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Exploring the anisotropic gravitational wave background from all-sky mock gravitational wave event catalogues

High Energy Astrophysical Phenomena 2025-07-01 v3 General Relativity and Quantum Cosmology

Abstract

Anisotropic stochastic gravitational wave background (SGWB) serves as a potential probe of the large-scale structure (LSS) of the universe. In this work, we explore the anisotropic SGWB from local (z<0.085z < \sim 0.085) merging stellar mass compact binaries, specifically focusing on merging stellar binary black holes, merging neutron-star-black-hole binaries, and merging binary neutron stars. The analysis employs seven all-sky mock lightcone gravitational wave event catalogues, which are derived from the Millennium simulation combined with a semi-analytic model of galaxy formation and a binary population synthesis model. We calculate the angular power spectra C\mathrm{C}_\ell at multipole moments \ell, expressed as log10[(+1)C/(2π)]\text{log}_{10} [\ell(\ell+1)\mathrm{C}_\ell/(2\pi)], based on the skymaps of the overdensity δGW\delta_\mathrm{GW} in the anisotropic SGWB. The spectra for all three source types exhibit an approximately linear increase with log10\text{log}_{10} \ell at higher \ell (e.g., >30300\ell > \sim 30 - 300) in seven catalogues, with a characteristic slope of 2\sim 2. The spectra of seven catalogues exhibit considerable variations, arising from fluctuations in spatial distribution, primarily in the radial distribution, of nearby sources (e.g., <50< 50 Mpc/h). After subtracting these nearby sources, the variations become much smaller and the spectra for the three source types become closely aligned (within discrepancies of a factor of 2\sim 2 across =11000\ell = 1 - 1000 for all catalogues). We also find that including further sources results in a rapid decrease in the anisotropy.

Keywords

Cite

@article{arxiv.2412.09956,
  title  = {Exploring the anisotropic gravitational wave background from all-sky mock gravitational wave event catalogues},
  author = {Zhencheng Li and Zhen Jiang and Yun Liu and Xi-Long Fan and Liang Gao and Yun Chen and Tengpeng Xu},
  journal= {arXiv preprint arXiv:2412.09956},
  year   = {2025}
}

Comments

13 pages 5 figures