Comparing the Spatial Correlation of Binary Black Hole Mergers to Large-Scale Structure through the Illustris Simulation
Shaniya Jarrett, Kelly Holley-Bockelmann, and Robert J. Scherrer

TL;DR
This study compares the spatial clustering of massive binary black hole mergers to galaxy distributions using the IllustrisTNG simulation, highlighting their potential for cosmological insights with LISA.
Contribution
It demonstrates that MBBH mergers are more strongly clustered than galaxies at small scales, providing a new way to probe large-scale structure with gravitational wave data.
Findings
MBBH mergers show stronger clustering than galaxies at <10 Mpc/h.
The bias of MBBH mergers remains relatively constant across scales.
Results suggest MBBH distributions can inform galaxy distribution and aid in foreground subtraction.
Abstract
Gravitational waves (GWs) have provided a new lens through which to view the universe beyond traditional electromagnetic methods. The upcoming space-based gravitational wave mission, Laser Interferometer Space Antenna (LISA), will give us the first glimpse of the sky in mHz gravitational waves, a waveband that contains a rich variety of sources including massive binary black hole (MBBH) mergers. In this work, we investigate the spatial distribution of MBBH mergers versus the galaxy distribution to determine how well LISA could be used as a unique and independent probe of large-scale structure. We compare the two-point correlation function (2pt CF) of MBBH mergers to that of galaxies within the cosmological hydrodynamic simulation IllustrisTNG. Our results show that MBBH mergers exhibit stronger clustering than galaxies at scales less than 10 Mpc , particularly at higher…
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Taxonomy
TopicsComputational Physics and Python Applications · Black Holes and Theoretical Physics · Relativity and Gravitational Theory
