An updated glitch rate law inferred from radio pulsars
Margaret Millhouse, Andrew Melatos, George Howitt, Julian B. Carlin,, Liam Dunn, Gregory Ashton

TL;DR
This study refines the understanding of radio pulsar glitch rates by analyzing all available data, showing that glitch activity decreases with pulsar age and challenging previous models that suggested a linear age dependence.
Contribution
It introduces an updated age-dependent glitch rate law based on comprehensive data analysis, excluding simpler models and emphasizing the importance of including non-glitching pulsars in the population.
Findings
Glitch rate scales as a power law with pulsar age.
The data strongly exclude a linear age dependence model.
Including non-glitching pulsars refines the glitch rate estimates.
Abstract
Radio pulsar glitches probe far-from-equilibrium processes involving stress accumulation and relaxation in neutron star interiors. Previous studies of glitch rates have focused on individual pulsars with as many recorded glitches as possible. In this work we analyze glitch rates using all available data including objects that have glitched never or once. We assume the glitch rate follows a homogeneous Poisson process, and therefore exclude pulsars which exhibit quasiperiodic glitching behavior. Calculating relevant Bayes factors shows that a model in which the glitch rate scales as a power of the characteristic age is preferred over models which depend arbitrarily on powers of the spin frequency and/or its time derivative . For , where is a reference time, the posterior distributions…
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