Observing kinematic anisotropies of the stochastic background with LISA
We propose a diagnostic tool for future analyses of stochastic gravitational wave background signals of extra-galactic origin in LISA data. Next-generation gravitational wave detectors hold the capability to track unresolved gravitational waves bundled into a stochastic background. This composite ba...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
January 10, 2025
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| In: |
Journal of cosmology and astroparticle physics
Year: 2025, Heft: 1, Pages: 1-32 |
| ISSN: | 1475-7516 |
| DOI: | 10.1088/1475-7516/2025/01/044 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1475-7516/2025/01/044 Verlag, kostenfrei, Volltext: https://iopscience.iop.org/article/10.1088/1475-7516/2025/01/044 
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| Verfasserangaben: | Lavinia Heisenberg, Henri Inchauspé, and David Maibach |
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| 520 | |a We propose a diagnostic tool for future analyses of stochastic gravitational wave background signals of extra-galactic origin in LISA data. Next-generation gravitational wave detectors hold the capability to track unresolved gravitational waves bundled into a stochastic background. This composite background contains cosmological and astrophysical contributions, the exploration of which offers promising avenues for groundbreaking new insights into very early universe cosmology as well as late-time structure formation. In this article, we develop a full end-to-end pipeline for the extraction of extra-galactic signals, based on kinematic anisotropies arising from the galactic motion, via full-time-domain simulations of LISA's response to the gravitational wave anisotropic sky. Employing a Markov-Chain-Monte-Carlo map-making scheme, multipoles up to ℓ=2 are recovered for scale-free spectra in the case of a high signal-to-noise ratio. We demonstrate that our analysis is consistently beating sample variance and is robust against statistical and systematic errors. The impact of instrumental noise on the extraction of kinematic anisotropies is investigated, and we establish a detection threshold of Ω GW ≳ 5 × 10-8 in the presence of instrument-induced noise. Potential avenues for improvement in our methodology are highlighted. | ||
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