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Characterizing the Galactic Gravitational Wave Background with LISA

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arxiv gr-qc/0504071 v4 pith:KL7ZINXP submitted 2005-04-15 gr-qc astro-ph

Seth E. Timpano , Louis J. Rubbo , Neil J. Cornish This is my paper · ORCID
classification gr-qcastro-ph
keywords backgroundsourcesestimategalacticgravitationallisawaveantenna
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We present a Monte Carlo simulation for the response of the Laser Interferometer Space Antenna (LISA) to the galactic gravitational wave background. The simulated data streams are used to estimate the number and type of binary systems that will be individually resolved in a 1-year power spectrum. We find that the background is highly non-Gaussian due to the presence of individual bright sources, but once these sources are identified and removed, the remaining signal is Gaussian. We also present a new estimate of the confusion noise caused by unresolved sources that improves on earlier estimates.

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Cited by 2 Pith papers

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

  1. Modular global-fit pipeline for LISA data analysis

    gr-qc 2025-01 conditional novelty 5.0 of 10

    A modular, scalable pipeline recovers 15 massive black hole mergers and 9542 galactic binaries from the LISA 'Sangria' simulation, with 85% of binaries with SNR above 8 correctly identified.

  2. Full-Covariance Bayesian Inference of Stochastic Gravitational Wave Background with Time-Domain Simulations for Taiji-like Missions

    astro-ph.IM 2026-08 conditional novelty 4.0 of 10

    A full-covariance Bayesian pipeline that combines time-domain TDI simulations with a frequency-domain likelihood recovers injected stochastic gravitational-wave backgrounds for a Taiji-like mission, though its detecto...

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