Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview
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-t...
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| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/adaaec |
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| author | Abhimanyu Susobhanan |
| author_facet | Abhimanyu Susobhanan |
| author_sort | Abhimanyu Susobhanan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3ddfb9b09e7d4efea83fc229e6f7c885 |
| institution | Kabale University |
| issn | 1538-4357 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj-art-3ddfb9b09e7d4efea83fc229e6f7c8852025-02-12T07:37:24ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-01980216510.3847/1538-4357/adaaecBayesian Pulsar Timing and Noise Analysis with Vela.jl: An OverviewAbhimanyu Susobhanan0https://orcid.org/0000-0002-2820-0931Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Leibniz Universität Hannover , Callinstraße 38, 30167 Hannover, Germany ; abhimanyu.susobhanan@aei.mpg.deWe 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.https://doi.org/10.3847/1538-4357/adaaecPulsarsAstronomy softwareAstronomy data analysis |
| spellingShingle | Abhimanyu Susobhanan Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview The Astrophysical Journal Pulsars Astronomy software Astronomy data analysis |
| title | Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview |
| title_full | Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview |
| title_fullStr | Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview |
| title_full_unstemmed | Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview |
| title_short | Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview |
| title_sort | bayesian pulsar timing and noise analysis with vela jl an overview |
| topic | Pulsars Astronomy software Astronomy data analysis |
| url | https://doi.org/10.3847/1538-4357/adaaec |
| work_keys_str_mv | AT abhimanyususobhanan bayesianpulsartimingandnoiseanalysiswithvelajlanoverview |