Pulsar State Switching from Markov Transitions and Stochastic Resonance
J. M. Cordes

TL;DR
This paper models pulsar state switching using Markov processes and explores how stochastic resonance and nonlinear magnetospheric dynamics explain observed phenomena and long-term periodicities.
Contribution
It introduces a Markovian framework for pulsar state changes and links stochastic resonance to long-term periodicities in pulsar emissions.
Findings
Markov processes fit pulsar state lifetime distributions
Stochastic resonance explains long-term periodicities like 38-day cycles
Multiple states and forbidden transitions observed in some pulsars
Abstract
Markov processes are shown to be consistent with metastable states seen in pulsar phenomena, including intensity nulling, pulse-shape mode changes, subpulse drift rates, spindown rates, and X-ray emission, based on the typically broad and monotonic distributions of state lifetimes. Markovianity implies a nonlinear magnetospheric system in which state changes occur stochastically, corresponding to transitions between local minima in an effective potential. State durations (though not transition times) are thus largely decoupled from the characteristic time scales of various magnetospheric processes. Dyadic states are common but some objects show at least four states with some transitions forbidden. Another case is the long-term intermittent pulsar B1931+24 that has binary radio-emission and torque states with wide, but non-monotonic duration distributions. It also shows a quasi-period of…
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