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

2021/03/26 by Nikolaos Karnesis, S. Babak, Stanislav Babak +5 · 125 citations
Physics and Astronomy · #Antenna (radio) #Artificial intelligence #Astrophysics #Binary number #Computer science #Cosmology and Gravitation Theories #Detector #Frequency band #Gamma-ray bursts and supernovae #Gravitational wave #Gravitational wave background #Ground truth #Interferometry #Noise (video) #Observatory #Optics #Physics #Population #Pulsars and Gravitational Waves Research #SIGNAL (programming language) #Space (punctuation) #Telecommunications #astro-ph.GA #astro-ph.IM #gr-qc

paper · pdf · doi:10.1103/physrevd.104.043019

published in Physical review. D/Physical review. D. 104(4) (American Physical Society)

arxiv created 2021/03/26 · openalex created_date 2021/04/13 · openalex publication_date 2021/08/20 · arxiv updated 2021/08/25 · openalex updated_date 2026/08/05

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 millihertz band. In contrast to the present ground-based detectors, the LISA data are expected to be a signal dominated, 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 a 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.

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