The International Pulsar Timing Array: First Data Release
Abstract
The highly stable spin of neutron stars can be exploited for a variety of (astro-)physical investigations. In particular arrays of pulsars with rotational periods of the order of milliseconds can be used to detect correlated signals such as those caused by gravitational waves. Three such "Pulsar Timing Arrays" (PTAs) have been set up around the world over the past decades and collectively form the "International" PTA (IPTA). In this paper, we describe the first joint analysis of the data from the three regional PTAs, i.e. of the first IPTA data set. We describe the available PTA data, the approach presently followed for its combination and suggest improvements for future PTA research. Particular attention is paid to subtle details (such as underestimation of measurement uncertainty and long-period noise) that have often been ignored but which become important in this unprecedentedly large and inhomogeneous data set. We identify and describe in detail several factors that complicate IPTA research and provide recommendations for future pulsar timing efforts. The first IPTA data release presented here (and available online) is used to demonstrate the IPTA's potential of improving upon gravitational-wave limits placed by individual PTAs by a factor of ~2 and provides a 2-sigma limit on the dimensionless amplitude of a stochastic GWB of 1.7x10^{-15} at a frequency of 1 yr^{-1}. This is 1.7 times less constraining than the limit placed by (Shannon et al. 2015), due mostly to the more recent, high-quality data they used.
Keywords
Cite
@article{arxiv.1602.03640,
title = {The International Pulsar Timing Array: First Data Release},
author = {J. P. W. Verbiest and L. Lentati and G. Hobbs and R. van Haasteren and P. B. Demorest and G. H. Janssen and J. -B. Wang and G. Desvignes and R. N. Caballero and M. J. Keith and D. J. Champion and Z. Arzoumanian and S. Babak and C. G. Bassa and N. D. R. Bhat and A. Brazier and P. Brem and M. Burgay and S. Burke-Spolaor and S. J. Chamberlin and S. Chatterjee and B. Christy and I. Cognard and J. M. Cordes and S. Dai and T. Dolch and J. A. Ellis and R. D. Ferdman and E. Fonseca and J. R. Gair and N. E. Garver-Daniels and P. Gentile and M. E. Gonzalez and E. Graikou and L. Guillemot and J. W. T. Hessels and G. Jones and R. Karuppusamy and M. Kerr and M. Kramer and M. T. Lam and P. D. Lasky and A. Lassus and P. Lazarus and T. J. W. Lazio and K. J. Lee and L. Levin and K. Liu and R. S. Lynch and A. G. Lyne and J. Mckee and M. A. McLaughlin and S. T. McWilliams and D. R. Madison and R. N. Manchester and C. M. F. Mingarelli and D. J. Nice and S. Oslowski and N. T. Palliyaguru and T. T. Pennucci and B. B. P. Perera and D. Perrodin and A. Possenti and A. Petiteau and S. M. Ransom and D. Reardon and P. A. Rosado and S. A. Sanidas and A. Sesana and G. Shaifullah and R. M. Shannon and X. Siemens and J. Simon and R. Smits and R. Spiewak and I. H. Stairs and B. W. Stappers and D. R. Stinebring and K. Stovall and J. K. Swiggum and S. R. Taylor and G. Theureau and C. Tiburzi and L. Toomey and M. Vallisneri and W. van Straten and A. Vecchio and Y. Wang and L. Wen and X. P. You and W. W. Zhu and X. -J. Zhu},
journal= {arXiv preprint arXiv:1602.03640},
year = {2016}
}
Comments
25 pages, 6 tables, 5 figures. Accepted for publication in MNRAS