Identifying and mitigating noise sources in precision pulsar timing data sets

Boris Goncharov, J. Reardon, R. M. Shannon, Xing Jiang Zhu, Eric Thrane, M. Bailes, N. D.R. Bhat, S. Dai, G. Hobbs, M. Kerr, R. N. Manchester, S. Osłowski, A. Parthasarathy, C. J. Russell, R. Spiewak, N. Thyagarajan, J. B. Wang

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)

    Abstract

    Pulsar timing array projects measure the pulse arrival times of millisecond pulsars for the primary purpose of detecting nanohertz-frequency gravitational waves. The measurements include contributions from a number of astrophysical and instrumental processes, which can either be deterministic or stochastic. It is necessary to develop robust statistical and physical models for these noise processes because incorrect models diminish sensitivity and may cause a spurious gravitational wave detection. Here we characterize noise processes for the 26 pulsars in the second data release of the Parkes Pulsar Timing Array using Bayesian inference. In addition to well-studied noise sources found previously in pulsar timing array data sets such as achromatic timing noise and dispersion measure variations, we identify new noise sources including time-correlated chromatic noise that we attribute to variations in pulse scattering. We also identify 'exponential dip' events in four pulsars, which we attribute to magnetospheric effects as evidenced by pulse profile shape changes observed for three of the pulsars. This includes an event in PSR J1713+0747, which had previously been attributed to interstellar propagation. We present noise models to be used in searches for gravitational waves. We outline a robust methodology to evaluate the performance of noise models and identify unknown signals in the data. The detection of variations in pulse profiles highlights the need to develop efficient profile domain timing methods.

    Original languageEnglish
    Pages (from-to)478-493
    Number of pages16
    JournalMonthly Notices of the Royal Astronomical Society
    Volume502
    Issue number1
    DOIs
    Publication statusPublished - 1 Mar 2021

    Fingerprint

    Dive into the research topics of 'Identifying and mitigating noise sources in precision pulsar timing data sets'. Together they form a unique fingerprint.

    Cite this