Astrophysics Milestones for Pulsar Timing Array Gravitational-wave Detection

  • Nihan S. Pol
  • , Stephen R. Taylor
  • , Luke Zoltan Kelley
  • , Sarah J. Vigeland
  • , Joseph Simon
  • , Siyuan Chen
  • , Zaven Arzoumanian
  • , Paul T. Baker
  • , Bence Bécsy
  • , Adam Brazier
  • , Paul R. Brook
  • , Sarah Burke-Spolaor
  • , Shami Chatterjee
  • , James M. Cordes
  • , Neil J. Cornish
  • , Fronefield Crawford
  • , H. Thankful Cromartie
  • , Megan E. Decesar
  • , Paul B. Demorest
  • , Timothy Dolch
  • Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Nathan Garver-Daniels, Deborah C. Good, Jeffrey S. Hazboun, Ross J. Jennings, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Joey Shapiro Key, Michael T. Lam, T. Joseph W. Lazio, Jing Luo, Ryan S. Lynch, Dustin R. Madison, Alexander McEwen, Maura A. McLaughlin, Chiara M.F. Mingarelli, Cherry Ng, David J. Nice, Timothy T. Pennucci, Scott M. Ransom, Paul S. Ray, Brent J. Shapiro-Albert, Xavier Siemens, Ingrid H. Stairs, Daniel R. Stinebring, Joseph K. Swiggum, Michele Vallisneri, Haley Wahl, Caitlin A. Witt

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

Abstract

The NANOGrav Collaboration reported strong Bayesian evidence for a common-spectrum stochastic process in its 12.5 yr pulsar timing array data set, with median characteristic strain amplitude at periods of a year of Ayr = 1.92-0.55+0.75 × 10-15. However, evidence for the quadrupolar Hellings & Downs interpulsar correlations, which are characteristic of gravitational-wave signals, was not yet significant. We emulate and extend the NANOGrav data set, injecting a wide range of stochastic gravitational-wave background (GWB) signals that encompass a variety of amplitudes and spectral shapes, and quantify three key milestones. (I) Given the amplitude measured in the 12.5 yr analysis and assuming this signal is a GWB, we expect to accumulate robust evidence of an interpulsar-correlated GWB signal with 15-17 yr of data, i.e., an additional 2-5 yr from the 12.5 yr data set. (II) At the initial detection, we expect a fractional uncertainty of 40% on the power-law strain spectrum slope, which is sufficient to distinguish a GWB of supermassive black hole binary origin from some models predicting more exotic origins. (III) Similarly, the measured GWB amplitude will have an uncertainty of 44% upon initial detection, allowing us to arbitrate between some population models of supermassive black hole binaries. In addition, power-law models are distinguishable from those having low-frequency spectral turnovers once 20 yr of data are reached. Even though our study is based on the NANOGrav data, we also derive relations that allow for a generalization to other pulsar timing array data sets. Most notably, by combining the data of individual arrays into the International Pulsar Timing Array, all of these milestones can be reached significantly earlier.

Original languageEnglish
Article numberL34
JournalAstrophysical Journal Letters
Volume911
Issue number2
DOIs
StatePublished - Apr 1 2021

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