Bayesian pulsar timing and noise analysis with Vela.jl: the wideband paradigm
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918126258487296 |
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| author | Susobhanan, Abhimanyu |
| author_facet | Susobhanan, Abhimanyu |
| contents | Vela is a package for performing Bayesian pulsar timing & noise analysis written in Julia and Python. In the wideband paradigm of pulsar timing, simultaneous time of arrival and dispersion measure measurements are derived from a radio observation using frequency-resolved integrated pulse profiles and templates without splitting the observation into multiple frequency sub-bands. We describe the implementation of the wideband timing paradigm in Vela, and demonstrate its usage using the NANOGrav 12.5-year wideband data of PSR J1923+2515. Vela is the first software package to provide this functionality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10141 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bayesian pulsar timing and noise analysis with Vela.jl: the wideband paradigm Susobhanan, Abhimanyu Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena Vela is a package for performing Bayesian pulsar timing & noise analysis written in Julia and Python. In the wideband paradigm of pulsar timing, simultaneous time of arrival and dispersion measure measurements are derived from a radio observation using frequency-resolved integrated pulse profiles and templates without splitting the observation into multiple frequency sub-bands. We describe the implementation of the wideband timing paradigm in Vela, and demonstrate its usage using the NANOGrav 12.5-year wideband data of PSR J1923+2515. Vela is the first software package to provide this functionality. |
| title | Bayesian pulsar timing and noise analysis with Vela.jl: the wideband paradigm |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2505.10141 |