Pulsar glitch activity as a state-dependent Poisson process: parameter estimation and epoch prediction
A. Melatos, L. V. Drummond

TL;DR
This paper models pulsar glitch activity using a state-dependent Poisson process, estimating parameters for specific pulsars, and predicts future glitch epochs with a marginally better accuracy than simpler models.
Contribution
Introduces a minimal seven-parameter maximum likelihood model for pulsar glitches, providing insights into glitch microphysics and improving epoch prediction accuracy.
Findings
Model parameters have physically reasonable values.
The state-dependent Poisson model predicts glitch epochs slightly better than homogeneous models.
Predicted next glitches with associated uncertainties for three pulsars.
Abstract
Rotational glitches in some rotation-powered pulsars display power-law size and exponential waiting time distributions. These statistics are consistent with a state-dependent Poisson process, where the glitch rate is an increasing function of a global stress variable (e.g. crust-superfluid angular velocity lag), diverges at a threshold stress, increases smoothly while the star spins down, and decreases step-wise at each glitch. A minimal, seven-parameter, maximum likelihood model is calculated for PSR J1740-3015, PSR J0534+2200, and PSR J0631+1036, the three objects with the largest samples whose glitch activity is Poisson-like. The estimated parameters have theoretically reasonable values and contain useful information about the glitch microphysics. It is shown that the maximum likelihood, state-dependent Poisson model is a marginally (23-27 per cent) better post factum "predictor" of…
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