Timing Gamma-ray Pulsars using Gibbs Sampling
Colin J. Clark, Serena Valtolina, Lars Nieder, Rutger van Haasteren

TL;DR
The paper introduces a novel Gibbs sampling-based method for timing gamma-ray pulsars, enabling efficient noise modeling and parameter estimation in discrete photon data, with applications to gravitational wave background limits.
Contribution
A new statistical approach transforming pulsar timing into a weighted least squares problem, allowing for robust noise analysis in gamma-ray data.
Findings
Simulated data show accurate estimation of timing noise parameters.
Applied method to B1957+20, setting stringent GWB upper limits.
Demonstrated effective modeling of orbital period variations.
Abstract
Timing analyses of gamma-ray pulsars in the Fermi Large Area Telescope data set can provide sensitive probes of many astrophysical processes, including timing noise in young pulsars, orbital period variations in redback binaries, and the stochastic gravitational wave background (GWB). These goals can require careful accounting of stochastic noise processes, but existing methods developed to achieve this in radio pulsar timing analyses cannot be immediately applied to the discrete gamma-ray arrival time data. To address this, we have developed a new method for timing gamma-ray pulsars, in which the timing model fit is transformed into a weighted least squares problem by randomly assigning each photon to an individual Gaussian component of a template pulse profile. These random assignments are then numerically marginalised over through a Gibbs sampling scheme. This method allows for…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Scientific Research and Discoveries · Astronomy and Astrophysical Research
