The Parkes Pulsar Timing Array Project
R. N. Manchester (1), G. Hobbs (1), M. Bailes (2), W. A. Coles (3), W., van Straten (2), M. J. Keith (1), R. M. Shannon (1), N. D. R. Bhat (2, 4),, A. Brown (1), S. G. Burke-Spolaor (5, 1), D. J. Champion (6, 1), A., Chaudhary (1), R. T. Edwards (7), G. Hampson (1)

TL;DR
The paper details the implementation, data analysis, and initial results of the Parkes Pulsar Timing Array project, aiming to detect gravitational waves and other global phenomena through precise pulsar timing observations.
Contribution
It introduces the PPTA system, observing strategy, and data processing methods, providing the first comprehensive results and implications for future PTA projects.
Findings
RMS timing residuals less than 1 microsecond for 10 pulsars
Detection of significant red timing noise in about half the pulsars
Data set combining PPTA and earlier observations for extended analysis
Abstract
A "pulsar timing array" (PTA), in which observations of a large sample of pulsars spread across the celestial sphere are combined, allows investigation of "global" phenomena such as a background of gravitational waves or instabilities in atomic timescales that produce correlated timing residuals in the pulsars of the array. The Parkes Pulsar Timing Array (PPTA) is an implementation of the PTA concept based on observations with the Parkes 64-m radio telescope. A sample of 20 millisecond pulsars is being observed at three radio-frequency bands, 50cm (~700 MHz), 20cm (~1400 MHz) and 10cm (~3100 MHz), with observations at intervals of 2 - 3 weeks. Regular observations commenced in early 2005. This paper describes the systems used for the PPTA observations and data processing, including calibration and timing analysis. The strategy behind the choice of pulsars, observing parameters and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
