Speaker
Description
Crust-superfluid coupling plays an important role in neutron star rotation, particularly with respect to timing noise and glitches. Here, we present new timing-noise-based estimates of the crust-superfluid coupling timescale $\tau$ for 105 radio pulsars in the UTMOST dataset, by Kalman filtering the pulse times of arrival. The 105 objects are selected because they favour a two-component, crust-superfluid model over a one-component model with log Bayes factor over 5. The $\tau$ posteriors are sharply peaked among 28 out of 105 objects. Population-level scaling of $\tau$ as functions of the angular velocity $\Omega_{\rm c}$ and spin-down rate $\dot{\Omega}_{\rm c}$ of the crust is estimated among 101 out of 105 objects that are canonical. Implications for the crust-superfluid coupling through mutual friction are briefly discussed.