Cyclostationary signals in LISA: a practical application to Milky Way satellites
Federico Pozzoli, Riccardo Buscicchio, Antoine Klein, Valeriya Korol, Alberto Sesana, Francesco Haardt

TL;DR
This paper introduces a frequency-based method leveraging cyclostationary properties to detect and analyze gravitational wave backgrounds from Milky Way satellites with LISA, accounting for anisotropy and motion effects.
Contribution
The authors develop a novel frequency-based approach exploiting cyclostationarity to study LISA's detection capabilities for satellite gravitational wave backgrounds, including sky distribution and spectrum reconstruction.
Findings
Successfully recover or constrain satellite foregrounds in mock data.
Highlight the importance of astrophysical priors for detectability.
Show that a Large Magellanic Cloud-like satellite could be observable.
Abstract
One of the primary sources of gravitational waves (GWs) anticipated to be detected by the Laser Interferometer Space Antenna (LISA) are Galactic double white dwarf binaries (DWDs). However, most of these binaries will be unresolved, and their GWs will overlap incoherently, creating a stochastic noise known as the Galactic foreground. Similarly, the population of unresolved systems in the Milky Way's (MW) satellites is expected to contribute to a stochastic gravitational wave background (SGWB). Due to their anisotropy and the annual motion of the LISA constellation, both the Galactic foreground and the satellite SGWB fall into the category of cyclostationary processes. Leveraging this property, we develop a purely frequency-based method to study LISA's capability to detect the MW foreground and SGWBs from the most promising MW satellites. We analyze both mock data generated by an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadio Astronomy Observations and Technology · Astronomy and Astrophysical Research
