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    Insights into the pulsar timing array hypothesis space

    El Mehdi Zahraoui1, Patricio Maturana-Russel1,2, Willem van Straten3, Renate Meyer2, and Sergei Gulyaev1

    • 1Department of Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
    • 2Department of Statistics, University of Auckland, 38 Princes Street, Auckland, New Zealand
    • 3Manly Astrophysics, 15/41-42 East Esplanade, Manly, New South Wales 2095, Australia

    Phys. Rev. D 114, 063053 – Published 28 September, 2026

    DOI: https://doi.org/10.1103/lk8b-wq5d

    Abstract

    We present novel insights into the pulsar-noise model space in pulsar timing array (PTA) experiments. Through a comparative analysis of the same Parkes PTA second data release observations processed with the 2020 and 2023 pipelines, we show that data processing materially changes the distribution of posterior support across competing noise hypotheses and increases sensitivity to weak contributions such as the solar wind. A solar-wind component appears in the highest-posterior hypothesis for ten pulsars under the 2023 pipeline, against four under the 2020 pipeline, while the corresponding mean electron density estimates are consistent with Parkes PTA DR3 results. Furthermore, hypothesis-space analysis exposes model competition and degeneracies that are hidden by single-model summaries. Approximately 75% of the pulsars retain substantial posterior support for alternative noise descriptions. Therefore, understanding the nature of the pulsar-noise hypothesis space is crucial for robust inference and nanohertz gravitational-wave background searches.

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