Pith. sign in

REVIEW 5 cited by

Characterization of the stochastic signal originating from compact binaries populations as measured by LISA

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2103.14598 v1 pith:FXTU2DJF submitted 2021-03-26 astro-ph.IM astro-ph.GAgr-qc

classification astro-ph.IMastro-ph.GAgr-qc
keywords lisaforegroundsignalsastrophysicalbandbinariescompactdata
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The Laser Interferometer Space Antenna (LISA) mission, scheduled for launch in the early 2030s, is a gravitational wave observatory in space designed to detect sources emitting in the milli-Hertz band. In contrast to the present ground based detectors, the LISA data are expected to be a signaldominated, with strong and weak gravitational wave signals overlapping in time and in frequency. Astrophysical population models predict a sufficient number of signals in the LISA band to blend together and form an irresolvable foreground noise. In this work, we present a generic method for characterizing the foreground signals originating from a given astrophysical population of coalescing compact binaries. Assuming idealized detector conditions and perfect data analysis technique capable of identifying and removing the bright sources, we apply an iterative procedure which allows us to predict the different levels of foreground noise.

Discussion (0). Sign in to comment.

Forward citations

Cited by 5 Pith papers

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

  1. Enhancing Taiji's Parameter Estimation under Non-Stationarity: a Time-Frequency Domain Framework for Galactic Binaries and Instrumental Noises

    gr-qc 2025-06 conditional novelty 7.0 of 10

    A time-frequency (STFT) Bayesian framework improves Taiji Galactic binary and noise parameter estimation under non-stationary noise compared with frequency-domain analysis.

  2. LISA Reconstruction Landscape for Metastable Cosmic Strings

    hep-ph 2026-07 conditional novelty 6.0 of 10

    LISA can reconstruct metastable cosmic-string tension and lifetime when it samples the tail-to-plateau transition, with residual κ_CS sensitivity possible even in high-SNR plateau-like spectra.

  3. Assessing the performance of future space-based detectors: Astrophysical foregrounds and individual sources

    astro-ph.HE 2025-10 conditional novelty 6.0 of 10

    A unified foreground simulation shows the μAres concept is heavily blurred by massive-black-hole-binary noise while the Decihertz Observatory is the cleanest post-LISA design.

  4. Cosmic string gravitational wave backgrounds at LISA: II. Reconstruction of conventional signals over astrophysical foregrounds

    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    When realistic astrophysical foregrounds are included, LISA can reconstruct the cosmic-string tension to 10% precision only for Gμ ≳ 10^{-11}, 10^5 times larger than foreground-free forecasts.

  5. Science of the LISA mission: A Summary for the European Strategy for Particle Physics

    gr-qc 2025-07 unverdicted novelty 1.0 of 10

    Four LISA science objectives are summarized for the European particle physics strategy, covering gravity tests, standard sirens, and TeV-scale stochastic gravitational wave backgrounds.

Pith tools