4.6 Article

Astrophysics Milestones for Pulsar Timing Array Gravitational-wave Detection

期刊

ASTROPHYSICAL JOURNAL LETTERS
卷 911, 期 2, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.3847/2041-8213/abf2c9

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资金

  1. National Science Foundation (NSF) Physics Frontiers Center [1430284]
  2. National Science Foundation EPSCoR Research Infrastructure Improvement Cooperative [1003907]
  3. state of West Virginia (WVEPSCoR via the Higher Education Policy Commission)
  4. WVU
  5. Simons Foundation
  6. NSERC Discovery Grant
  7. Canadian Institute for Advanced Research
  8. JPL RTD program
  9. NSF [1458952, 1815664, 2007993]
  10. Vanderbilt University's College of Arts Science
  11. MTA-ELTE Extragalactic Astrophysics Research Group - Hungarian Academy of Sciences (Magyar Tudomanyos Akademia)
  12. NSF AAG [2009468]
  13. NASA through the NASA Hubble Fellowship Program - Space Telescope Science Institute [HST-HF2-51453.001]
  14. NASA [NAS5-26555, 80GSFC17M0002]
  15. Direct For Mathematical & Physical Scien
  16. Division Of Astronomical Sciences [2007993] Funding Source: National Science Foundation
  17. Direct For Mathematical & Physical Scien
  18. Division Of Astronomical Sciences [1815664, 2009468] Funding Source: National Science Foundation

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The NANOGrav Collaboration has found strong Bayesian evidence for a common-spectrum stochastic process in their 12.5 yr pulsar timing array data set, with median characteristic strain amplitude at periods of a year. Even though evidence for the quadrupolar Hellings & Downs interpulsar correlations, which are characteristic of gravitational-wave signals, was not yet significant. By injecting a wide range of stochastic gravitational-wave background (GWB) signals into the data set, three key milestones were quantified, including the expectation of robust evidence for an interpulsar-correlated GWB signal after 15-17 yr of data accumulation.
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. 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.

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