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Bayesian pulsar timing and noise analysis with Vela.jl: an overview

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arxiv 2412.15858 v4 pith:JRU225WS submitted 2024-12-20 astro-ph.IM astro-ph.HE

Bayesian pulsar timing and noise analysis with Vela.jl: an overview

classification astro-ph.IM astro-ph.HE
keywords pulsartimingvelanoiseanalysisbayesiandesignefficient
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We present Vela, an efficient, modular, easy-to-use Bayesian pulsar timing and noise analysis package written in Julia. Vela provides an independent, efficient, and parallelized implementation of the full non-linear pulsar timing and noise model along with a Python binding named pyvela. One-time operations such as data file input, clock corrections, and solar system ephemeris computations are performed by pyvela with the help of the PINT pulsar timing package. Its reliability is ensured via careful design utilizing Julia's type system, strict version control, and an exhaustive test suite. This paper describes the design and usage of Vela focusing on the narrowband paradigm.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 unverdicted novelty 6.0

    PSRDISP characterises deterministic and stochastic dispersive processes via Gaussian processes on epoch-wise DM estimates, recovering injected signals on simulated narrowband and wideband pulsar timing data.

  2. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 conditional novelty 6.0

    PSRDISP is a Gaussian-process framework that fits dispersion-measure and solar-wind noise directly to epoch-wise dispersion measures, recovering injected signals in simulated pulsar data.

  3. PSRDISP: A novel approach to modeling dispersive processes in single-pulsar noise analysis using epoch-wise dispersion measures

    astro-ph.IM 2026-07 conditional novelty 5.0

    A Fourier-domain Gaussian process fit to epoch-wise pulsar dispersion measures recovers injected DM and solar-wind noise in simulated narrowband and wideband timing data.

  4. Constraints on Einstein-aether gravity from the precision timing of PSR J1738+0333

    gr-qc 2026-05 unverdicted novelty 4.0

    Precision timing of PSR J1738+0333 from EPTA and NANOGrav data yields the tightest strong-field constraints on Einstein-aether parameters from any single binary pulsar.