from LISA Capture Sources
• LISA data analysis: Source identification and subtraction
• Bayesian modeling of source confusion in LISA data
• A Metropolis-Hastings algorithm for extracting periodic gravitational wave signals from laser interferometric detector data
• LISA Source Confusion
• A Simulation of the LISA Data Stream from Galactic White Dwarf Binaries

Cited by in corpus (18)

• Lasso-type recovery of sparse representations for high-dimensional data
• Stochastic Gravitational Wave Backgrounds
• Global Analysis of the Gravitational Wave Signal from Galactic Binaries
• A Solution to the Galactic Foreground Problem for LISA
• Parameter estimation with gravitational waves
• A detection pipeline for galactic binaries in LISA data
• A Bayesian approach to the follow-up of candidate gravitational wave signals
• Global analysis for the LISA gravitational wave observatory
• Consequences of Disk Scale Height on LISA Confusion Noise from Close White Dwarf Binaries
• A Markov Chain Monte Carlo approach to the study of massive black hole binary systems with LISA
• On networks of space-based gravitational-wave detectors
• Binary White Dwarfs as Laboratories for Extreme Gravity with LISA
• Systematic biases due to waveform mismodeling in parametrized post-Einsteinian tests of general relativity: The impact of neglecting spin precession and higher modes
• A principal component analysis for LISA -- the TDI connection
• Computational Techniques for Parameter Estimation of Gravitational Wave Signals
• Gravitational Wave Astronomy: Needle in a Haystack
• PETRA: From the LISA global fit to a catalog of Galactic binaries
• Extracting overlapping gravitational-wave signals of galactic compact binaries: a mini review