The NANOGrav 12.5-year Data Set: Search For An Isotropic Stochastic Gravitational-Wave Background
Abstract
We search for an isotropic stochastic gravitational-wave background (GWB) in the -year pulsar timing data set collected by the North American Nanohertz Observatory for Gravitational Waves. Our analysis finds strong evidence of a stochastic process, modeled as a power-law, with common amplitude and spectral slope across pulsars. The Bayesian posterior of the amplitude for an power-law spectrum, expressed as the characteristic GW strain, has median and -- quantiles of -- at a reference frequency of . The Bayes factor in favor of the common-spectrum process versus independent red-noise processes in each pulsar exceeds . However, we find no statistically significant evidence that this process has quadrupolar spatial correlations, which we would consider necessary to claim a GWB detection consistent with general relativity. We find that the process has neither monopolar nor dipolar correlations, which may arise from, for example, reference clock or solar system ephemeris systematics, respectively. The amplitude posterior has significant support above previously reported upper limits; we explain this in terms of the Bayesian priors assumed for intrinsic pulsar red noise. We examine potential implications for the supermassive black hole binary population under the hypothesis that the signal is indeed astrophysical in nature.
Keywords
Cite
@article{arxiv.2009.04496,
title = {The NANOGrav 12.5-year Data Set: Search For An Isotropic Stochastic Gravitational-Wave Background},
author = {Zaven Arzoumanian and Paul T. Baker and Harsha Blumer and Bence Becsy and Adam Brazier and Paul R. Brook and Sarah Burke-Spolaor and Shami Chatterjee and Siyuan Chen and James M. Cordes and Neil J. Cornish and Fronefield Crawford and H. Thankful Cromartie and Megan E. DeCesar and Paul B. Demorest and Timothy Dolch and Justin A. Ellis and Elizabeth C. Ferrara and William Fiore and Emmanuel Fonseca and Nathan Garver-Daniels and Peter A. Gentile and Deborah C. Good and Jeffrey S. Hazboun and A. Miguel Holgado and Kristina Islo and Ross J. Jennings and Megan L. Jones and Andrew R. Kaiser and David L. Kaplan and Luke Zoltan Kelley and Joey Shapiro Key and Nima Laal and Michael T. Lam and T. Joseph W. Lazio and Duncan R. Lorimer and Jing Luo and Ryan S. Lynch and Dustin R. Madison and Maura A. McLaughlin and Chiara M. F. Mingarelli and Cherry Ng and David J. Nice and Timothy T. Pennucci and Nihan S. Pol and Scott M. Ransom and Paul S. Ray and Brent J. Shapiro-Albert and Xavier Siemens and Joseph Simon and Renee Spiewak and Ingrid H. Stairs and Daniel R. Stinebring and Kevin Stovall and Jerry P. Sun and Joseph K. Swiggum and Stephen R. Taylor and Jacob E. Turner and Michele Vallisneri and Sarah J. Vigeland and Caitlin A. Witt},
journal= {arXiv preprint arXiv:2009.04496},
year = {2021}
}
Comments
25 pages, 14 figures, 5 tables, 3 appendices. Published in The Astrophysical Journal Letters. Please send any comments/questions to Joseph Simon ([email protected]). Jupyter notebook tutorials and some MCMC chain files are available at https://github.com/nanograv/12p5yr_stochastic_analysis