A test for LISA foreground Gaussianity and stationarity. II. Extreme mass-ratio inspirals
Extreme Mass Ratio Inspirals (EMRIs) are key observational targets for the Laser Interferometer Space Antenna (LISA) mission. Unresolvable EMRI signals contribute to forming a gravitational wave background (GWB). Characterizing the statistical features of the GWB from EMRIs is of great importance, a...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Extreme Mass Ratio Inspirals (EMRIs) are key observational targets for the
Laser Interferometer Space Antenna (LISA) mission. Unresolvable EMRI signals
contribute to forming a gravitational wave background (GWB). Characterizing the
statistical features of the GWB from EMRIs is of great importance, as EMRIs
will ubiquitously affect large segments of the inference scheme. In this work,
we apply a frequentist test for GWB Gaussianity and stationarity, exploring
three astrophysically-motivated EMRI populations. We construct the resulting
signal by combining state-of-the-art EMRI waveforms and a detailed description
of the LISA response with time-delay interferometric variables. Depending on
the brightness of the GWB, our analysis demonstrates that the resultant EMRI
foregrounds show varying degrees of departure from the usual statistical
assumptions that the GWBs are both Gaussian and Stationary. If the GWB is
non-stationary with non-Gaussian features, this will challenge the robustness
of Gaussian-likelihood model, when applied to global inference results, e.g.
foreground estimation, background detection, and individual-source parameters
reconstruction. |
---|---|
DOI: | 10.48550/arxiv.2410.08862 |