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Published April 20, 2020 | Published + Submitted
Journal Article Open

Modeling the Uncertainties of Solar System Ephemerides for Robust Gravitational-wave Searches with Pulsar-timing Arrays

Abstract

The regularity of pulsar emissions becomes apparent once we reference the pulses' times of arrivals to the inertial rest frame of the solar system. It follows that errors in the determination of Earth's position with respect to the solar system barycenter can appear as a time-correlated bias in pulsar-timing residual time series, affecting the searches for low-frequency gravitational waves performed with pulsar-timing arrays. Indeed, recent array data sets yield different gravitational-wave background upper limits and detection statistics when analyzed with different solar system ephemerides. Crucially, the ephemerides do not generally provide usable error representations. In this article, we describe the motivation, construction, and application of a physical model of solar system ephemeris uncertainties, which focuses on the degrees of freedom (Jupiter's orbital elements) most relevant to gravitational-wave searches with pulsar-timing arrays. This model, BayesEphem, was used to derive ephemeris-robust results in NANOGrav's 11 yr stochastic-background search, and it provides a foundation for future searches by NANOGrav and other consortia. The analysis and simulations reported here suggest that ephemeris modeling reduces the gravitational-wave sensitivity of the 11 yr data set and that this degeneracy will vanish with improved ephemerides and with pulsar-timing data sets that extend well beyond a single Jovian orbital period.

Additional Information

© 2020 The American Astronomical Society. Received 2020 January 22; revised 2020 February 21; accepted 2020 February 24; published 2020 April 21. We are grateful to Agnès Fienga, Joseph Romano, Alvin Chua, and Maria Charisi for useful comments and interactions. The NANOGrav project receives support from National Science Foundation (NSF) Physics Frontier Center award #1430284. NANOGrav research at U.B.C. is supported by an NSERC Discovery Grant and Discovery Accelerator Supplement and by the Canadian Institute for Advanced Research. M.V. and J.S. acknowledge support from the JPL RTD program. S.R.T. was partially supported by an appointment to the NASA Postdoctoral Program at JPL, administered by Oak Ridge Associated Universities through a contract with NASA. J.A.E. was partially supported by NASA through Einstein Fellowship grants PF4-150120. Portions of this work performed at NRL are supported by the Chief of Naval Research. The Flatiron Institute is supported by the Simons Foundation. Portions of this research were carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. This work was supported in part by National Science Foundation grant PHYS-1066293 and by the hospitality of the Aspen Center for Physics. We are grateful for computational resources provided by the Leonard E. Parker Center for Gravitation, Cosmology and Astrophysics at the University of Wisconsin-Milwaukee, which is supported by NSF grants 0923409 and 1626190. Data for this project were collected using the facilities of the Green Bank Observatory and the Arecibo Observatory. The National Radio Astronomy Observatory and Green Bank Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. The Arecibo Observatory is a facility of the National Science Foundation operated under cooperative agreement by the University of Central Florida in alliance with Yang Enterprises, Inc. and Universidad Metropolitana. Author contributions: this document is the result of more than a decade of work by the entire NANOGrav collaboration. We acknowledge specific contributions below. Z.A., K.C., P.B.D., M.E.D., T.D., J.A.E., R.D.F., E.C.F., E.F., P.A.G., G.J., M.L.J., M.T.L., L.L., D.R.L., R.S.L., M.A.M., C.N., D.J.N., T.T.P., S.M.R., P.S.R., R.S., I.H.S., K.S., J.K.S., and W.W.Z. developed the 11 yr data set. M.V. led this analysis and coordinated writing. M.V., S.R.T., and J.S. developed BayesEphem, managed Bayesian-inference runs, and performed data analysis, with help from C.C., J.A.E., T.J.W.L., and S.J.V. M.V., S.R.T., and J.S. wrote this article, with edits by D.J.N., M.T.L., T.J.W.L., D.L.K., J.S.H., and S.J.V. Ephemeris data and expertise were provided by W.M.F. and R.S.P.

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Published - Vallisneri_2020_ApJ_893_112.pdf

Submitted - 2001.00595.pdf

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August 22, 2023
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