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

Lam, M. T., Cordes, J. M., Chatterjee, S., Arzoumanian, Z., Crowter, K., Demorest, P. B., Dolch, T., Ellis, J. A., Ferdman, R. D. ORCID: https://orcid.org/0000-0002-2223-1235, Fonseca, E., Gonzalez, M. E., Jones, G., Jones, M. L., Levin, L., Madison, D. R., McLaughlin, M. A., Nice, D. J., Pennucci, T. T., Ransom, S. M., Shannon, R. M., Siemens, X., Stairs, I. H., Stovall, K., Swiggum, J. K. and Zhu, W. W. (2017) The NANOGrav nine-year data set: Excess noise in millisecond pulsar arrival times. Astrophysical Journal, 834 (1). ISSN 0004-637X

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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.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Physics (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Quantum Matter Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science
Depositing User:	LivePure Connector
Date Deposited:	11 Jul 2018 16:30
Last Modified:	07 Nov 2024 12:40
URI:	https://ueaeprints.uea.ac.uk/id/eprint/67585
DOI:	10.3847/1538-4357/834/1/35

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