The authors derive a marginalized Gaussian-process likelihood for wideband pulsar timing that models dispersion measure noise with arbitrary variability models, generalizing the existing piecewise-constant approach.
Bayesian pulsar timing and noise analysis with Vela.jl: the wideband paradigm
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
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.
fields
astro-ph.IM 1years
2025 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Gaussian process representation of dispersion measure noise in pulsar wideband datasets
The authors derive a marginalized Gaussian-process likelihood for wideband pulsar timing that models dispersion measure noise with arbitrary variability models, generalizing the existing piecewise-constant approach.