English

The impact of a stochastic gravitational-wave background on pulsar timing parameters

Solar and Stellar Astrophysics 2015-05-28 v1 General Relativity and Quantum Cosmology

Abstract

Gravitational waves are predicted by Einstein's theory of general relativity as well as other theories of gravity. The rotational stability of the fastest pulsars means that timing of an array of these objects can be used to detect and investigate gravitational waves. Simultaneously, however, pulsar timing is used to estimate spin period, period derivative, astrometric, and binary parameters. Here we calculate the effects that a stochastic background of gravitational waves has on pulsar timing parameters through the use of simulations and data from the millisecond pulsars PSR J0437--4715 and PSR J1713+0747. We show that the reported timing uncertainties become underestimated with increasing background amplitude by up to a factor of 10\sim10 for a stochastic gravitational-wave background amplitude of A=5×1015A=5\times 10^{-15}, where AA is the amplitude of the characteristic strain spectrum at one-year gravitational wave periods. We find evidence for prominent low-frequency spectral leakage in simulated data sets including a stochastic gravitational-wave background. We use these simulations along with independent Very Long Baseline Interferometry (VLBI) measurements of parallax to set a 2--sigma upper limit of A9.1×1014A\le9.1\times 10^{-14}. We find that different supermassive black hole assembly scenarios do not have a significant effect on the calculated upper limits. We also test the effects that ultralow--frequency (1012^{-12}--109^{-9} Hz) gravitational waves have on binary pulsar parameter measurements and find that the corruption of these parameters is less than those due to 10910^{-9}--10710^{-7} Hz gravitational waves.

Keywords

Cite

@article{arxiv.1107.4014,
  title  = {The impact of a stochastic gravitational-wave background on pulsar timing parameters},
  author = {J. Ellis and M. A. McLaughlin and J. P. W. Verbiest},
  journal= {arXiv preprint arXiv:1107.4014},
  year   = {2015}
}

Comments

16 pages, 7 figures, accepted to MNRAS