Skewness in the Hellings-Downs curve
Ryosuke Fujimoto, Keitaro Takahashi
TL;DR
The paper tackles non-Gaussian fluctuations in the Hellings-Downs correlation arising from a finite population of discrete gravitational-wave sources in Pulsar Timing Arrays. It extends the variance framework of Allen (2023) to third order, deriving the skewness for a single source and for the many-source interference regime, and introduces a three-point-average function to define cosmic skewness that survives in the large-N limit. It shows that the total and cosmic skewness track HD-sign and persist due to a geometric three-point coupling, offering a new observable beyond the standard Gaussian HD analysis. The findings motivate incorporating higher-order moments into PTA analyses, potentially via a hierarchical Bayesian model that treats the overlap-reduction function as a non-Gaussian random variable with mean anchored to the HD curve and fluctuations governed by cosmic variance and skewness.
Abstract
Recent Pulsar Timing Array datasets provide compelling evidence for a nano-Hertz gravitational-wave background, but robust detection requires characterizing statistical fluctuations of the Hellings-Downs (HD) correlation expected from a finite population of discrete sources. Building on the variance calculation of Allen (2023), we derive the third central moment (skewness) of the HD correlation for a single unpolarized point source and an ensemble of many interfering point sources in the confusion-noise regime. To isolate the intrinsic non-Gaussianity of the background, we extend the pulsar-averaging formalism to third order by introducing a three-point averaged correlation function, which allows us to define the cosmic skewness. We find that the skewness remains non-zero in the large-source-number limit and is controlled by a new geometric three-point function. These results suggest that incorporating higher-order moments could provide additional information on source discreteness beyond standard Gaussian analyses.
