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The NANOGrav 15 yr Data Set: Search for Anisotropy in the Gravitational-wave Background
Journal article   Peer reviewed

The NANOGrav 15 yr Data Set: Search for Anisotropy in the Gravitational-wave Background

Gabriella Agazie, Akash Anumarlapudi, Anne Archibald, Zaven Arzoumanian, Paul Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul Brook, Sarah Burke-Spolaor, …
Astrophysical journal. Letters, Vol.956(1), p.L3
01/10/2023
DOI: https://doi.org/10.3847/2041-8213/acf4fd

Abstract

Anisotropy Black holes Data search Datasets Dipoles Electric power distribution Gravitational waves Multipoles Population (statistical) Pulsars Spherical harmonics
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) has reported evidence for the presence of an isotropic nanohertz gravitational-wave background (GWB) in its 15 yr data set. However, if the GWB is produced by a population of inspiraling supermassive black hole binary (SMBHB) systems, then the background is predicted to be anisotropic, depending on the distribution of these systems in the local Universe and the statistical properties of the SMBHB population. In this work, we search for anisotropy in the GWB using multiple methods and bases to describe the distribution of the GWB power on the sky. We do not find significant evidence of anisotropy. By modeling the angular power distribution as a sum over spherical harmonics (where the coefficients are not bound to always generate positive power everywhere), we find that the Bayesian 95% upper limit on the level of dipole anisotropy is (Cl=1/Cl=0) < 27%. This is similar to the upper limit derived under the constraint of positive power everywhere, indicating that the dipole may be close to the data-informed regime. By contrast, the constraints on anisotropy at higher spherical-harmonic multipoles are strongly prior dominated. We also derive conservative estimates on the anisotropy expected from a random distribution of SMBHB systems using astrophysical simulations conditioned on the isotropic GWB inferred in the 15 yr data set and show that this data set has sufficient sensitivity to probe a large fraction of the predicted level of anisotropy. We end by highlighting the opportunities and challenges in searching for anisotropy in pulsar timing array data.

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