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Intensity and anisotropies of the stochastic Gravitational Wave background from merging compact binaries in galaxies

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arxiv 2103.12037 v2 pith:LQQ4XBA3 submitted 2021-03-22 gr-qc astro-ph.CO

Intensity and anisotropies of the stochastic Gravitational Wave background from merging compact binaries in galaxies

classification gr-qc astro-ph.CO
keywords powersgwbanisotropiesdensityangularenergysourcesspectrum
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We investigate the isotropic and anisotropic components of the Stochastic Gravitational Wave Background (SGWB) originated from unresolved merging compact binaries in galaxies. We base our analysis on an empirical approach to galactic astrophysics that allows to follow the evolution of individual systems. We then characterize the energy density of the SGWB as a tracer of the total matter density, in order to compute the angular power spectrum of anisotropies with the Cosmic Linear Anisotropy Solving System (CLASS) public code in full generality. We obtain predictions for the isotropic energy density and for the angular power spectrum of the SGWB anisotropies, and study the prospect for their observations with advanced Laser Interferometer Gravitational-Wave and Virgo Observatories and with the Einstein Telescope. We identify the contributions coming from different type of sources (binary black holes, binary neutron stars and black hole-neutron star) and from different redshifts. We examine in detail the spectral shape of the energy density for all types of sources, comparing the results for the two detectors. We find that the power spectrum of the SGWB anisotropies behaves like a power law on large angular scales and drops at small scales: we explain this behaviour in terms of the redshift distribution of sources that contribute most to the signal, and of the sensitivities of the two detectors. Finally, we simulate a high resolution full sky map of the SGWB starting from the power spectra obtained with CLASS and including Poisson statistics and clustering properties.

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