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    The NANOGrav nine-year data set: Excess noise in millisecond pulsar arrival times

    Access Status
    Fulltext not available
    Authors
    Lam, M.
    Cordes, J.
    Chatterjee, S.
    Arzoumanian, Z.
    Crowter, K.
    Demorest, P.
    Dolch, T.
    Ellis, J.
    Ferdman, R.
    Fonseca, E.
    Gonzalez, M.
    Jones, G.
    Jones, M.
    Levin, L.
    Madison, D.
    McLaughlin, M.
    Nice, D.
    Pennucci, T.
    Ransom, S.
    Shannon, Ryan
    Siemens, X.
    Stairs, I.
    Stovall, K.
    Swiggum, J.
    Zhu, W.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Lam, M. and Cordes, J. and Chatterjee, S. and Arzoumanian, Z. and Crowter, K. and Demorest, P. and Dolch, T. et al. 2017. The NANOGrav nine-year data set: Excess noise in millisecond pulsar arrival times. Astrophysical Journal. 834: 35.
    Source Title
    Astrophysical Journal
    DOI
    10.3847/1538-4357/834/1/35
    ISSN
    0004-637X
    School
    Curtin Institute of Radio Astronomy (Physics)
    URI
    http://hdl.handle.net/20.500.11937/50896
    Collection
    • Curtin Research Publications
    Abstract

    Gravitational wave (GW) astronomy using a pulsar timing array requires high-quality millisecond pulsars (MSPs), correctable interstellar propagation delays, and high-precision measurements of pulse times of arrival. Here we identify noise in timing residuals that exceeds that predicted for arrival time estimation for MSPs observed by the North American Nanohertz Observatory for Gravitational Waves. We characterize the excess noise using variance and structure function analyses. We find that 26 out of 37 pulsars show inconsistencies with a white-noise-only model based on the short timescale analysis of each pulsar, and we demonstrate that the excess noise has a red power spectrum for 15 pulsars. We also decompose the excess noise into chromatic (radio-frequency-dependent) and achromatic components. Associating the achromatic red-noise component with spin noise and including additional power-spectrum-based estimates from the literature, we estimate a scaling law in terms of spin parameters (frequency and frequency derivative) and data-span length and compare it to the scaling law of Shannon & Cordes. We briefly discuss our results in terms of detection of GWs at nanohertz frequencies. © 2016. The American Astronomical Society. All rights reserved.

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