Bayesian Pulsar Timing and Noise Analysis with <tt>Vela.jl</tt>: An Overview

Abstract We present Vela.jl , an efficient, modular, easy-to-use Bayesian pulsar timing and noise analysis package written in Julia. Vela.jl provides an independent, efficient, and parallelized implementation of the full nonlinear 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.jl focusing on the narrowband paradigm.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-02-12
DOI
https://doi.org/10.3847/1538-4357/adaaec
Citations
3
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
3.46
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article

Bayesian Pulsar Timing and Noise Analysis with <tt>Vela.jl</tt>: An Overview

Abhimanyu Susobhanan
3 citations
The Astrophysical Journal
Pulsars and Gravitational Waves Research
3.46
article

Bayesian Pulsar Timing and Noise Analysis with <tt>Vela.jl</tt>: An Overview

Abhimanyu Susobhanan
article en
3 citations

Abstract

Abstract We present Vela.jl , an efficient, modular, easy-to-use Bayesian pulsar timing and noise analysis package written in Julia. Vela.jl provides an independent, efficient, and parallelized implementation of the full nonlinear 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.jl focusing on the narrowband paradigm.

The Astrophysical JournalVol. 980(2)
Openalex Percentile: Top 9%
Pulsars and Gravitational Waves Research
3.46
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